The VRVis K1 Research Center is the leading application oriented research center in the area of virtual reality (VR) and visualization (Vis) in Austria and is internationally recognized. You can find extensive Information about the VRVis-Center here
\r\n", "abstract": "The VRVis K1 Research Center is the leading application oriented research center in the area of virtual reality (VR) and visualization (Vis) in Austria and is internationally recognized. You can find extensive Information about the VRVis-Center here
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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=190", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:VRVis", "type": "image/png", "size": 3275, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/VRVis/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "K1", "contract_number": null, "comment": null, "funding_organisation": { "id": "K1", "drupal_id": 4145, "name": "FFG COMET K1-Zentrum", "logo": { "name": "logo.png", "type": "image/png", "size": 2040, "orig_name": "logo.png", "path": "FundingOrganisation:K1", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/K1/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "VRVis", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=K1", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "Ahmed-2008-EGVE", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "An Approach to Interaction Interoperability for Distributed Virtual Environments", "date": "2008", "abstract": "We present a preliminary framework for interaction interoperability in distributed virtual environments. The goal\r\nis to allow each user to use a different input devices and interaction techniques and yet collaborate seamlessly. The\r\nframework adopts a service oriented architecture and use a knowledge base in the form of three ontologies. The\r\nontologies use Web Ontology Language (OWL) to describe input devices, interaction techniques and interaction\r\ntasks. In addition, two directories contain application and user profiles. An inference engine searches for the\r\nbest possible combination of input devices, interaction techniques and tasks. The resulting user’s mapping file\r\nis then accessed using the framework distributed web service. Two proof-of-concept framework implementations\r\ndemonstrate how to develop a new application and how to support a legacy application.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 743, "image_height": 639, "name": "Ahmed-2008-EGVE-image.png", "type": "image/png", "size": 266833, "path": "Publication:Ahmed-2008-EGVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 767, 581, 768, 235 ], "booktitle": "Short papers and posters proceedings of the EGVE 2008", "date_from": "2008-05-29", "date_to": "2008-05-30", "event": "Virtual Environments 2008", "location": "Eindhoven, Holland", "pages_from": "35", "pages_to": "38", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 743, "image_height": 639, "name": "Ahmed-2008-EGVE-image.png", "type": "image/png", "size": 266833, "path": "Publication:Ahmed-2008-EGVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ahmed-2008-EGVE-paper.pdf", "type": "application/pdf", "size": 821904, "path": "Publication:Ahmed-2008-EGVE", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/", "__class": "Publication" }, { "id": "Bauer_Dominik_2018_VR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Evaluation of the Recognition Distances of Safety Signs in VR Considering Vision Impairments", "date": "2018-02", "abstract": "To facilitate the safe evacuation of buildings, escape-route safety signs need to be placed\nalong the whole escape route such that they are legible for building occupants. While\nstandards and legal requirements provide suggestions on how to select and place safety\nsigns to achieve this, they do not provide sufficient considerations concerning people\nsuffering from vision impairments. A main cause of vision impairment are age-related\neye diseases, with the most common symptom being the loss of visual acuity.\n\nWe investigate the influence of visual acuity on the ability to recognize safety signs using\na novel methodology, evaluating existing standards concerning vision impairments: We\ncalibrate the visual acuity of the test subjects to the same level via a standardized medical\ntest in VR. This is achieved by using test subjects with normal or corrected vision and\nsimulating the impairment in VR. Furthermore, we present a tool for lighting designers\nwhich enables them to check their designs considering maximum recognition distances to\ninvestigate problematic areas along an escape route.\n\nUsing our novel user-study methodology, we determined the recognition distances for\nsafety signs, observed under two different levels of visual acuity and varying observation\nangles. In addition, we determined the impact of the HTC Vive’s HMD on the visual\nacuity achievable in VR. We conclude that the existing standards fail to correctly estimate\nthe maximum recognition distances of safety signs for observers suffering from reduced\nvisual acuity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 700, "name": "Bauer_Dominik_2018_VR-image.PNG", "type": "image/png", "size": 363350, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1551 ], "date_end": "2018-02-27", "date_start": "2017-02", "diploma_examina": "2018-02-27", "matrikelnr": "1227005", "supervisor": [ 193, 1030 ], "research_areas": [ "Rendering" ], "keywords": [ "virtual reality", "vision impairment simulation", "emergency lighting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 700, "name": "Bauer_Dominik_2018_VR-image.PNG", "type": "image/png", "size": 363350, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 675, "image_height": 675, "name": "Bauer_Dominik_2018_VR-image2.PNG", "type": "image/png", "size": 118063, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-poster.pdf", "type": "application/pdf", "size": 4262784, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-thesis.pdf", "type": "application/pdf", "size": 20239365, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Bauer_Dominik_2018_VR-video.mp4", "type": "video/mp4", "size": 20669319, "path": "Publication:Bauer_Dominik_2018_VR", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/", "__class": "Publication" }, { "id": "Berger_2011_UAE", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction", "date": "2011-06", "abstract": "Systems projecting a continuous n-dimensional parameter space to a continuous m-dimensional target space play\r\nan important role in science and engineering. If evaluating the system is expensive, however, an analysis is often\r\nlimited to a small number of sample points. The main contribution of this paper is an interactive approach to\r\nenable a continuous analysis of a sampled parameter space with respect to multiple target values. We employ\r\nmethods from statistical learning to predict results in real-time at any user-defined point and its neighborhood. In\r\nparticular, we describe techniques to guide the user to potentially interesting parameter regions, and we visualize\r\nthe inherent uncertainty of predictions in 2D scatterplots and parallel coordinates. An evaluation describes a realworld\r\nscenario in the application context of car engine design and reports feedback of domain experts. The results\r\nindicate that our approach is suitable to accelerate a local sensitivity analysis of multiple target dimensions, and\r\nto determine a sufficient local sampling density for interesting parameter regions.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 961, 451, 962, 166 ], "date_from": "2011-05-31", "date_to": "2011-06-03", "event": "EuroVis 2011", "issn": "0167-7055", "journal": "Computer Graphics Forum", "lecturer": [ 961 ], "location": "Bergen, Norway", "note": "Best Paper Award", "number": "3", "pages_from": "911", "pages_to": "920", "volume": "30", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Berger_2011_UAE-Paper.pdf", "type": "application/pdf", "size": 10076298, "path": "Publication:Berger_2011_UAE", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Berger_2011_UAE/Berger_2011_UAE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Berger_2011_UAE/Berger_2011_UAE-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Berger_2011_UAE/", "__class": "Publication" }, { "id": "brunnhuber-2010-behavior-handicapped", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Simulation and Visualization of the Behavior of Handicapped People in Virtually Reconstructed Public Buildings", "date": "2010", "abstract": "The planning of public transport infrastructures today must respect the needs of a wide variety of travelers. In particular the design of guiding systems needs to take the reduced reception capabilities of the elderly and handicapped people into account.\r\nTherefore tools for the evaluation of guiding systems need to be developed. Such tools must be based on empirical knowledge on the perception capabilities of the various user groups as well as detailed microscopic pedestrian movement models in order to represent typical paths taken. We model the cognition of guiding systems to enable a realistic representation for the motion and orientation behavior of elderly and handicapped people having difficulties perceiving the guidance information and not being familiar with a building.\r\nTo demonstrate the feasibility of the approach we discuss a technique to virtually reconstruct public buildings in 3D and visualize the simulated crowd with detailed models for each individual. The lines of sight of selected, handicapped persons, who are moving amongst other persons, are also shown in order to evaluate the visibility of the guiding information in the infrastructure and to hint at possible improvements.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 882, 883, 205, 884, 190 ], "booktitle": "CORP 2010", "lecturer": [ 205 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "brunnhuber-2010-behavior-handicapped-Paper.pdf", "type": "application/pdf", "size": 361611, "path": "Publication:brunnhuber-2010-behavior-handicapped", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brunnhuber-2010-behavior-handicapped/brunnhuber-2010-behavior-handicapped-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/brunnhuber-2010-behavior-handicapped/brunnhuber-2010-behavior-handicapped-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brunnhuber-2010-behavior-handicapped/", "__class": "Publication" }, { "id": "Cai_2018", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Research on Graphical Interfaces to Perform Anatomical Queries on Large Collections of Gene Expression Images", "date": "2018-04-06", "abstract": "As image information is increasing sharply, searching and presenting interesting images\nin large databases have become more and more important in image management. In this\npaper, an optimizing graphical query interface was designed for anatomical search to present more valuable information from the large neuro-anatomical image collections of Drosophila (fruit fly) brains. In order to achieve the goal, the relevant websites of “Fly Circuit”, “Fly Light” and “Allen Mouse Brain Atlas”, and the image management software of PivotViewer and Zegami were investigated firstly. Then, analysis and comparison for\nthe mentioned tools using different perspectives were conducted to define the guidelines for best practices out of them. Based on the findings, several redesigns are proposed for neuro-anatomical query interfaces and part of them were implemented. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 506, "image_height": 278, "name": "Cai_2018-image.JPG", "type": "image/jpeg", "size": 38696, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1553 ], "date_end": "2018-04-06", "date_start": "2017-10-06", "matrikelnr": "1425123", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Cai_2018-Bachelor Thesis.pdf", "type": "application/pdf", "size": 28622827, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 506, "image_height": 278, "name": "Cai_2018-image.JPG", "type": "image/jpeg", "size": 38696, "path": "Publication:Cai_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/", "__class": "Publication" }, { "id": "CORNEL-2014-AFRS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Analysis of Forced Random Sampling", "date": "2014-10", "abstract": "Stochastic sampling is an indispensable tool in computer graphics which allows approximating complex functions and integrals in finite time. Applications which rely on stochastic sampling include ray tracing, remeshing, stippling and texture synthesis. In order to cover the sample domain evenly and without regular patterns, the sample distribution has to guarantee spatial uniformity without regularity and is said to have blue-noise properties. Additionally, the samples need to be distributed according to an importance function such that the sample distribution satisfies a given sampling probability density function globally while being well distributed locally. The generation of optimal blue-noise sample distributions is expensive, which is why a lot of effort has been devoted to finding fast approximate blue-noise sampling algorithms. Most of these algorithms, however, are either not applicable in real time or have weak blue-noise properties.\r\n\r\nForced Random Sampling is a novel algorithm for real-time importance sampling. Samples are generated by thresholding a precomputed dither matrix with the importance function. By the design of the matrix, the sample points show desirable local distribution properties and are adapted to the given importance. In this thesis, an efficient and parallelizable implementation of this algorithm is proposed and analyzed regarding its sample distribution quality and runtime performance. The results are compared to both the qualitative optimum of blue-noise sampling and the state of the art of real-time importance sampling, which is Hierarchical SampleWarping. With this comparison, it is investigated whether Forced Random Sampling is competitive with current sampling algorithms.\r\n\r\nThe analysis of sample distributions includes several discrepancy measures and the sample density to evaluate their spatial properties as well as Fourier and differential domain analyses to evaluate their spectral properties. With these established methods, it is shown that Forced Random Sampling generates samples with approximate blue-noise properties in real time. Compared to the state of the art, the proposed algorithm is able to generate samples of higher quality with less computational effort and is therefore a valid alternative to current importance sampling algorithms.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 255, "image_height": 128, "name": "CORNEL-2014-AFRS-image.jpg", "type": "image/jpeg", "size": 13173, "path": "Publication:CORNEL-2014-AFRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877 ], "diploma_examina": "2014-10-07", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "global illumination", "Poisson disk sampling" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 255, "image_height": 128, "name": "CORNEL-2014-AFRS-image.jpg", "type": "image/jpeg", "size": 13173, "path": "Publication:CORNEL-2014-AFRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CORNEL-2014-AFRS-thesis.pdf", "type": "application/pdf", "size": 8921300, "path": "Publication:CORNEL-2014-AFRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/", "__class": "Publication" }, { "id": "CORNEL-2017-FRS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Forced Random Sampling: fast generation of importance-guided blue-noise samples", "date": "2017-06", "abstract": "In computer graphics, stochastic sampling is frequently used to efficiently approximate complex functions and integrals. The error of approximation can be reduced by distributing samples according to an importance function, but cannot be eliminated completely. To avoid visible artifacts, sample distributions are sought to be random, but spatially uniform, which is called blue-noise sampling. The generation of unbiased, importance-guided blue-noise samples is expensive and not feasible for real-time applications. Sampling algorithms for these applications focus on runtime performance at the cost of having weak blue-noise properties. Blue-noise distributions have also been proposed for digital halftoning in the form of precomputed dither matrices. Ordered dithering with such matrices allows to distribute dots with blue-noise properties according to a grayscale image. By the nature of ordered dithering, this process can be parallelized easily. We introduce a novel sampling method called forced random sampling that is based on forced random dithering, a variant of ordered dithering with blue noise. By shifting the main computational effort into the generation of a precomputed dither matrix, our sampling method runs efficiently on GPUs and allows real-time importance sampling with blue noise for a finite number of samples. We demonstrate the quality of our method in two different rendering applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3206, "image_height": 1830, "name": "CORNEL-2017-FRS-image2.png", "type": "image/png", "size": 2261746, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1129, 659, 193 ], "date_from": "2017-06-27", "date_to": "2017-06-30", "event": "Computer Graphics International 2017", "issn": "1432-2315", "journal": "The Visual Computer", "lecturer": [ 877 ], "location": "Yokohama, Japan", "number": "6", "pages_from": "833", "pages_to": "843", "volume": "33", "research_areas": [ "Rendering" ], "keywords": [ "blue-noise sampling", "importance sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 512, "name": "CORNEL-2017-FRS-image.png", "type": "image/png", "size": 345074, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3206, "image_height": 1830, "name": "CORNEL-2017-FRS-image2.png", "type": "image/png", "size": 2261746, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CORNEL-2017-FRS-paper.pdf", "type": "binary/octet-stream", "size": 4668674, "path": "Publication:CORNEL-2017-FRS", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "PathSpace", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/", "__class": "Publication" }, { "id": "CORNEL-2019-IVF", "type_id": "journalpaper", "tu_id": 282894, "repositum_id": null, "title": "Interactive Visualization of Flood and Heavy Rain Simulations", "date": "2019-06", "abstract": "In this paper, we present a real-time technique to visualize large-scale adaptive height fields withC1-continuous surfacereconstruction. Grid-based shallow water simulation is an indispensable tool for interactive flood management applications.Height fields defined on adaptive grids are often the only viable option to store and process the massive simulation data. Theirvisualization requires the reconstruction of a continuous surface from the spatially discrete simulation data. For regular grids,fast linear and cubic interpolation are commonly used for surface reconstruction. For adaptive grids, however, there exists nohigher-order interpolation technique fast enough for interactive applications.Our proposed technique bridges the gap between fast linear and expensive higher-order interpolation for adaptive surfacereconstruction. During reconstruction, no matter if regular or adaptive, discretization and interpolation artifacts can occur,which domain experts consider misleading and unaesthetic. We take into account boundary conditions to eliminate these artifacts,which include water climbing uphill, diving towards walls, and leaking through thin objects. We apply realistic water shadingwith visual cues for depth perception and add waves and foam synthesized from the simulation data to emphasize flow directions.The versatility and performance of our technique are demonstrated in various real-world scenarios. A survey conducted withdomain experts of different backgrounds and concerned citizens proves the usefulness and effectiveness of our technique.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 321, "name": "CORNEL-2019-IVF-image.png", "type": "image/png", "size": 323302, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 877, 1688, 1205, 1207, 193, 1689, 798 ], "cfp": { "name": "Eurovis 2019-cfp.pdf", "type": "application/pdf", "error": "0", "size": "138759", "orig_name": "Eurovis 2019-cfp.pdf", "ext": "pdf" }, "date_from": "2019-06-03", "date_to": "2019-06-07", "doi": "10.1111/cgf.13669", "event": "Eurographics/VGTC Conference on Visualization (EuroVis) 2019", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 877 ], "location": "Porto, Portugal", "number": "3", "pages_from": "25", "pages_to": "39", "volume": "38", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 321, "name": "CORNEL-2019-IVF-image.png", "type": "image/png", "size": 323302, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "CORNEL-2019-IVF-Paper.pdf", "type": "application/pdf", "size": 5349440, "path": "Publication:CORNEL-2019-IVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/", "__class": "Publication" }, { "id": "cornel-2022-wih", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/154434", "title": "Watertight Incremental Heightfield Tessellation", "date": "2022-05-06", "abstract": "In this paper, we propose a method for the interactive visualization of medium-scale dynamic heightfields without visual artifacts. Our data fall into a category too large to be rendered directly at full resolution, but small enough to fit into GPU memory without pre-filtering and data streaming. We present the real-world use case of unfiltered flood simulation data of such medium scale that need to be visualized in real time for scientific purposes. Our solution facilitates compute shaders to maintain a guaranteed watertight triangulation in GPU memory that approximates the interpolated heightfields with view-dependent, continuous levels of detail. In each frame, the triangulation is updated incrementally by iteratively refining the cached result of the previous frame to minimize the computational effort. In particular, we minimize the number of heightfield sampling operations to make adaptive and higher-order interpolations viable options. We impose no restriction on the number of subdivisions and the achievable level of detail to allow for extreme zoom ranges required in geospatial visualization. Our method provides a stable runtime performance and can be executed with a limited time budget. We present a comparison of our method to three state-of-the-art methods, in which our method is competitive to previous non-watertight methods in terms of runtime, while outperforming them in terms of accuracy.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.", "filetitle": "detail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-detail.png", "type": "image/png", "size": 1766315, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png" }, "sync_repositum_override": "projects,date", "repositum_presentation_id": null, "authors": [ 877, 1793, 166, 798 ], "doi": "10.1109/TVCG.2022.3173081", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "pages": "12", "publisher": "Institute of Electrical and Electronics Engineers (IEEE)", "volume": "PP", "research_areas": [ "Geometry" ], "keywords": [ "Data visualization", "Graphics processing units", "heightfield rendering", "Interpolation", "level of detail", "Merging", "Real-time systems", "Rendering (computer graphics)", "Surface reconstruction", "terrain rendering", "tessellation", "Visualization techniques and methodologies" ], "weblinks": [], "files": [ { "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.", "filetitle": "detail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-detail.png", "type": "image/png", "size": 1766315, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png" }, { "description": null, "filetitle": "implementation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cornel-2022-wih-implementation.zip", "type": "application/zip", "size": 8540732, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-implementation.zip", "thumb_image_sizes": [] }, { "description": "Real-time visualization result of our method for decision support in flood management. Overview perspective\nwith geospatial data of Austria. Three nested terrain heightfields defined on an area of 572 km × 293 km are combined with\na dynamic water heightfield in a focus region of 22 km × 15 km .", "filetitle": "overview", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1000, "name": "cornel-2022-wih-overview.png", "type": "image/png", "size": 3589497, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cornel-2022-wih-paper.pdf", "type": "application/pdf", "size": 16857216, "path": "Publication:cornel-2022-wih", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/", "__class": "Publication" }, { "id": "donabauer_2019_1", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "VR-Client for Scenario-based Response Training in Disaster Management", "date": "2019-01-23", "abstract": "In times of natural disasters like floods, the fast action of domain experts saves human lives and reduces high damages of the urban infrastructure. The training of different response plans of the responsible personnel should help in making the right decisions in time critical situations. As the creation of various physical training environments takes plenty of time, the use of virtual reality (VR) is a possible alternative. In recent years, different application domains with training purpose have been shifted to make use of the new developments in the field of VR. The desired benefits are a more flexible\ngeneration of different realistic training environments with low budget and material\nresources. Additionally, the VR application can serve as a public communication tool\nto raise the sense of awareness. Based on these considerations, the aim of this work\nis to create a VR training application to steer a remote flood simulation. The goal of the application is to provide a safe and realistic environment to train the responsible personnel. Through providing different scenarios, multiple flood events can be simulated and trained. The placement of barriers through interacting with the virtual environment offers possibilities to mitigate the results of the simulated floods. An Operator-Trainee setup enables the collaborative work between experts and trainees. While the expert works as an operator with a PC client, the trainee is able to perform instructions given\nby the operator within the virtual environment. VR applications demand for high and steady frame rates as well as two high resolution images for both eyes to provide an immersive VR experience. Based on these conditions, appropriate PC hardware is needed to run a VR application in general. Additionally, high computational power is needed to perform the different flood simulations in a fast way. In order to achieve the performance requirements, the VR application is implemented within a client-server\narchitecture. The server is responsible for performing the flood simulation, while the\nclient deals with the VR-related tasks. These tasks comprise the visualization of the simulation data in VR and a fast and efficient processing of the data. In combination with a high performance rendering engine and graphic commands suitable for the given data, the desired performance can be achieved. As the feeling of immersion is highly depending on the provided frame rates, the evaluation of this first prototype is based on the achieved rendering performance. This is measured and evaluated based on two\ndifferent implementation strategies. Another important measurement is the update time of the water flow. A comparison of a CPU and a GPU implementation is presented\nwithin the evaluation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 367, "image_height": 312, "name": "donabauer_2019_1-image.PNG", "type": "image/png", "size": 237628, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1266 ], "date_end": "2019-01-23", "date_start": "2017-07-06", "matrikelnr": "01226287", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 367, "image_height": 312, "name": "donabauer_2019_1-image.PNG", "type": "image/png", "size": 237628, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "donabauer_2019_1-Master thesis.pdf", "type": "application/pdf", "size": 20661653, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "donabauer_2019_1-Poster.pdf", "type": "application/pdf", "size": 4659101, "path": "Publication:donabauer_2019_1", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/", "__class": "Publication" }, { "id": "Eibner-12", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": " GPU-based Multi-Resolution Image Analysis for Synthesis of Tileable Textures", "date": "2012-07", "abstract": "We propose a GPU-based algorithm for texture analysis and synthesis of nearly-regular patterns, in our case scanned textiles or similar manufactured surfaces. The method takes advantage of the highly parallel execution on the GPU to generate correlation maps from captured template images. In an analysis step a lattice encoding the periodicity of the texture is computed. This lattice is used to synthesize the smallest texture tile describing the underlying pattern. Compared to other approaches, our method analyzes and synthesizes a valid lattice model without any user interaction. It is robust against small distortions and fast compared to other, more general approaches. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Eibner-12-Paper.pdf", "type": "application/pdf", "size": 5508484, "path": "Publication:Eibner-12", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 843, 204, 190 ], "booktitle": "Proceedings Intern. Symposium on Visual Computing (ISVC 2012)", "date_from": "2012-07-16", "date_to": "2012-07-18", "isbn": "978-3-642-33190-9", "issn": "0302-9743", "lecturer": [ 843 ], "location": "Creta, Greece", "organization": "Symposium proceedings", "pages_from": "479", "pages_to": "488", "publisher": "Springer-Verlag", "series": "Lecture Notes in Computer Science (LNCS) series", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Eibner-12-Paper.pdf", "type": "application/pdf", "size": 5508484, "path": "Publication:Eibner-12", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/", "__class": "Publication" }, { "id": "ERLER-2017-HVR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Haptic Feedback in Room-Scale VR", "date": "2017-07-18", "abstract": "Virtual reality (VR) is now becoming a mainstream medium. Current systems like the HTC Vive offer accurate tracking of the HMD and controllers, which allows for highly immersive interactions with the virtual environment. The interactions can be further enhanced by adding feedback. As an example, a controller can vibrate when it is close to a grabbable ball. \n\nAs such interactions are not exhaustingly researched, we conducted a user study. Specifically, we examine:\n\n- grabbing and throwing with controllers in a simple basketball game.\n\n- the influence of haptic and optical feedback on performance, presence, task load, and usability.\n\n- the advantages of VR over desktop for point-cloud editing.\n\nSeveral new techniques emerged from the point-cloud editor for VR. The bi-manual pinch gesture, which extends the handlebar metaphor, is a novel viewing method used to translate, rotate, and scale the point-cloud. Our new rendering technique uses the geometry shader to draw sparse point clouds quickly. The selection volumes at the controllers are our new technique to efficiently select points in point clouds. The resulting selection is visualized in real time.\n\nThe results of the user study show that:\n\n- grabbing with a controller button is intuitive but throwing is not. Releasing a button is a bad metaphor for releasing a grabbed virtual object in order to throw it.\n\n- any feedback is better than none. Adding haptic, optical, or both feedback types to the grabbing improves the user performance and presence. However, only sub-scores like accuracy and predictability are significantly improved. Usability and task load are mostly unaffected by feedback.\n\n- the point-cloud editing is significantly better in VR with the bi-manual pinch gesture and selection volumes than on the desktop with the orbiting camera and lasso selections.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "point cloud selection", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "ERLER-2017-HVR-point cloud selection.png", "type": "image/png", "size": 920489, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395 ], "date_end": "2017", "date_start": "2016", "diploma_examina": "2017-08-17", "matrikelnr": "01426424", "supervisor": [ 193, 1116 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "virtual reality, room-scale VR, throwing, grabbing, physics, basketball, haptic feedback, optical feedback, controllers, point cloud, point-cloud editing, presence, performance, usability, task load" ], "weblinks": [ { "href": "https://github.com/ErlerPhilipp/VR_DA", "caption": "VR Apps Repo", "description": "This is the repo containing the basketball game, the feedback tester and the point cloud editor.", "main_file": 1 }, { "href": "https://bitbucket.org/PhErler/surveyanalyzer/src/master/", "caption": "Analyzer Repo", "description": "This is the self-written tool to analyze the survey results statistically.", "main_file": 1 }, { "href": "https://philipperler.net/2017/06/13/haptic-feedback-in-room-scale-vr/", "caption": "P++ VR DA", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "point cloud selection", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 900, "name": "ERLER-2017-HVR-point cloud selection.png", "type": "image/png", "size": 920489, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ERLER-2017-HVR-poster.pdf", "type": "application/pdf", "size": 6221471, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ERLER-2017-HVR-thesis.pdf", "type": "application/pdf", "size": 15825861, "path": "Publication:ERLER-2017-HVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/", "__class": "Publication" }, { "id": "Freiler-2008-Set", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis of Set-Typed Data", "date": "2008-11", "abstract": "While it is quite typical to deal with attributes of different data types in the visualization of heterogeneous, multivariate\r\ndatasets, most existing techniques still focus on the most usual data types such as numerical attributes or strings.\r\nIn this paper we present a new approach to the interactive visual exploration and analysis of data that contains attributes which are\r\nof set type. A set-typed attribute of a data item – like one cell in a table – has a list of n ¸ 0 elements as a value. We present the\r\nset’o’gram as a visualization approach to represent data of set type and to enable interactive visual analysis. We also demonstrate\r\nhow this approach is capable to help in dealing with datasets that have truly many dimensions (more than a dozen or more), especially\r\nin the context of categorical data.\r\nTo illustrate the effectiveness of our approach, we present the interactive visual analysis of a CRM dataset with data from a questionnaire\r\non the education and shopping habits of about 90000 people.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 630, "image_height": 657, "name": "Freiler-2008-Set-image.jpg", "type": "image/jpeg", "size": 56843, "path": "Publication:Freiler-2008-Set", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 758, 235, 176 ], "date_from": "2008-10-19", "date_to": "2008-10-24", "event": "IEEE Info Vis ", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 758 ], "location": "Columbus, Ohio", "number": "6", "volume": "14", "research_areas": [], "keywords": [ "Interactive Visual Analysis", " Multiple Coordinated Views", "Focus & Context", "Categorical Data", "Multidimensional Multivariate Data" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 630, "image_height": 657, "name": "Freiler-2008-Set-image.jpg", "type": "image/jpeg", "size": 56843, "path": "Publication:Freiler-2008-Set", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Freiler-2008-Set-paper.pdf", "type": "application/pdf", "size": 593020, "path": "Publication:Freiler-2008-Set", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/", "__class": "Publication" }, { "id": "Gan-2011-ICU", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis of a large ICU database - a novel approach to data analysis", "date": "2011-03", "abstract": "ICUs generate vast amounts of valuable data. The size and complexity of the data make analysis technically demanding and time-consuming. We used interactive visual analysis (IVA) to analyse a large ICU database using the association between sodium and mortality as a case study. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 937, 235, 748, 190, 938, 939 ], "date_from": "2011-03-22", "date_to": "2011-03-25", "event": "31st International Symposium on Intensive Care and Emergency Medicine", "issn": "1364-8535", "journal": "Critical Care", "lecturer": [ 937 ], "location": "Brussels, Belgium", "number": "(suppl.1)", "pages_from": "135", "volume": "15", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Gan-2011-ICU-Paper.pdf", "type": "application/pdf", "size": 6360043, "path": "Publication:Gan-2011-ICU", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gan-2011-ICU/Gan-2011-ICU-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gan-2011-ICU/Gan-2011-ICU-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gan-2011-ICU/", "__class": "Publication" }, { "id": "Ganuza", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Visualización y Realidad Aumentada en el Campo de las Ciencias Geológicas", "date": "2017-04", "abstract": "En el campo de las Ciencias Geológicas, un desafío importante consiste en encontrar una representación adecuada de una gran cantidad de datos de distintos tipos, que abarcan análisis de muestras minerales, datos topográficos, proyecciones cartográficas, datos geofísicos, entre otros. La exploración y análisis de estos datos requiere un soporte visual adecuado. Por otra parte, es importante la asistencia de dispositivos móviles al momento de adquirir estos datos en el trabajo de campo. En esta línea de investigación se está trabajando en el diseño y la generación de visualizaciones y de sistemas que las soporten con el objetivo de asistir al geólogo en varias de sus tareas habituales. Por un lado, una sub-línea se refiere a la visualización de datos geológicos que provean un soporte adecuado para la exploración eficiente de distintos conjuntos de datos de micro-química. Por otro, se trabaja en incorporar visualizaciones que asistan al geólogo en la obtención de datos geológicos en el trabajo de campo; esto se lleva a cabo mediante el uso de tecnología de Realidad Aumentada y el uso de dispositivos móviles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 236, "name": "Ganuza-image.JPG", "type": "image/jpeg", "size": 21870, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1536, 1537, 408, 1232, 1233, 1229, 235, 166 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "http://sedici.unlp.edu.ar/handle/10915/61871", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 446, "image_height": 236, "name": "Ganuza-image.JPG", "type": "image/jpeg", "size": 21870, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza-paper.pdf", "type": "application/pdf", "size": 993131, "path": "Publication:Ganuza", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/", "__class": "Publication" }, { "id": "Ganuza-2017-IVCSGM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Categorization of Spinel-Group Minerals", "date": "2017-05", "abstract": "Spinel-group minerals are excellent indicators of geological environments and are of invaluable help in the search for mineral\ndeposits of economic interest. The geologists analyze them by means of Barnes and Roeder’s contours. In this paper, we present a\ncollection of novel, interactive methods, which assist geologists in the categorization of spinel-group minerals. We fully integrate\nBarnes and Roeder’s contours using a polygonal representation. This makes it possible to efficiently superimpose user-provided point\ndata over the contours, and to automatically rank the contours based on the number of enclosed points. We also allow the expert to\ncreate contours for the user-provided point data. Once user contours are created, they can be compared with Barnes and Roeder’s\ncontours. During the analysis, the user can drill-down by means of brushing. As we deal with specific data, we apply two novel\nbrushing techniques, i.e., the percentile brush and the contour brush. The novel brushing mechanisms along with the interactive\ncomparison speed-up the analysis significantly. We evaluate the newly introduced approach and the resulting novel workflow using\nreal-word data from different locations in Argentina. According to the domain experts, the classification of spinel minerals needs\nseveral minutes now, while it took a few days with the current state of the art approach in the domain.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1228, 1229, 1233, 408, 1232, 166, 235 ], "booktitle": "Proceedings of the 33rd Spring Conference on Computer Graphics (SCCG 2017)", "event": "33rd Spring Conference on Computer Graphics (SCCG 2017)", "lecturer": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ganuza-2017-IVCSGM-paper.pdf", "type": "application/pdf", "size": 3367249, "path": "Publication:Ganuza-2017-IVCSGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/", "__class": "Publication" }, { "id": "ilcik-2008-sgfa", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Semi-Global Approach to Interactive Visual Analysis of Multivariate Flow Simulation Data", "date": "2008", "abstract": "We introduce a framework for interactive visualization of global flow features in large unsteady 3D flow fields. It is based on selective visualization using dense precomputed integral lines (streamlines, path lines) linked together with all other data attributes. This way we are able to provide an uniform and interactive environment for custom feature specification and visualization of non-local data aspects. These are related to the long term flow behavior, thus their description using only local properties is not possible. We demonstrate the benefits of working with semi-global features by a simple strategy for recognition of recirculation zones within 3D vector fields, judging on a self-proximity measure of integral lines.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustration of local and global features combination.", "filetitle": "teaserimage", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2200, "image_height": 750, "name": "ilcik-2008-sgfa-teaserimage.jpg", "type": "image/jpeg", "size": 284967, "path": "Publication:ilcik-2008-sgfa", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303 ], "issn": "1811-8992", "journal": "Computer Graphics & Geometry", "number": "3", "pages_from": "18", "pages_to": "35", "volume": "10", "research_areas": [], "keywords": [ "global features", "integral lines", "flow visualization", "recirculation" ], "weblinks": [], "files": [ { "description": "Visualization with help of integral lines selected by a recirculation criterion. The color represents temperature.", "filetitle": "image01", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 868, "image_height": 673, "name": "ilcik-2008-sgfa-image01.jpg", "type": "image/jpeg", "size": 144479, "path": "Publication:ilcik-2008-sgfa", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image01.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image01:thumb{{size}}.png" }, { "description": "A comparison of visual analysis layers: Direct, local and global. Color represents velocity magnitude.", "filetitle": "image02", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3410, "image_height": 899, "name": "ilcik-2008-sgfa-image02.jpg", "type": "image/jpeg", "size": 472857, "path": "Publication:ilcik-2008-sgfa", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image02.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image02:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ilcik-2008-sgfa-paper.zip", "type": "application/x-zip", "size": 4448771, "path": "Publication:ilcik-2008-sgfa", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-paper.zip", "thumb_image_sizes": [] }, { "description": "Illustration of local and global features combination.", "filetitle": "teaserimage", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2200, "image_height": 750, "name": "ilcik-2008-sgfa-teaserimage.jpg", "type": "image/jpeg", "size": 284967, "path": "Publication:ilcik-2008-sgfa", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/", "__class": "Publication" }, { "id": "Kathi-2018-VRB", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings", "date": "2018-04-30", "abstract": "In workplaces or publicly accessible buildings, escape routes are signposted according to official norms or international standards that specify distances, angles and areas of interest for the positioning of escape-route signs. In homes for the elderly, in which the residents commonly have degraded mobility and suffer from vision impairments caused by age or eye diseases, the specifications of current norms and standards may be insufficient. Quantifying the effect of symptoms of vision impairments like reduced visual acuity on recognition distances is challenging, as it is cumbersome to find a large number of user study participants who suffer from exactly the same form of vision impairments. Hence, we propose a new methodology for such user studies: By conducting a user study in virtual reality (VR), we are able to use participants with normal or corrected sight and simulate vision impairments graphically. The use of standardized medical eyesight tests in VR allows us to calibrate the visual acuity of all our participants to the same level, taking their respective visual acuity into account. Since we primarily focus on homes for the elderly, we accounted for their often limited mobility by implementing a wheelchair simulation for our VR application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 327, "image_height": 327, "name": "Kathi-2018-VRB-image.JPG", "type": "image/jpeg", "size": 24451, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1551, 678, 1492, 193, 1559 ], "date_from": "2018-06-11", "date_to": "2018-06-14", "doi": "10.1007/s00371-018-1517-7", "event": "Computer Graphics International (CGI)", "issn": "0178-2789", "journal": "The Visual Computer", "lecturer": [ 1030 ], "location": "Bintan, Indonesia", "number": "6-8", "open_access": "yes", "pages_from": "911", "pages_to": "923", "volume": "34", "research_areas": [ "Perception", "Rendering", "VR" ], "keywords": [], "weblinks": [ { "href": "https://link.springer.com/article/10.1007%2Fs00371-018-1517-7", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 327, "image_height": 327, "name": "Kathi-2018-VRB-image.JPG", "type": "image/jpeg", "size": 24451, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kathi-2018-VRB-Paper.pdf", "type": "application/pdf", "size": 1077352, "path": "Publication:Kathi-2018-VRB", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/", "__class": "Publication" }, { "id": "kavelar_albert_2010_ebic", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Edge-Based Image Coarsening", "date": "2010", "abstract": "Project canceled, since Student did not appeared for a long time. Student received the grade 5.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 898 ], "date_end": "2011-01-31", "date_start": "2010-02-01", "matrikelnr": "e0426856", "supervisor": [ 844 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kavelar_albert_2010_ebic/", "__class": "Publication" }, { "id": "Kellner-2021-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Klassifikation Urbaner Punktwolken Mittels 3D CNNs In Kombination mit Rekonstruktion von Gehsteigen", "date": "2021-03", "abstract": "LiDAR devices are able to capture the physical world very accurately. Therefore, they\nare often used for 3D reconstruction. Unfortunately, such data can become extremely\nlarge very quickly and usually only a small part of the point cloud is of interest. Thus,\nthe point cloud is filtered beforehand in order to apply algorithms only on those points\nthat are relevant for it. A semantic information about the points can be used for such a\nfiltering. Semantic segmentation of point clouds is a popular field of research and here\nthere has been a trend towards deep learning in recent years too. However, contrary to\nimages, point clouds are unstructured. Hence, point clouds are often rasterized, but this\nhas to be done, such that the underlying structure is represented well.\nIn this thesis, a 3D Convolutional Neural Network is developed and trained for a semantic\nsegmentation of LiDAR point clouds. Thereby, a point cloud is represented with an\noctree data structure, which makes it easy to rasterize only relevant parts. Since, just\ndense parts of the point cloud, in which important information about the structure is\nlocated, are subdivided further. This allows to simply take nodes of a certain level of the\noctree and rasterize them as data samples.\nThere are many application areas for 3D reconstructions based on point clouds. In an\nurban scenario, these can be for example whole city models or buildings. However, in this\nthesis, the reconstruction of sidewalks is explored. Since, for flood simulations in cities, an\nincrease in height of a few centimeters can make a great difference and information about\nthe curb geometry helps to make them more accurate. In the sidewalk reconstruction\nprocess, the point cloud is filtered first, based on a semantic segmentation of a 3D CNN,\nand then point cloud features are calculated to detect curb points. With these curb\npoints, the geometry of the curb, sidewalk and street are computed.\nTaken all together, this thesis develops a proof-of-concept prototype for semantic point\ncloud segmentation using 3D CNNs and based on that, a curb detection and reconstruction\nalgorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2559, "image_height": 830, "name": "Kellner-2021-DA-image.png", "type": "image/png", "size": 4022399, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1466 ], "date_end": "2021", "date_start": "2020", "diploma_examina": "2021-04-14", "matrikelnr": "01428183", "note": "1", "open_access": "yes", "supervisor": [ 190 ], "research_areas": [ "Geometry", "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Diploma Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Kellner-2021-DA-Diploma Thesis.pdf", "type": "application/pdf", "size": 72361959, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-Diploma Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-Diploma Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2559, "image_height": 830, "name": "Kellner-2021-DA-image.png", "type": "image/png", "size": 4022399, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Kellner-2021-DA-poster.pdf", "type": "application/pdf", "size": 3185169, "path": "Publication:Kellner-2021-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/", "__class": "Publication" }, { "id": "kim_2009_iPhone", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "iPhone/iPod Touch as Input Devices for Navigation in Immersive Virtual Environments", "date": "2009-03", "abstract": "iPhone and iPod Touch are multi-touch handheld devices that provide\r\nnew possibilities for interaction techniques. We describe\r\niPhone/iPod Touch implementation of a navigation interaction technique\r\noriginally developed for a larger multi-touch device (i.e.\r\nLemur). The interaction technique implemented on an iPhone/iPod\r\nTouch was used for navigation tasks in a CAVE virtual environment.\r\nWe performed a pilot study to measure the control accuracy\r\nand to observe how human subjects respond to the interaction technique\r\non the iPhone and iPod Touch devices. We used the preliminary\r\nresults to improve the design of the interaction technique.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 480, "image_height": 195, "name": "kim_2009_iPhone-image.bmp", "type": "image/x-ms-bmp", "size": 280854, "path": "Publication:kim_2009_iPhone", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 624, 581, 235, 759 ], "booktitle": "Proceedings of IEEE VR 2009", "date_from": "2009-03-14", "date_to": "2009-03-18", "editor": "Anthony Steed, Dirk Reiners, Robert W. Lindeman", "event": "Virtual Reality Conference, 2009", "isbn": "978-1-4244-3943-0", "lecturer": [ 624 ], "location": "Lafayette, Louisiana, USA", "pages_from": "261", "pages_to": "262", "publisher": "IEEE", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 480, "image_height": 195, "name": "kim_2009_iPhone-image.bmp", "type": "image/x-ms-bmp", "size": 280854, "path": "Publication:kim_2009_iPhone", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kim_2009_iPhone-paper.pdf", "type": "application/pdf", "size": 279055, "path": "Publication:kim_2009_iPhone", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/", "__class": "Publication" }, { "id": "Kim-2008_FWIP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Finger Walking in Place (FWIP): a Traveling Technique in Virtual Environments", "date": "2008-08", "abstract": "In this paper we present a Finger Walking in Place (FWIP)\r\ninteraction technique that allows a user to travel in a virtual world as\r\nher/his bare ¯ngers slide on a multi-touch sensitive surface. Traveling is\r\nbasically realized by translating and rotating the user's viewpoint in the\r\nvirtual world. The user can translate and rotate a viewpoint by mov-\r\ning her/his ¯ngers in place. Currently, our FWIP technique can be used\r\nto navigate in a plane but it can be extended to navigate in the third\r\naxis, so that the user can move to any direction in a 3D virtual world.\r\nSince our FWIP technique only uses bare ¯ngers and a multi-touch de-\r\nvice, ¯nger motions are not precisely detected, especially compared with\r\nthe use of data gloves or similar sensing devices. However, our experi-\r\nments show that FWIP can be used as a novel traveling technique even\r\nwithout accurate motion detection. Our experiment tasks include ¯nding\r\nand reaching the target(s) with FWIP, and the participants successfully\r\ncompleted the tasks. The experiments illustrate our e®orts to make the\r\nFWIP technique robust as a scaled-down walking-in-place locomotion\r\ntechnique, so that it can be used as a reliable traveling technique.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 270, "image_height": 135, "name": "Kim-2008_FWIP-.jpg", "type": "image/jpeg", "size": 11617, "path": "Publication:Kim-2008_FWIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 624, 581, 235, 759 ], "booktitle": "Proceedings of SmartGraphics 2008, Springer LNCS 5166/2008", "isbn": "978-3-540-85410-4", "issn": "0302-9743 (Print) 1611-3349 (Online)", "lecturer": [ 235 ], "location": "Rennes, France", "publisher": "Springer", "series": "LNCS", "research_areas": [], "keywords": [ "Virtual environments", "Finger-walking", "Navigation", "Traveling techniques", "Multi-touch device" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 270, "image_height": 135, "name": "Kim-2008_FWIP-.jpg", "type": "image/jpeg", "size": 11617, "path": "Publication:Kim-2008_FWIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Kim-2008_FWIP-paper.pdf", "type": "application/pdf", "size": 640018, "path": "Publication:Kim-2008_FWIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/", "__class": "Publication" }, { "id": "KOEPPEL-2025-Nearfield", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Nearfield Viewer", "date": "2025-09-11", "abstract": "In lighting design, simulations rely on far-field photometry, which represents a luminaire\nby a point source with 2D angular luminous-intensity distribution. Moreover, lighting tools\nfocus on luminaire’s illumination while neglecting their visual appearance. For luminaires\nwith optically complex fixtures, far-field data is inaccurate. Near-field scans capture the\nrequired detail, but have large memomry requirements and are slow to render using current\napproaches. We present a real-time viewer that displays the luminaire appearance directly\nfrom near-field measurements rather than running a global illumination simulation. For every\nscreen pixel, we find the best measurement point and sample the corresponding data. Through\nour viewer, we showcase that near-field data can be used interactively on consumer hardware\nby using our data packing and sampling approach. Our approach provides a practical baseline\nfor future work on neural compression and using higher resolution scans, aiming to further\nimprove visual quality in lighting design.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "KOEPPEL-2025-Nearfield-image.png", "type": "image/png", "size": 146541, "path": "Publication:KOEPPEL-2025-Nearfield", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5237 ], "date_end": "2025-09-11", "date_start": "2025-02-18", "matrikelnr": "12022493", "supervisor": [ 193, 659 ], "research_areas": [ "Rendering" ], "keywords": [ "near-field illumination", "luminaire design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "name": "KOEPPEL-2025-Nearfield-image.png", "type": "image/png", "size": 146541, "path": "Publication:KOEPPEL-2025-Nearfield", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KOEPPEL-2025-Nearfield-report.pdf", "type": "application/pdf", "size": 5630442, "path": "Publication:KOEPPEL-2025-Nearfield", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-report:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/", "__class": "Publication" }, { "id": "Konev-FCV2018", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast cutaway visualization of sub-terrain tubular networks", "date": "2018-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1205, 1380, 171, 1337, 877, 798 ], "doi": "https://doi.org/10.1016/j.cag.2018.07.004", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "open_access": "no", "pages": "25–35", "pages_from": "25", "pages_to": "35", "volume": "75", "research_areas": [ "IllVis", "Rendering" ], "keywords": [ "Cutaway visualization", "Procedural billboarding", "Subsurface networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1333, "image_height": 753, "name": "Konev-FCV2018-image.jpg", "type": "image/jpeg", "size": 114614, "path": "Publication:Konev-FCV2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/", "__class": "Publication" }, { "id": "konyha_2006_int", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis of Families of Function Graphs", "date": "2006-11", "abstract": "The analysis and exploration of multidimensional\r\nand multivariate data is still one of the most challenging areas\r\nin the \u0002 field of visualization. In this paper, we describe an\r\napproach to visual analysis of an especially challenging set\r\nof problems that exhibit a complex internal data structure.\r\nWe describe the interactive visual exploration and analysis of\r\ndata that includes several (usually large) families of function\r\ngraphs fi(x; t). We describe analysis procedures and practical\r\naspects of the interactive visual analysis speci\u0002c to this type of\r\ndata (with emphasis on the function graph characteristic of the\r\ndata). We adopted the well-proven approach of multiple, linked\r\nviews with advanced interactive brushing to assess the data.\r\nStandard views such as histograms, scatterplots, and parallel\r\ncoordinates are used to jointly visualize data.We support iterative\r\nvisual analysis by providing means to create complex, composite\r\nbrushes that span multiple views and that are constructed using\r\ndifferent combination schemes. We demonstrate that engineering\r\napplications represent a challenging but very applicable area for\r\nvisual analytics. As a case study, we describe the optimization of\r\na fuel injection systems in Diesel engines of passenger cars.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "konyha_2006_int-.jpg", "type": "image/jpeg", "size": 58372, "path": "Publication:konyha_2006_int", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 756, 235, 581, 579, 176 ], "issn": "1077-2626 ", "journal": "IEEE Transaction on Visualization and Computer Graphics", "number": "6", "pages_from": "1373", "pages_to": "1385", "volume": "12", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "konyha_2006_int-.jpg", "type": "image/jpeg", "size": 58372, "path": "Publication:konyha_2006_int", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "konyha_2006_int-pdf.pdf", "type": "application/pdf", "size": 1681026, "path": "Publication:konyha_2006_int", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/", "__class": "Publication" }, { "id": "Konyha_2007_SCV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis of a Timing Chain Drive Using Segmented Curve View and other Coordinated Views", "date": "2007-07", "abstract": "A timing chain drive transfers motion from the engine's\r\ncrankshaft to the camshaft that operates the valves. The\r\ndesign process of timing chain drives involves computer\r\nsimulation of many design variants in order to \u0002nd an optimum.\r\nMost of the simulation results can be represented\r\nas families of function graphs (data series). Previously,\r\nthe analysis of those results was based on static 2D diagrams\r\nand animated 3D visualizations. They were suitable\r\nfor the detailed analysis of a few simulation variants, but\r\nnot for the comparison of many cases. In this paper we\r\npropose a new approach to the analysis based on coordinated\r\nlinked views and advanced brushing features. Our\r\nproposed method supports the interactive analysis of many\r\ndesign variants. We introduce a novel view, called segmented\r\ncurve view, which can display distributions in families\r\nof function graphs. The segmented curve view combines\r\nindividual function graphs where for a \u0002xed value\r\nof the independent variable, a bar extends from minimum\r\nto maximum values across the family of function graphs.\r\nEach bar is divided into segments (bins) with a color that\r\nrepresents the number of function graphs with the value\r\nin that segment. In the case study, we demonstrate that\r\nthe new view combined with traditional views provides\r\na strong support for the interactive visual exploration and\r\nanalysis of a real world timing chain design problem.", "authors_et_al": false, "substitute": null, "main_image": { "description": "3D view of chain driwe and linked views used in analysis", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 316, "image_height": 445, "name": "Konyha_2007_SCV-image.jpg", "type": "image/jpeg", "size": 128182, "path": "Publication:Konyha_2007_SCV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 756, 235, 581, 710, 580, 176 ], "booktitle": "Proccedings of 5th International Conference on Coordinated & Multiple Views in Exploratory Visualization", "date_from": "2007-07", "date_to": "2007-07", "lecturer": [ 756 ], "location": "Zuerich", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Download paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Konyha_2007_SCV-Download paper.pdf", "type": "application/pdf", "size": 1715774, "path": "Publication:Konyha_2007_SCV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-Download paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-Download paper:thumb{{size}}.png" }, { "description": "3D view of chain driwe and linked views used in analysis", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 316, "image_height": 445, "name": "Konyha_2007_SCV-image.jpg", "type": "image/jpeg", "size": 128182, "path": "Publication:Konyha_2007_SCV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/", "__class": "Publication" }, { "id": "Konyha_2009_survey", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Analysis in Engineering: A Survey", "date": "2009-04", "abstract": "Interactive visual analysis has become a very popular research field.\r\nThere is a significant body of literature on making sense of massive\r\ndata sets, on visualization and interaction techniques as well\r\nas on analysis concepts. However, surveying how those results can\r\nbe applied to actual engineering problems, including both product\r\nand manufacturing design as well as evaluation of simulation and\r\nmeasurement data, has not been discussed sufficiently to date. In\r\nthis paper we provide a selection of demonstration cases that document\r\nthe potential benefits of using interactive visual analysis in\r\na wide range of engineering domains, including the investigation\r\nof flow and particle dynamics, automotive engine design tasks and\r\nchange management in the product design process. We attempt to\r\nidentify some of the proven technological details such as the linking\r\nof space-time and attribute views through an application-wide\r\ncoherent selection mechanism. This paper might be an interesting\r\nsurvey for readers with a relation to the engineering sector, both\r\nreflecting on available technological building blocks for interactive\r\nvisual data analysis as well as exemplifying the potential benefits\r\non behalf of the application side.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 586, "image_height": 476, "name": "Konyha_2009_survey-image.bmp", "type": "image/x-ms-bmp", "size": 837814, "path": "Publication:Konyha_2009_survey", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 756, 235, 176 ], "booktitle": "Posters at SCCG 2009", "date_from": "2009-04-23", "date_to": "2009-04-25", "issn": "ISSN 1335-5694", "location": "Budmerice, Slowakei", "pages_from": "31", "pages_to": "38", "publisher": "ACM", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 586, "image_height": 476, "name": "Konyha_2009_survey-image.bmp", "type": "image/x-ms-bmp", "size": 837814, "path": "Publication:Konyha_2009_survey", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Konyha_2009_survey-paper.pdf", "type": "application/pdf", "size": 1220611, "path": "Publication:Konyha_2009_survey", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/", "__class": "Publication" }, { "id": "kroesl-2017-LiteMaker", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "LiteMaker: Interactive Luminaire Development using Progressive Photon Tracing and Multi-Resolution Upsampling", "date": "2017-09", "abstract": "Industrial applications like luminaire development (the creation of a luminaire in terms of geometry and material) or lighting design (the efficient and aesthetic placement of luminaires in a virtual scene) rely heavily on high realism and physically correct simulations. Using typical approaches like CAD modeling and offline rendering, this requirement induces long processing times and therefore inflexible workflows. In this paper, we combine a GPU-based progressive photon-tracing algorithm to accurately simulate the light distribution of a luminaire with a novel multi-resolution image-filtering approach that produces visually meaningful intermediate results of the simulation process. By using this method in a 3D modeling environment, luminaire development is turned into an interactive process, allowing for real-time modifications and immediate feedback on the light distribution. Since the simulation results converge to a physically plausible solution that can be imported as a representation of a luminaire into a light-planning software, our work contributes to combining the two former decoupled workflows of luminaire development and lighting design, reducing the overall production time and cost for luminaire manufacturers. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1200, "name": "kroesl-2017-LiteMaker-image.jpg", "type": "image/jpeg", "size": 123349, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 659, 678, 193 ], "booktitle": "Vision, Modeling & Visualization", "date_from": "2017-09-25", "date_to": "2017-09-27", "doi": "10.2312/vmv.20171253", "editor": "Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao", "event": "VMV 2017", "isbn": "978-3-03868-049-9", "lecturer": [ 1030 ], "location": "Bonn, Germany", "pages_from": "1", "pages_to": "8", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Computing methodologies", "Ray tracing", "Image processing", "Mesh geometry models" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vmv20171253", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1200, "name": "kroesl-2017-LiteMaker-image.jpg", "type": "image/jpeg", "size": 123349, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png" }, { "description": "author's version", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2017-LiteMaker-paper.pdf", "type": "application/pdf", "size": 9344654, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2017-LiteMaker-video.mp4", "type": "video/mp4", "size": 51946468, "path": "Publication:kroesl-2017-LiteMaker", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/", "__class": "Publication" }, { "id": "kroesl-2018-DC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "[DC] Computational Design of Smart Lighting Systems for Visually Impaired People, using VR and AR Simulations", "date": "2018-10", "abstract": "This Doctoral Consortium paper presents my dissertation research in a multidisciplinary setting, spanning over the areas of architecture, specifically lighting design and building information modeling, to virtual reality (VR) and perception.\nSince vision impairments are hardly taken into account in architecture and lighting design today, this research aims to provide the necessary tools to quantify the effects of vision impairments, so design guidelines regarding these impairments can be developed.\nAnother research goal is the determination of the influence of different lighting conditions on the perception of people with vision impairments.\nThis would allow us to develop smart lighting systems that can aid visually impaired people by increasing their visual perception of their environment.\nThis paper also outlines the concept for a tool to automatically generate lighting solutions and compare and test them in VR, as design aid for architects and lighting designers.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 595, "name": "kroesl-2018-DC-image.png", "type": "image/png", "size": 316715, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030 ], "booktitle": "Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)", "event": "ISMAR 2018", "lecturer": [ 1030 ], "location": "Munich", "open_access": "no", "publisher": "IEEE", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "vision impairments", "lighting design", "virtual reality", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 642, "image_height": 595, "name": "kroesl-2018-DC-image.png", "type": "image/png", "size": 316715, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png" }, { "description": "author's version", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2018-DC-paper.pdf", "type": "application/pdf", "size": 3617601, "path": "Publication:kroesl-2018-DC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/", "__class": "Publication" }, { "id": "kroesl-2018-TVS", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "The Virtual Schoolyard: Attention Training in Virtual Reality for Children with Attentional Disorders", "date": "2018-08", "abstract": "This work presents a virtual reality simulation for training different attentional abilities in children and adolescents. In an interdisciplinary project between psychology and computer science, we developed four mini-games that are used during therapy sessions to battle different aspects of attentional disorders. First experiments show that the immersive game-like application is well received by children. Our tool is also currently part of a treatment program in an ongoing clinical study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "kroesl-2018-TVS-.png", "type": "image/png", "size": 2314610, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1599, 1600, 1601, 1602, 193, 1603 ], "cfp": { "name": "call_for_posters.pdf", "type": "application/pdf", "error": "0", "size": "630843", "orig_name": "call_for_posters.pdf", "ext": "pdf" }, "date_from": "2018-08-12", "date_to": "2018-08-16", "doi": "10.1145/3230744.3230817", "event": "ACM SIGGRAPH 2018", "isbn": "978-1-4503-5817-0", "location": "Vancouver, Canada", "pages_from": "Article 27", "publisher": "ACM", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "virtual reality", "attentional disorders", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "name": "kroesl-2018-TVS-.png", "type": "image/png", "size": 2314610, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png" }, { "description": null, "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2018-TVS-abstract.pdf", "type": "application/pdf", "size": 20280477, "path": "Publication:kroesl-2018-TVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 900, "preview_image_height": 1200, "name": "kroesl-2018-TVS-poster.pdf", "type": "application/pdf", "size": 5352291, "path": "Publication:kroesl-2018-TVS", "preview_name": "kroesl-2018-TVS-poster:preview.png", "preview_type": "image/png", "preview_size": 1288394, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 853, "preview_image_height": 481, "name": "kroesl-2018-TVS-video.mp4", "type": "video/mp4", "size": 161407034, "path": "Publication:kroesl-2018-TVS", "preview_name": "kroesl-2018-TVS-video:preview.png", "preview_type": "image/png", "preview_size": 105824, "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/", "__class": "Publication" }, { "id": "kroesl-2019-ICthroughVR", "type_id": "inproceedings", "tu_id": 283362, "repositum_id": null, "title": "ICthroughVR: Illuminating Cataracts through Virtual Reality", "date": "2019-03", "abstract": "Vision impairments, such as cataracts, affect how many people interact with their environment, yet are rarely considered by architects and lighting designers because of a lack of design tools. To address this, we present a method to simulate vision impairments caused by cataracts in virtual reality (VR), using eye tracking for gaze-dependent effects. We conducted a user study to investigate how lighting affects visual perception for users with cataracts. Unlike past approaches, we account for the user's vision and some constraints of VR headsets, allowing for calibration of our simulation to the same level of degraded vision for all participants.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 828, "image_height": 828, "name": "kroesl-2019-ICthroughVR-image.png", "type": "image/png", "size": 700309, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1633, 1636, 1635, 193, 1634 ], "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces", "cfp": { "name": "IEEE VR 2019 Call for Conference Papers.pdf", "type": "application/pdf", "error": "0", "size": "226992", "orig_name": "IEEE VR 2019 Call for Conference Papers.pdf", "ext": "pdf" }, "date_from": "2019-03-23", "date_to": "2019-03-27", "doi": "10.1109/VR.2019.8798239", "event": "IEEE VR 2019, the 26th IEEE Conference on Virtual Reality and 3D User Interfaces", "lecturer": [ 1030 ], "location": "Osaka, Japan", "pages_from": "655", "pages_to": "663", "publisher": "IEEE", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "vision impairments", "cataracts", "virtual reality", "user study" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 828, "image_height": 828, "name": "kroesl-2019-ICthroughVR-image.png", "type": "image/png", "size": 700309, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper_preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-ICthroughVR-paper_preprint.pdf", "type": "application/pdf", "size": 21654478, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-paper_preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl-2019-ICthroughVR-video.mp4", "type": "video/mp4", "size": 59381889, "path": "Publication:kroesl-2019-ICthroughVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/", "__class": "Publication" }, { "id": "Laramee-2004-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive 3D Flow Visualization Based on Textures and Geometric Primitives", "date": "2004", "abstract": "This thesis presents research in the area of flow visualization. The theoretical framework is based on the notion that flow visualization methodology can be classified into four main areas: direct, geometric, texture-based, and feature-based flow visualization. Our work focuses on the direct, geometric, and texture-based categories, with special emphasis on texture-based approaches.\r\n\r\nAfter presenting the state-of-the-art, we discuss a technique for resampling of CFD simulation data. The resampling tool addresses both the perceptual problems resulting from a brute force hedgehog visualization and flow field coverage problems. These challenges are handled by giving the user control of the resolution of the resampling grid in object space and giving the user precise control of where to place the vector glyphs.\r\n\r\nAfterward, we present a novel technique for visualization of unsteady flow on surfaces from computational fluid dynamics. The method generates dense representations of time-dependent vector fields with high spatio-temporal correlation. While the 3D vector fields are associated with arbitrary triangular surface meshes, the generation and advection of texture properties is confined to image space. Frame rates of up to 60 frames per second are realized by exploiting graphics card hardware. We apply this algorithm to unsteady flow on boundary surfaces of, large, complex meshes from computational fluid dynamics composed of more than 200,000 polygons, dynamic meshes with time-dependent geometry and topology, as well as medical data. We also apply texture-based flow visualization techniques to isosurfaces. The result is a combination of two well known scientific visualization techniques, namely iso-surfacing and texture-based flow visualization, into a useful hybrid approach.\r\n\r\nNext we describe our collection of geometric flow visualization techniques including oriented streamlines, streamlets, a streamrunner tool, streamcomets, and a real-time animated streamline technique. We place special emphasis on necessary measures required in order for geometric techniques to be applicable to real-world data sets.\r\n\r\nIn order to demonstrate the use of all techniques, we apply our direct, geometric, and texture-based flow visualization techniques to investigate swirl and tumble motion, two flow patterns found commonly in computational fluid dynamics (CFD). Our work presents a visual analysis of these motions across three spatial domains: 2D slices, 2.5D surfaces, and 3D. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "thesis-cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 587, "image_height": 605, "name": "Laramee-2004-thesis-thesis-cover.png", "type": "image/png", "size": 658381, "path": "Publication:Laramee-2004-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 221 ], "date_end": "2004-12", "date_start": "2001-07", "supervisor": [ 176 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Laramee-2004-thesis-pdf.pdf", "type": "application/pdf", "size": 43104438, "path": "Publication:Laramee-2004-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-pdf:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis-cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 587, "image_height": 605, "name": "Laramee-2004-thesis-thesis-cover.png", "type": "image/png", "size": 658381, "path": "Publication:Laramee-2004-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/", "__class": "Publication" }, { "id": "ludwig-2012-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Radial Diagrams for the Visual Analysis of Wind Energy Production Data", "date": "2018-10-10", "abstract": "Wind energy production is a fast growing sector in the field of renewable energy production. In the process of energy production, more and more data is produced and recorded every year. This data is usually worthless without further exploration, analysis, and presentation. This thesis presents a design study of the visual analysis of wind energy production data. The goal is to provide data analysts with tools to carry out common tasks in the field of wind energy production more efficiently. As the data commonly contains directional information of winds and gusts,\nanalysis techniques need to take the circular nature of such data into account.\nThis work proposes a set of techniques for the visualization and interaction with circular data in radial diagrams. The diagrams operate in the polar coordinate system and thus are well suited to solve the problems of maintaining the natural coherence and circular closure of circular data. \nThe thesis discusses important design decisions and gives practical guidance how to implement novel features into an existing software system. Implementation details on how to ensure large data scalability are presented. The work evaluates the results in a case study with real data carried out by an expert in the field of wind energy production. The results indicate an improved work flow of common tasks and a successful system integration. The reported deployment at a\nnational power grid operator further demonstrates the system’s user acceptance and importance. The thesis also reflects on the iterative design process and the within collected expert feedback.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1138 ], "date_end": "2018-10-10", "date_start": "2012", "matrikelnr": "0526080", "supervisor": [ 451, 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 279, "image_height": 260, "name": "ludwig-2012-MT-image.PNG", "type": "image/png", "size": 45174, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Master Thesis.pdf", "type": "application/pdf", "size": 16882134, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ludwig-2012-MT-Poster.pdf", "type": "application/pdf", "size": 711448, "path": "Publication:ludwig-2012-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/", "__class": "Publication" }, { "id": "luksch_2020", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/58258", "title": "Real-Time Approximation of Photometric Polygonal Lights", "date": "2020-05-01", "abstract": "We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1621, "image_height": 343, "name": "luksch_2020-image.jpg", "type": "image/jpeg", "size": 71419, "path": "Publication:luksch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659, 1377, 193 ], "cfp": { "name": "I3D 2020.pdf", "type": "application/pdf", "error": "0", "size": "128401", "orig_name": "I3D 2020.pdf", "ext": "pdf" }, "date_from": "2020-09-14", "date_to": "2020-09-18", "doi": "10.1145/3384537", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 659 ], "location": "online", "number": "1", "open_access": "yes", "pages_from": "4.1", "pages_to": "4.18", "volume": "3", "research_areas": [ "Rendering" ], "keywords": [ "area lights", "photometric lights", "real-time rendering" ], "weblinks": [ { "href": "https://doi.org/10.1145/3384537", "caption": null, "description": null, "main_file": 0 }, { "href": "http://download.vrvis.at/acquisition/HILITE/60421ab2-455e-42e4-8f22-ecdb009e9829/I3D2020_PhotometricAreaLights_Final.mp4", "caption": "Video", "description": "Video", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1621, "image_height": 343, "name": "luksch_2020-image.jpg", "type": "image/jpeg", "size": 71419, "path": "Publication:luksch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "luksch_2020-Paper.pdf", "type": "application/pdf", "size": 6754960, "path": "Publication:luksch_2020", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/", "__class": "Publication" }, { "id": "LUKSCH-2014-RTR", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Real-Time Rendering of Glossy Materials with Regular Sampling", "date": "2014-06", "abstract": "Rendering view-dependent, glossy surfaces to increase the realism in real-time applications is a computationally complex task, that can only be performed by applying some approximations—especially when immediate changes in the scene in terms of material settings and object placement are a necessity. The use of environment maps is a common approach to this problem, but implicates performance problems due to costly pre-filtering steps or expensive sampling. We, therefore, introduce a regular sampling scheme for environment maps that relies on an efficient MIP-map-based filtering step, and minimizes the number of necessary samples for creating a convincing real-time rendering of glossy BRDF materials.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659, 216, 804, 678, 193 ], "date_from": "2014-06-10", "date_to": "2014-06-13", "event": "Computer Graphics International 2014", "issn": "0178-2789", "journal": "The Visual Computer", "lecturer": [ 659 ], "location": "Sydney, Australia", "number": "6-8", "pages_from": "717", "pages_to": "727", "volume": "30", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering ", "BRDFs" ], "weblinks": [ { "href": "http://link.springer.com/article/10.1007/s00371-014-0958-x", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/LUKSCH-2014-RTR/", "__class": "Publication" }, { "id": "LUKSCH-2019-IGI", "type_id": "inproceedings", "tu_id": 283266, "repositum_id": null, "title": "Incrementally Baked Global Illumination", "date": "2019-05", "abstract": "Global Illumination is affected by the slightest change in a 3D scene,\nrequiring a complete reevaluation of the distributed light. In cases\nwhere real-time algorithms are not applicable due to high demands on the\nachievable accuracy, this recomputation from scratch results in\nartifacts like flickering or noise, disturbing the visual appearance and\nnegatively affecting interactive lighting design workflows. We propose a\nnovel system tackling this problem by providing incremental updates of a\nbaked global illumination solution after scene modifications, and a\nre-convergence after a few seconds. Using specifically targeted\nincremental data structures and prioritization strategies in a\nmany-light global illumination algorithm, we compute a differential\nupdate from one illumination state to another. We further demonstrate\nthe use of a novel error balancing strategy making it possible to\nprioritize the illumination updates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 601, "image_height": 240, "name": "LUKSCH-2019-IGI-teaser.png", "type": "image/png", "size": 152670, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659, 193, 678 ], "booktitle": "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games (I3D 2019)", "cfp": { "name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "type": "application/pdf", "error": "0", "size": "31008", "orig_name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "ext": "pdf" }, "date_from": "2019-05-21", "date_to": "2019-05-23", "doi": "10.1145/3306131.3317015", "editor": "Blenkhorn, Ari Rapkin", "event": "33rd Symposium on Interactive 3D Graphics and Games (I3D 2019)", "isbn": "978-1-4503-6310-5", "lecturer": [ 659 ], "location": "Montreal, Quebec, Canada", "pages_from": "4:1", "pages_to": "4:10", "publisher": "ACM", "series": "I3D ’19", "research_areas": [ "Rendering" ], "keywords": [ "Global Illumination", "Instant Radiosity", "Lightmaps" ], "weblinks": [], "files": [ { "description": null, "filetitle": "bonus video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "LUKSCH-2019-IGI-bonus video.mp4", "type": "video/mp4", "size": 50423564, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video:video.mp4" }, { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LUKSCH-2019-IGI-draft.pdf", "type": "application/pdf", "size": 42229929, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 601, "image_height": 240, "name": "LUKSCH-2019-IGI-teaser.png", "type": "image/png", "size": 152670, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LUKSCH-2019-IGI-video.mp4", "type": "video/mp4", "size": 108320845, "path": "Publication:LUKSCH-2019-IGI", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video:video.mp4" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/", "__class": "Publication" }, { "id": "Mantler-2011-GEAR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "GEARViewer: A State of the Art Real-Time Geospatial Visualization Framework", "date": "2011", "abstract": "Geospatial visualization is playing an increasingly important part in the planning and public discussion of\r\ninfrastructure projects. In addition to pre-rendered highly realistic imagery, interactive viewers have become\r\nan important tool for this task. Advances in rendering technology and performance have reduced the gap in\r\nvisual quality between pre-rendered imagery and real-time applications, and the additional possibilities of a\r\nlive visualization may become important tools in the decision making process.\r\nHistorically, the step from GIS data or a highly detailed architectural model to a representation that is\r\nsuitable for real-time display has been complex and required a very finely tuned workflow. On the other side,\r\nthe general public is relatively spoiled by the extremely high quality of computer games and CGI films.\r\nNaturally, a tremendous amount of work and time is typically spent to fully optimize computer games for the\r\navailable hardware. This is usually not possible for geospatial visualization tasks, but nonetheless current\r\ninteractive viewing applications must strive to achieve similar quality and performance to be successful.\r\nIn this paper, we present GEARViewer, a state of the art geospatial rendering framework developed at\r\nVRVis. Developed in close cooperation with major stakeholders in the Austrian road and railway\r\ninfrastructure, it bridges the gap between GIS applications and real-time rendering, and achieves a high\r\ndegree of realism and performance while supporting many of the tasks involved in geospatial visualizations.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 407, 205, 941, 190 ], "booktitle": "Proceedings of CORP 2011", "date_from": "2011-05-18", "date_to": "2011-05-20", "editor": "Manfred SCHRENK, Vasily V. POPOVICH, Peter ZEILE", "isbn": "978-3-9503110-1-3", "lecturer": [ 407 ], "pages_from": "345", "pages_to": "354", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Full paper in pdf", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Mantler-2011-GEAR-Full paper in pdf.pdf", "type": "application/pdf", "size": 857372, "path": "Publication:Mantler-2011-GEAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Mantler-2011-GEAR/Mantler-2011-GEAR-Full paper in pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Mantler-2011-GEAR/Mantler-2011-GEAR-Full paper in pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Mantler-2011-GEAR/", "__class": "Publication" }, { "id": "matkovic_2009_flickr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Large Image Collections - Comprehension and Familiarization by Interactive Visual Analysis", "date": "2009-05", "abstract": "Large size and complex multi-dimensional characteristics of\r\nimage collections demand a multifaceted approach to exploration and\r\nanalysis providing better comprehension and appreciation. We explore\r\nlarge and complex data-sets composed of images and parameters describ-\r\ning the images. We describe a novel approach providing new and exciting\r\nopportunities for the exploration and understanding of such data-sets.\r\nWe utilize coordinated, multiple views for interactive visual analysis of\r\nall parameters. Besides iterative refinement and drill-down in the image\r\nparameters space, exploring such data-sets requires a different approach\r\nsince visual content cannot be completely parameterized. We simulta-\r\nneously brush the visual content and the image parameter values. The\r\nuser provides a visual hint (using an image) for brushing in addition to\r\nproviding a complete image parameters specification. We illustrate our\r\napproach on a data-set of more than 26,000 images from Flickr. The\r\ndeveloped approach can be used in many application areas, including\r\nsociology, marketing, or everyday use.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1602, "image_height": 1429, "name": "matkovic_2009_flickr-image.bmp", "type": "image/x-ms-bmp", "size": 6870686, "path": "Publication:matkovic_2009_flickr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/matkovic_2009_flickr-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/matkovic_2009_flickr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 581, 758, 785, 176 ], "booktitle": "Smart Graphics", "lecturer": [ 235 ], "location": "Salamanca, Spain", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1602, "image_height": 1429, "name": "matkovic_2009_flickr-image.bmp", "type": "image/x-ms-bmp", "size": 6870686, "path": "Publication:matkovic_2009_flickr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/matkovic_2009_flickr-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/matkovic_2009_flickr-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "matkovic_2009_flickr-paper.pdf", "type": "application/pdf", "size": 1378204, "path": "Publication:matkovic_2009_flickr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/matkovic_2009_flickr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/matkovic_2009_flickr-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/matkovic_2009_flickr/", "__class": "Publication" }, { "id": "matkovic-2007-clv", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Color Lines View: An Approach to Visualization of Families of Function Graphs", "date": "2007-07", "abstract": "Data sets often include information that can be represented\r\nas a mapping that describes how a dependent variable\r\ndepends on an independent variable. Such a mapping,\r\nusually represented as a function graph, can be parameterized\r\nto provide a family of function graphs. The\r\nchallenge is how to efficiently aggregate individual function\r\ngraph views to represent the whole family and allow\r\nvisual analysis and search for patterns. We propose a novel\r\nview, called the color lines view, which provides a two dimensional,\r\nrectangular view where each line represents a\r\nsingle function graph. The points on the line correspond to\r\nvalues of the independent variable. The point colors represent\r\nthe value of the dependent variable. The lines, placed\r\nnext to each other in parallel, show a family of function\r\ngraphs. The color lines view offers sorting and brushing\r\nfeatures which support visual analysis procedures that are\r\ndifficult to perform with previously existing views.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 7833, "image_height": 4937, "name": "matkovic-2007-clv-.jpg", "type": "image/jpeg", "size": 1573063, "path": "Publication:matkovic-2007-clv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 581, 756, 176 ], "booktitle": "Proceedings of 11th International Conference Information Visualization", "date_from": "2007-07-02", "date_to": "2007-07-06", "lecturer": [ 756 ], "location": "Zürich, Schweiz", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 7833, "image_height": 4937, "name": "matkovic-2007-clv-.jpg", "type": "image/jpeg", "size": 1573063, "path": "Publication:matkovic-2007-clv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "matkovic-2007-clv-paper.pdf", "type": "application/pdf", "size": 4944878, "path": "Publication:matkovic-2007-clv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/", "__class": "Publication" }, { "id": "Matkovic-2008-Bergen", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Steering – Our Experiences", "date": "2008", "abstract": "Interactive steering with visualization has\r\nbeen a central goal of the international visualization\r\nresearch community for twenty\r\nyears. Still, we rarely ever see it applied to\r\nreal-world problems. Here we describe our\r\nrecent experiences with a realization of a\r\ntightly coupled steering loop, integrating\r\nsimulation and interactive visual analysis in a\r\nprototyping environment for automotive\r\nindustry system design. Very positive feedback\r\nfrom domain experts proves the usefulness\r\nof the approach.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235 ], "date_from": "2008-05-05", "event": "Visualization Seminar", "location": "Bergen, Norway", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Bergen/", "__class": "Publication" }, { "id": "Matkovic-2008-ComVis", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "ComVis: a Coordinated Multiple Views System for Prototyping New Visualization Technology", "date": "2008-07", "abstract": "There is a large number of interactive visualization\r\ntools, however no universal tool exists that covers all relevant\r\naspects for all possible application domains. We have\r\ndeveloped a tool, ComVIs, which was intended to be used\r\nas a research prototype for new visualization techniques.\r\nWe have identified some interesting aspects from developers\r\nand users point of view during tool development. In this\r\npaper we describe lessons learned during the process, and\r\nshare our findings with visualization research community.\r\nExamples at the end prove the usefulness of the developed\r\ntool. One particular example, the concept of families of\r\nfunction graphs and application to analysis of fuel injection\r\nconcludes the paper.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1556, "image_height": 909, "name": "Matkovic-2008-ComVis-image.jpg", "type": "image/jpeg", "size": 196957, "path": "Publication:Matkovic-2008-ComVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 758, 581, 176 ], "booktitle": "Proceedings of the 12th International Conference Information Visualisation", "lecturer": [ 235 ], "location": "London, UK", "research_areas": [], "keywords": [ "visualization tool", "visual analysis", "information visualization", "system design" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1556, "image_height": 909, "name": "Matkovic-2008-ComVis-image.jpg", "type": "image/jpeg", "size": 196957, "path": "Publication:Matkovic-2008-ComVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Matkovic-2008-ComVis-paper.pdf", "type": "application/pdf", "size": 963091, "path": "Publication:Matkovic-2008-ComVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/", "__class": "Publication" }, { "id": "Matkovic-2008-med", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": " Interactive visual Analysis-Potential Aplications in Medicine", "date": "2008", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235 ], "date_from": "2008-02-22", "date_to": "2008-02-23", "event": "1st International Congress of Hemodynamic Monitoring", "location": "Zagreb Croatia", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-med/", "__class": "Publication" }, { "id": "Matkovic-2008-Steer", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Steering – Rapid Visual Prototyping of a Common Rail Injection System", "date": "2008-11", "abstract": "Interactive steering with visualization has been a common goal of the visualization research community for twenty years,\r\nbut it is rarely ever realized in practice. In this paper we describe a successful realization of a tightly coupled steering loop, integrating\r\nnew simulation technology and interactive visual analysis in a prototyping environment for automotive industry system design. Due\r\nto increasing pressure on car manufacturers to meet new emission regulations, to improve efficiency, and to reduce noise, both simulation\r\nand visualization are pushed to their limits. Automotive system components, such as the powertrain system or the injection\r\nsystem, have an increasing number of parameters, and new design approaches are required. It is no longer possible to optimize\r\nsuch a system solely based on experience or forward optimization. By coupling interactive visualization with the simulation back-end\r\n(computational steering), it is now possible to quickly prototype a new system, starting from a non-optimized initial prototype and the\r\ncorresponding simulation model. The prototyping continues through the refinement of the simulation model, of the simulation parameters\r\nand through trial-and-error attempts to an optimized solution. The ability to early see the first results from a multidimensional\r\nsimulation space — thousands of simulations are run for a multidimensional variety of input parameters — and to quickly go back\r\ninto the simulation and request more runs in particular parameter regions of interest significantly improves the prototyping process\r\nand provides a deeper understanding of the system behavior. The excellent results which we achieved for the common rail injection\r\nsystem strongly suggest that our approach has a great potential of being generalized to other, similar scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 434, "image_height": 473, "name": "Matkovic-2008-Steer-image.jpg", "type": "image/jpeg", "size": 64694, "path": "Publication:Matkovic-2008-Steer", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 581, 579, 176 ], "date_from": "2008-10-19", "date_to": "2008-10-24", "event": "IEEE Vis", "journal": "IEEE Transactions on Visualization and Computer Graphics ", "lecturer": [ 235 ], "location": "Columbus, Ohio", "number": "6", "volume": "14", "research_areas": [], "keywords": [ "Interactive computational steering", "interactive visual analysis", "simulation", "common rail injection system" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 434, "image_height": 473, "name": "Matkovic-2008-Steer-image.jpg", "type": "image/jpeg", "size": 64694, "path": "Publication:Matkovic-2008-Steer", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Matkovic-2008-Steer-paper.pdf", "type": "application/pdf", "size": 4069558, "path": "Publication:Matkovic-2008-Steer", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/", "__class": "Publication" }, { "id": "matkovic-2010-eventlineview", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Event Line View: Interactive Visual Analysis of Irregular Time-dependent Data", "date": "2010-06", "abstract": "In this paper we present a novel approach to visualize ir-\r\nregularly occurring events. We introduce the event line view designed\r\nspeci¯cally for such events data (a subset of time dependent data). The\r\nevent line view is integrated in a coordinated multiple views (CMV)\r\nsystem and linked with other conventional views to support interactive\r\nvisual analysis. The main idea is to analyze events relative to two cat-\r\negorical attributes from a multidimensional multivariate dataset. Since\r\nwe are interested in the categorical dimension we have also integrated\r\nand linked the tag cloud view in the CMV system. To the best of our\r\nknowledge this is the ¯rst integration of the tag cloud view in a CMV\r\nsystem. The tag cloud view can depict a ratio of the selected items versus\r\nthe non-selected items.\r\nThe proposed approach is illustrated using the VAST Challenge 2008\r\nGeo-Spatial data set that contains data on interdiction or landing of ille-\r\ngal immigrants in the USA. It is a multivariate multidimensional dataset\r\nwith irregular events that illustrates the potential and capabilities of the\r\nproposed approach and the developed CMV system.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 748, 581, 190, 885 ], "booktitle": "Smart Graphics 2010", "date_from": "2010-06-24", "date_to": "2010-06-26", "lecturer": [ 235 ], "location": "Banff, Canada", "publisher": "Springer", "research_areas": [], "keywords": [ "Interactive Visual Analysis", "Coordinated Multiple Views", "Tag Cloud", "Events in Time" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "matkovic-2010-eventlineview-Paper.pdf", "type": "application/pdf", "size": 873565, "path": "Publication:matkovic-2010-eventlineview", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/matkovic-2010-eventlineview-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/matkovic-2010-eventlineview-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/", "__class": "Publication" }, { "id": "Matkovic-2014-ieee", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Complex Engineering Systems: Hybrid Visual Steering of Simulation Ensembles", "date": "2014-12", "abstract": "In this paper we propose a novel approach to hybrid visual steering of simulation ensembles. A simulation ensemble is a collection of simulation runs of the same simulation model using different sets of control parameters. Complex engineering systems have very large parameter spaces so a nai?ve sampling can result in prohibitively large simulation ensembles. Interactive steering of simulation ensembles provides the means to select relevant points in a multi-dimensional parameter space (design of experiment). Interactive steering efficiently reduces the number of simulation runs needed by coupling simulation and visualization and allowing a user to request new simulations on the fly. As system complexity grows, a pure interactive solution is not always sufficient. The new approach of hybrid steering combines interactive visual steering with automatic optimization. Hybrid steering allows a domain expert to interactively (in a visualization) select data points in an iterative manner, approximate the values in a continuous region of the simulation space (by regression) and automatically find the “best” points in this continuous region based on the specified constraints and objectives (by optimization). We argue that with the full spectrum of optimization options, the steering process can be improved substantially. We describe an integrated system consisting of a simulation, a visualization, and an optimization component. We also describe typical tasks and propose an interactive analysis workflow for complex engineering systems. We demonstrate our approach on a case study from automotive industry, the optimization of a hydraulic circuit in a high pressure common rail Diesel injection system.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 235, 581, 1204, 579, 959, 176, 190 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VAST 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 235 ], "location": "Paris, France", "number": "12", "pages_from": "1803", "pages_to": "1812", "volume": "20", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346744", "caption": null, "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Matkovic-2014-ieee/", "__class": "Publication" }, { "id": "May_Michael_2015_DIS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Design and Implementation of a Shader Infrastructure and Abstraction Layer", "date": "2015-09", "abstract": "Programming the GPU is more important than ever, but the organization and development of shader code for the GPU is a difficult task. Can this process be embedded into the high level language C#, gain from the features of its toolchain and enrich shader development?\n\nFor this purpose this thesis describes the design and implementation of a framework to abstract and embed shader development into C# with an internal domain-specific language (iDSL\nfor short) as front-end and a plug-in system in the back-end to support expandable optimizations and different shader languages as targets.\n\nThe implemented framework fits shader development into the C# toolchain, supporting autocompletion, and type error checking in the editor. The system offers good modularity and\nencourages developing shaders in reusable parts.\n\nThis diploma thesis was developed in cooperation with VRVis Research Center in Vienna, Austria.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "May_Michael_2015_DIS-Image.jpg", "type": "image/jpeg", "size": 159969, "path": "Publication:May_Michael_2015_DIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1038 ], "supervisor": [ 193, 216 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "May_Michael_2015_DIS-Image.jpg", "type": "image/jpeg", "size": 159969, "path": "Publication:May_Michael_2015_DIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "May_Michael_2015_DIS-Thesis.pdf", "type": "application/pdf", "size": 4847958, "path": "Publication:May_Michael_2015_DIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/", "__class": "Publication" }, { "id": "MEINDL-2015-OSR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Omnidirectional Stereo Rendering of Virtual Environments", "date": "2015-11-12", "abstract": "In this thesis we discuss the use of omnidirectional stereo (omnistereo) rendering of virtual\nenvironments. We present an artefact-free technique to render omnistereo images for\nthe CAVE in real time using the modern rendering pipeline and GPU-based tessellation.\nDepth perception in stereoscopic images is enabled through the horizontal disparities\nseen by the left and right eye. Conventional stereoscopic rendering, using off-axis\nor toe-in projections, provides correct depth cues in the entire field of view (FOV) for\na single view-direction. Omnistereo panorama images, created from captures of the real\nworld, provide stereo depth cues in all view direction. This concept has been adopted for\nrendering, as several techniques generating omnistereo images based on virtual environments\nhave been presented. This is especially relevant in the context of surround-screen\ndisplays, as stereo depth can be provided for all view directions in a 360° panorama\nsimultaneously for upright positioned viewers. Omnistereo rendering also lifts the need\nfor view-direction tracking, since the projection is independent of the view direction,\nunlike stereoscopic projections. However, omnistereo images only provide correct depth\ncues in the center of the FOV. Stereo disparity distortion errors occur in the periphery\nof the view and worsen with distance from the center of the view. Nevertheless, due\nto a number of properties of the human visual system, these errors are not necessarily\nnoticeable.\nWe improved the existing object-warp based omnistereo rendering technique for\nCAVE display systems by preceding it with screen-space adaptive tessellation methods.\nOur improved technique creates images without perceivable artefacts and runs on\nthe GPU at real-time frame rates. The artefacts produced by the original technique\nwithout tessellation are described by us. Tessellation is used to remedy edge curvature\nand texture interpolation artefacts occurring at large polygons, due to the non-linearity\nof the omnistereo perspective. The original approach is based on off-axis projections.\nWe showed that on-axis projections can be used as basis as well, leading to identical\nimages. In addition, we created a technique to efficiently render omnistereo skyboxes\nfor the CAVE using a pre-tessellated full-screen mesh. We implemented the techniques\nas part of an application for a three-walled CAVE in the VRVis research center and\ncompared them.", "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": 351, "name": "MEINDL-2015-OSR-image.jpg", "type": "image/jpeg", "size": 33180, "path": "Publication:MEINDL-2015-OSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1564 ], "date_end": "2015-11-12", "date_start": "2014-02-28", "diploma_examina": "2015-11-12", "matrikelnr": "1028160", "supervisor": [ 193, 204 ], "research_areas": [ "Rendering" ], "keywords": [ "virtual reality", "stereo rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 556, "image_height": 351, "name": "MEINDL-2015-OSR-image.jpg", "type": "image/jpeg", "size": 33180, "path": "Publication:MEINDL-2015-OSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MEINDL-2015-OSR-thesis.pdf", "type": "application/pdf", "size": 2386209, "path": "Publication:MEINDL-2015-OSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/", "__class": "Publication" }, { "id": "Miklin-2009-Mig", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "Migrant Boat Mini Challenge Award: Simple and Effective Integrated Display Geo-Temporal Analysis of Migrant Boats", "date": "2008", "abstract": "We provide a description of the tools and techniques used in our\r\nanalysis of the VAST 2008 Challenge dealing with mass movement\r\nof persons departing Isla Del Sue˜no on boats for the United\r\nStates during 2005–2007. We used visual analytics to explore migration\r\npatterns, characterize the choice and evolution of landing\r\nsites, characterize the geographical patterns of interdictions and\r\ndetermine the successful landing rate. Our ComVis tool, in connection\r\nwith some helper applications and Google Earth, allowed us to explore geo-temporal characteristics of the data set and answer the challenge questions. The ComVis project file captures the visual analysis context and facilitates better collaboration among team members.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 625, "name": "Miklin-2009-Mig-image.jpg", "type": "image/jpeg", "size": 53188, "path": "Publication:Miklin-2009-Mig", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 754, 755, 756, 757, 758, 235, 581 ], "booktitle": "Proceedings of IEEE VAST 2008 Symposium", "date_from": "2008-10-19", "date_to": "2008-10-24", "location": "Columbus, Ohio", "research_areas": [], "keywords": [ "geo-temporal data", "visual analytics" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 625, "name": "Miklin-2009-Mig-image.jpg", "type": "image/jpeg", "size": 53188, "path": "Publication:Miklin-2009-Mig", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Miklin-2009-Mig-paper.pdf", "type": "application/pdf", "size": 630785, "path": "Publication:Miklin-2009-Mig", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/", "__class": "Publication" }, { "id": "Muehlbacher_diss_2018", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Human-Oriented Statistical Modeling: Making Algorithms Accessible through Interactive Visualization", "date": "2018-08-30", "abstract": "Statistical modeling is a key technology for generating business value from data. While the number of available algorithms and the need for them is growing, the number of people with the skills to effectively use such methods lags behind. Many application domain experts find it hard to use and trust algorithms that come as black boxes with insufficient interfaces to adapt. The field of Visual Analytics aims to solve this problem by a human-oriented approach that puts users in control of algorithms through interactive\nvisual interfaces. However, designing accessible solutions for a broad set of users while re-using existing, proven algorithms poses significant challenges for the design of analytical infrastructures, visualizations, and interactions.\nThis thesis provides multiple contributions towards a more human-oriented modeling\nprocess: As a theoretical basis, it investigates how user involvement during the execution of algorithms can be realized from a technical perspective. Based on a characterization of needs regarding intermediate feedback and control, a set of formal strategies to realize user involvement in algorithms with different characteristics is presented. Guidelines\nfor the design of algorithmic APIs are identified, and requirements for the re-use of algorithms are discussed. From a survey of frequently used algorithms within R, the\nthesis concludes that a range of pragmatic options for enabling user involvement in new and existing algorithms exist and should be used. After these conceptual considerations, the thesis presents two methodological contributions that demonstrate how even inexperienced modelers can be effectively involved in the\nmodeling process. First, a new technique called TreePOD guides the selection of decision trees along trade-offs between accuracy and other objectives, such as interpretability.\nUsers can interactively explore a diverse set of candidate models generated by sampling the parameters of tree construction algorithms. Visualizations provide an overview of possible tree characteristics and guide model selection, while details on the underlying machine learning process are only exposed on demand. Real-world evaluation with\ndomain experts in the energy sector suggests that TreePOD enables users with and without statistical background a confident identification of suitable decision trees. As the second methodological contribution, the thesis presents a framework for interactive\nbuilding and validation of regression models. The framework addresses limitations of automated regression algorithms regarding the incorporation of domain knowledge, identifying local dependencies, and building trust in the models. Candidate variables for model refinement are ranked, and their relationship with the target variable is visualized to support an interactive workflow of building regression models. A real-world case study and feedback from domain experts in the energy sector indicate a significant effort\nreduction and increased transparency of the modeling process.\nAll methodological contributions of this work were implemented as part of a commercially distributed Visual Analytics software called Visplore. As the last contribution, this thesis reflects upon years of experience in deploying Visplore for modeling-related tasks in the energy sector. Dissemination and adoption are important aspects of making statistical\nmodels more accessible for domain experts, making this work relevant for practitioners\nand application-oriented researchers alike.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 306, "image_height": 284, "name": "Muehlbacher_diss_2018-image.PNG", "type": "image/png", "size": 34227, "path": "Publication:Muehlbacher_diss_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 804 ], "co_supervisor": [ 451 ], "date_end": "2018-08", "date_start": "2012-06", "matrikelnr": "0625075", "reviewer_1": [ 176 ], "reviewer_2": [ 1144 ], "rigorosum": "2018-11-09", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 306, "image_height": 284, "name": "Muehlbacher_diss_2018-image.PNG", "type": "image/png", "size": 34227, "path": "Publication:Muehlbacher_diss_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/", "__class": "Publication" }, { "id": "musialski-2009-sbfr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Symmetry-Based Facade Repair", "date": "2009-11", "abstract": "In this paper we address the problem of removing unwanted image content in a single orthographic facade image. We exploit the regular structure present in building facades and introduce propagation process that is guided by the symmetry prevalent in the image. It removes larger unwanted image objects such as traffic lights, street signs, or cables as well as smaller noise, such as reflections in the windows. The output is intended as source for textures in urban reconstruction projects.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 221, "image_height": 89, "name": "musialski-2009-sbfr-image.jpg", "type": "image/jpeg", "size": 20422, "path": "Publication:musialski-2009-sbfr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 194, 846, 228, 190 ], "booktitle": "Vision, Modeling, and Visualization Workshop 2009", "date_from": "2009-11-16", "date_to": "2009-11-18", "editor": "Marcus Magnor, Bodo Rosenhahn, Holger Theisel ", "isbn": "978-3980487481", "lecturer": [ 844 ], "location": "Braunschweig", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 221, "image_height": 89, "name": "musialski-2009-sbfr-image.jpg", "type": "image/jpeg", "size": 20422, "path": "Publication:musialski-2009-sbfr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2009-sbfr-paper.pdf", "type": "application/pdf", "size": 6476585, "path": "Publication:musialski-2009-sbfr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/", "__class": "Publication" }, { "id": "musialski-2010-imv", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Multi-View Façade Image Editing", "date": "2010-11", "abstract": "We propose a system for generating high-quality approximated façade ortho-textures based on a set of perspective source photographs taken by a consumer hand-held camera. Our approach is to sample a combined orthographic approximation over the façade-plane from the input photos. In order to avoid kinks and seams which may occur on transitions between different source images, we introduce color adjustment and gradient domain stitching by solving a Poisson equation in real-time. In order to add maximum control on the one hand and easy interaction on the other, we provide several editing interactions allowing for user-guided post-processing.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 353, "image_height": 167, "name": "musialski-2010-imv-image.jpg", "type": "image/jpeg", "size": 30433, "path": "Publication:musialski-2010-imv", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 659, 678, 878, 228, 190 ], "booktitle": "Vision, Modeling and Visualization Workshop 2010", "date_from": "2010-11-15", "date_to": "2010-11-17", "lecturer": [ 659 ], "location": "Siegen, Germany", "research_areas": [], "keywords": [ "urban reconstruction", "facade image processing" ], "weblinks": [], "files": [ { "description": "the final draft of the paper", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2010-imv-draft.pdf", "type": "application/pdf", "size": 12118929, "path": "Publication:musialski-2010-imv", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-draft:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 353, "image_height": 167, "name": "musialski-2010-imv-image.jpg", "type": "image/jpeg", "size": 30433, "path": "Publication:musialski-2010-imv", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/", "__class": "Publication" }, { "id": "musialski-2010-pfi", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Processing of Façade Imagery", "date": "2010-10", "abstract": "Modeling and reconstruction of urban environments is currently the subject of intensive research. There is a wide range of possible applications, including virtual environments like cyber-tourism, computer games, and the entertainment industries in general, as well as urban planning and architecture, security planning and training, traffic simulation, driving guidance and telecommunications, to name but a few.\nThe research directions are spread across the disciplines of computer vision, computer graphics, image processing, photogrammetry and remote sensing, as well as architecture and the geosciences. Reconstruction is a complex problem and requires an entire pipeline of different tasks.\n\nIn this thesis we focus on processing of images of façades which is one specific subarea of urban reconstruction. The goal of our research is to provide novel algorithmic solutions for\nproblems in façade imagery processing. In particular, the contribution of this thesis is the following:\n\nFirst, we introduce a system for generation of approximate orthogonal façade images. The method is a combination of automatic and interactive tools in order to provide a convenient way to generate high-quality results.\n\nThe second problem addressed in this thesis is façade image segmentation. In particular, usually by segmentation we mean the subdivision of the façade into windows and other architectural elements. We address this topic with two different algorithms for detection of grids over the façade image.\n\nFinally, we introduce one more façade processing algorithm, this time with the goal to improve the quality of the façade appearance. The algorithm propagates visual information across the image in order to remove potential obstacles and occluding objects.\n\nThe output is intended as source for textures in urban reconstruction projects. The construction of large three-dimensional urban environments itself is beyond the scope of this thesis. However, we propose a suite of tools together with mathematical foundations that contribute to the state-of-the-art and provide helpful building blocks important for large scale urban reconstruction projects.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Processing of Façade Imagery", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1124, "image_height": 768, "name": "musialski-2010-pfi-image.png", "type": "image/png", "size": 659441, "path": "Publication:musialski-2010-pfi", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_end": "2010-10", "date_start": "2007-10", "reviewer_1": [ 190 ], "reviewer_2": [ 194 ], "rigorosum": "2010-11-16", "supervisor": [ 190 ], "research_areas": [ "Modeling" ], "keywords": [ "facade processing", "urban reconstruction", "image processing" ], "weblinks": [], "files": [ { "description": "Processing of Façade Imagery", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1124, "image_height": 768, "name": "musialski-2010-pfi-image.png", "type": "image/png", "size": 659441, "path": "Publication:musialski-2010-pfi", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image:thumb{{size}}.png" }, { "description": "Processing of Façade Imagery", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2010-pfi-thesis.pdf", "type": "application/pdf", "size": 16897160, "path": "Publication:musialski-2010-pfi", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/", "__class": "Publication" }, { "id": "musialski-2010-tof", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Tiling of Ortho-Rectified Façade Images", "date": "2010-05", "abstract": "Typical building facades consist of regular structures such as windows arranged in a predominantly grid-like manner. We propose a method that handles precisely such facades and assumes that there must be horizontal and vertical repetitions of similar patterns. Using a Monte Carlo sampling approach, this method is able to segment repetitive patterns on orthogonal images along the axes even\nif the pattern is partially occluded. Additionally, it is very fast and\ncan be used as a preprocessing step for finer segmentation stages.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 755, "image_height": 593, "name": "musialski-2010-tof-image.jpg", "type": "image/jpeg", "size": 86158, "path": "Publication:musialski-2010-tof", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 846, 228, 194, 190 ], "booktitle": "Proceedings of 26th Spring Conference on Computer Graphics (SCCG 2010)", "date_from": "2010-05-13", "date_to": "2010-05-15", "editor": "Helwig Hauser , Reinhard Klein", "isbn": "978-80-223-2644-5", "lecturer": [ 844 ], "location": "Budmerice, Slovak Republic", "publisher": "Comenius University, Bratislava", "research_areas": [ "Modeling" ], "keywords": [ "image processing", "facade segmentation", "urban reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2010-tof-draft.pdf", "type": "application/pdf", "size": 3173051, "path": "Publication:musialski-2010-tof", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 755, "image_height": 593, "name": "musialski-2010-tof-image.jpg", "type": "image/jpeg", "size": 86158, "path": "Publication:musialski-2010-tof", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/", "__class": "Publication" }, { "id": "north-2025-aog", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/221703", "title": "Analysis of the GPU Acceleration Potential of the FFT-Based Pressure Solver in the PALM-4U Model System", "date": "2025-11", "abstract": "Due to climate change, the frequency and severity of extreme weather events is increasing, which endangers human livelihoods and key infrastructures. Decision support tools can guide the development of climate-resilient cities by providing information on the potential effectiveness of specific measures during the planning process. In urban environments,decision support tools that incorporate accurate micro-climate models are particularly effective. PALM-4U, a state-of-the-art, scientifically validated microclimate model, could offer this functionality, however it remains largely inaccessible outside the scientific community as it is optimised to run on HPC clusters. However, with the rise of high-performance GPUs, a shift towards single workstations is possible.This study investigates the potential for performance increase of the PALM-4U’s pressuresolver, by utilising the GPU’s acceleration potential in combination with a change intarget architecture. Performance increase is measured using three parameters: speed up,validity (via NMSE, R, and FB), and memory efficiency. Also the effect on the runtime of the full simulation is measured and possible bottlenecks identified. Finally, the fullmodel is analysed to assess the overall feasibility of GPU optimisation, providing insights to guide future development.The pressure solver transforms the 3D Poisson equation using Fast Fourier Transform and solves the resulting 1D system via the Thomas algorithm. The code structure is optimised, CUDA-optimised kernels are implemented and the cuFFT library is integrated.In addition a mixed-precision approach is tested to evaluate its impact on performance and accuracy.The single core GPU implementation achieves a speed up of up to 65.5 times in single precision and up to 49.3 times for double precision for large domain sizes. The stability of the system remains unaffected by the mixed-precision approach, and no significant variation is observed between FP32 and FP64 runs. After 45 × 103 simulation steps, NMSE (0.02), FB (-0.017) and R (0.96), demonstrate a stable and accurate performance consistent across precisions. Additionally, the memory requirement is reduced up to 68% compared to the baseline CPU solver. The optimisations leads to a runtime reduction ofthe full model by 15%, demonstrating the potential for accessible, scientifically validated microclimate models.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 5514 ], "ac_number": "AC17718798", "date_end": "2025-11", "date_start": "2025-04", "diploma_examina": "2025-11-24", "doi": "10.34726/hss.2025.133062", "matrikelnr": "51803598", "open_access": "yes", "pages": "86", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "GPU Acceleration", "Computational Fluid Dynamics", "CUDA", "Urban Microclimate Modeling", "Poisson Equation Solver", "Fast Fourier Transform", "Mixed-Precision Methods", "Climate-Resilient Urban Planning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "north-2025-aog-thesis.pdf", "type": "application/pdf", "size": 2124368, "path": "Publication:north-2025-aog", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/north-2025-aog-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/north-2025-aog-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/", "__class": "Publication" }, { "id": "ortner-2016-tunnel", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual analytics and rendering for tunnel crack analysis", "date": "2016-05-11", "abstract": "The visual analysis of surface cracks plays an essential role in tunnel maintenance when assessing the condition of a tunnel. To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 750, "image_height": 340, "name": "ortner-2016-tunnel-teaser.gif", "type": "image/gif", "size": 97212, "path": "Publication:ortner-2016-tunnel", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1072, 451, 205, 166 ], "event": "Computer Graphics International (CGI)", "journal": "The Visual Computer", "number": "6", "pages_from": "859", "pages_to": "869", "volume": "32", "research_areas": [ "InfoVis" ], "keywords": [ "Integration of spatial and non-spatial data", "Methodology", "Visual analytics" ], "weblinks": [ { "href": "http://link.springer.com/article/10.1007/s00371-016-1257-5", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 750, "image_height": 340, "name": "ortner-2016-tunnel-teaser.gif", "type": "image/gif", "size": 97212, "path": "Publication:ortner-2016-tunnel", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/", "__class": "Publication" }, { "id": "ortner-2016-visaware", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Vis-a-ware: Integrating spatial and non-spatial visualization for visibility-aware urban planning", "date": "2016-01-22", "abstract": "3D visibility analysis plays a key role in urban planning for assessing the visual impact of proposed buildings on the cityscape. A call for proposals typically yields around 30 candidate buildings that need to be evaluated with respect to selected viewpoints. Current visibility analysis methods are very time-consuming and limited to a small number of viewpoints. Further, analysts neither have measures to evaluate candidates quantitatively, nor to compare them efficiently. The primary contribution of this work is the design study of Vis-A-Ware, a visualization system to qualitatively and quantitatively evaluate, rank, and compare visibility data of candidate buildings with respect to a large number of viewpoints. Vis-A-Ware features a 3D spatial view of an urban scene and non-spatial views of data derived from visibility evaluations, which are tightly integrated by linked interaction. To enable a quantitative evaluation we developed four metrics in accordance with experts from urban planning. We illustrate the applicability of Vis-A-Ware on the basis of a use case scenario and present results from informal feedback sessions with domain experts from urban planning and development. This feedback suggests that Vis-A-Ware is a valuable tool for visibility analysis allowing analysts to answer complex questions more efficiently and objectively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1552, "image_height": 900, "name": "ortner-2016-visaware-teaser.png", "type": "image/png", "size": 348718, "path": "Publication:ortner-2016-visaware", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1277, 1072, 1387, 205, 451, 166 ], "issn": "1077-2626 ", "journal": "Visualization and Computer Graphics, IEEE Transactions on", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/document/7390069/?arnumber=7390069", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1552, "image_height": 900, "name": "ortner-2016-visaware-teaser.png", "type": "image/png", "size": 348718, "path": "Publication:ortner-2016-visaware", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/", "__class": "Publication" }, { "id": "PB-VRVis-2018-005", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "An Automated Verification Workflow for Planned Lighting Setups using BIM", "date": "2018-04", "abstract": "The use of Building Information Modeling (BIM) methods is becoming more\nand more established in the planning stage, during the construction, and\nfor the management of buildings. Tailored BIM software packages allow to\nhandle a vast amount of relevant aspects, but have so far not been\ncovering specialized tasks like the evaluation of light distributions in\nand around a 3D model of a building. To overcome this limitation, we\ndemonstrate the use of the open-source IFC format for preparing and\nexchanging BIM data to be used in our interactive light simulation\nsystem. By exploiting the availability of 3D data and semantic\ndescriptions, it is possible to automatically place measurement surfaces\nin the 3D scene, and evaluate the suitability and sustainability of a\nplanned lighting design according to given constraints and industry\nnorms. Interactive visualizations for fast analysis of the simulation\nresults, created using state-of-the-art web technologies, are seamlessly\nintegrated in the 3D work environment, helping the lighting designer to\nquickly improve the initial lighting solution with a few clicks.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 448, "image_height": 309, "name": "PB-VRVis-2018-005-image.png", "type": "image/png", "size": 116117, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494, 1030, 659, 1612, 1613, 678 ], "booktitle": "REAL CORP 2018, Proceedings", "editor": "M. Schrenk and V. V. Popovich and P. Zeile and P. Elisei and C. Beyerand G. Navratil", "event": "REAL CORP 2018", "isbn": "978-3-9504173-5-7", "lecturer": [ 1030 ], "pages": "55–65", "pages_from": "55", "pages_to": "65", "series": "REAL CORP", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 448, "image_height": 309, "name": "PB-VRVis-2018-005-image.png", "type": "image/png", "size": 116117, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PB-VRVis-2018-005-paper.pdf", "type": "application/pdf", "size": 2452259, "path": "Publication:PB-VRVis-2018-005", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/", "__class": "Publication" }, { "id": "Pfahler-2016-MT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visualisierung hochdimensionaler Daten mit hierarchischer Gruppierung von Teilmengen", "date": "2019-10-01", "abstract": "The number of installed sensors to acquire data, for example electricity meters in smart grids, is increasing rapidly. The huge amount of collected data needs to be analyzed and monitored by transmission-system operators. This task is supported by visual analytics techniques, but traditional multi-dimensional data visualization techniques do not scale\nvery well for high-dimensional data. The main contribution of this thesis is a framework to efficiently examine and compare such high-dimensional data. The key idea is to divide the data by the semantics of the underlying dimensions into groups. Domain experts are familiar with the meta-information of the data and are able to structure these groups into a hierarchy. Various statistical properties are calculated from the subdivided data. These\nare then visualized by the proposed system using appropriate means. The hierarchy and\nthe visualizations of the calculated statistical values are displayed in a tabular layout.\nThe rows contain the subdivided data and the columns visualize their statistics. Flexible interaction possibilities with the visual representation help the experts to fulfill their analysis tasks. The tasks include searching for structures, sorting by statistical properties, identifying correlations of the subdivided data, and interactively subdivide or combine\nthe data. A usage scenario evaluates the design of the framework with a data set of the target domain in the energy sector.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 459, "image_height": 234, "name": "Pfahler-2016-MT-image.JPG", "type": "image/jpeg", "size": 29864, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1283 ], "date_end": "2019-10-01", "date_start": "2016-09", "matrikelnr": "1126287 ", "open_access": "yes", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 459, "image_height": 234, "name": "Pfahler-2016-MT-image.JPG", "type": "image/jpeg", "size": 29864, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Pfahler-2016-MT-Master Thesis.pdf", "type": "application/pdf", "size": 6056490, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Pfahler-2016-MT-Poster.pdf", "type": "application/pdf", "size": 545027, "path": "Publication:Pfahler-2016-MT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/", "__class": "Publication" }, { "id": "PROST-2017-RTL", "type_id": "runmasterthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Rendering of Photometric Area Lights for Interactive Lighting Design", "date": "2017-04", "abstract": "The aim of this work is to develop a plausible real-time approximation for photometric\narea lights. The new approximation should be closer to the ground truth than the\ncurrent point representation, but should not suffer from artifacts due to the simplification.\nThe expected outcome is an approximation which creates plausible illumination of\ndiffuse, glossy and specular surfaces. Moreover, we plan to design an approximation\nthat can handle rotationally symmetric as well as asymmetric photometric area lights.\nShadows play an important role in rendering realistic images. Since a vast amount\nof solutions have been proposed, we will elaborate and discuss the current state of the\nart of real-time soft shadows (shadows of area lights) in this thesis. As the impact of a\nphotometric profile of a light on its shadow is eligible, we will focus on unblocked light\ntransport (as opposed to the scene shown in Figure 2 where an occluder exists) when\ndeveloping the approximation.\nWe plan to take forward interactive lighting design by developing this new approximation:\nGiven the option to have plausible illumination from photometric area lights\nduring the design process, designers can develop new lighting systems even faster and\nmore intuitive. The novel lighting design process will be oriented at the established\ninteractive workflows provided by modern game-engine editors, and thus reduce the\ndevelopment time for new lighting systems and prototypes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1377 ], "date_start": "2017-04", "matrikelnr": "1225511", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "area lights" ], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PROST-2017-RTL/", "__class": "Publication" }, { "id": "PROST-2019-RTPAL", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Real-Time Photometric Area Light Approximation for Interactive Lighting Design", "date": "2019-02", "abstract": "Photometric light sources are modeled after real-world luminaires and are used in\nlighting design to accurately simulate lighting. While an accurate evaluation of their\nillumination is possible with offline global-illumination algorithms, currently used realtime\napproximations, which are required for an interactive lighting design work flow, are\nprone to errors when the light source is close to illuminated objects. This is due to the\nnon-zero dimensionality of photometric lights, which are often area or volume lights.\nIn this thesis, we present a new technique to approximate photometric area lights in\nreal time. This new technique is based on combining two sampling strategies that are\ncurrently used in game engines to approximate the illumination from diffuse area lights.\nOur technique samples the photometric area light with this combined sampling strategy\nand then computes the illumination with a cubature technique based the Delaunay\ntriangulation. To do this in real time, we implemented our method on the GPU and\ndeveloped a compact triangle data structure that enables an efficient generation of a\nDelaunay triangulation.\nThe result of this thesis is a new technique for photometric area lights that creates visually\nplausible approximations in real time, even if the light source is close to illuminated\nobjects.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1917, "image_height": 1078, "name": "PROST-2019-RTPAL-image.jpg", "type": "image/jpeg", "size": 52742, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1377 ], "date_end": "2019-03-07", "date_start": "2017-04", "matrikelnr": "01225511", "supervisor": [ 193, 659 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1917, "image_height": 1078, "name": "PROST-2019-RTPAL-image.jpg", "type": "image/jpeg", "size": 52742, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PROST-2019-RTPAL-poster.pdf", "type": "application/pdf", "size": 894265, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PROST-2019-RTPAL-thesis.pdf", "type": "application/pdf", "size": 15010871, "path": "Publication:PROST-2019-RTPAL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/", "__class": "Publication" }, { "id": "Przemyslaw-2010-ADS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Device-aware Spatial 3D Visualization Platform for Mobile Urban Exploration ", "date": "2010-10", "abstract": "Mobile devices displaying 2D map representations are already commonly used for the exploration of urban surroundings on the move. Even though mobile detailed 3D visualizations promise to be an attractive way to cope with the increasing amount of georeferenced information, their widespread use is hampered by the fragmentation of today’s mobile device landscape. In this paper, we tackle this real-world problem by introducing a device-aware 3D visualization service platform. Its core is composed of a rule engine selecting and tailoring a suitable visualization process for a requesting device. While we apply remote-renderings for resource-restrained mobile devices, real-time on-device renderings are applied for high-end devices. Following this device-aware approach, a variety of mobile devices with different technical capabilities can be provided with tailored environmental 3D representations for mobile urban exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 692, "image_height": 414, "name": "Przemyslaw-2010-ADS-image.jpg", "type": "image/jpeg", "size": 105032, "path": "Publication:Przemyslaw-2010-ADS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 895, 844 ], "booktitle": "Proceedings of the Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2010)", "date_from": "2010-10-25", "date_to": "2010-10-30", "isbn": "978-1-61208-000-0", "lecturer": [ 895 ], "location": "Florenz, Italien", "organization": "The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2010)", "pages_from": "47", "pages_to": "52", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 692, "image_height": 414, "name": "Przemyslaw-2010-ADS-image.jpg", "type": "image/jpeg", "size": 105032, "path": "Publication:Przemyslaw-2010-ADS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/", "__class": "Publication" }, { "id": "Purg2015-b", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing in Österreich", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-03-27", "event": "Medienseminar Informatik der Plattform informatik_austria", "location": "Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-b/", "__class": "Publication" }, { "id": "Purg2015-c", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computer Graphics in Real-World Applications", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-06-10", "event": "Visual Computing Workshop at the OCG-Jahrestagung", "location": "Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-c/", "__class": "Publication" }, { "id": "Purg2015-China", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Industrial Use of Mixed Reality in VRVis Projects", "date": "2015-09", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purg2015-China-.pdf", "type": "application/pdf", "size": 397521, "path": "Publication:Purg2015-China", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190, 1262, 202 ], "booktitle": "Proceedings of VISIC", "date_from": "2015-09-07", "date_to": "2015-09-08", "lecturer": [ 1300 ], "location": "Peking, China", "organization": "VR Kebao (Tianjin) Science & Technology Co., Ltd", "pages_from": "19", "pages_to": "23", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purg2015-China-.pdf", "type": "application/pdf", "size": 397521, "path": "Publication:Purg2015-China", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/", "__class": "Publication" }, { "id": "Purg2015-d", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Industrial Use of Mixed Reality in VRVis Projects", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-09-07", "event": "VISIC'2015 Int'l Symposium on Virtual Reality, Augmented Reality and Visual Computing Application Technology", "location": "Beijing, China", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-d/", "__class": "Publication" }, { "id": "purgathofer_2016I1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing — a best practice from Vienna", "date": "2016-12-08", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2016-12-08", "event": "National Research University – Higher School of Economics (HSE)", "location": "Moskau", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/purgathofer_2016I1/", "__class": "Publication" }, { "id": "Purgathofer-2013-cvws", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Accurate Fast Simulation of Light", "date": "2013", "abstract": "Light distribution in a scene is a very complex issue if it shall be close to realism. For a lamp producing and light planning company such as Zumtobel it is of great value to be able to design installations interactively, providing immediate feedback to the costumers about the final result. Many aspects such as reflections and indirect lighting make this task difficult. This talk will give some ideas how a project at the research center VRVis approaches this topic, and which algorithms are useful for this. Where can we simplify without visible loss? How can we use the GPU to speed up the calculations? Why are virtual lights an efficient concept? Some example images provide evidence.\r\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2013-02-04", "date_to": "2013-02-06", "event": "The 18th Computer Vision Winter Workshop", "location": "Hernstein, Austria", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Purgathofer-2013-cvws/", "__class": "Publication" }, { "id": "Purgathofer-2014-ETH", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Aspects of Scientific Research in Cooperation with Companies", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-07-04", "event": "20 Year Anniversary of CGL at ETH", "location": "Zürich, Switzerland", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-ETH/", "__class": "Publication" }, { "id": "Purgathofer-2014-LSM", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "A Live Services Marketplace: Telepresence through Remote Humans", "date": "2014-05", "abstract": "The basic idea is to use state-of-the-art telecommunication technology to implement the virtual presence of a person at a remote location. The concept is described with the use of modern mobile phones (smartphones), but several other devices with similar or extended capabilities could be used instead, including pads and notebooks, action cams and augmented reality glasses (e.g. Google eyeglasses). The person, who wants to be tele-present somewhere (let’s call this person the “pilot”), uses the smartphone to communicate with a person at the remote site (let’s call this person the “flyer”). The contact includes an acoustic connection, i.e. they can talk to each other, and a video connection, i.e. at least the pilot sees what the flyer is doing. The Live Services Marketplace describes a business how to connect pilots with flyers. Flyers can register their willingness to act as telepresence avatars for selected tasks from a list of allowable tasks, maintained to prevent illegal tasks. Pilots can book these flyers through a central administration system, which searches for appropriate flyers, anonymises the contact and organizes the financial arrangement. The audio and video connection is live only (just as a phone call). The paper describes the basic concept and many use cases for this business.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190, 1187 ], "number": "TR-186-2-14-1", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2014-LSM-technical report.pdf", "type": "application/pdf", "size": 100177, "path": "Publication:Purgathofer-2014-LSM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/Purgathofer-2014-LSM-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/Purgathofer-2014-LSM-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/", "__class": "Publication" }, { "id": "Purgathofer-2014-PanEu", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Requirements on the Staff of an Application Oriented Research Organization", "date": "2014-12", "abstract": "The VRVis Research Center in Vienna is the largest technology transfer institution in the area of Visual Computing in Austria. The requirements of the funding body FFG include the publication of scientific research results in first class peer reviewed media, and the active cooperation with co-funding companies. As a consequence the requirements on the staff of VRVis are manifold: they have to communicate with real users, use real data, know about software and hardware, understand the market, do professional documentation, initiate new projects and write funding proposals for these, be part of the scientific community and publish and review papers, manage several projects in parallel and obey strict deadlines for their projects and some more. Such staff is barely available and must be trained on the job.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2014-PanEu-.pdf", "type": "application/pdf", "size": 17386, "path": "Publication:Purgathofer-2014-PanEu", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "booktitle": "Current Issues of Science and Research in the Global World", "chapter": "Proceedings of the International Conference on Current Issues of Science and Research in the Global World, Vienna, Austria; 27–28 May 2014", "editor": "Vlasta Kunova, Martin Dolinsky", "isbn": "9781138027398", "note": "December 15, 2014 by CRC Press", "publisher": "CRC Balkema Press, Netherlands", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2014-PanEu-.pdf", "type": "application/pdf", "size": 17386, "path": "Publication:Purgathofer-2014-PanEu", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/", "__class": "Publication" }, { "id": "Purgathofer-2014-Rio", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computer Graphics in Vienna and at the VRVis Research Center", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2014-10-29", "event": "Computer Graphics Lab at Universidade Federal do Rio de Janeiro", "location": "Rio de Janeiro, Brazil", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-Rio/", "__class": "Publication" }, { "id": "Purgathofer-2015-WA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Überblick Visual Computing: Teilbereiche und Anwendungsfelder", "date": "2015", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2015-11-19", "event": "Business Treff \"Visual Computing\"", "location": "Wien", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "pdf of the slides used", "filetitle": "Talk slides ", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Purgathofer-2015-WA-Talk slides .pdf", "type": "application/pdf", "size": 1720113, "path": "Publication:Purgathofer-2015-WA", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/Purgathofer-2015-WA-Talk slides .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/Purgathofer-2015-WA-Talk slides :thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/", "__class": "Publication" }, { "id": "Purgathofer-2017-China1", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "From Visualization to Decision Support", "date": "2017-09-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2017-09-28", "event": "Virtual Reality and Visual Computing International Forum", "location": "Nanjing, China", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China1/", "__class": "Publication" }, { "id": "Purgathofer-2017-China2", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "From Visualization to Decision Support", "date": "2017-09-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_to": "2017-09-29", "event": "2nd International Forum on VR Visual Computing Technologies", "location": "Hangzhou, China", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China2/", "__class": "Publication" }, { "id": "Purgathofer-2017-VC-Interface", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Computing als Interface zur Entscheidungsunterstützung", "date": "2017-07-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "date_from": "2017-07-04", "event": "RailTec 4.0 Workshop", "location": "Wien", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-VC-Interface/", "__class": "Publication" }, { "id": "Purgathofer-2018-EG", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Best Practice in Technology Transfer", "date": "2018-04-19", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190 ], "event": "Eurographics Industrial Presentations", "lecturer": [ 190 ], "location": "Delft, NL", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-EG/", "__class": "Publication" }, { "id": "Rainer_2017", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Shape Detection in Out-of-Core Point Clouds for Assisted User Interactions", "date": "2017-11", "abstract": "This thesis presents a semi-automated method for shape detection in out-of-core point clouds. Rather than performing shape detection on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results within a fraction of a second. Thus, the user is presented immediately with\nfeedback on the local geometry.\nAs modern point clouds can contain billions of points and the memory capacity of\nconsumer PCs is usually insufficient to hold all points in memory at the same time, a level-of-detail data structure is used to store the point cloud on the hard disc, and data is loaded into memory only on use. This data structure partitions the point cloud into small regions, each containing around 5000 points, that are used for rendering and shape detection. Interacting with point clouds is a particularly demanding task. A precise selection of a\nregion of interest, using the two-dimensional lasso interaction, often needs multiple view changes and subsequent improvements. This thesis proposes improvements to the lasso interaction, by performing selection only on the set of points that are approximated by a\ndetected shape. Thus, the selection of undesired points in the fore- and background is reduced. Point picking is improved as well by the use of a detected shape, such that only points that are approximated by this shape are pick-able.\nThe result of this thesis is an application that allows the user to view point clouds with millions of points. It also provides a novel interaction technique for quick local shape detection as well as shape-assisted interactions that utilize this local semantic information to improve the user’s workflow.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 300, "name": "Rainer_2017-image.JPG", "type": "image/jpeg", "size": 51988, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1539 ], "date_end": "2017-10-17", "date_start": "2016-10-10", "diploma_examina": "2018-01-09", "matrikelnr": "0828592", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 300, "name": "Rainer_2017-image.JPG", "type": "image/jpeg", "size": 51988, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rainer_2017-Master thesis.pdf", "type": "application/pdf", "size": 9242735, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rainer_2017-poster.pdf", "type": "application/pdf", "size": 4630728, "path": "Publication:Rainer_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/", "__class": "Publication" }, { "id": "Reichinger_2016", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Gesture-Based Interactive Audio Guide on Tactile Reliefs", "date": "2016-10", "abstract": "For blind and visually impaired people, tactile reliefs offer many benefits over the more classic raised line drawings or tactile diagrams, as depth, 3D shape and surface textures are directly perceivable. However, without proper guidance some reliefs are still difficult to explore autonomously.\nIn this work, we present a gesture-controlled interactive audio guide (IAG) based on recent low-cost depth cameras that operates directly on relief surfaces. The interactively explorable, location-dependent verbal descriptions promise rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation at \npublic places.\nWe present a working prototype, discuss design decisions and present the results of two evaluation sessions with a total of \n20 visually impaired test users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 228, 204, 190 ], "date_from": "2016-10-23", "date_to": "2016-10-26", "event": "18th International ACM SIGACCESS Conference on Computers and Accessibility", "journal": "Proceedings of the 18th International ACM SIGACCESS Conference on Computers & Accessibility", "lecturer": [ 879 ], "location": "Reno, Nevada, USA", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 404, "image_height": 262, "name": "Reichinger_2016-image.jpg", "type": "image/jpeg", "size": 19342, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_2016-Paper.pdf", "type": "application/pdf", "size": 5469565, "path": "Publication:Reichinger_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/", "__class": "Publication" }, { "id": "Reichinger_Fuhrmann_2016", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Concept for Re-Useable Interactive Tactile Reliefs", "date": "2016", "abstract": "We introduce a concept for a relief-printer, a novel production method for tactile reliefs, that allows to reproduce bas-reliefs of several centimeters height difference. In contrast to available methods, this printer will have a much smaller preparation time, and does not consume material nor produce waste, since it is based on a re-usable medium, suitable for temporary printouts. Second, we sketch a concept for the autonomous, interactive exploration of tactile reliefs, in the form of a gesture-controlled audio guide, based on recent depth cameras. Especially the combination of both approaches promises rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation in museums.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 204, 228, 190 ], "booktitle": "A Concept for Re-Useable Interactive Tactile Reliefs", "journal": "ICCHP 2016, Part II", "lecturer": [ 1392 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 335, "image_height": 156, "name": "Reichinger_Fuhrmann_2016-image.jpg", "type": "image/jpeg", "size": 10288, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Reichinger_Fuhrmann_2016-paper.pdf", "type": "application/pdf", "size": 428189, "path": "Publication:Reichinger_Fuhrmann_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/", "__class": "Publication" }, { "id": "Reichinger-2011-Tac", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "High-Quality Tactile Paintings", "date": "2011", "abstract": "The aim of this work is to bring the cultural heritage of two-dimensional art closer to being accessible by blind\r\nand visually impaired people. We present a computer-assisted workflow for the creation of tactile representations\r\nof paintings, suitable to be used as a learning tool in the context of guided tours in museums or galleries. Starting\r\nfrom high-resolution images of original paintings, our process allows an artist to quickly design the desired form,\r\nand generate data suitable for rapid prototyping machines to produce the physical touch tools. Laser-cut layered\r\ndepth diagrams, convey not only the individual objects in the painting and their spatial layout, but also augment\r\ntheir depth relations. CNC-milled textured reliefs additionally render fine details like brush strokes and texture\r\nsuitable for the sense of touch. Our methods mimic aspects of the visual sense, make sure that the haptic output is\r\nquite faithful to the original paintings and do not require special manual abilities, like sculpting skills.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Reichinger-2011-Tac-.pdf", "type": "application/pdf", "size": 2330074, "path": "Publication:Reichinger-2011-Tac", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 228, 190 ], "booktitle": "Eurographics 2011 - Areas Papers", "date_from": "2011-04-11", "date_to": "2011-04-15", "editor": "A. Day and R. Mantiuk and E. Reinhard and R. Scopigno", "lecturer": [ 879 ], "location": "Llandudno, UK", "organization": "Eurographics", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Reichinger-2011-Tac-.pdf", "type": "application/pdf", "size": 2330074, "path": "Publication:Reichinger-2011-Tac", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/", "__class": "Publication" }, { "id": "Reichinger-2016-spaghetti", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Spaghetti, Sink and Sarcophagus: Design Explorations of Tactile Artworks for Visually Impaired People", "date": "2016-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 190 ], "booktitle": "Proceedings of the 9th Nordic Conference on CHI 2016", "date_from": "2016", "event": "9th Nordic Conference on CHI 2016", "lecturer": [ 879 ], "research_areas": [ "Fabrication", "Perception" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger-2016-spaghetti/", "__class": "Publication" }, { "id": "Reichinger-2018-TAC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Pictures in Your Mind: Using Interactive Gesture-Controlled Reliefs to Explore Art", "date": "2018-03", "abstract": "Tactile reliefs offer many benefits over the more classic\n raised line drawings or tactile diagrams, as depth, 3D shape,\n and surface textures are directly perceivable. Although often\n created for blind and visually impaired (BVI) people, a wider\n range of people may benefit from such multimodal material.\n However, some reliefs are still difficult to understand without\n proper guidance or accompanying verbal descriptions, hindering\n autonomous exploration.\n \n In this work, we present a gesture-controlled interactive audio\n guide (IAG) based on recent low-cost depth cameras that can be\n operated directly with the hands on relief surfaces during\n tactile exploration. The interactively explorable,\n location-dependent verbal and captioned descriptions promise\n rapid tactile accessibility to 2.5D spatial information in a\n home or education setting, to online resources, or as a kiosk\n installation at public places.\n \n We present a working prototype, discuss design decisions, and\n present the results of two evaluation studies: the first with 13\n BVI test users and the second follow-up study with 14 test users\n across a wide range of people with differences and difficulties\n associated with perception, memory, cognition, and\n communication. The participant-led research method of this\n latter study prompted new, significant and innovative\n developments.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 1573, 1574, 1575, 1576, 1577, 1578, 204, 228, 190 ], "journal": "ACM Transactions on Accessible Computing", "number": "2", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reichinger-2018-TAC/", "__class": "Publication" }, { "id": "reisner-2010-1dh", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "3D Camera Pose Estimation using Line Correspondences and 1D Homographies", "date": "2010", "abstract": "This paper describes a new method for matching line segments\r\nbetween two images in order to compute the relative camera pose.\r\nThis approach improves the camera pose for images lacking stable point\r\nfeatures but where straight line segments are available. The line matching\r\nalgorithm is divided into two stages: At first, scale-invariant feature\r\npoints along the lines are matched incorporating a one-dimensional homography.\r\nThen, corresponding line segments are selected based on the\r\nquality of the estimated homography and epipolar constraints. Based on\r\ntwo line segment correspondences the relative orientation between two\r\nimages can be calculated.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1122, "image_height": 1496, "name": "reisner-2010-1dh-image.png", "type": "image/png", "size": 1381437, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 879, 190 ], "booktitle": "Advances in Visual Computing: 6th International Symposium on Visual Computing (ISVC 2010)", "date_from": "2010-11-29", "date_to": "2010-12-01", "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Chung, R.; Hammoud, R.; Hussain, M.; Tan, K.-H.; Crawfis, R.; Thalmann, D.; Kao, D.; Avila, L.", "isbn": "978-3-642-17273-1", "lecturer": [ 847 ], "location": "Las Vegas, Nevada, USA", "pages_from": "41", "pages_to": "52", "publisher": "Springer", "series": "Lecture Notes in Computer Science", "research_areas": [], "keywords": [ "pose estimation", "line matching" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1122, "image_height": 1496, "name": "reisner-2010-1dh-image.png", "type": "image/png", "size": 1381437, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2010-1dh-paper.pdf", "type": "application/pdf", "size": 5076800, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "scalespace", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 810, "image_height": 320, "name": "reisner-2010-1dh-scalespace.png", "type": "image/png", "size": 61107, "path": "Publication:reisner-2010-1dh", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-scalespace.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-scalespace:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/", "__class": "Publication" }, { "id": "reisner-2010-ind", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive reconstruction of industrial sites using parametric models", "date": "2010-05", "abstract": "We present a new interactive modeling technique for reconstructing\n3D objects from multiple images. We specifically address the\nproblems that arise in industrial environments during camera orientation,\nimage segmentation and modeling. An accurate camera\norientation is ensured by using coded markers and surveyed points\nfrom a total station. Interactive segmentations of edges and regions\nin the images are used as input for fitting parametric models to the\nscene. We provide an intuitive interface which allows modeling artificial\nobjects without having extensive knowledge about 3D modeling\nor photogrammetry.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1178, "image_height": 867, "name": "reisner-2010-ind-image.png", "type": "image/png", "size": 967045, "path": "Publication:reisner-2010-ind", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 204, 190 ], "booktitle": "Proceedings of 26th Spring Conference on Computer Graphics (SCCG 2010)", "date_from": "2010-05-13", "date_to": "2010-05-15", "editor": "Helwig Hauser , Reinhard Klein", "isbn": "978-80-223-2644-5", "lecturer": [ 847 ], "location": "Budmerice, Slovak Republic", "pages_from": "119", "pages_to": "126", "publisher": "Comenius University, Bratislava", "research_areas": [ "Modeling" ], "keywords": [ "multi-view reconstruction", "model fitting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1178, "image_height": 867, "name": "reisner-2010-ind-image.png", "type": "image/png", "size": 967045, "path": "Publication:reisner-2010-ind", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2010-ind-paper.pdf", "type": "application/pdf", "size": 4382037, "path": "Publication:reisner-2010-ind", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/", "__class": "Publication" }, { "id": "reisner-2011-akgeo", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Reconstructing Buildings as Textured Low Poly Meshes from Point Clouds and Images", "date": "2011-04", "abstract": "Current urban building reconstruction techniques rely mainly on data gathered from either laser scans or image-\nbased approaches, and do usually require a large amount of manual post-processing and modeling. Difficulties arise due to erroneous and noisy data, and due to the huge amount of information to process. We propose a system that helps to overcome these time-consuming steps by automatically generating low-poly 3D building models. This is achieved by taking both information from point clouds and image information into account, exploiting the particular strengths and avoiding the relative weaknesses of these data sources: While the segmented point cloud is used to identify the dominant planar surfaces in 3D space, the images are used to extract accurate edges, fill holes and generate textured polygonal meshes of urban buildings.", "authors_et_al": false, "substitute": null, "main_image": { "description": "clustering surface normals", "filetitle": "image-normals", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 500, "name": "reisner-2011-akgeo-image-normals.png", "type": "image/png", "size": 520021, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 659, 678 ], "booktitle": "Eurographics 2011 - Short Papers", "editor": "Nick Avis and Sylvain Lefebvre", "lecturer": [ 847 ], "location": "Llandudno, UK", "pages_from": "17", "pages_to": "20", "research_areas": [ "Modeling" ], "keywords": [ "Modeling packages", "Computational Geometry and Object Modeli" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image-library", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3114, "image_height": 760, "name": "reisner-2011-akgeo-image-library.png", "type": "image/png", "size": 1954691, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-library.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-library:thumb{{size}}.png" }, { "description": "clustering surface normals", "filetitle": "image-normals", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 500, "name": "reisner-2011-akgeo-image-normals.png", "type": "image/png", "size": 520021, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2011-akgeo-paper.pdf", "type": "application/pdf", "size": 701519, "path": "Publication:reisner-2011-akgeo", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/", "__class": "Publication" }, { "id": "reisner-2011-comdm", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Consolidation of Multiple Depth Maps", "date": "2011-11", "abstract": "Consolidation of point clouds, including denoising, outlier removal and normal estimation, is an important pre-processing step for surface reconstruction techniques. We\r\npresent a consolidation framework specialized on point clouds created by multiple frames of a depth camera. An\r\nadaptive view-dependent locally optimal projection operator denoises multiple depth maps while keeping their struc\r\nture in two-dimensional grids. Depth cameras produce a systematic variation of noise scales along the depth axis.\r\nAdapting to different noise scales allows to remove noise in the point cloud and preserve well-defined details at the same time. Our framework provides additional consolidation steps for depth maps like normal estimation and outlier removal. We show how knowledge about the distribution of\r\nnoise in the input data can be effectively used for improving\r\npoint clouds.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image-desk", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1710, "image_height": 1406, "name": "reisner-2011-comdm-image-desk.png", "type": "image/png", "size": 2527631, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 228 ], "booktitle": "IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV 2011)", "lecturer": [ 847 ], "location": "Barcelona", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image-desk", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1710, "image_height": 1406, "name": "reisner-2011-comdm-image-desk.png", "type": "image/png", "size": 2527631, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk:thumb{{size}}.png" }, { "description": "", "filetitle": "image-markers", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2416, "image_height": 1785, "name": "reisner-2011-comdm-image-markers.png", "type": "image/png", "size": 2681070, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-markers.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-markers:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2011-comdm-poster.pdf", "type": "application/pdf", "size": 3374994, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2011-comdm-preprint.pdf", "type": "application/pdf", "size": 4910482, "path": "Publication:reisner-2011-comdm", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/", "__class": "Publication" }, { "id": "reisner-2012-iwssip", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Segmenting Multiple Range Images with Primitive Shapes", "date": "2012-04", "abstract": "We introduce a novel method for automatically segmenting multiple registered range images by detecting and optimizing geometric primitives. The resulting shapes provide high level information about scanned objects and are a valuable input for surface reconstruction, hole filling, or shape analysis. We begin by generating a global graph of sample points covering all input frames. The graph structure allows to compute a globally consistent segmentation with a memory and time-efficient solution, even for large sets of input images. We iteratively detect shapes with a Ransac-approach, optimize the assignments of graph nodes to shapes, and optimize the shape parameters. Finally, pixel-accurate segmentations can be extracted for each source image individually. By using range images instead of unstructured point clouds as input, we can exploit additional information such as connectivity or varying precision of depth measurements.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 850, "image_height": 640, "name": "reisner-2012-iwssip-image.png", "type": "image/png", "size": 911961, "path": "Publication:reisner-2012-iwssip", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 847, 228 ], "booktitle": "Proceedings of 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012)", "date_from": "2012-04-11", "date_to": "2012-04-13", "isbn": "978-3-200-02588-2", "lecturer": [ 847 ], "location": "Vienna", "research_areas": [], "keywords": [ "surface fitting", "range data", "segmentation", "shape detection" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 850, "image_height": 640, "name": "reisner-2012-iwssip-image.png", "type": "image/png", "size": 911961, "path": "Publication:reisner-2012-iwssip", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "reisner-2012-iwssip-paper.pdf", "type": "application/pdf", "size": 2294181, "path": "Publication:reisner-2012-iwssip", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/", "__class": "Publication" }, { "id": "SCHOBER-2006-IVSA", "type_id": "runmasterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Visualization of Smooth Adaptive Height Fields", "date": "2017-06", "abstract": "In this thesis we will develop an interactive visualization method for adaptive height Fields. The method\nshould visualize height-Field data smoothly and adjust detail to the distance of a point to the camera.\nRe-sampling is expected to take boundary conditions, such as walls, into account, to avoid data leaking\nthough such boundaries.\n\nThe surface should be rendered smoothly to avoid line-like intersections between two surfaces (each\nrepresented by an own height Field) if those intersections do not represent the apparent situation. The\nmethod should also support further rendering steps by providing fast access to the smoothed data.\nThe method is expected to support at least rendering for water and terrain, but may also be used for\nother height Fields.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 987 ], "date_start": "2017-06", "matrikelnr": "00828151", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHOBER-2006-IVSA/", "__class": "Publication" }, { "id": "schuetz-2019-CLOD", "type_id": "inproceedings", "tu_id": 283354, "repositum_id": null, "title": "Real-Time Continuous Level of Detail Rendering of Point Clouds", "date": "2019-03", "abstract": "Real-time rendering of large point clouds requires acceleration structures that reduce the number of points drawn on screen. State-of-the art algorithms group and render points in hierarchically organized chunks with varying extent and density, which results in sudden changes of density from one level of detail to another, as well as noticeable popping artifacts when additional chunks are blended in or out. \nThese popping artifacts are especially noticeable at lower levels of detail, and consequently in virtual reality, where high performance requirements impose a reduction in detail.\n\nWe propose a continuous level-of-detail method that exhibits gradual rather than sudden changes in density. Our method continuously recreates a down-sampled vertex buffer from the full point cloud, based on camera orientation, position, and distance to the camera, in a point-wise rather than chunk-wise fashion and at speeds up to 17 million points per millisecond.\nAs a result, additional details are blended in or out in a less noticeable and significantly less irritating manner as compared to the state of the art. The improved acceptance of our method was successfully evaluated in a user study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot_1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 961, "image_height": 878, "name": "schuetz-2019-CLOD-screenshot_1.png", "type": "image/png", "size": 870310, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1030, 193 ], "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces", "cfp": { "name": "cfpapers_ieeevr_2019.pdf", "type": "application/pdf", "error": "0", "size": "829256", "orig_name": "cfpapers_ieeevr_2019.pdf", "ext": "pdf" }, "date_from": "2019-03-23", "date_to": "2019-03-27", "doi": "10.1109/VR.2019.8798284", "event": "IEEE VR 2019, the 26th IEEE Conference on Virtual Reality and 3D User Interfaces", "lecturer": [ 1116 ], "location": "Osaka, Japan", "pages_from": "103", "pages_to": "110", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "point clouds, virtual reality, VR" ], "weblinks": [ { "href": "https://github.com/m-schuetz/ieeevr_2019_clod", "caption": "Essential source code samples", "description": null, "main_file": 0 } ], "files": [ { "description": "continuous LOD subsample selected for the users current viewpoint", "filetitle": "birds_eye", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1494, "image_height": 1221, "name": "schuetz-2019-CLOD-birds_eye.png", "type": "image/png", "size": 2051540, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-birds_eye.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-birds_eye:thumb{{size}}.png" }, { "description": "More uniform distribution of points in screen space, compared to staircase artifacts from discrete LOD methods.", "filetitle": "distribution", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 498, "image_height": 228, "name": "schuetz-2019-CLOD-distribution.png", "type": "image/png", "size": 94654, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-distribution.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-distribution:thumb{{size}}.png" }, { "description": null, "filetitle": "paper_preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schuetz-2019-CLOD-paper_preprint.pdf", "type": "application/pdf", "size": 15684243, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-paper_preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot_1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 961, "image_height": 878, "name": "schuetz-2019-CLOD-screenshot_1.png", "type": "image/png", "size": 870310, "path": "Publication:schuetz-2019-CLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/", "__class": "Publication" }, { "id": "schwaerzler_2018_phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/7290", "title": "Advances in the Multimodal 3D Reconstruction and Modeling of Buildings", "date": "2018-06-27", "abstract": "Driven by the need for faster and more efficient workflows in the digitization of urban environments, the availability of affordable 3D data-acquisition systems for buildings has drastically increased in the last years: Laser scanners and photogrammetric methods both produce millions of 3D points within minutes of acquisition time. They are applied both\non street-level as well as from above using drones, and are used to enhance traditional\ntachymetric measurements in surveying. However, these 3D data points are not the only available information: Extracted meta data from images, simulation results (e.g., from light simulations), 2D floor plans, and semantic tags – especially from the upcoming Building Information Modeling (BIM) systems – are becoming increasingly important.\nThe challenges this multimodality poses during the reconstruction of CAD-ready 3D\nbuildings are manifold: Apart from handling the enormous size of the data that is\ncollected during the acquisition steps, the different data sources must also be registered to each other in order to be applicable in a common context – which can be difficult in case of missing or erroneous information. Nevertheless, the potential for improving both\nthe workflow efficiency as well as the quality of the reconstruction results is huge: Missing information can be substituted by data from other sources, information about spatial or semantic relations can be utilized to overcome limitations, and interactive modeling\ncomplexity can be reduced (e.g., by limiting interactions to a two-dimensional space).\nIn this thesis, four publications are presented which aim at providing freely combinable “building blocks” for the creation of helpful methods and tools for advancing the field of Multimodal Urban Reconstruction. First, efficient methods for the calculation of shadows cast by area light sources are presented – one with a focus on the most efficient generation of physically accurate penumbras, and the other one with the goal of reusing\nsoft shadow information in consecutive frames to avoid costly recalculations. Then, a novel, optimization-supported reconstruction and modeling tool is presented, which employs sketch-based interactions and snapping techniques to create water-tight 3D building models. An extension to this system is demonstrated consecutively: There, 2D photos act as the only interaction canvas for the simple, sketch-based creation of building geometry and the corresponding textures. Together, these methods form a solid foundation for the creation of common, multimodal environments targeted at the reconstruction of 3D building models.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 232, "name": "schwaerzler_2018_phd-image.PNG", "type": "image/png", "size": 61239, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 678 ], "date_end": "2018", "date_start": "2010", "open_access": "yes", "reviewer_1": [ 823 ], "reviewer_2": [ 378 ], "rigorosum": "2018-10-23", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 248, "image_height": 232, "name": "schwaerzler_2018_phd-image.PNG", "type": "image/png", "size": 61239, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "PhD-Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schwaerzler_2018_phd-PhD-Thesis.pdf", "type": "application/pdf", "size": 7485949, "path": "Publication:schwaerzler_2018_phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/", "__class": "Publication" }, { "id": "SCHWAERZLER-2017-SBGM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Sketch-based Guided Modeling of 3D Buildings from Oriented Photos", "date": "2017-02", "abstract": "Capturing urban scenes using photogrammetric methods has become an interesting alternative to laser scanning in the past years. For the reconstruction of CAD-ready 3D models, two main types of interactive approaches have become prevalent: One uses the generated 3D point clouds to reconstruct polygonal surfaces, while the other focuses on 2D interaction in the photos to define edges and faces.\n\nWe propose a novel interactive system that combines and enhances these approaches in order to optimize current reconstruction and modeling workflows. Our main interaction target are the photos, allowing simple 2D interactions and edge-based snapping. We use the underlying segmented point cloud to define the 3D context in which the sketched polygons are projected whenever possible. An intuitive visual guiding interface gives the user feedback on the accuracy to expect with the current state of modeling to keep the necessary interactions at a minimum level.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 497, "name": "SCHWAERZLER-2017-SBGM-teaser.png", "type": "image/png", "size": 337632, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 678, 1466, 228, 193 ], "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "date_from": "2017-02-25", "date_to": "2017-02-27", "event": "I3D 2017", "isbn": "978-1-4503-4886-7", "lecturer": [ 1466 ], "location": "San Francisco, CA", "pages_from": "9:1", "pages_to": "9:8", "publisher": "ACM", "research_areas": [ "Modeling" ], "keywords": [ "3D modeling", "guidance", "photogrammetry" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHWAERZLER-2017-SBGM-draft.pdf", "type": "application/pdf", "size": 36126759, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 497, "name": "SCHWAERZLER-2017-SBGM-teaser.png", "type": "image/png", "size": 337632, "path": "Publication:SCHWAERZLER-2017-SBGM", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/", "__class": "Publication" }, { "id": "Shi_2007_PathLines", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields", "date": "2007-03", "abstract": "We describe an approach to visually analyzing the dynamic behavior of 3D\r\ntime-dependent flow fields by considering the behavior of the path lines. At\r\nselected positions in the 4D space-time domain, we compute a number of local\r\nand global properties of path lines describing relevant features of them. The\r\nresulting multivariate data set is analyzed by applying state-of-the-art information\r\nvisualization approaches in the sense of a set of linked views (scatter\r\nplots, parallel coordinates, etc.) with interactive brushing and focus+context\r\nvisualization. The selected path lines with certain properties are integrated\r\nand visualized as colored 3D curves. This approach allows an interactive exploration\r\nof intricate 4D flow structures. We apply our method to a number\r\nof flow data sets and describe how path line attributes are used for describing\r\ncharacteristic features of these flows.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 711, 712, 176, 713, 235, 714, 312 ], "booktitle": "TopoInVis 2007: Topology-Based Methods in Visualization", "lecturer": [ 711 ], "location": "Leipzig, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Shi_2007_PathLines-Paper.pdf", "type": "application/pdf", "size": 3323672, "path": "Publication:Shi_2007_PathLines", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Shi_2007_PathLines/Shi_2007_PathLines-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Shi_2007_PathLines/Shi_2007_PathLines-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Shi_2007_PathLines/", "__class": "Publication" }, { "id": "Singh-2008-Metric", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Load Simulation and Metrics Framework for Distributed Virtual Reality", "date": "2008-03", "abstract": "We describe a simple load-measure-model method for analyzing the\r\nscalability of Distributed Virtual Environments (DVEs). We use a\r\nload simulator and three metrics to measure a DVE’s engine with\r\nvarying numbers of simulated users. Our load simulator logs in as\r\na remote client and plays according to how users played during the\r\nconducted user study. Two quality of virtuality metrics, fidelity and\r\nconsistency, describe the user’s experience in the DVE. One engine\r\nperformance metric provides the cycle time of the engine’s primary\r\nloop. Simulation results (up to 420 users) are discussed.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 692, "image_height": 469, "name": "Singh-2008-Metric-.jpg", "type": "image/jpeg", "size": 83975, "path": "Publication:Singh-2008-Metric", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 770, 581, 235 ], "date_from": "2008-03-08", "date_to": "2008-03-12", "editor": "Reno, Nevada, USA", "event": "Virtual Reality Conference, 2008. VR ", "isbn": "978-1-4244-1971-5", "location": "Reno, Nevada USA", "note": "Lecturer: Denis Gracanin", "pages_from": "287", "pages_to": "288", "publisher": "IEEE", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 692, "image_height": 469, "name": "Singh-2008-Metric-.jpg", "type": "image/jpeg", "size": 83975, "path": "Publication:Singh-2008-Metric", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Singh-2008-Metric-paper.pdf", "type": "application/pdf", "size": 319718, "path": "Publication:Singh-2008-Metric", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/", "__class": "Publication" }, { "id": "sorger-2013-neuromap", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "neuroMAP - Interactive Graph-Visualization of the Fruit Fly's Neural Circuit", "date": "2013-10", "abstract": "Neuroscientists study the function of neural circuits in the brain of the common fruit fly Drosophila melanogaster to discover how complex behavior is generated. To establish models of neural information processing, knowledge about potential connections between individual neurons is required. Connections can occur when the arborizations of two neurons overlap. Judging connectivity by analyzing overlaps using traditional volumetric visualization is difficult since the examined objects occlude each other. A more abstract form of representation is therefore desirable. In collaboration with a group of neuroscientists, we designed and implemented neuroMap, an interactive two-dimensional graph that renders the brain and its interconnections in the form of a circuit-style wiring diagram. neuroMap provides a clearly structured overview of all possible connections between neurons and offers means for interactive exploration of the underlying neuronal database. In this paper, we discuss the design decisions that formed neuroMap and evaluate its application in discussions with the scientists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 947, "image_height": 703, "name": "sorger-2013-neuromap-teaser.jpg", "type": "image/jpeg", "size": 113971, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 231, 1142, 1278, 820 ], "booktitle": "Biological Data Visualization (BioVis), 2013 IEEE Symposium on ", "lecturer": [ 1072 ], "location": "Atlanta", "pages_from": "73", "pages_to": "80", "publisher": "IEEE", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2013-neuromap-paper.pdf", "type": "application/pdf", "size": 1416747, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 947, "image_height": 703, "name": "sorger-2013-neuromap-teaser.jpg", "type": "image/jpeg", "size": 113971, "path": "Publication:sorger-2013-neuromap", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/", "__class": "Publication" }, { "id": "sorger-2015-litevis", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "LiteVis: Integrated Visualization for Simulation-Based Decision Support in Lighting Design", "date": "2016-01", "abstract": "State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1860, "image_height": 1516, "name": "sorger-2015-litevis-thumb.png", "type": "image/png", "size": 253297, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1277, 659, 678, 166, 451 ], "event": "IEEE Vis", "issn": "1077-2626 ", "journal": "Visualization and Computer Graphics, IEEE Transactions on", "lecturer": [ 1072 ], "location": "Chicago", "number": "1", "pages_from": "290", "pages_to": "299", "volume": "22", "research_areas": [ "InfoVis", "Rendering" ], "keywords": [ "Integrating Spatial and Non-Spatial Data" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7192703&tag=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "30sec preview", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "sorger-2015-litevis-30sec preview.mp4", "type": "video/mp4", "size": 20482898, "path": "Publication:sorger-2015-litevis", "preview_name": "sorger-2015-litevis-30sec preview:preview.png", "preview_type": "image/jpeg", "preview_size": 77105, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:video.mp4" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2015-litevis-paper.pdf", "type": "application/pdf", "size": 14633562, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper:thumb{{size}}.png" }, { "description": "two components of the LiteVis interface, left: the Simulation View, right: ranking of lighting solutions in the Analysis View", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2934, "image_height": 1048, "name": "sorger-2015-litevis-teaser.png", "type": "image/png", "size": 367321, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thumb", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1860, "image_height": 1516, "name": "sorger-2015-litevis-thumb.png", "type": "image/png", "size": 253297, "path": "Publication:sorger-2015-litevis", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png" }, { "description": null, "filetitle": "video demonstration", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1120, "preview_image_height": 630, "name": "sorger-2015-litevis-video demonstration.mp4", "type": "video/mp4", "size": 58980955, "path": "Publication:sorger-2015-litevis", "preview_name": "sorger-2015-litevis-video demonstration:preview.png", "preview_type": "image/jpeg", "preview_size": 52277, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:video.mp4" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/", "__class": "Publication" }, { "id": "sorger-2015-taxintec", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Taxonomy of Integration Techniques for Spatial and Non-Spatial Visualizations", "date": "2015-10", "abstract": "Research on visual data representations is traditionally classified into methods assuming an inherent mapping from data values to spatial coordinates (scientific visualization and real-time rendering) and methods for abstract data lacking explicit spatial references (information visualization). In practice, however, many applications need to analyze data comprising abstract and spatial information, thereby spanning both visualization domains. Traditional classification schemes do not support a formal description of these integrated systems. The contribution of this paper is a taxonomy that describes a holistic design space for integrating components of spatial and abstract visualizations. We structure a visualization into three components: Data, Visual, and Navigation. These components can be linked to build integrated visualizations. Our taxonomy provides an alternative view on the field of visualization in a time where the border between scientific and information visualization becomes blurred.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 541, "image_height": 393, "name": "sorger-2015-taxintec-teaser.png", "type": "image/png", "size": 23806, "path": "Publication:sorger-2015-taxintec", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072, 1277, 451, 205, 166 ], "booktitle": "20th International Symposium on Vision, Modeling and Visualization (VMV 2015)", "date_from": "2015-10-07", "date_to": "2015-10-10", "editor": "David Bommes and Tobias Ritschel and Thomas Schultz", "issn": "0302-9743", "lecturer": [ 1072 ], "location": "Aachen, Germany", "publisher": "The Eurographics Association", "series": "Springer Lecture Notes in Computer Science (LNCS) series", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sorger-2015-taxintec-paper.pdf", "type": "application/pdf", "size": 456732, "path": "Publication:sorger-2015-taxintec", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 541, "image_height": 393, "name": "sorger-2015-taxintec-teaser.png", "type": "image/png", "size": 23806, "path": "Publication:sorger-2015-taxintec", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/", "__class": "Publication" }, { "id": "sorger-2017-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Integration Strategies in the Visualization of Multifaceted Spatial Data", "date": "2017-09-26", "abstract": "Visualization designers have several visual channels at their disposal for encoding data into visual representations, e.g., position, size, shape, orientation, color, texture, brightness, as well as motion. The mapping of attributes to visual channels can be chosen by the designer. In theory, any data attribute can be represented by any of these visual channels or by a combination of multiple of these channels. In practice, the optimal mapping and the most suitable type of visualization strongly depend on the data as well as on the user's task. In the visualization of spatial data, the mapping of spatial attributes to visual channels is inherently given by the data. Multifaceted spatial data possesses a wide range of additional (non-spatial) attributes without a given mapping. The data's given spatial context is often important for successfully fulfilling a task. The design space in spatial data visualization can therefore be heavily constrained when trying to choose an optimal mapping for other attributes within the spatial context. To solve an exploration or presentation task in the domain of multifaceted spatial data, special strategies have to be employed in order to integrate the essential information from the various data facets in an appropriate representation form with the spatial context.\nThis thesis explores visualization integration strategies for multifaceted spatial data. The first part of this thesis describes the design space of integration in terms of two aspects: visual and functional integration. Visual integration describes how representations of the different data facets can be visually composed within a spatial context. Functional integration, describes how events that have been triggered, for instance, through user interaction, can be coordinated across the various visually integrated representations.\nThe second part of this thesis describes contributions to the field of visualization in the context of concrete integration applications for exploration and presentation scenarios. The first scenario addresses a set of challenges in the exploratory analysis of multifaceted spatial data in the scope of a decision making scenario in lighting design. The user's task is to find an optimal lighting solution among dozens or even hundreds of potential candidates. In the scope of a design study, the challenges in lighting design are addressed with LiteVis, a system that integrates representations of the simulation parameter space with representations of all relevant aspects of the simulation output. The integration of these heterogeneous aspects together with a novel ranking visualization are thereby the key to enabling an efficient exploration and comparison of lighting parametrizations.\nIn presentation scenarios, the generation of insights often cannot rely on user interaction and therefore needs a different approach. The challenge is to generate visually appealing, yet information-rich representations for mainly passive observation. In this context, this thesis addresses two different challenges in the domain of molecular visualization. The first challenge concerns the conveying of relations between two different representations of a molecular data set, such as a virus. The relation is established via animated transitions - a temporal form of integration between two representations. The proposed solution features a novel technique for creating such transitions that are re-usable for different data sets, and can be combined in a modular fashion. \nAnother challenge in presentation scenarios of multifaceted spatial data concerns the presentation of the transition between development states of molecular models, where the actual biochemical process of the transition is not exactly known or it is too complex to represent. A novel technique applies a continuous abstraction of both model representations to a level of detail at which the relationship between them can be accurately conveyed, in order to overcome a potential indication of false relationship information. Integration thereby brings the different abstraction levels and the different model states into relation with each other. The results of this thesis clearly demonstrate that integration is a versatile tool in overcoming key challenges in the visualization of multifaceted spatial data.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1768, "image_height": 1186, "name": "sorger-2017-thesis-overview.png", "type": "image/png", "size": 836988, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1072 ], "co_supervisor": [ 166 ], "date_end": "2017", "date_start": "2013", "reviewer_1": [ 196 ], "reviewer_2": [ 1248 ], "rigorosum": "2017-11-22", "supervisor": [ 171 ], "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1768, "image_height": 1186, "name": "sorger-2017-thesis-overview.png", "type": "image/png", "size": 836988, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sorger-2017-thesis-thesis.pdf", "type": "application/pdf", "size": 48970349, "path": "Publication:sorger-2017-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/", "__class": "Publication" }, { "id": "Spechtenhauser_Florian_2016", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visual Analytics for Rule-Based Quality Management of Multivariate Data", "date": "2016-08", "abstract": "Ensuring an appropriate data quality is a critical topic when analyzing the ever increasing amounts of data collected and generated in today’s world. Depending on the given task, even sophisticated analysis methods may cause misleading results due to an insufficient quality of the data set at hand. In this case, automated plausibility checks based on defined rules are frequently used to detect data problems such as missing data or anomalies.\nHowever, defining such rules and using their results for an efficient data quality\nassessment is a challenging topic. Visualization is powerful to reveal unexpected problems in the data, and can additionally be used to validate results of applied automated plausibility checks. Visual Analytics closes the gap between automated data analysis and visualization by providing means to guide the definition and optimization of plausibility checks in order to use them for a continuous detection and validation of problems detected in the data.\nThis diploma thesis provides a design study of a Visual Analytics approach, called Data Quality Overview, which provides a detailed, yet scalable summary of the results of defined plausibility checks, and includes means for validation and investigation of these results at various levels of detail. The approach is based on a detailed task analysis of\ndata quality assessment, and is validated using a case study based on sensor data from the energy sector in addition to feedback collected from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1094 ], "date_end": "2016-08", "date_start": "2015", "matrikelnr": "0826226", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 549, "image_height": 522, "name": "Spechtenhauser_Florian_2016-image.jpg", "type": "image/jpeg", "size": 60977, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Spechtenhauser_Florian_2016-thesis.pdf", "type": "application/pdf", "size": 15688971, "path": "Publication:Spechtenhauser_Florian_2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/", "__class": "Publication" }, { "id": "STEINLECHNER-2019-APS", "type_id": "inproceedings", "tu_id": 283267, "repositum_id": null, "title": "Adaptive Point-cloud Segmentation for Assisted Interactions", "date": "2019-05", "abstract": "In this work, we propose an interaction-driven approach streamlined to\nsupport and improve a wide range of real-time 2D interaction metaphors\nfor arbitrarily large pointclouds based on detected primitive shapes.\nRather than performing shape detection as a costly pre-processing step\non the entire point cloud at once, a user-controlled interaction\ndetermines the region that is to be segmented next. By keeping the size\nof the region and the number of points small, the algorithm produces\nmeaningful results and therefore feedback on the local geometry within a\nfraction of a second. We can apply these finding for improved picking\nand selection metaphors in large point clouds, and propose further novel\nshape-assisted interactions that utilize this local semantic information\nto improve the user’s workflow.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1573, "image_height": 588, "name": "STEINLECHNER-2019-APS-teaser.PNG", "type": "image/png", "size": 1889379, "path": "Publication:STEINLECHNER-2019-APS", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1387, 1539, 678, 1640, 1002, 228, 193 ], "booktitle": "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games", "cfp": { "name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "type": "application/pdf", "error": "0", "size": "31008", "orig_name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf", "ext": "pdf" }, "date_from": "2019-05-21", "date_to": "2019-05-23", "doi": "10.1145/3306131.3317023", "editor": "Blenkhorn, Ari Rapkin", "event": "33rd Symposium on Interactive 3D Graphics and Games", "isbn": "978-1-4503-6310-5", "lecturer": [ 1387 ], "location": "Montreal, Quebec, Canada", "pages_from": "14:1", "pages_to": "14:9", "publisher": "ACM", "series": "I3D ’19", "research_areas": [ "Rendering" ], "keywords": [ "Pointcloud Segmentation", "Shape Detection", "Interactive Editing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STEINLECHNER-2019-APS-draft.pdf", "type": "application/pdf", "size": 19929621, "path": "Publication:STEINLECHNER-2019-APS", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-draft:thumb{{size}}.png" }, { "description": "Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1573, "image_height": 588, "name": "STEINLECHNER-2019-APS-teaser.PNG", "type": "image/png", "size": 1889379, "path": "Publication:STEINLECHNER-2019-APS", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/", "__class": "Publication" }, { "id": "STEINLECHNER-2019-ICT", "type_id": "inproceedings", "tu_id": 283451, "repositum_id": null, "title": "A Novel Approach for Immediate, Interactive CT Data Visualization andEvaluation using GPU-based Segmentation and Visual Analysis", "date": "2019-02", "abstract": "CT data of industrially produced cast metal parts are often afflicted\nwith artefacts due to complex geometries ill-suited for the scanning\nprocess. Simple global threshold-based porosity detection algorithms\nusually fail to deliver meaningful results. Other adaptive methods can\nhandle image artefacts, but require long preprocessing times. This makes\nan efficient analysis workflow infeasible. We propose an alternative\napproach for analyzing and visualizing volume defects in a fully\ninteractive manner, where analyzing volumes becomes more of an\ninteractive exploration instead of time-consuming parameter guessing\ninterrupted by long processing times. Our system is based on a highly\nefficient GPU implementation of a segmentation algorithm for porosity\ndetection. The runtime is on the order of seconds for a full volume and\nparametrization is kept simple due to a single threshold parameter. A\nfully interactive user interface comprised of multiple linked views\nallows to quickly identify defects of interest, while filtering out\nartefacts even in noisy areas.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 1011, "name": "STEINLECHNER-2019-ICT-teaser.png", "type": "image/png", "size": 791896, "path": "Publication:STEINLECHNER-2019-ICT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1387, 1640, 1641, 1642, 228, 678, 166 ], "booktitle": "International Conference on Industrial Computed Tomography (ICT) 2019", "cfp": { "name": "ICT 2019 call for papers.pdf", "type": "application/pdf", "error": "0", "size": "219852", "orig_name": "ICT 2019 call for papers.pdf", "ext": "pdf" }, "date_from": "2019-02-13", "date_to": "2019-02-15", "editor": "Simone Carmignato", "event": "International Conference on Industrial Computed Tomography (ICT) 2019", "lecturer": [ 1387 ], "location": "Padova, Italy", "pages_from": "1", "pages_to": "6", "research_areas": [ "InfoVis", "Rendering" ], "keywords": [ "CT", "GPU", "Inclusion Detection", "Interactive Visualisation", "VisualAnalysis", "Parallel Coordinates", "Volume Rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STEINLECHNER-2019-ICT-draft.pdf", "type": "application/pdf", "size": 9584761, "path": "Publication:STEINLECHNER-2019-ICT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1680, "image_height": 1011, "name": "STEINLECHNER-2019-ICT-teaser.png", "type": "image/png", "size": 791896, "path": "Publication:STEINLECHNER-2019-ICT", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/", "__class": "Publication" }, { "id": "STREICHER-2022-DSLS", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/78119", "title": "Digital Surveying of Large Scale Multi-Layered Terrain", "date": "2022", "abstract": "Digital terrain surveying is the exploration of terrain reconstructions and quantitative analysis of their properties. Out-of-core techniques, such as terrain streaming, are required to perform surveying on large-scale terrains at interactive frame-rates.The polyline based surveying tool from PRo3D, one of the state-of-the-art solutions for planetary geology, was implemented in our tool Visionary. In PRo3D the polylines are subsampled using fixed-rate subsampling (FRSS) at equidistant points. Our method uses variable-rate subsampling (VRSS) and shared-edge detection (SED) as an improvement that finds exact results when neighbouring primitives are hit. Furthermore, an uncertainty metric On-Data Ratio (ODR) was presented to raise awareness about the uncertainty of these measurements. Visionary was developed in the Unity game engine to evaluate if it is a suitable framework for such a specialized tool. We evaluated our implementation against Pro3D.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 362, "image_height": 224, "name": "STREICHER-2022-DSLS-image.png", "type": "image/png", "size": 96771, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1105 ], "co_supervisor": [ 237 ], "date_end": "2022-10-11", "date_start": "2016-07-16", "diploma_examina": "2022-10-11", "doi": "10.34726/hss.2022.99963", "matrikelnr": "01025890", "open_access": "yes", "pages": "112", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "out-of-core", "digital terrain surveying", "large-scale terrain streaming", "uncertainty" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 362, "image_height": 224, "name": "STREICHER-2022-DSLS-image.png", "type": "image/png", "size": 96771, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STREICHER-2022-DSLS-Master thesis.pdf", "type": "application/pdf", "size": 17831518, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "STREICHER-2022-DSLS-poster.pdf", "type": "application/pdf", "size": 1272458, "path": "Publication:STREICHER-2022-DSLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/", "__class": "Publication" }, { "id": "Szabo-2018-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "A Composable and Reusable Photogrammetric Reconstruction Library", "date": "2018-03", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1002 ], "date_end": "2018-03", "date_start": "2017-10", "matrikelnr": "00925269", "note": "1", "supervisor": [ 228, 190 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": "We identify the\nsame feature in\ntwo images.\nFeatures must\nlook and move\nsimilarly across\nviewpoints.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1240, "image_height": 466, "name": "Szabo-2018-DA-image.png", "type": "image/png", "size": 796141, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Szabo-2018-DA-poster.pdf", "type": "application/pdf", "size": 673550, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Szabo-2018-DA-thesis.pdf", "type": "application/pdf", "size": 10276451, "path": "Publication:Szabo-2018-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/", "__class": "Publication" }, { "id": "Trobec-2008-Heart", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Heart Reinervation after Transplantation", "date": "2008-05", "abstract": "During heart transplantation complete denervation\r\nof allograft occurs. Partial reinnervation may develop after one\r\nyear or later. It can be detected by different methods i.e., iodine-\r\n123-meta-iodobenziylguanidine (MIBG) scintigraphy, positron\r\nemission tomography (PET), heart rate variability (HRV), etc.\r\nWe propose an alternative noninvasive method based on visual\r\ndiagnostics (VD) and supported by a custom developed tool\r\n(ComVis), which enables interactive visual analysis of large\r\ndata sets by exploiting focus and context (simultaneous local\r\nand global view), multiple coordinated views and advanced\r\ninteraction. Measurements of patients with transplanted heart\r\nare rare and valuable, therefore they should be analyzed in all\r\ndetails. Different statistical characteristics and time series from\r\nECG and respiration measurements from fifteen patients and\r\ntwelve healthy controls have been analyzed using the ComVis\r\ntool. MIBG scintigraphy imaging was included, as well. Heart\r\nto mediastinum ratio (HMR) was used as a measure of the ventricular\r\nreinervation. HRV was analyzed to evaluate sinus node\r\nreinnervation. HRV was synchronized on well defined expiration\r\nmoment and analyzed in time-domain.We will describe some new\r\ndiagnostic results or rules that were deduced from interactive\r\nvisual analysis and may help in the future investigation of heart\r\nreinervation.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 763, "image_height": 724, "name": "Trobec-2008-Heart-image.jpg", "type": "image/jpeg", "size": 288905, "path": "Publication:Trobec-2008-Heart", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 761, 235, 762, 764, 765, 766 ], "booktitle": "Proceedings of the MIPRO 2008", "lecturer": [ 761 ], "location": "Opatija, Croatia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 763, "image_height": 724, "name": "Trobec-2008-Heart-image.jpg", "type": "image/jpeg", "size": 288905, "path": "Publication:Trobec-2008-Heart", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Trobec-2008-Heart-paper.pdf", "type": "application/pdf", "size": 1022382, "path": "Publication:Trobec-2008-Heart", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/", "__class": "Publication" }, { "id": "Walch-2017-DA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Lens Flare Prediction based on Measurements with Real-Time Visualization", "date": "2017-03", "abstract": "Lens flare is a visual phenomenon caused by interreflection of light within a lens system.\nThis effect is often undesired, but it gives rendered images a realistic appearance. In the\narea of computer graphics, several simulation based approaches have been presented to\nrender lens flare for a given spherical lens system. An accurate model of the lens system\nand all its components is crucial for a physically reliable result. Since the effect differs\nfrom camera to camera, these methods are not flexible, and the internal parameters –\nespecially the anti-reflection coatings – can only be approximated.\nIn this thesis we present a novel workflow for generating physically plausible renderings\nof lens flare phenomena by analyzing the lens flares captured on a camera. Furthermore,\nour method allows to predict the occurrence of lens flares for a given light setup. This\nis an often requested feature in light planning applications in order to efficiently avoid\nlens flare prone light positioning. A model with a tight parameter set and a GPU-based\nrendering method allows our method to be used in real-time applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 902, "image_height": 602, "name": "Walch-2017-DA-.png", "type": "image/png", "size": 122007, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1494 ], "date_end": "2017", "date_start": "2016", "matrikelnr": "0926780", "supervisor": [ 190 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 902, "image_height": 602, "name": "Walch-2017-DA-.png", "type": "image/png", "size": 122007, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Walch-2017-DA-poster.pdf", "type": "application/pdf", "size": 556129, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Walch-2017-DA-thesis.pdf", "type": "application/pdf", "size": 2171946, "path": "Publication:Walch-2017-DA", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/", "__class": "Publication" }, { "id": "Wimmer_Maria_2015_SAS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Semi-Automatic Spine Labeling on T1- and T2-weighted MRI Volume Data", "date": "2015-01-20", "abstract": "In medical diagnosis, the spine is often a frame of reference and so helps to localize diseases (e.g. tumors) in the human body. Automated spine labeling approaches are in demand, in order\nto replace time consuming, manual labeling by a radiologist. Different approaches have already been proposed in the literature, mainly for Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data. While CT scans exhibit a generalized intensity scale, MR images come with a high variability within the data and hence the tissues. Several factors influence the\nappearance of vertebrae and intervertebral disks in MRI data: different scanners, changes of acquisition parameters, magnetic field inhomogeneities or age-related, structural changes of the\nspinal anatomy. These factors compound the development of semi- and fully automatic spine labeling systems.\n\nThe main goal of this thesis is to overcome these variations and find a generalized representation for different kinds of MR data. Furthermore, it aims for a semi-automatic labeling approach on these preprocessed scans where the user has to provide an initial click. Entropyoptimized Texture Models are applied to normalize the data to a standardized, reduced intensity\nscale.With Probabilistic Boosting Trees, intervertebral disk feature points are detected, whereby the disk center is selected with a Shape Particle Filter.\n\nThe results achieved with the proposed pipeline are promising in terms of data normalization, timing and labeling accuracy. With a mean overall processing time of 6.0 s for normalizing and labeling a dataset (0.8 s per disk), the algorithm achieves a precision of 92.4% (recall = 86.8%). Using a higher resolution of the data for disk detection (average timing of 1.6 s per disk resp. 12.4 s per dataset), reduces the number of missed disk candidates and hence increases the recall to 91.7% (with a precision of 91.9%).", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1137 ], "co_supervisor": [ 231 ], "matrikelnr": "0725248", "supervisor": [ 166, 231 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer_Maria_2015_SAS-Poster.pdf", "type": "application/pdf", "size": 3716053, "path": "Publication:Wimmer_Maria_2015_SAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer_Maria_2015_SAS-Thesis.pdf", "type": "application/pdf", "size": 9305320, "path": "Publication:Wimmer_Maria_2015_SAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/", "__class": "Publication" }, { "id": "Zusag-2017-Bach", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Deep Learning Architectures for vessel Segmentation in 2D and 3D Biomedical Images", "date": "2017-08", "abstract": "The aim of this thesis is to describe deep learning approaches for vessel segmentation in 2 and 3-dimensional biomedical images and the results achieved from these approaches on specific sets of data. The first chapter introduces the objective of this thesis, describes the data, which was used for the training, gives a short overview of machine learning and covers some theoretical aspects of artificial neural networks and especially of convolutional neural networks. The second chapter describes methods that were used for achieving the segmentation in 2 and 3 dimensions, like preprocessing of the images, algorithmic approaches, and general project set-up. The third and final chapter focuses on the results of methods described in chapter 2, contains personal advice for future approaches for improving the algorithm’s results and discusses the results. The thesis provides the theory, code snippets for the most fundamental part of the algorithms’ implementations and shows graphical, as well as numerical results of the approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 481, "image_height": 151, "name": "Zusag-2017-Bach-image.JPG", "type": "image/jpeg", "size": 20848, "path": "Publication:Zusag-2017-Bach", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1486 ], "date_end": "2017", "date_start": "2016", "matrikelnr": "1427881", "supervisor": [ 190 ], "research_areas": [ "IllVis" 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64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png" } ], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/VRVis", "__class": "Project", "workgroup": { "id": "External", "drupal_id": 1357, "name": "Other", "website": "https://www.cg.tuwien.ac.at/group/Other", "projects": [ "LEOPOLD", "VRVis" ], "research_areas": [], "publications": [ "Ahmed-2008-EGVE", "Bauer_Dominik_2018_VR", "Berger_2011_UAE", "brunnhuber-2010-behavior-handicapped", "Cai_2018", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "cornel-2022-wih", "diehl-2013-VTA", "donabauer_2019_1", "Eibner-12", "ERLER-2017-HVR", "Freiler-2008-Set", "Gan-2011-ICU", "Ganuza", "Ganuza-2017-IVCSGM", "heinzl-2008-thesis", "ilcik-2008-sgfa", "Kathi-2018-VRB", 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"Purg2015-d", "purgathofer_2016I1", "Purgathofer-2013-cvws", "Purgathofer-2014-ETH", "Purgathofer-2014-LSM", "Purgathofer-2014-PanEu", "Purgathofer-2014-Rio", "Purgathofer-2015-WA", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "Purgathofer-2018-EG", "Rainer_2017", "reh-2015-areh", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reichinger-2011-Tac", "Reichinger-2016-spaghetti", "Reichinger-2018-TAC", "reisner-2010-1dh", "reisner-2010-ind", "reisner-2011-akgeo", "reisner-2011-comdm", "reisner-2012-iwssip", "SCHOBER-2006-IVSA", "schuetz-2019-CLOD", "schwaerzler_2018_phd", "SCHWAERZLER-2017-SBGM", "Shi_2007_PathLines", "Singh-2008-Metric", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "Szabo-2018-DA", "TRA08", "TRA08b", "traxler-2009-dhm", "Trobec-2008-Heart", "Walch-2017-DA", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=190", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:xmas", "type": "image/png", "size": 315425, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/xmas/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [], "publications": [ { "id": "dvdkouril_xmas_card_2018", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2018", "date": "2018-12", "abstract": "In this Christmas card we introduce a new way of research physicalization. We turned our recent papers into gingerbread cookies!\nOur cookies feature motifs from visualization of multiscale DNA nanostructures, Euler diagrams of expanded queries, levels of expanded bladders due to Glühwein consumption, beautiful smiles thanks to augmented reality, and finally several new technologies for biology communication.\n\nAuf dieser Weihnachtskarte zeigen wir neuartige Forschung im Bereich Physikalisierung. Wir verwandelten unsere aktuellen Publikationen in Lebkuchen.\nUnsere Kekse repräsentieren die multiskalare Visualisierung von DNA Nanostrukturen, Euler Diagramme von erweiterten Such-Abfragen, Pegel von expandierten Harnblasen nach Glühwein-Konsum, durch Augmented Reality verursachtes Lächeln und letztlich mehrere neue Technologien für die Kommunikation von Biologiewissen.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "X-mas card front", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2275, "image_height": 1587, "name": "dvdkouril_xmas_card_2018-X-mas card front.png", "type": "image/png", "size": 7236788, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1615 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "X-mas card front", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2275, "image_height": 1587, "name": "dvdkouril_xmas_card_2018-X-mas card front.png", "type": "image/png", "size": 7236788, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png" }, { "description": null, "filetitle": "X-mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "dvdkouril_xmas_card_2018-X-mas card.pdf", "type": "application/pdf", "size": 62700677, "path": "Publication:dvdkouril_xmas_card_2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/", "__class": "Publication" }, { "id": "freude-2015-xmc", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2015", "date": "2015", "abstract": "This greeting card shows the branch of a Christmas tree which is decorated with a candle as well as the logos of our institute and the TU Wien.\r\nFor a realistic representation of Subsurface Scattering in the candle and the pine needles, a method called Separable Subsurface Scattering was used, which was developed in cooperation with our institute.\r\nThis image was calculated in real time, with the additional use of HDR rendering and depth-of-field. Only the frost effect and the flame of the candle were added later using GIMP.\r\nThe images on the right show additional examples of the used Subsurface Scattering technique.\r\n\r\nDiese Grußkarte zeigt den Ast eines Christbaums welcher mit einer Kerze sowie den Logos des Instituts und der TU Wien dekoriert ist.\r\nUm eine möglichst realistische Darstellung von Subsurface Scattering in der Kerze sowie den Tannennadeln zu erzielen,\r\nwurde eine Methode namens Separable Subsurface Scattering verwendet, welche in Kooperation mit unserem Institut entwickelt wurde.\r\nDieses Bild wurde in Echtzeit berechnet, unter zusätzlicher Verwendung von HDR Rendering und Tiefenunschärfe.\r\nLediglich der Frost-Effekt sowie die Flamme der Kerze wurden nachträglich mittels GIMP hinzugefügt.\r\nDie Bilder auf der rechten Seite zeigen weitere Beispiele der verwendeten Subsurface Scattering Technik.", "authors_et_al": false, "substitute": null, "main_image": { "description": "X-Mas Card 2015", "filetitle": "Image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 1017, "name": "freude-2015-xmc-Image.png", "type": "image/png", "size": 1861057, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128 ], "research_areas": [], "keywords": [ "X-Mas Card" ], "weblinks": [], "files": [ { "description": "X-Mas Card 2015", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2015-xmc-Card.pdf", "type": "application/pdf", "size": 3974053, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card:thumb{{size}}.png" }, { "description": "X-Mas Card 2015", "filetitle": "Image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1440, "image_height": 1017, "name": "freude-2015-xmc-Image.png", "type": "image/png", "size": 1861057, "path": "Publication:freude-2015-xmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/", "__class": "Publication" }, { "id": "Habel_07_xms", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-mas 2007", "date": "2007", "abstract": "Die gezeigte Szene ist mit einer Poisson-gefilterten Shadow Map \ndynamisch beleuchtet und wird mittels DirectX 10 dargestellt. \nDie Tanne besteht aus insgesamt 60.032 teilweise transparenten Dreiecken.\n\nAlle Oberflächen sind mit Normal Maps versehen, \ndie bei der Tanne und dem schneebedeckten Gelände \nmit multi-bounce Ambient Occlusion kombiniert werden. \nEin modifizierter Reinhard Tone Mapper mit Glare-Filter \nsorgt für eine realistische Darstellung bei 60 Bildern pro Sekunde.\n\n\n\nThe shown scene is dynamically lit with a Poisson-filtered shadow map \nand displayed using DirectX 10. The fir tree consists of 60,032 partly transparent triangles. \nAll surfaces are normal mapped, which is combined with multi-bounce ambient occlusion \nfor the fir tree and the snow-covered terrain. \nA modified Reinhard tone mapper with a glare filter realistically displays the scene at 60 frames per second.", "authors_et_al": false, "substitute": null, "main_image": { "description": "xmas card front", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 722, "name": "Habel_07_xms-image.jpg", "type": "image/jpeg", "size": 306325, "path": "Publication:Habel_07_xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618 ], "research_areas": [ "Rendering" ], "keywords": [ "x-mas" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Christmas card", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_07_xms-Christmas card.pdf", "type": "application/pdf", "size": 27810588, "path": "Publication:Habel_07_xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-Christmas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-Christmas card:thumb{{size}}.png" }, { "description": "xmas card front", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 722, "name": "Habel_07_xms-image.jpg", "type": "image/jpeg", "size": 306325, "path": "Publication:Habel_07_xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination", "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/", "__class": "Publication" }, { "id": "ilcik-2021-xmas", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2021", "date": "2021-11-29", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "Front side of the card as an image", "filetitle": "Cover", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2235, "image_height": 1548, "name": "ilcik-2021-xmas-Cover.jpg", "type": "image/jpeg", "size": 614758, "path": "Publication:ilcik-2021-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 1395 ], "research_areas": [ "Modeling" ], "keywords": [ "christmas" ], "weblinks": [ { "href": "https://xmas.cg.tuwien.ac.at/2021/song", "caption": "Music", "description": "Procedural generator of Christmas songs including the tech behind and a few pregenerated samples", "main_file": 1 } ], "files": [ { "description": "Christmas card 2021 (front and back side)", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 2480, "preview_image_height": 3508, "name": "ilcik-2021-xmas-Card.pdf", "type": "application/pdf", "size": 2606680, "path": "Publication:ilcik-2021-xmas", "preview_name": "ilcik-2021-xmas-Card:preview.png", "preview_type": "image/jpeg", "preview_size": 872803, "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Card:thumb{{size}}.png" }, { "description": "Front side of the card as an image", "filetitle": "Cover", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2235, "image_height": 1548, "name": "ilcik-2021-xmas-Cover.jpg", "type": "image/jpeg", "size": 614758, "path": "Publication:ilcik-2021-xmas", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/", "__class": "Publication" }, { "id": "jeschke-2011-xMasCard", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2011", "date": "2011", "abstract": "Happy 2012!", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1807, "image_height": 1310, "name": "jeschke-2011-xMasCard-image.png", "type": "image/png", "size": 1269411, "path": "Publication:jeschke-2011-xMasCard", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1807, "image_height": 1310, "name": "jeschke-2011-xMasCard-image.png", "type": "image/png", "size": 1269411, "path": "Publication:jeschke-2011-xMasCard", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image:thumb{{size}}.png" }, { "description": "", "filetitle": "XMas Card 2011", "main_file": false, "use_in_gallery": false, "access": "public", "name": "jeschke-2011-xMasCard-XMas Card 2011.pdf", "type": "application/pdf", "size": 19294741, "path": "Publication:jeschke-2011-xMasCard", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-XMas Card 2011.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-XMas Card 2011:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/", "__class": "Publication" }, { "id": "kroesl_x_card_2017", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2017", "date": "2017-12", "abstract": "This Christmas we want to illuminate your holidays with luminaires specifically designed for this occasion. The festive scene on this card features semi-translucent luminaires in the shape of christmas trees. The light distribution of the corresponding luminaire model was simulated in LiteMaker,an interactive luminaire development tool that was developed at TU Wien and VRVis. LiteMaker provides interactive editing functionality and very fast high-quality previews of the final physically correct simulated light distribution of a luminaire model. The final scene and light distributions were rendered using our light\nplanning software HILITE.\n\nDie weihnachtliche Szene auf dieser Karte wird durch Leuchten in Form von Christbäumen erhellt. Für das Lichtdesign der Szene wurde LiteMaker verwendet, ein an der TU Wien und am VRVis entwickeltes interaktives Entwicklungswerkzeug fur Beleuchtungskörper. Durch interaktives Bearbeiten, und sehr schnelle aber dennoch hochwertige physikalisch korrekte Vorschaubilder, ermöglicht LiteMaker ein rascheres Design von Beleuchtungskonzepten. Die fertige Szene wurde anschließend in unserer Lichtsimuationssoftware HILITE gerendert.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "X max 2017", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 730, "name": "kroesl_x_card_2017-X max 2017.JPG", "type": "image/jpeg", "size": 83593, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1030, 1116 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "X Mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kroesl_x_card_2017-X Mas card.pdf", "type": "application/pdf", "size": 998745, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card:thumb{{size}}.png" }, { "description": null, "filetitle": "X max 2017", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1030, "image_height": 730, "name": "kroesl_x_card_2017-X max 2017.JPG", "type": "image/jpeg", "size": 83593, "path": "Publication:kroesl_x_card_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/", "__class": "Publication" }, { "id": "mindek-xmas-card-2014", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2014", "date": "2014", "abstract": "This greeting card shows a Christmas preparation scene - the origin of the Christmas tree. Don't feel bad for the tree! In fact, it is happy to bring joy to children and get fancy makeup too. It is just a bit shocked at this moment.\r\nIn the sky we see several constellations. From left, there are Encephalon, Maestros, Pelvis, and Infans. The interpretations of the constellations are created through medical-visualization technology. Even though these constellations have not yet been discovered, they might be one day.\r\n\r\nDiese Grußkarte zeigt eine Weihnachtsvorbereitungsszene - der Ursprung des Weihnachtsbaumes. Sie brauchen den Baum nicht zu bedauern! Tatsächlich ist er froh, Kinder glücklich zu machen und schön geschmückt zu werden. Er ist nur in diesem Moment ein wenig geschockt.\r\nAm Himmel sieht man mehrere Sternzeichen. Von links nach rechts sind das Encephalon, Maestros, Pelvis und Infans. Die Interpretationen wurden durch medizinische Visualisierungen erzeugt. Zwar wurden diese Sternbilder bisher noch nicht entdeckt, das könnte sich aber eines Tages ändern.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 451, "name": "mindek-xmas-card-2014-.png", "type": "image/png", "size": 296141, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 451, "name": "mindek-xmas-card-2014-.png", "type": "image/png", "size": 296141, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-:thumb{{size}}.png" }, { "description": "", "filetitle": "Picture", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1128, "name": "mindek-xmas-card-2014-Picture.png", "type": "image/png", "size": 1615126, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-Picture:thumb{{size}}.png" }, { "description": "", "filetitle": "X-Mas card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-xmas-card-2014-X-Mas card.pdf", "type": "application/pdf", "size": 53097916, "path": "Publication:mindek-xmas-card-2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-X-Mas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-X-Mas card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/", "__class": "Publication" }, { "id": "mindek-xmas-card-2016", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2016", "date": "2016-12", "abstract": "As far as we can tell, the Universe is made of atoms. Or pixels. In any case, this Christmas card celebrates both.\n\nThis year's Christmas tree is decorated with a chain of DNA molecules modeled as a spline populated by nucleotides. Several macromolecules of Fibrinogen, Hemoglobin, and Low-Density Lipoprotein are used as decorations as well. All the proteins, as well as the DNA, are modeled down to atomic resolution. The scene is rendered in real-time using cellVIEW - a molecular visualization framework developed at TU Wien and Scripps Research Institute.\n\n***\n\nSoweit wir wissen besteht das Universum aus Atomen. Oder Pixel. Wie auch immer, diese Weihnachtskarte feiert beides.\n\nDer Weihnachtsbaum ist mit einer DNA-Molekülkette geschmückt, modelliert als ein Spline der mit Nukleotiden besetzt ist. Auch mehrere Fibrinogen-, Hämoglobin- und Lipoprotein-Makromoleküle wurden als Dekorationen verwendet. Alle Proteine, als auch die DNA, sind bis auf Atomauflösung modelliert. Die Szene wurde mit cellVIEW in Echtzeit gerendert. cellVIEW ist eine Visualisierungssoftware für Moleküle, die an der TU Wien und dem Scripps Research Institute entwickelt wurde.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1260, 935 ], "research_areas": [ "BioVis", "IllVis", "Modeling", "Rendering" ], "keywords": [ "Molecular Visualization", "DNA", "Proteins" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Picture", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 3366, "image_height": 2345, "name": "mindek-xmas-card-2016-Picture.png", "type": "image/png", "size": 7197771, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png" }, { "description": null, "filetitle": "X-Mas Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-xmas-card-2016-X-Mas Card.pdf", "type": "application/pdf", "size": 24934677, "path": "Publication:mindek-xmas-card-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2019-xms", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2019", "date": "2019", "abstract": "See right for correct solution of our connect-the-dots game :-)\nOf course, we not only reconstruct members of our institute but also\nhighly noisy point clouds, additionally denoise the reconstruction,\nand specify the minimum number of samples required for that.\nEduard Gröller\nSee here for the mystery present in the crib: youtu.be/-oVwXaaJNtY\n\nDie Auflösung unseres Punkte-verbinden-Spiels ist hier rechts :-)\nWir rekonstruieren nicht nur Institutsmitglieder, sondern auch\nstark verrauschte Punktewolken, entfernen das Rauschen\nund berechnen die Mindestanzahl der benötigten Messpunkte.\nHier ist das Geschenk in der Krippe zu sehen: youtu.be/-oVwXaaJNtY", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1368, "image_height": 975, "name": "ohrhallinger_stefan-2019-xms-image.png", "type": "image/png", "size": 701936, "path": "Publication:ohrhallinger_stefan-2019-xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1013 ], "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1368, "image_height": 975, "name": "ohrhallinger_stefan-2019-xms-image.png", "type": "image/png", "size": 701936, "path": "Publication:ohrhallinger_stefan-2019-xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image:thumb{{size}}.png" }, { "description": null, "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2019-xms-pdf.pdf", "type": "application/pdf", "size": 1274436, "path": "Publication:ohrhallinger_stefan-2019-xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/", "__class": "Publication" }, { "id": "Rau08", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2008", "date": "2008", "abstract": "THE X-MAS MOSAIC\n\nThe mosaic of a Christmas tree on the front was created using images from our publication database:\nhttp://www.cg.tuwien.ac.at/research/publications/\n\nThe mosaic on the backside of the card consists of the Christmas cards of the previous 15 years and of this year’s motif.\n\nDAS WEIHNACHTSMOSAIK\n\nDas Mosaik auf der Vorderseite zeigt einen Weihnachtsbaum, der aus Bildern unserer Publikationsdatenbank zusammengesetzt ist:\nhttp://www.cg.tuwien.ac.at/research/publications/\n\nDas Mosaik auf der Rückseite setzt sich aus den Weihnachtskarten der vergangenen 15 Jahre und aus dem diesjährigen Motiv zusammen.", "authors_et_al": false, "substitute": null, "main_image": { "description": "X-Mas Card 2008 Frontpage", "filetitle": "X-Mas Card 2008 Frontpage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 729, "name": "Rau08-X-Mas Card 2008 Frontpage.jpg", "type": "image/jpeg", "size": 131308, "path": "Publication:Rau08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488 ], "research_areas": [], "keywords": [], "weblinks": [], "files": { "0": { "description": "The X-Mas Card", "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rau08-card.pdf", "type": "application/pdf", "size": 2077553, "path": "Publication:Rau08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-card:thumb{{size}}.png" }, "2": { "description": "X-Mas Card 2008 Frontpage", "filetitle": "X-Mas Card 2008 Frontpage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 729, "name": "Rau08-X-Mas Card 2008 Frontpage.jpg", "type": "image/jpeg", "size": 131308, "path": "Publication:Rau08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage:thumb{{size}}.png" } }, "projects_workgroups": [ "vis", "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/", "__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": "x-mas-2013", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2013", "date": "2013", "abstract": "With our Season’s Greetings we are sending you an \nautomatically generated brochure that provides \nrouting information for several of Vienna’s Christ-\nmas markets. In the middle you can see an overview \nmap that provides approximate locations as well as \nrouting information. Around the map you can see \nso-called ‘detail lenses’ that provide more exact \nmaps and routing as well as names and photographs.\nAll elements are arranged using a binary integer \nprogram (BIP), whose goal is the positioning of the \ndetail lenses as close as possible to their correspond-\ning markers in the overview map.", "authors_et_al": false, "substitute": null, "main_image": { "description": "x-card 2013", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2480, "image_height": 1753, "name": "x-mas-2013-image.png", "type": "image/png", "size": 7535044, "path": "Publication:x-mas-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844 ], "research_areas": [ "Rendering" ], "keywords": [ "x-mas card" ], "weblinks": [], "files": [ { "description": "x-card", "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "x-mas-2013-card.pdf", "type": "application/pdf", "size": 15439799, "path": "Publication:x-mas-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-card:thumb{{size}}.png" }, { "description": "x-card 2013", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2480, "image_height": 1753, "name": "x-mas-2013-image.png", "type": "image/png", "size": 7535044, "path": "Publication:x-mas-2013", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/", "__class": "Publication" }, { "id": "xmas-1993", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1993", "date": "1993", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 579, "name": "xmas-1993-image.tiff", "type": "image/tiff", "size": 96914, "path": "Publication:xmas-1993", "url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 599 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 579, "name": "xmas-1993-image.tiff", "type": "image/tiff", "size": 96914, "path": "Publication:xmas-1993", "url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/", "__class": "Publication" }, { "id": "xmas-1994", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1994", "date": "1994", "abstract": "This picture was modelled with L-Systems and rendered by FLIRT, one of the research raytracers developed at the institute at the beginning of the 1990s.\r\nCreator of this image was Chris Traxler, who implemented the cyclic graph c apabilities necessary for the display of grammar-based objects.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "xmas-1994-image.jpg", "type": "image/jpeg", "size": 184965, "path": "Publication:xmas-1994", "url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 237 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "xmas-1994-image.jpg", "type": "image/jpeg", "size": 184965, "path": "Publication:xmas-1994", "url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/", "__class": "Publication" }, { "id": "xmas-1995", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1995", "date": "1995", "abstract": "This picture was modelled with L-Systems and rendered by FLIRT, one of the research raytracers developed at the institute at the beginning of the 1990s.\nCreator of this image was Chris Traxler, who implemented the cyclic graph c apabilities necessary for the display of grammar-based objects.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 720, "name": "xmas-1995-image.tiff", "type": "image/tiff", "size": 743210, "path": "Publication:xmas-1995", "url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 237 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 720, "name": "xmas-1995-image.tiff", "type": "image/tiff", "size": 743210, "path": "Publication:xmas-1995", "url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/", "__class": "Publication" }, { "id": "xmas-1996", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1996", "date": "1996", "abstract": "Die Weihnachtsmänner wurden mit kommerzieller 3D-Software und der Hintergrund mit am Institut entwickelter Stereogramm-Software berechnet. Betrachten Sie den Bildschirm aus etwa 20-30 cm Entfernung, und versuchen Sie, unfokussiert mit entspannten Augen \"durch\" den Schirm hindurchzuschauen. Nach einiger Zeit stellen sich Ihre Augen scharf, und Sie sollten die Weihnachts-männer im Raum schweben sehen. Versuchen Sie dann auch das 3D-Bild im Hintergrund zu erkennen!\n\nThe image was rendered using commercial software for the Santas and in-house developed stereogram software for the background. View the picture from a distance of 20-30 cms (approx. 10\") and try to look \"through\" the screen, letting your eyes focus slowly. After a while you should be able to see the Santas floating in front of the screen. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 768, "image_height": 531, "name": "xmas-1996-image.tiff", "type": "image/tiff", "size": 1157950, "path": "Publication:xmas-1996", "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 204 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 768, "image_height": 531, "name": "xmas-1996-image.tiff", "type": "image/tiff", "size": 1157950, "path": "Publication:xmas-1996", "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image:thumb{{size}}.png" }, { "description": null, "filetitle": "one head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 150, "name": "xmas-1996-one head.gif", "type": "image/gif", "size": 27120, "path": "Publication:xmas-1996", "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-one head.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-one head:thumb{{size}}.png" }, { "description": null, "filetitle": "santa klex", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 656, "image_height": 850, "name": "xmas-1996-santa klex.jpg", "type": "image/jpeg", "size": 76197, "path": "Publication:xmas-1996", "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-santa klex.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-santa klex:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/", "__class": "Publication" }, { "id": "xmas-1997", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1997", "date": "1997", "abstract": "This image was rendered with the ray tracer of ART, the Advanced Rendering Toolkit, a software package for rendering realistic images developed at the Institute of Computer Graphics. ART includes multiple rendering technologies and is intended as a development platform for research in global illumination.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1152, "image_height": 1536, "name": "xmas-1997-image.png", "type": "image/png", "size": 2374388, "path": "Publication:xmas-1997", "url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 192 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1152, "image_height": 1536, "name": "xmas-1997-image.png", "type": "image/png", "size": 2374388, "path": "Publication:xmas-1997", "url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/", "__class": "Publication" }, { "id": "xmas-1998", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1998", "date": "1998", "abstract": "Die Schneeflocken wurden mit ART (Advanced Rendering Toolkit), einem am Institut fur Computergraphik entwickelten Programmsystem zur Berechnung von realistischen Bildern, erzeugt. Als Vorlage dienten Photos von echten Schneeflocken. Die sichtbaren Farbeffekte entstehen durch physikalisch korrekte Simulation der Lichtbrechung. Dieses Bild ist auch in seiner vollen Auflösung von 1536x1024 im von Greg Larson et al. eingeführten TIFF LogLuv-Format zum Download bereit (es unterstützen leider erst sehr wenige Programme diese Erweiterung des TIFF-Formates).\r\n\r\nThis image was rendered with the spectral ray tracer of ART, the Advanced Rendering Toolkit, a software package for rendering realistic images developed at the Institute of Computer Graphics. The snowflakes have been modelled based on photos of real snowflakes. The colour effects are due to the use of a physically correct simulation of light dispersion. You can also download this image in the high dynamic range TIFF LogLuv image format developed by Greg Larson et al. in full 1536x1024 resolution here (note that most programs are not yet able to view this extension to the TIFF format).", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1536, "image_height": 1024, "name": "xmas-1998-image.png", "type": "image/png", "size": 2616280, "path": "Publication:xmas-1998", "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 192 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1536, "image_height": 1024, "name": "xmas-1998-image.png", "type": "image/png", "size": 2616280, "path": "Publication:xmas-1998", "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image:thumb{{size}}.png" }, { "description": "", "filetitle": "LogLuv", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1536, "image_height": 1024, "name": "xmas-1998-LogLuv.tiff", "type": "image/tiff", "size": 3084876, "path": "Publication:xmas-1998", "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-LogLuv.tiff", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-LogLuv:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/", "__class": "Publication" }, { "id": "xmas-1999", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 1999", "date": "1999", "abstract": "Das Bild zeigt die Mitarbeiter des Instituts für Computergraphik unter der Leitung von Prof. Mutzel und Prof. Purgathofer im Hof des neuen Informatik-Gebäudes in Wien.\r\n\r\nThe image shows the members of the Institute of Computer Graphics headed by Prof. Mutzel and Prof. Purgathofer in the court of the new computer science building in Vienna.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1359, "image_height": 1400, "name": "xmas-1999-image.jpg", "type": "image/jpeg", "size": 352212, "path": "Publication:xmas-1999", "url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 216 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1359, "image_height": 1400, "name": "xmas-1999-image.jpg", "type": "image/jpeg", "size": 352212, "path": "Publication:xmas-1999", "url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/", "__class": "Publication" }, { "id": "xmas-2000", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2000", "date": "2000", "abstract": "The cover shows a fantasy scene using the data of a real steam locomotive (the former Austrian type 310) modelled by Katharina Weislein. The image was rendered with ART (Advanced Rendering Toolkit).", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 743, "image_height": 512, "name": "xmas-2000-image.jpg", "type": "image/jpeg", "size": 42495, "path": "Publication:xmas-2000", "url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 600 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 743, "image_height": 512, "name": "xmas-2000-image.jpg", "type": "image/jpeg", "size": 42495, "path": "Publication:xmas-2000", "url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/", "__class": "Publication" }, { "id": "xmas-2001", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2001", "date": "2001", "abstract": "This picture shows a volume rendering visualization of a CT-Scan of a real world christmas tree. Created by the Vis-Group in cooperation with the general hospital vienna.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 512, "name": "xmas-2001-image.jpg", "type": "image/jpeg", "size": 56879, "path": "Publication:xmas-2001", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Video of the CT image using several visualization techniques.", "filetitle": "Animation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "xmas-2001-Animation.avi", "type": "video/x-msvideo", "size": 75156488, "path": "Publication:xmas-2001", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-Animation.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-Animation:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-Animation:video.mp4" }, { "description": "Top row, left to right: marching cubes, rendering based on the \"Bubble model\", and maximum intensity projection.\nBottom row: ray casting, surface-based real-time rendering, and ray tracing.", "filetitle": "back", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 728, "image_height": 512, "name": "xmas-2001-back.jpg", "type": "image/jpeg", "size": 77739, "path": "Publication:xmas-2001", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-back.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-back:thumb{{size}}.png" }, { "description": "The cover images show a 512x512x999 CT-scan of a Christmas tree displayed with various volume-rendering techniques. Two-level volume rendering: x-ray simulation with surface display.\nThe image border decoration shows a curved-planar reformation (a technique for vessel-investigation) of the tree branches.", "filetitle": "front", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 728, "image_height": 512, "name": "xmas-2001-front.jpg", "type": "image/jpeg", "size": 56879, "path": "Publication:xmas-2001", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-front.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-front:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 728, "image_height": 512, "name": "xmas-2001-image.jpg", "type": "image/jpeg", "size": 56879, "path": "Publication:xmas-2001", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image:thumb{{size}}.png" }, { "description": null, "filetitle": "photo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2048, "image_height": 1536, "name": "xmas-2001-photo.jpg", "type": "image/jpeg", "size": 663665, "path": "Publication:xmas-2001", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-photo.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-photo:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/", "__class": "Publication" }, { "id": "xmas-2002", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2002", "date": "2002", "abstract": "Der Blick auf Wien wurde Hartmann Schedels Weltchronik (1493) entnommen.\r\n\r\nDas Motiv \"Die Könige folgen dem Stern\" findet sich im Atlas Catalan der Bibliothèque Nationale de France (14. Jahrhundert). Es wurde für die Karte etwas überarbeitet.\r\n\r\nDie drei Buchstaben stehen für die Initialen der Magoi (gr.: Meister).\r\n\r\nDer Himmel basiert auf einem Screenshot von VRMoSS, dem Virtual Reality Model of the Solar System, entwickelt für das EU-Projekt \"ASH\" (http://www.ashproject.org, jetzt http://www.virtualcontrolroom.org). Es stellt den Blick auf den abendlichen Westhimmel im November des Jahres 7 v.u.Z. dar, an dem eine Konjunktion von Jupiter (Königsstern der chaldäischen Astrologie) und Saturn (Stern der Juden) vor dem Hintergrund der Fische (der Region Palästina zugeordnet) sichtbar war. Dieses Ereignis ist eine der besten natürlichen Erklärungen für den Biblischen \"Stern der Weisen\". Die Planeten sind stark vergrößert dargestellt. Der Lichtkegel des Zodiakallichts (an interplanetarem Staub gestreutes Sonnenlicht) wurde während der Nachbearbeitung eingefügt.\r\n\r\nDas Gesamtbild wurde mit GIMP, dem freien GNU Image Manipulation Programm, erstellt. \r\n\r\nIdee, Materialien: Attila Neumann, Georg Zotti, Alexander Wilkie und andere.\r\nVRMoSS, Ausführung: Georg Zotti (2002) \r\n\r\n\r\nThe lower part of the image is a woodcut of Vienna taken from Hartmann Schedel's Chronicle Of The World (1493).\r\n\r\nThe image \"The Kings Follow the Star\" was taken from the Atlas Catalan, Bibliothèque Nationale de France (14th Century) and slightly modified. According to central European tradition, one of the kings was a Moor.\r\n\r\nThe three letters represent the initials of the Magi (gr.: Master).\r\n\r\nThe sky image is a screenshot from VRMoSS (Virtual Reality Model of the Solar System), developed at our institute for the EU project \"ASH\" (http://www.ashproject.org, now http://www.virtualcontrolroom.org). It represents the evening sky of mid-November of the year 7 B.C.E., showing the close conjunction of Jupiter (star of the kings in Chaldean astrology) and Saturn (star of the Jews) - both greatly enlarged - in the constellation of Pisces (the fishes; related to Palestine), which is one of the best natural explanations of the biblical story of the star followed by the magi (\"wise men\" or \"kings\"). The light cone of the Zodiacal Light (sunlight reflected by dust in the Solar System) has been added during the postprocessing.\r\n\r\nThe image has been composed with GIMP, the free GNU Image Manipulation Program.\r\n\r\nIdea, material: Attila Neumann, Georg Zotti, Alexander Wilkie, and others.\r\nVRMoSS, artwork: Georg Zotti (2002) ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 995, "name": "xmas-2002-image.tif", "type": "image/tiff", "size": 2032078, "path": "Publication:xmas-2002", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image.tif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 232, 192 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 995, "name": "xmas-2002-image.tif", "type": "image/tiff", "size": 2032078, "path": "Publication:xmas-2002", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image.tif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/", "__class": "Publication" }, { "id": "xmas-2003", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2003", "date": "2003", "abstract": "25 Jahre Computergraphik an der TU Wien\r\n\r\nGeschichte ist eng mit Personen verbunden. Die Geschichte der Computergraphik an der Technischen Universität Wien begann unabhängig voneinander an zwei Instituten. In beiden Fällen entstanden die ersten Diplomarbeiten im Jahr 1978. Eine Initiative begann mit Johann Weiß, der sich mit dem Tracken von Lichtstiften beschäftigte, und Georg Stonawski, der eine Diplomarbeit über GKS schrieb. Die zweite Initiative kam von Prof. Wilhelm Barth, der die zwei Diplomanden Emanuel Wenger und Edwin Scherzer die Programmiersprache Pascal um graphische Elemente erweitern ließ. Im Jahr 1980 begann Werner Purgathofer zusammen mit einigen anderen bei Prof. Barth als Assistent und schloss 1984 seine Dissertation ab. Anschließend baute er zusammen mit Michael Gervautz und anderen eine Computergraphik-Arbeitsgruppe auf, die hauptsächlich im Bereich Rendering aktiv war. Als Werner Purgathofer 1988 Professor wurde, stellte er M. Eduard Gröller ein, der die Arbeitsgruppe für Visualisierung gründete. 1990 wurde das Institut in \"Institut für Computergraphik\" umbenannt, 1991 organisierte die Gruppe die Jahrestagung der Eurographics in der Wiener Hofburg. Bald danach begann Michael Gervautz im Bereich Virtual Reality zu forschen, woraufhin er 1998 die Spinoff-Firma \"Imagination\" gründete und Dieter Schmalstieg die Leitung der Virtual Reality-Gruppe übernahm. Anfang 2000 gründete das Institut zusammen mit anderen ein Kompetenzzentrum für Virtual Reality und Visualisierung (VRVis), in dem jetzt Georg Stonawski Geschäftsführer und Helwig Hauser wissenschaftlicher Direktor sind. Nach diesen 25 Jahren arbeiten heute in Wien mehr als 100 Personen im Bereich innovativer Computergraphik.\r\n\r\nDie Karte wurde unter Verwendung von Adobe Illustrator und Photoshop auf einem Apple iBook produziert. Für die Farbkalibration des bei der Herstellung der physischen Karten verwendeten Druckers wurde die Software ProfileMaker von Gretag Macbeth verwendet.\r\n\r\nIdee: Werner Purgathofer\r\nBilder: Der Meister, Emanuel Wenger, Michael Gervautz, Robert F. Tobler, Michael Feda, Christoph Traxler, Michael Wimmer, Alexander Wilkie, Helwig Hauser, Anton L. Fuhrmann und das Kollektiv der Visualisierungsgruppe\r\nHerstellung: Alexander Wilkie \r\n\r\n\r\n25 Years of Computer Graphics at the TU Vienna\r\n\r\nHistory is strongly connected to people. The history of Computer Graphics at the Vienna University of Technology began independently at two institutes. In both cases the first diploma theses were written in 1978. One initiative was started by Johann Weiss, who implemented the tracking of a light pen, and Georg Stonawski, who wrote a thesis about GKS. The second initiative was by Prof. Wilhelm Barth, who worked with the two diploma students Emanuel Wenger and Edwin Scherzer on extending the programming language Pascal with graphical elements. Amongst others, Werner Purgathofer started to work as an assistant of Prof. Barth in 1980, and finished his PhD in 1984. Together with Michael Gervautz and other colleagues, he then built up a Computer Graphics group that was active mainly in the area of Rendering. When Werner Purgathofer became Professor in 1988, he employed M. Eduard Gröller, who in turn founded a Visualisation research group. In 1990 the institute was renamed to \"Institute of Computer Graphics\", in 1991 the group organized the annual Eurographics conference in the Vienna Hofburg. Soon after that, Michael Gervautz started research in the area of Virtual Reality, which led to the founding of the spin-off company \"Imagination\" in 1998. Since then, the Virtual Reality group was led by Dieter Schmalstieg. Together with others, the institute created a competence center for Virtual Reality and Visualisation (VRVis) in January 2000, of which Georg Stonawski is the CEO and Helwig Hauser is the scientific director. After these 25 years, there are now more than 100 people in Vienna working in the field of innovative Computer Graphics.\r\n\r\nThe card was produced using Adobe Illustrator and Photoshop on an Apple iBook. The colour calibration of the printer used for the production of the pysical cards was performed using Gretag Macbeth ProfileMaker software.\r\n\r\nIdea: Werner Purgathofer\r\nImages by: The Master, Emanuel Wenger, Michael Gervautz, Robert F. Tobler, Michael Feda, Christoph Traxler, Michael Wimmer, Alexander Wilkie, Helwig Hauser, Anton L. Fuhrmann and the collective of the Visualisation group\r\nProduction: Alexander Wilkie ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1596, "image_height": 1161, "name": "xmas-2003-image.jpg", "type": "image/jpeg", "size": 1378684, "path": "Publication:xmas-2003", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190, 192 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1596, "image_height": 1161, "name": "xmas-2003-image.jpg", "type": "image/jpeg", "size": 1378684, "path": "Publication:xmas-2003", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/", "__class": "Publication" }, { "id": "xmas-2004", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2004", "date": "2004", "abstract": "THE X-MAS GECKO\r\n\r\nThe image was created in one pass using direct multi-volume rendering of a single scene consisting of three different datasets. Only the eyes were added using 2D image processing.\r\n\r\nThe hat dataset is a distance field computed from a geometric model. The beard has been created by sculpting 3D Perlin noise. The gecko dataset is a X-ray computed tomography scan performed by the University of Veterinary Medicine Vienna.\r\n\r\nNo animals were harmed during the production of this image.\r\nDER WEIHNACHTSGECKO\r\n\r\nDas Bild wurde mit Direct Multi-Volume Rendering einer Szene bestehend aus drei verschiedenen Datensätzen erstellt. Nur die Augen wurden mit 2D Bildverarbeitung hinzugefügt.\r\n\r\nDie Mütze ist ein Distanzfeld, welches aus einem geometrischen Modell berechnet wurde. Der Bart wurde durch Sculpting von 3D Perlin Noise erzeugt. Der Gecko Datensatz ist eine Röntgencomputertomographie-Aufnahme, die von der Veterinärmedizinische Universität Wien durchgeführt wurde.\r\n\r\nBei der Erstellung dieses Bildes wurden keine Tiere verletzt.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2096, "image_height": 1538, "name": "xmas-2004-image.jpg", "type": "image/jpeg", "size": 287354, "path": "Publication:xmas-2004", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "card", "main_file": false, "use_in_gallery": false, "access": "public", "name": "xmas-2004-card.pdf", "type": "application/pdf", "size": 3016739, "path": "Publication:xmas-2004", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-card:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2096, "image_height": 1538, "name": "xmas-2004-image.jpg", "type": "image/jpeg", "size": 287354, "path": "Publication:xmas-2004", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/", "__class": "Publication" }, { "id": "xmas-2005", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2005", "date": "2005", "abstract": "The card front shows a screenshot from \"Yetti's Skipark Tycoon\", one of the prize winners in this year's game development student course: Create your own ski resort & watch your happy guests being lifted up and ski down :-)\r\n\r\nThe back depicts the GameTools Project logo - one of the many projects the CG group at TU Vienna participates in (http://www.cg.tuwien.ac.at/projects). \t\r\n\r\nDie Vorderseite der Weihnachtskarte zeigt einen Screenshot aus \"Yetti's Skipark Tycoon\", einer der Gewinner der heurigen Computerspieleentwicklungslaboruebung: Bauen Sie Ihr eigenes Skiresort & schauen Sie Ihren Gaesten beim vergnuegten Skilauf zu :-)\r\n\r\nDie Rückseite ziert das GameTools Project Logo; GameTools ist eines der vielen Projekte, an denen die CG-Gruppe der TU Wien partizipiert (http://www.cg.tuwien.ac.at/projects).\r\nTU Wien - Computer Graphics Group\r\nMeisterhaft in Graphics\r\n\r\nIdea & Artwork: Markus Giegl", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 709, "name": "xmas-2005-image.png", "type": "image/png", "size": 1052917, "path": "Publication:xmas-2005", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 402 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 709, "name": "xmas-2005-image.png", "type": "image/png", "size": 1052917, "path": "Publication:xmas-2005", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/", "__class": "Publication" }, { "id": "xmas-2006", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2006", "date": "2006", "abstract": "THE CHRISTMAS PRESENT\n\nWe scanned the Christmas present (see photo) by micro\ncomputed tomography. By segmentation we separated the snow globe\ncontaining the St. Stephen's Cathedral from its surroundings. The\ncomputer-generated images were rendered with VolumeShop. The image\non the front shows an exploded view of the parcel interior.\n\nSince its secrets are now revealed, the present will not be opened for\nChristmas, and indeed, there are hidden creatures lurking inside…\n\nDAS WEIHNACHTSGESCHENK\n\nWir haben das Weihnachtsgeschenk (siehe Photo) mittels Mikro-Computertomographie aufgenommen. Durch Segmentierung trennten wir\ndie Schneekugel mit dem Stephansdom von ihrer Umgebung. Die\ncomputergenerierten Bilder wurden mit VolumeShop erzeugt. Das Bild auf\nder Vorderseite zeigt eine Explosionsdarstellung des Paketinhaltes.\n\nDa nun seine Geheimnisse gelüftet sind, wird das Geschenk zu Weihnachten nicht geöffnet, lauern doch versteckte Kreaturen in seinem Inneren…\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "Front", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1310, "name": "xmas-2006-image.png", "type": "image/png", "size": 1143525, "path": "Publication:xmas-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 616 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Christmas Card", "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2006-card.pdf", "type": "application/pdf", "size": 3652310, "path": "Publication:xmas-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-card:thumb{{size}}.png" }, { "description": "Front", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1310, "name": "xmas-2006-image.png", "type": "image/png", "size": 1143525, "path": "Publication:xmas-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image:thumb{{size}}.png" }, { "description": "Photo of the present", "filetitle": "photo", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1345, "image_height": 1413, "name": "xmas-2006-photo.png", "type": "image/png", "size": 2765055, "path": "Publication:xmas-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-photo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-photo:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/", "__class": "Publication" }, { "id": "xmas-2010", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas 2010", "date": "2010", "abstract": "“Mirror mirror on the wall who is the master of them all?!”\nThe background of this card is a flow visualization of a hurricane data-set, which is rendered using Line Integral Convolution. The pulmonary and the human lower extremity data-sets are rendered with Maximum Intensity Projection in the AngioVis Toolbox. The vessels have been detected using multi-scale analysis.\n\n“Spieglein Spieglein an der Wand wer ist der Meister im ganzen Land?!”\nDer Hintergrund dieser Karte ist eine Strömungsvisualisierung von einem Hurricane Datensatz, welcher mit Hilfe von Line Integral Convolution dargestellt wird. Die Datensätze einer Lunge und die der Beine eines Menschen werden im AngioVis Programm mittels Maximum Intensity Projection gerendert. Die Adern sind mittels Multi-scale Analysis detektiert worden.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2475, "image_height": 1753, "name": "xmas-2010-image.png", "type": "image/png", "size": 6587417, "path": "Publication:xmas-2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2010-card.pdf", "type": "application/pdf", "size": 27019643, "path": "Publication:xmas-2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2475, "image_height": 1753, "name": "xmas-2010-image.png", "type": "image/png", "size": 6587417, "path": "Publication:xmas-2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/", "__class": "Publication" }, { "id": "xmas-2012", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2012", "date": "2012", "abstract": "The foreground is dominated by a hand-drawn Christmas-decorated Mayan calendar. The Christmas ornaments are ray-traced. The sky is created by combining a visualization of the hurricane Isabel dataset with a hand-drawn background. The visualization of the hurricane dataset is a combination of several direct volume rendered images of various scalar fields. The Vienna skyline is composed of curves while a simple procedural texture is used to generate the windows. The flames are hand-drawn.\r\n\r\nIm Vordergrund dominiert ein handgezeichneter, weihnachtlich verzierter, Maya-Kalender. Die Weihnachtsornamente werden mittels Ray-Tracing dargestellt. Der Himmel setzt sich aus der Visualisierung des Isabel-Wirbelsturms und einem handgezeichneten Hintergrund zusammen. Die Visualisierung des Wirbelsturms ist eine Kombination aus verschiedenen Bildern, welche mittels direktem Volumenrendering unterschiedlicher Skalarfelder erzeugt wurden. Die Silhouette Wiens ist eine Zusammensetzung von Kurven, wobei für die Generierung der Fenster eine einfache prozedurale Textur benutzt wurde. Die Flammen sind handgezeichnet.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "xmas-2012-image.png", "type": "image/png", "size": 1998979, "path": "Publication:xmas-2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2012-card.pdf", "type": "application/pdf", "size": 46945736, "path": "Publication:xmas-2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-card:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "xmas-2012-image.png", "type": "image/png", "size": 1998979, "path": "Publication:xmas-2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/", "__class": "Publication" }, { "id": "xmas-2022", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2022", "date": "2022", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Front", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 1024, "name": "xmas-2022-Front.png", "type": "image/png", "size": 2938708, "path": "Publication:xmas-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5201, 5223 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2022-Card.pdf", "type": "application/pdf", "size": 2413291, "path": "Publication:xmas-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "Front", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1534, "image_height": 1024, "name": "xmas-2022-Front.png", "type": "image/png", "size": 2938708, "path": "Publication:xmas-2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front:thumb{{size}}.png" } ], "projects_workgroups": [ "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/", "__class": "Publication" }, { "id": "xmas-2023", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-Mas Card 2023", "date": "2023-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1636, 1869, 1935, 1129, 193 ], "research_areas": [], "keywords": [ "Christmas", "Santa Edi", "Holy Michi", "Vulkan", "Auto-Vk-Toolkit", "Auto-Vk", "Tamashii", "Cyberpunk", "RTX. It's on.", "Christmas Tree" ], "weblinks": [], "files": [ { "description": "Christmas Card as PDF", "filetitle": "Card", "main_file": true, "use_in_gallery": false, "access": "public", "name": "xmas-2023-Card.pdf", "type": "application/pdf", "size": 1240736, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2283, "image_height": 1615, "name": "xmas-2023-image.png", "type": "image/png", "size": 4679564, "path": "Publication:xmas-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", 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"KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", 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"zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d10450", "workgroup_id": "vis", "drupal_id": 10450, "drupal_path": "/research/projects/ENVIRON-HYDRO", "name": "Environmental Hydropower", "name_de": "Environmental Hydropower", "short_title": "ENVIRON-HYDRO", "website": null, "status": "active", "short_abstract": "ENVIRON-HYDRO: Environmental Hydropower
The ENVIRON-HYDRO project addresses the growing challenges faced by hydropower plants due to climate change and evolving regulatory frameworks. Austria generates around 70% of its electricity from hydropower, making it one of the most hydropower-dependent countries in Europe. However, many existing plants are aging and are increasingly vulnerable to hydrological changes, extreme weather events, and environmental pressures. ENVIRON-HYDRO aims to develop a hybrid data-driven model that integrates internal operational data from hydropower plants with external environmental parameters, enabling more accurate diagnostics, performance assessments, and long-term operational forecasts. This will lay the foundation for resilient, climate-adaptive, and ecologically compatible hydropower systems.
At its core, the project focuses on integrating high-frequency sensor data (e.g., vibration, pressure, temperature) with external, typically low-frequency environmental data (e.g., weather patterns, sediment transport, snowmelt). This integrated approach enables the discovery of relationships between plant performance, environmental behavior, and climatic trends - connections that have remained largely unexplored in current practice. ENVIRON-HYDRO thus goes beyond previous research efforts that rely on isolated data streams. At the same time, it tackles key challenges in data fusion, such as differences in resolution, data format, and semantic context.
The project applies methods from cross-domain data fusion and probabilistic modeling (e.g., Bayesian networks) to combine these heterogeneous data sources into a meaningful framework. The result is a virtual, adaptive representation of hydropower operation under real-world environmental conditions. These models will be used to identify the impacts of seasonal and long-term climate changes and provide actionable recommendations for future operations.
", "abstract": "ENVIRON-HYDRO: Environmental Hydropower
The ENVIRON-HYDRO project addresses the growing challenges faced by hydropower plants due to climate change and evolving regulatory frameworks. Austria generates around 70% of its electricity from hydropower, making it one of the most hydropower-dependent countries in Europe. However, many existing plants are aging and are increasingly vulnerable to hydrological changes, extreme weather events, and environmental pressures. ENVIRON-HYDRO aims to develop a hybrid data-driven model that integrates internal operational data from hydropower plants with external environmental parameters, enabling more accurate diagnostics, performance assessments, and long-term operational forecasts. This will lay the foundation for resilient, climate-adaptive, and ecologically compatible hydropower systems.
At its core, the project focuses on integrating high-frequency sensor data (e.g., vibration, pressure, temperature) with external, typically low-frequency environmental data (e.g., weather patterns, sediment transport, snowmelt). This integrated approach enables the discovery of relationships between plant performance, environmental behavior, and climatic trends - connections that have remained largely unexplored in current practice. ENVIRON-HYDRO thus goes beyond previous research efforts that rely on isolated data streams. At the same time, it tackles key challenges in data fusion, such as differences in resolution, data format, and semantic context.
The project applies methods from cross-domain data fusion and probabilistic modeling (e.g., Bayesian networks) to combine these heterogeneous data sources into a meaningful framework. The result is a virtual, adaptive representation of hydropower operation under real-world environmental conditions. These models will be used to identify the impacts of seasonal and long-term climate changes and provide actionable recommendations for future operations.
", "start_date": "2026-02-01", "end_date": "2029-01-31", "leader_id": { "id": 950, "drupal_id": 292, "orcid_id": "0000-0002-9638-6344", "website": "https://www.cg.tuwien.ac.at/staff/JohannaSchmidt", "firstname": "Johanna", "lastname": "Schmidt", "searchname": "Johanna Schmidt", "is_teacher": false, "name": "Johanna Schmidt", "publications": [ "karimov-2013-vivisection", "medeiros-2023-gwf", "medeiros-2025-iaa", "Mistelbauer_Gabriel_2016", "piccolotto-2023-dta", "rsabin-2013", "schmidt-2011-mt", "schmidt-phd", "TR1862162", "vaico", "vuckovic-2025-pdo", "walch-2025-bemtrace", "ymca" ], "publications_first": [], "project_leader": [ "d10206", "d10413", "d10450" ], "publication_field": [ { "publ_id": "2015-image-coll", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "audioflow", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "meka-2024-lpi", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Mlinaric-2015-MT", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "textures-3d-printing", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "tuscher-2023-qeo", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "vaico", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ymca", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Zhu-2014-flowvis", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=950", "__class": "Author" }, "logo": { "name": "logo.jpg", "path": "project:d10450", "type": "image/jpeg", "size": 32432, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d10450/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", "knoetzl_alexander-2025-prj", "koeppel-2021", "Kolter_2021", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch-2021-lov", "Kuroko-2020-iV", "Laschober-2018", "li-2019-gdc", "lippeck-2022-mna", "louis-alexandre_dit_petit-frere-2022-veo", "magg2022", "mahler-2021-mdar", "martorell2022", "maruyama-2019-iv", "Matkovic_Kresimir_2015_", "Matkovic-2014-ieee", "matt-2024-cvil", "matt-2025-scv", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "medeiros-2023-gwf", "meka-2024-lpi", "melcher-2024-asi", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao2018Dimsum", "mizuno-2019-eurovis", "Muehlbacher_diss_2018", "musleh_maath_2021_mam", "musleh_maath-2021-mam1", "musleh_maath-2021-mam2", "Musleh_PhD", "musleh-2022-mam5", "musleh-2025-trustme", "Neubauer2020", "Nowak_2021", "ortner-2016-tunnel", "ortner-2016-visaware", "pahr-2024-ieo", "PH-2011-LDS", "Pilizar_-2020-bachelor", "pirch_2021_VRN", "pointner_simon-2020", "polatsek-2018-stv", "Presch_2020", "Priselac2021", "Purchase-2020-gd", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2019_prsps", "Ribicic_2012_VAS", "Rippberger_2019", "sakr_sherif-2020-cacm", "samoul-2019-cnp", "sbardellati-2021-eveos", "schmidt-phd", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sikachev_peter-2011-protovis", "smiech-2018-tei", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "spegel-gruenberger-2020", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/ENVIRON-HYDRO", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "amirkhanov2010AMA", "ammer-2008-lst", "An-2018-CHI", "AndreUrsits_2013_APP", "antes-2023-vhv", "Antonini2020", "arbesser_ba_2023", "Artner-2004-Hig", "Artner-2005-Hig", "Artner-2005-Thesis", "audioflow", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d10162", "workgroup_id": "vis", "drupal_id": 10162, "drupal_path": "/research/projects/VRVis-GF-2025-2028", "name": "Visual Computing-Grundlagenforschung", "name_de": "Visual Computing-Grundlagenforschung", "short_title": "VRVis-GF-2025-2028", "website": null, "status": "active", "short_abstract": null, "abstract": "Die TU-Wien bearbeitet für VRVis relevante Forschungsfragen im Bereich Visual Computing und stellt die Ergebnisse dem VRVis zur weiteren Verwendung uneingeschränkt zur Verfügung. Die TU-Wien wird die Arbeiten mit branchenüblicher Sorgfalt erbringen. Aufgrund des Forschungscharakters der Arbeiten ist eine Gewährleistung für das Erreichen der angestrebten Forschungsziele oder für eine bestimmte Beschaffenheit der Resultate, insbesondere für deren wirtschaftliche oder rechtliche Verwertbarkeit, ausgeschlossen.
", "start_date": "2025-01-01", "end_date": "2028-12-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", 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"EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", 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null, "status": "active", "short_abstract": null, "abstract": "Atrial fibrillation (AF) is the most common heart arrhythmia worldwide, leading to life-limiting complications, high financial burden and significant resource utilisation. In Europe, stroke as a debilitating complication of AF, is amongst the commonest causes of death and the leading cause of disability. AF patients have a 5-fold increased risk for ischaemic stroke. Functional recovery from AF-related stroke (AFRS) is often unsatisfactory, leading to severe disability, reduced quality of life and high mortality. TARGET’s ambition is to develop novel personalised, integrated, multi-scale computational models (virtual twins) and decision- support tools for the AF-related stroke pathway, starting from the healthy state, pathophysiology and disease onset, progression, treatment and recovery. TARGET aims to help prevent AF and AFRS, optimise acute management and rehabilitation, reduce long- term disability, provide a better quality of life for patients and caregivers, and lower healthcare costs. We will ensure patients are at the heart of the project, and the association with experienced commercial partners will ensure the swift adoption of TARGET’s novel technologies. New observational data will be collected via 4 carefully designed prospective clinical studies, which will be used to test and validate the personalised tools and the virtual twin models using a clinical trial simulation (virtual/in-silico), to demonstrate evidence of clinically meaningful results. TARGET will also help consolidate existing mechanistic virtual twin models of the heart, the brain and the neuromusculoskeletal system, enriching these twins to deliver more complex tasks, and supporting research to move towards a more integrated human virtual twin. TARGET represents a milestone project to improve the care and rehabilitation of patients with AF and AFRS, introducing a paradigm shift in risk prediction, diagnosis and management of the disease, and accelerating translational research into practice.
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0 }, { "publ_id": "walchhofer_ar_flowmaps", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1410", "__class": "Author" }, "logo": null, "funding_organisations": [], "research_areas": [ { "id": "MedVis", "drupal_id": 4133, "name": "Medical Visualization", "short_abstract": "This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions.", "abstract": "In collaboration with hospitals we try to investigate various topics in medicine by means of visualization or visual analytics. Due to the increasing amount of data generated by hospital information systems, visualization becomes successively more important. Extracting certain trends from such highly diverse data by suitable visual mappings is one of the primary goals of medical visualization. The data is usually acquired by computed tomography, magnetic resonance imaging or ultrasound.\n\nCurrently, our research addresses the analysis of blood vessels such as the inspection of possible stenotic regions or their spatial arrangement as in the Circle of Willis. Furthermore, we investigate aneurysm classification and lesion detection as well as visualization. Another research area deals with realistic prenatal visualization of the fetus in-vivo and in real-time. Due to the high variability of medical imaging data, we further focus on high-level correction of segmentation defects.", "website": "https://www.cg.tuwien.ac.at/research/area/MedVis", "teaser": { "name": "teaser.png", "path": "research_area:MedVis", "type": "image/png", "size": 225330, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/MedVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "amabili2021", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "antes-2023-vhv", "arbesser_ba_2023", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Bauer_David_2018", "bayat-2022-mva", "Bernold_2019", "bernold-2019-epr", "Birkeland-2012-IMC", "borondy2022", "bront-2023-svo", "bruckner-2010-HVC", "burns-2007-fea", "Chen-Information-2016", "djuric-2020-wvo", "Eckelt_2017", "Eichner2022", "EuroVis2018-ShortPapers-Karall", "fmistelbauer-2014-adict", 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"vogel2022", "Weissenboeck_2019_PhD" ], "projects": [ "d9951", "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=MedVis", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/TARGET", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], 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"knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", 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"Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", 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"Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d4314", "workgroup_id": "rend", "drupal_id": 4314, "drupal_path": "/research/projects/ACD", "name": "Advanced Computational Design", "name_de": "Advanced Computational Design", "short_title": "ACD", "website": "http://acd.tuwien.ac.at", "status": "active", "short_abstract": null, "abstract": "Research question: The main research question addressed by the SFB “Advanced Computational Design” is how to advance design tools and processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics.
\nWider research context: Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society. However, it is among the least digitized industries, still caught in silo-thinking and sequential planning processes. The Information and Communication Technology field, on the other hand, is highly innovative, creating digital design tools that are well-founded in basic research, but often lack relevant domain knowledge, thus hardly meeting designers’ needs.
\nInnovation: We will connect architecture, computer science, mathematics and engineering in order to develop advanced computational design tools able to incorporate implicit and explicit design knowledge. This unique combination of scientific disciplines and collaborative research with strong theoretical foundations aims to bring radical innovation in computational design by allowing immediate feedback already in early design phases and by expanding solution spaces by computing design variants that cannot be found by current methods.
\nApproach: The proposed research is structured in three areas: Design Methodology (A1), Visual and Haptic Design Interaction (A2) and Form Finding (A3). A1 uses ontologies to describe AEC design semantics, coupled to a novel digital mixed-reality sketchbook, and an innovative implicit modeling approach based on retrieving and enhancing 2D images and 3D point clouds through transfer learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. These areas will investigate research questions in computational design involving algorithmic solutions. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality based on a mobile robotic platform. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form-finding will be explored experimentally, which will allow for validating the developed algorithmic approaches and reconsidering model assumptions and constraints.
\nAdded value: The fundamental computational tools and methods to be developed will be applicable in AEC and other fields of the creative industries.
", "start_date": "2020-03-01", "end_date": "2028-02-29", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", 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However, many interior lighting situations are currently either handcrafted by expert designers, or simply consist of basic regular arrangements of luminaires, such as to reach uniform lighting at a predefined brightness. Our method aims to bring more interesting lighting configurations to various scenes in a semi-automatic manner designed for fast prototyping by non-expert users. Starting from a single photograph of a lighting configuration, we allow users to quickly copy and adapt a lighting style to any 3D scene. Combining image analysis, texture synthesis, and light parameter optimization, we produce a lighting design for the target 3D scene matching the input image. We validate via a user study that our results successfully transfer the desired lighting style more accurately and realistically than state-of-the-art generic style transfer methods. Furthermore, we investigate the behaviour of our method under potential altern ative choices in an ablation study.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2126, "image_height": 763, "name": "ecormier-nocca-2025-sls-image.png", "type": "image/png", "size": 1223387, "path": "Publication:ecormier-nocca-2025-sls", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1949, 1525, 1954, 1946, 193 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP", "date_from": "2025-02-26", "date_to": "2025-03-28", "doi": "10.5220/0013193900003912", "event": "IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.", "isbn": "978-989-758-728-3", "lecturer": [ 1954 ], "location": "Porto", "pages": "14", "pages_from": "113", "pages_to": "126", "publisher": "SciTePress", "volume": "1", "research_areas": [ "Rendering" ], "keywords": [ "Lighting Design", "Lighting Style Ttransfer", "Texture Synthesis", "Lighting Optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2126, "image_height": 763, "name": "ecormier-nocca-2025-sls-image.png", "type": "image/png", "size": 1223387, "path": "Publication:ecormier-nocca-2025-sls", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ecormier-nocca-2025-sls-paper.pdf", "type": "application/pdf", "size": 58975673, "path": "Publication:ecormier-nocca-2025-sls", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/", "__class": "Publication" }, { "id": "Erhardt_2025_Scutes", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Scutes 1.3.0 from Rhino 8/Grasshopper C# to Unity C#", "date": "2025-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5375 ], "date_end": "2025-04", "date_start": "2024-10", "matrikelnr": "e11929888", "supervisor": [ 1946, 193 ], "research_areas": [ "Geometry", "Modeling", "VR" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Erhardt_2025_Scutes/", "__class": "Publication" }, { "id": "Erhardt_Seirlehner-2024-TamashiiIntegration", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Tamashii/SketchingApp integration", "date": "2024-04", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5375, 5374 ], "date_end": "2024-07", "date_start": "2024-04", "matrikelnr": "11929888-12022486", "supervisor": [ 1946, 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Erhardt_Seirlehner-2024-TamashiiIntegration/", "__class": "Publication" }, { "id": "freude-2023-prh", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/190854", "title": "Precomputed radiative heat transport for efficient thermal simulation", "date": "2023-11", "abstract": "Architectural design and urban planning are complex design tasks. Predicting the thermal impact of design choices at interactive rates enhances the ability of designers to improve energy efficiency and avoid problematic heat islands while maintaining design quality. We show how to use and adapt methods from computer graphics to efficiently simulate heat transfer via thermal radiation, thereby improving user guidance in the early design phase of large-scale construction projects and helping to increase energy efficiency and outdoor comfort. Our method combines a hardware-accelerated photon tracing approach with a carefully selected finite element discretization, inspired by precomputed radiance transfer. This combination allows us to precompute a radiative transport operator, which we then use to rapidly solve either steady-state or transient heat transport throughout the entire scene. Our formulation integrates time-dependent solar irradiation data without requiring changes in the transport operator, allowing us to quickly analyze many different scenarios such as common weather patterns, monthly or yearly averages, or transient simulations spanning multiple days or weeks. We show how our approach can be used for interactive design workflows such as city planning via fast feedback in the early design phase.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, "sync_repositum_override": "date,date_from,date_to,event,lecturer,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 1128, 1946, 1063, 1525, 193 ], "articleno": "e14957", "date_from": "2023-11", "date_to": "2023-11", "doi": "10.1111/cgf.14957", "event": "Pacific Graphics 2023", "first_published": "2023-11", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "7", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "42", "research_areas": [ "Rendering" ], "keywords": [ "thermal radiation", "rendering", "computer graphics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-prh-paper.pdf", "type": "application/pdf", "size": 10540215, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/", "__class": "Publication" }, { "id": "freude-2023-sem", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175763", "title": "Sampling-Distribution-Based Evaluation for Monte Carlo Rendering", "date": "2023", "abstract": "In this paper, we investigate the application of per-pixel difference metrics for evaluating Monte Carlo (MC) rendering techniques. In particular, we propose to take the sampling distribution of the mean (SDM) into account for this purpose. We establish the theoretical background and analyze other per-pixel difference metrics, such as the absolute deviation (AD) and the mean squared error (MSE) in relation to the SDM. Based on insights from this analysis, we propose a new, alternative, and particularly easy-to-use approach, which builds on the SDM and facilitates meaningful comparisons of MC rendering techniques on a per-pixel basis. In order to demonstrate the usefulness of our approach, we compare it to commonly used metrics based on a variety of images computed with different rendering techniques. Our evaluation reveals limitations of commonly used metrics, in particular regarding the detection of differences between renderings that might be difficult to detect otherwise—this circ umstance is particularly apparent in comparison to the MSE calculated for each pixel. Our results indicate the potential of SDM-based approaches to reveal differences between MC renderers that might be caused by conceptual or implementation-related issues. Thus, we understand our approach as a way to facilitate the development and evaluation of rendering techniques.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1128, 1129, 1073, 193 ], "booktitle": "Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "date_from": "2023-02-19", "date_to": "2023-02-21", "doi": "10.5220/0011886300003417", "event": "18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP)", "isbn": "978-989-758-634-7", "lecturer": [ 1128 ], "location": "Lisbon, Portugal", "open_access": "yes", "pages": "12", "pages_from": "119", "pages_to": "130", "publisher": "Scitepress", "volume": "1", "research_areas": [ "Rendering" ], "keywords": [ "computer graphics", "Rendering", "Ray Tracing", "Evaluation", "Validation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1028, "image_height": 1028, "name": "freude-2023-sem-image.png", "type": "image/png", "size": 731748, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-sem-paper.pdf", "type": "application/pdf", "size": 8656300, "path": "Publication:freude-2023-sem", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "OpenData", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/", "__class": "Publication" }, { "id": "freude-2025-iso", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216172", "title": "Inverse Simulation of Radiative Thermal Transport", "date": "2025-04-17", "abstract": "The early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems. In this paper, we present an inverse simulation of radiative heat transport and a differentiable photon-tracing approach. Our method utilizes GPU-accelerated ray tracing to speed up both the forward and adjoint simulation. Moreover, we incorporate matrix compression to further increase the efficiency of our thermal solver and support larger scenes. In addition to our differentiable photon-tracing approach, we introduce a novel approximate edge sampling scheme that re-uses primary samples instead of relying on explicit edge samples or auxiliary rays to resolve visibility discontinuities. Our inverse simulation system enables designers to not only predict the temperature distribution, but also automatically optimize the design to improve thermal comfort and avoid problematic configurations. We showcase our approach using several examples in which we optimize the placement of buildings or their facade geometry. Our approach can be used to optimize arbitrary geometric parameterizations and supports steady-state, as well as transient simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, "sync_repositum_override": "date_from,date_to,event,lecturer,number,open_access,volume", "repositum_presentation_id": null, "authors": [ 1128, 1525, 5257, 1063, 193, 1946 ], "articleno": "e70048", "date_from": "2025", "date_to": "2025", "doi": "10.1111/cgf.70048", "event": "Eurographics 2025", "first_published": "2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "2", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "44", "research_areas": [ "Rendering" ], "keywords": [ "Ray tracing", "Physical simulation", "Computer-aided design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2025-iso-paper.pdf", "type": "application/pdf", "size": 13713470, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/", "__class": "Publication" }, { "id": "Fuericht-2026-FPD", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Fast Polyhedral Dynamics", "date": "2026", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5445 ], "date_end": "2026-02-28", "date_start": "2026-01", "matrikelnr": "52005515", "supervisor": [ 1946, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Fuericht-2026-FPD/", "__class": "Publication" }, { "id": "Grisenti-2026-HSHPG", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Leveraging Hemispherical Harmonics to Improve Preview Fidelity in an Interactive Application", "date": "2026-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": "Code", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "account", "name": "Grisenti-2026-HSHPG-.zip", "type": "application/x-zip-compressed", "size": 4909581, "path": "Publication:Grisenti-2026-HSHPG", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Grisenti-2026-HSHPG/Grisenti-2026-HSHPG-.zip", "thumb_image_sizes": [] }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5547 ], "date_end": "2026-01", "date_start": "2025-05", "matrikelnr": " e12434686", "supervisor": [ 1946, 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Grisenti-2026-HSHPG/", "__class": "Publication" }, { "id": "huber-2025-esl", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/213932", "title": "Exploring Seated Locomotion Techniques in Virtual Reality for People with Limited Mobility", "date": "2025", "abstract": "Virtual reality (VR) is often designed as a standing experience, excluding individuals with limited mobility. Given that a significant portion of the population experiences lower-body mobility restrictions, accessible VR locomotion must accommodate users without requiring lower-body movement. To build a comprehensive understanding of suitable locomotion techniques (LTs) for this demographic, it is crucial to evaluate the feasibility of various approaches in virtual environments (VEs). As a starting point, we present our evaluation approach and a user study on the feasibility and potential of selected LTs for accessible seated locomotion in VR. Our findings indicate that common LTs can be adapted for seated stationary VR. Teleportation-based techniques, in particular, stand out as viable options for accessible locomotion. Although our simulated wheelchair was less popular with non-disabled participants, it was well-received by wheelchair users and shows promise as an intuitive LT for (More)", "authors_et_al": false, "substitute": null, "main_image": { "description": "Different locomotion paths", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1041, "image_height": 571, "name": "huber-2025-esl-image.png", "type": "image/png", "size": 823835, "path": "Publication:huber-2025-esl", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5456, 5457, 1954, 5458, 5459, 378, 1030 ], "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP", "date_from": "2025-02-26", "date_to": "2025-02-28", "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-728-3", "lecturer": [ 5456 ], "location": "Porto", "pages": "13", "pages_from": "161", "pages_to": "173", "publisher": "SciTePress", "volume": "1", "research_areas": [ "Rendering", "VR" ], "keywords": [ "Virtual Reality", "Accessibility", "Locomotion", "User Study" ], "weblinks": [], "files": [ { "description": "Different locomotion paths", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1041, "image_height": 571, "name": "huber-2025-esl-image.png", "type": "image/png", "size": 823835, "path": "Publication:huber-2025-esl", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "huber-2025-esl-paper.pdf", "type": "application/pdf", "size": 7212099, "path": "Publication:huber-2025-esl", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/", "__class": "Publication" }, { "id": "koenigsberger-2024-msu", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/206831", "title": "Micromechanics stiffness upscaling of plant fiber-reinforced composites", "date": "2024-07-15", "abstract": "Fiber-reinforced green composites made from natural plant fibers are an increasingly popular sustainable alternative to conventional high-performance composite materials. Given the variety of natural fibers themselves, and the even larger variety of possible composites with specific fiber dosage, fiber orientation distribution, fiber length distribution, and fiber–matrix bond characteristics, micromechanics-based modeling is essential for characterizing the macroscopic response of these composites. Herein, an analytical multiscale micromechanics model for elastic homogenization is developed, capable of capturing the variety. The model features (i) a nanoscopic representation of the natural fibers to predict the fiber stiffness from the universal stiffness of the fiber constituents, mainly cellulose, (ii) a spring-interface model to quantify the compliance of the fiber–matrix bond, and (iii) the ability to model any (and any combination of) orientation distribution and aspect ratio distribution. Validation is performed by comparing the predicted stiffness to experimental results for as many as 73 composites available in the literature. Extensive sensitivity analyses quantify the composite stiffening upon increasing fiber volume fraction, fiber alignment, fiber length, and fiber–matrix interface stiffness, respectively.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5423, 5424, 5425, 193, 5209 ], "articleno": "111571", "doi": "10.1016/j.compositesb.2024.111571", "issn": "1879-1069", "journal": "COMPOSITES PART B-ENGINEERING", "open_access": "yes", "pages": "20", "pages_from": "1", "pages_to": "20", "publisher": "ELSEVIER SCI LTD", "volume": "281", "research_areas": [ "Modeling" ], "keywords": [ "Biocomposite", "Elasticity", "Fiber orientation", "Multiscale modeling", "Natural fibers", "Weak interface", "Young's modulus" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koenigsberger-2024-msu-paper.pdf", "type": "application/pdf", "size": 2290463, "path": "Publication:koenigsberger-2024-msu", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/koenigsberger-2024-msu-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/koenigsberger-2024-msu-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/", "__class": "Publication" }, { "id": "Koeppl-2023-DLO", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Gradient-based Light Optimization with Variable Light Count: Dynamic Generation and Merging of Light Sources", "date": "2023-12", "abstract": "This thesis focuses on improvements for an interactive lighting design approach that\nutilizes GPU-accelerated ray tracing and a view-independent global illumination solver.\nOur goal is to enable automated lighting design for a set of user-specified illumination\ntargets in 3D scenes. Current solvers are highly effective but still have some limitations.\nFor instance, they rely on an initial number of light sources and their respective placements\nin a given 3D scene and this can result in insufficient solutions when there are more target\nspots than provided light sources. On the other hand, if there are more light sources\nthan needed, the resulting solution can be sub-optimal, leading to superimposed lights\nthat can negatively impact performance and increase computational cost.\nIn response to the limitations, we investigate several strategies for increasing the effectiveness\nand efficiency of the optimization algorithm by developing a dynamic light\nsource generation approach that programmatically inserts and removes lights in the 3D\nscene to achieve a more refined light placement. In our results, we show that our specialized\noptimization approach, yields improved lighting solutions compared to established\nalgorithms.\nMoreover, we also implement a light source merging technique to address the issue of\nlight sources with overlapping areas of influence. By formulating conditions on intensity\nand proximity and then applying linear interpolation, we can combine overlapping light\nsources in a way that minimizes performance impact and computational cost. We also\ntake measures to remove lights with a small illumination contribution to the scene\nduring the optimization process. Evidence from our study suggests that our approach of\nexpanding the solution space and improving the light source placement achieves superior\nlighting solutions for any given scene.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5237 ], "date_end": "2023-12-18", "date_start": "2023-02-28", "matrikelnr": "e12022493", "supervisor": [ 193, 1946, 1525 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Koeppl-2023-DLO-BSc Thesis.pdf", "type": "application/pdf", "size": 24560599, "path": "Publication:Koeppl-2023-DLO", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/Koeppl-2023-DLO-BSc Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/Koeppl-2023-DLO-BSc Thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/", "__class": "Publication" }, { "id": "kovacs-2023-ttm", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/190592", "title": "The theatre metaphor for spatial computing in architectural design", "date": "2023-06-20", "abstract": "New digital technologies require new conceptual approaches to help potential users understand existing\nand envision new use cases and applications. Moving from desktop computing to spatial computing\n(virtual, augmented, mixed and extended reality environments) also requires the introduction of new\nmetaphors. New interaction and visualisation possibilities afforded by current devices are causing virtual\nand real worlds to merge into an inseparable unity of reality and imagination.\nThere are many similarities between theatre and AEC workflows. However, the theatre process is scaled\ndown in terms of space, time, and budget, and is therefore better suited to explore innovative and\nexperimental methods. In order to conceptualise the role of a novel spatial computing drawing tool\n(MR.Sketch) in existing AEC processes, we propose the theatre metaphor, which embeds the\nconceptual foundations of the tool in a collaborative design workflow based on the cooperation of\ndifferent domain experts.\nThe metaphor proposal includes the analysis of the following theatre concepts: integrative collaboration\nwith specialists, stage infrastructure, workshops for different tools and manufacturing methods, stocks\nand the immersive experience of space and time in different scales. We illustrate the capabilities of the\ntheatre metaphor to cover the entire creation and performance process of architectural design in an\nexperimental mixed reality sketching application. The implementation of an early prototype of the\nsketching application was used to evaluate the applicability of the theatre metaphor to spatial computing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 337, "image_height": 220, "name": "kovacs-2023-ttm-image.jpg", "type": "image/jpeg", "size": 7460, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1487, 5315, 5316, 1525, 193, 240 ], "booktitle": "Proceedings of the Creative Construction Conference 2023", "date_from": "2023-06-20", "date_to": "2023-06-23", "doi": "10.3311/CCC2023-087", "editor": "Skibniewski, Miroslaw and Hajdu, Miklós", "event": "Creative Construction Conference 2023", "isbn": "978-615-5270-79-6", "lecturer": [ 1487 ], "location": "Keszthely", "open_access": "yes", "pages": "10", "pages_from": "674", "pages_to": "683", "publisher": "Budapest University of Technology and Economics", "research_areas": [], "keywords": [ "Computing", "architectural design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 337, "image_height": 220, "name": "kovacs-2023-ttm-image.jpg", "type": "image/jpeg", "size": 7460, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kovacs-2023-ttm-paper.pdf", "type": "application/pdf", "size": 1250121, "path": "Publication:kovacs-2023-ttm", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/", "__class": "Publication" }, { "id": "landauer-2022-kido", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Kido: a hardware-accelerated lighting planning software", "date": "2022-09", "abstract": "The human visual system allows us to perceive our environment by processing incoming light. This visual system enables us to make decisions based on the information or objects we see. Many tasks in our daily life require us to see our surroundings. Depending on the task, a well-illuminated environment will be beneficial to accomplish the given task. To properly design lighting environments, computer applications are used to simulate the distribution of light and test if the results meet the predefined requirements. The current workflow of state-of-the-art applications is sequential, where the user first plans a scene and then triggers the lighting simulation. The problem with this approach is that the user will have no insight into the resulting lighting conditions until the simulation has finished. Planning a lighting environment is an iterative process, where the user iteratively changes the scene till the plan meets the requirements. Reducing the time per iteration will also reduce the overall planning time and increase the planner’s productivity. This thesis presents a novel workflow by providing the user with intermediate results of the computed lighting conditions in the planning phase. We believe that this approach will help the user to plan lighting environments faster and more intuitively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 659, "name": "landauer-2022-kido-Preview.jpg", "type": "image/jpeg", "size": 104565, "path": "Publication:landauer-2022-kido", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1888 ], "date_end": "2022-09-30", "date_start": "2021-08-05", "matrikelnr": "e11778912", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 742, "image_height": 659, "name": "landauer-2022-kido-Preview.jpg", "type": "image/jpeg", "size": 104565, "path": "Publication:landauer-2022-kido", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "landauer-2022-kido-thesis.pdf", "type": "application/pdf", "size": 4566846, "path": "Publication:landauer-2022-kido", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/", "__class": "Publication" }, { "id": "LIPP-2020-PHD", "type_id": "runphdthesis", "tu_id": null, "repositum_id": null, "title": "unknown", "date": "2020-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1525 ], "date_start": "2020-12", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/LIPP-2020-PHD/", "__class": "Publication" }, { "id": "lipp-2024-val", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/203067", "title": "View-Independent Adjoint Light Tracing for Lighting Design Optimization", "date": "2024-05-22", "abstract": "Differentiable rendering methods promise the ability to optimize various parameters of three-dimensional (3D) scenes to achieve a desired result. However, lighting design has so far received little attention in this field. In this article, we introduce a method that enables continuous optimization of the arrangement of luminaires in a 3D scene via differentiable light tracing. Our experiments show two major issues when attempting to apply existing methods from differentiable path tracing to this problem: First, many rendering methods produce images, which restricts the ability of a designer to define lighting objectives to image space. Second, most previous methods are designed for scene geometry or material optimization and have not been extensively tested for the case of optimizing light sources. Currently available differentiable ray-tracing methods do not provide satisfactory performance, even on fairly basic test cases in our experience. In this article, we propose, to the best of our knowledge, a novel adjoint light tracing method that overcomes these challenges and enables gradient-based lighting design optimization in a view-independent (camera-free) way. Thus, we allow the user to paint illumination targets directly onto the 3D scene or use existing baked illumination data (e.g., light maps). Using modern ray-tracing hardware, we achieve interactive performance. We find light tracing advantageous over path tracing in this setting, as it naturally handles irregular geometry, resulting in less noise and improved optimization convergence. We compare our adjoint gradients to state-of-the-art image-based differentiable rendering methods. We also demonstrate that our gradient data works with various common optimization algorithms, providing good convergence behaviour. Qualitative comparisons with real-world scenes underline the practical applicability of our method.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1469, "image_height": 1228, "name": "lipp-2024-val-preview.jpg", "type": "image/jpeg", "size": 264705, "path": "Publication:lipp-2024-val", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview:thumb{{size}}.png" }, "sync_repositum_override": "event,lecturer", "repositum_presentation_id": null, "authors": [ 1525, 1946, 1949, 1063, 193 ], "articleno": "35", "doi": "10.1145/3662180", "event": "SIGGRAPH 2024", "issn": "1557-7368", "journal": "ACM Transactions on Graphics", "number": "3", "open_access": "yes", "pages": "16", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "43", "research_areas": [ "Rendering" ], "keywords": [ "differentiable rendering", "global illumination", "Lighting design", "optimization", "ray tracing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1469, "image_height": 1228, "name": "lipp-2024-val-preview.jpg", "type": "image/jpeg", "size": 264705, "path": "Publication:lipp-2024-val", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/", "__class": "Publication" }, { "id": "Meier_2024_WIALT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Simulating Windows for Lighting Design Optimization", "date": "2024-12-20", "abstract": "For lighting design, optimizing windows plays a major role, especially for office and living spaces, as natural light is important for focus, productivity and also mood. The rendering framework Tamashii, which is currently in development at the research unit of computer graphics at TU Wien, offers a feature to automatically optimize multiple parameters of light sources like the position, intensity or rotation for a predefined lighting target. This thesis aims to expand the possibilities Tamashii offers for lighting design by simulating windows through area lights. Tamashii’s automatic light parameter optimization relies on light tracing, which unlike path tracing, casts the light rays from the light sources instead of the camera. This is why implementing environment maps in a classical sense is not feasible, as emitting light rays from each pixel of the environment map only for a small percentage to go through the window is very inefficient. We implement a new type of light that combines area lights with Illuminating Engineering Society (IES) lights in order to simulate windows. The IES standard is a file format commonly used by luminaire manufacturers to describe the physical properties of a luminaire for simulation in software. To accurately mimic the light that shines through real windows, we convert High Dynamic Range (HDR) files into IES profiles, which our lights can then use. Our new light type can also be attached to models in the scene, such as walls or roofs, which constrains the manual movement of the windows to the connected object and makes their usage more intuitive. In our tests, we find that our implementation is able to realistically simulate real windows when compared to the same combination of scenes and HDR files in Blender’s path tracing renderer Cycles. To ensure that the light parameter optimization algorithm only moves the window lights inside the model its connected to, we implement a constraint that gets evaluated repeatedly while optimizing. We realize this by calculating penalties when the light reaches the edges of the model, in order to encourage the algorithm to keep the window light inside. When evaluating our implementation we find that with the activated constraint, the algorithm is able to find valid positions for the window lights when optimizing.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5362 ], "date_end": "2024-12-20", "date_start": "2024-05-02", "matrikelnr": "e11908106", "supervisor": [ 193, 1946 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Meier_2024_WIALT-thesis.pdf", "type": "application/pdf", "size": 80250870, "path": "Publication:Meier_2024_WIALT", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/Meier_2024_WIALT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/Meier_2024_WIALT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/", "__class": "Publication" }, { "id": "mortezapoor-2022-photogrammabot", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/78073", "title": "Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality", "date": "2022-04-20", "abstract": "Precise 3D reconstruction of environments and real objects for Mixed-Reality applications can be burdensome. Photogrammetry can help to create accurate representations of actual objects in the virtual world using a high number of photos of a subject or an environment. Photogrammabot is an affordable mobile robot that facilitates photogrammetry and 3D reconstruction by autonomously and systematically capturing images. It explores an unknown indoor environment and uses map-based localization and navigation to maintain camera direction at different shooting points. Photogrammabot employs a Raspberry Pi 4B and Robot Operating System (ROS) to control the exploration and capturing processes. The photos are taken using a point-and-shoot camera mounted on a 2-DOF micro turret to enable photography from different angles and compensate for possible robot orientation errors to ensure parallel photos. Photogrammabot has been designed as a general solution to facilitate precise 3D reconstruction of unknown environments. In addition we developed tools to integrate it with and extend the Immersive Deck™ MR system [23], where it aids the setup of the system in new locations.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1881, 1731, 5533, 378 ], "booktitle": "Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "date_from": "2022-03-12", "date_to": "2022-03-16", "doi": "10.1109/VRW55335.2022.00033", "event": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)", "isbn": "978-1-6654-8403-9", "lecturer": [ 1881 ], "location": "Christchurch", "pages": "7", "pages_from": "101", "pages_to": "107", "publisher": "IEEE", "research_areas": [], "keywords": [ "3D reconstruction", "Artificial intelligence", "automation", "autonomous mobile robot", "Computer systems organization", "Computer vision", "Computing methodologies", "Embedded and cyberphysical systems", "fiducial marker tracking", "Human computer interaction (HCI)", "Human computer interaction (HCI)", "Human-centered computing", "Human-centered computing", "Interaction paradigms", "mixed-reality", "Mixed/augmented reality", "Photogrammetry", "Reconstruction", "Robotic autonomy", "Robotics", "ROS", "Virtual reality" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/mortezapoor-2022-photogrammabot/", "__class": "Publication" }, { "id": "Mortezapoor2021ssc", "type_id": "inproceedings", "tu_id": 300514, "repositum_id": "20.500.12708/58640", "title": "Safety and Security Challenges for Collaborative Robotics in VR", "date": "2021-08-06", "abstract": "Virtual reality (VR) security and privacy are not limited to existing software solutions and applications. In this article, we present to the community the challenges of VR systems with robot integration. Integrating robots under ROS poses a massive risk in terms of data security. At the same time, using a robot for simulations in VR requires, first and foremost, the user's safety - hence redundant data collection and sharing. We want to draw the community's attention to these problems through our example in order to ensure that such systems are thoroughly developed in all directions and well prepared for further deployment to the consumer market. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 670, "image_height": 699, "name": "Mortezapoor2021ssc-image.png", "type": "image/png", "size": 653220, "path": "Publication:Mortezapoor2021ssc", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1881, 1712 ], "booktitle": "Proceedings of the 1st International Workshop on Security for XR and XR for Security (VR4Sec) at Symposium On Usable Privacy and Security (SOUPS) 2021", "cfp": { "name": "home_call.pdf", "type": "application/pdf", "error": "0", "size": "367194", "orig_name": "home_call.pdf", "ext": "pdf" }, "date_from": "2021-08-06", "event": "The 1st International Workshop on Security for XR and XR for Security (VR4Sec) at Symposium On Usable Privacy and Security (SOUPS) 2021", "lecturer": [ 1881 ], "open_access": "yes", "pages": "4", "pages_from": "1", "pages_to": "4", "publisher": "USENIX Conference Proceedings", "research_areas": [ "VR" ], "keywords": [ "robotics", "security", "Virtual Reality", "ROS" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 670, "image_height": 699, "name": "Mortezapoor2021ssc-image.png", "type": "image/png", "size": 653220, "path": "Publication:Mortezapoor2021ssc", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Mortezapoor2021ssc-paper.pdf", "type": "application/pdf", "size": 1932989, "path": "Publication:Mortezapoor2021ssc", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/", "__class": "Publication" }, { "id": "Preymann-2022-pytamashii", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Scripting Automation for Tamashii", "date": "2023-09", "abstract": "We extend the Tamashii scientific rendering framework with an interface to the Python scripting language to automate the process of documenting and comparing results of different approaches, simplifying the development of experimental code, and seamlessly integrating with existing libraries. The framework is a research platform enabling the implementation of various graphics processing unit (GPU) driven (differentiable) rendering tasks and is currently under development by the institute for computer graphics at TU Wien. Tamashii offers a large set of premade functionality common to these workflows that can be leveraged by researchers to create their own custom implementations. The focus of this thesis is the integration of the Python programming language into the framework in a way that benefits all projects utilizing Tamashii in their research. With this addition the steps of loading scenes, configuring the rendering process and exporting the generated data can now be controlled using scripting. Furthermore, with the ability to employ Python directly, access to the whole ecosystem of third party software and libraries opens up, which includes many prevalent projects for optimization and machine learning algorithms. In this thesis we identify the required features and properties of such an interface, explain the design process, give technical details on the realization and finally evaluate the result by demonstrating its use.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5199 ], "date_end": "2023-09", "date_start": "2022-10", "matrikelnr": "e12020638", "supervisor": [ 193, 1946, 1525 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Preymann-2022-pytamashii-BSc thesis.pdf", "type": "application/pdf", "size": 7488242, "path": "Publication:Preymann-2022-pytamashii", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/", "__class": "Publication" }, { "id": "rasoulzadeh-2022-strokes2surface", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153311", "title": "Strokes2Surface: Recovering Curve Networks from 4D Architectural Design Sketches for Shape Inference", "date": "2022-10-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5233, 193, 1799 ], "date_from": "2022-10-10", "date_to": "2022-10-12", "event": "Advance AEC Autumn School", "lecturer": [ 5233 ], "research_areas": [], "keywords": [ "Architectural Geometry", "Concept Design", "Digital Modeling", "Machine Learning", "Curve Networks", "Shape Inference" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rasoulzadeh-2022-strokes2surface/", "__class": "Publication" }, { "id": "rasoulzadeh-2024-strokes2surface", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208007", "title": "Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches", "date": "2024-05", "abstract": "We present Strokes2Surface, an offline geometry reconstruction pipeline that recovers well-connected curve networks from imprecise 4D sketches to bridge concept design and digital modeling stages in architectural design. The input to our pipeline consists of 3D strokes' polyline vertices and their timestamps as the 4th dimension, along with additional metadata recorded throughout sketching. Inspired by architectural sketching practices, our pipeline combines a classifier and two clustering models to achieve its goal. First, with a set of extracted hand-engineered features from the sketch, the classifier recognizes the type of individual strokes between those depicting boundaries (Shape strokes) and those depicting enclosed areas (Scribble strokes). Next, the two clustering models parse strokes of each type into distinct groups, each representing an individual edge or face of the intended architectural object. Curve networks are then formed through topology recovery of consolidated Shape clusters and surfaced using Scribble clusters guiding the cycle discovery. Our evaluation is threefold: We confirm the usability of the Strokes2Surface pipeline in architectural design use cases via a user study, we validate our choice of features via statistical analysis and ablation studies on our collected dataset, and we compare our outputs against a range of reconstructions computed using alternative methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5233, 193, 5429, 1799 ], "articleno": "e15054", "doi": "10.1111/cgf.15054", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "2", "pages": "16", "pages_from": "1", "pages_to": "16", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "CCS Concepts", "Computer graphics", "Computing methodologies → Artificial intelligence", "Machine learning" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/rasoulzadeh-2024-strokes2surface/", "__class": "Publication" }, { "id": "reisinger-2023-iad", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/188467", "title": "Integrating AEC Domain-Specific Multidisciplinary Knowledge for Informed and Interactive Feedback in Early Design Stages", "date": "2023-10", "abstract": "In the context of digitalization in the industry, a variety of technologies has been developed for system integration and enhanced team collaboration in the Architecture, Engineering and Construction (AEC) industry. Multidisciplinary design requirements are characterized by a high degree of complexity. Early design methods often rely on implicit or experiential design knowledge, whereas contemporary digital design tools mostly reflect domain-specific silo thinking with time-consuming iterative design processes. Yet, the early design stages hold the greatest potential for design optimization. This paper presents a framework of a multidisciplinary computational integration platform for early design stages that enables integration of AEC domain-specific methods from architecture, engineering, mathematics and computer science. The platform couples a semantic integrative mixed reality sketching application to a shape inference machine-learning based algorithm to link methods for different computation, simulation and digital fabrication tasks. A proof of concept of the proposed framework is presented for the use case of a freeform geometry wall. Future research will explore the potential of the framework to be extended to larger building projects with the aim to connect the method into BIM-processes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1874, 5233, 1487, 240, 1712, 5202, 1799, 193 ], "booktitle": "Advances in Information Technology in Civil and Building Engineering: Proceedings of ICCCBE 2022 - Volume 2", "date_from": "2022-10-26", "date_to": "2022-10-28", "doi": "10.1007/978-3-031-32515-1_12", "event": "19th International Conference on Computing in Civil and Building Engineering (ICCCBE 2022)", "isbn": "978-3-031-32515-1", "lecturer": [ 1874 ], "location": "Cape Town", "pages": "18", "pages_from": "153", "pages_to": "170", "publisher": "Springer", "volume": "358", "research_areas": [ "Modeling" ], "keywords": [ "Integrated Design", "Early Design Stage", "Mixed Reality Sketching", "Shape Inference", "Computational Design", "Integration Platform", "Digital Fabrication" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/reisinger-2023-iad/", "__class": "Publication" }, { "id": "Schwengerer_Mathias-2022-BGL", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Inverse Method for Baked Lighting", "date": "2023-08-23", "abstract": "In this thesis, we present a novel application of inverse rendering through the use case of estimating light source parameters from baked lighting information bundled with a 3D scene.\nAs input, we use a scene file that contains the geometry and the baked lighting information of a scene.\nThe extracted scene information is then used to estimate a lighting configuration.\nWith the resulting lighting configuration, it is possible to reproduce a closely matched shading of the scene.\n\nBecause of hardware limitations, real-time rendering applications such as video games have historically provided limited realism in terms of lighting.\nBaked lighting was a common method used to illuminate the scene under real-time constraints.\nNowadays, hardware-supported ray tracing enables dynamic lighting and global illumination in real time.\nOur method aims to build a physically based lighting setup that comes as close to the baked lightmaps as possible.\nThis reconstructed lighting setup allows the relighting of the scene through advanced rendering effects such as dynamic lighting, indirect lighting, reflections, refractions, and soft shadows.\nThis could facilitate the process of bringing classic games up to modern standards, especially when the original data is unavailable or lost.\n\nThis project relies on a differentiable rendering framework under development in the Rendering and Modeling Group (Prof. Wimmer, TU Wien).\nThe goal of this bachelor's thesis is to evaluate and demonstrate the capabilities of an inverse rendering method built on this system.\nSpecifically, we aim to estimate light sources from existing precalculated lightmaps used in the game Quake III Arena.\nFor this purpose, our first step is to extract the geometry and lightmaps from a scene file, import the data into the rendering framework, and then implement a suitable optimization scheme to construct new light sources.\nWith these new light sources, we can render the scenes using ray tracing and global illumination to achieve realistic lighting effects, including indirect lighting, accurate reflections, and soft shadows.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1916 ], "date_end": "2023-08-23", "date_start": "2021-12-22", "matrikelnr": "e1527875", "supervisor": [ 193, 1525, 1946 ], "research_areas": [ "Rendering" ], "keywords": [ "lighting", "inverse rendering", "optimization" ], "weblinks": [], "files": [ { "description": "main document", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Schwengerer_Mathias-2022-BGL-Thesis.pdf", "type": "application/pdf", "size": 4753811, "path": "Publication:Schwengerer_Mathias-2022-BGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/", "__class": "Publication" }, { "id": "steinkellner-2022-dll", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "Deep learning for lighting evaluation", "date": "2022-09-28", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Room lighting", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 800, "preview_image_width": 360, "preview_image_height": 240, "name": "steinkellner-2022-dll-Room lighting.png", "type": "image/png", "size": 649810, "path": "Publication:steinkellner-2022-dll", "preview_name": "steinkellner-2022-dll-Room lighting:preview.png", "preview_type": "image/png", "preview_size": 91386, "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5255 ], "date_start": "2022-09-28", "matrikelnr": "e11705362", "supervisor": [ 1949, 193 ], "research_areas": [ "Modeling", "Perception" ], "keywords": [ "lighting", "deep learning" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/courses/projekte/Deep-Learning-Lighting-Evaluation", "caption": "Topic", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "Room lighting", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 800, "preview_image_width": 360, "preview_image_height": 240, "name": "steinkellner-2022-dll-Room lighting.png", "type": "image/png", "size": 649810, "path": "Publication:steinkellner-2022-dll", "preview_name": "steinkellner-2022-dll-Room lighting:preview.png", "preview_type": "image/png", "preview_size": 91386, "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/", "__class": "Publication" }, { "id": "ulschmid-2024-reo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/195927", "title": "Real-Time Editing of Path-Traced Scenes with Prioritized Re-Rendering", "date": "2024-02", "abstract": "With recent developments in GPU ray tracing performance and (AI-accelerated) noise reduction techniques, Monte Carlo Path Tracing at real-time rates becomes a viable solution for interactive 3D scene editing, with growing support in popular software. However, even for minor edits (e.g., adjusting materials or moving small objects), current solutions usually discard previous samples and the image formation process is started from scratch. In this paper, we present two adaptive, priority-based re-rendering techniques with incremental updates, prioritizing the reconstruction of regions with high importance, before gradually moving to less important regions. The suggested methods automatically identify and schedule sampling and accumulation of immediately affected regions. An extensive user study analyzes whether such prioritized renderings are beneficial to interactive scene editing, comparing them with same-time conventional re-rendering. Our evaluation shows that even with simple prio rity policies, there is a significant preference for such incremental rendering techniques for interactive editing of small objects over full-screen re-rendering with denoising.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 323, "name": "ulschmid-2024-reo-teaser.png", "type": "image/png", "size": 254543, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "booktitle", "repositum_presentation_id": null, "authors": [ 1954, 1650, 1030, 193 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP and VISIGRAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012324600003660", "editor": "Bashford-Rogers, Thomas and Meneveaux, Daniel and Ziat, Mounia and Ammi, Mehdi and Jänicke, Stefan and Purchase, Helen and Bouatouch, Kadi and Sousa, Augusto A.", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-679-8", "lecturer": [ 1954 ], "location": "Rom", "note": "Best student paper award", "pages": "12", "pages_from": "46", "pages_to": "57", "research_areas": [], "keywords": [ "ray tracing", "user study", "editing" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Prioritized-ReRendering", "caption": "GitHub", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ulschmid-2024-reo-paper.pdf", "type": "application/pdf", "size": 14987716, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 323, "name": "ulschmid-2024-reo-teaser.png", "type": "image/png", "size": 254543, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ulschmid-2024-reo-video.mp4", "type": "video/mp4", "size": 38712872, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:video.mp4" } ], "projects_workgroups": [ "d9275", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/", "__class": "Publication" }, { "id": "ulschmid-2025-apc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/215609", "title": "Automated Prioritization for Context-Aware Re-rendering in Editing", "date": "2025", "abstract": "Real-time Monte Carlo path tracing has become a feasible option for interactive 3D scene editing due to recent advancements in GPU ray tracing performance, as well as (AI-accelerated) denoising techniques. While it is thus gaining increasing support in popular modeling software, even minor edits such as adjusting materials or moving small objects typically require current solutions to discard previous samples and restart the image formation process from scratch. A recent solution introduced two adaptive, priority-based re-rendering techniques implementing incremental updates while focusing first on reconstructing regions of high importance and gradually addressing less critical areas. An extensive user study compared these prioritized renderings with conventional same-time re-rendering to evaluate their effectiveness for interactive scene editing. Results indicate a significant preference for incremental rendering techniques for editing small objects over traditional full-screen re-rendering with denoising, even with basic priority policies. Building upon these results, we revisit the underlying design choices and derive more sophisticated priority policies that respect global illumination effects (shadows and reflections) as well as employing attention-based techniques (based either on eye tracking to prioritize areas in the user’s gaze or, alternatively, using the cursor position).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1501, "image_height": 930, "name": "ulschmid-2025-apc-image.webp", "type": "image/webp", "size": 91268, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1954, 1030, 193, 1650 ], "ac_number": "AC17528723", "articleno": "353", "doi": "10.1007/s42979-025-03863-z", "issn": "2661-8907", "journal": "SN Computer Science", "number": "2025", "open_access": "yes", "pages": "14", "publisher": "Springer Nature", "volume": "6", "research_areas": [ "Rendering" ], "keywords": [ "Path Tracing", "Scene editing", "Adaptive rendering", "empirical studies" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Prioritized-ReRendering", "caption": "GitHub", "description": "GitHub", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1501, "image_height": 930, "name": "ulschmid-2025-apc-image.webp", "type": "image/webp", "size": 91268, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ulschmid-2025-apc-paper.pdf", "type": "application/pdf", "size": 1866148, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/", "__class": "Publication" }, { "id": "unterguggenberger-2023-vaw", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/175991", "title": "Vulkan all the way: Transitioning to a modern low-level graphics API in academia", "date": "2023-04", "abstract": "For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU, which allows a high level of controllability and, thereby, deep insights into the inner workings of modern GPUs. This property makes the Vulkan API especially well suitable for teaching graphics programming in university education, where fundamental knowledge shall be conveyed. Hence, it stands to reason that educators who have their students’ best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in both introductory and advanced graphics courses side-by-side with conventional OpenGL. A collection of surveys enables us to draw conclusions about perceived workload, difficulty, and students’ acceptance of either approach. In doing so, we identify suitable conditions and recommendations for teaching Vulkan to both undergraduate and graduate students.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1216, "image_height": 1216, "name": "unterguggenberger-2023-vaw-image.png", "type": "image/png", "size": 1536211, "path": "Publication:unterguggenberger-2023-vaw", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1650, 193 ], "doi": "10.1016/j.cag.2023.02.001", "issn": "1873-7684", "journal": "Computers and Graphics", "open_access": "yes", "pages": "11", "pages_from": "155", "pages_to": "165", "publisher": "Elsevier", "volume": "111", "research_areas": [], "keywords": [ "GPU", "Graphics API", "Programming framework", "Real-time rendering", "Teaching", "Vulkan" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/VulkanLaunchpad", "caption": "Vulkan Launchpad", "description": "A framework by TU Wien targeted at Vulkan beginners.", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk", "caption": "Auto-Vk", "description": "A low-level convenience and productivity layer for Vulkan", "main_file": 1 }, { "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit", "caption": "Auto-Vk-Toolkit", "description": "C++ framework atop Auto-Vk for rapid prototyping, research, and teaching.", "main_file": 1 }, { "href": "https://education.siggraph.org/cgsource/content/road-vulkan-teaching-vulkan-introductory-graphics-courses", "caption": "\"The Road to Vulkan\" at cgSource", "description": "Entry at the ACM SIGGRAPH Education Committee's cgSource repository.", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1216, "image_height": 1216, "name": "unterguggenberger-2023-vaw-image.png", "type": "image/png", "size": 1536211, "path": "Publication:unterguggenberger-2023-vaw", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2023-vaw-paper.pdf", "type": "application/pdf", "size": 972237, "path": "Publication:unterguggenberger-2023-vaw", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/", "__class": "Publication" }, { "id": "wimmer-2022-acd", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/101881", "title": "Advanced Computational Design – digitale Methoden für die frühe Entwurfsphase", "date": "2022-08-26", "abstract": "Advanced Computational Design. The SFB Advanced Computational Design addresses the research question of how to advance design tools and processes through multi- and interdisciplinary basic research. We will develop advanced computational design tools in order to improve design quality and efficiency of processes in architecture and construction. The proposed research is structured in three areas: design methodology (A1), visual and haptic design interaction (A2) and form finding (A3). A1 focuses on the conceptual basis for new digital methods of design based on machine learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form finding will be explored through physical experiments, which will allow for reconsidering model assumptions and constraints, validating the developed algorithmic approaches, and finding new ones.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "ACD logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 699, "image_height": 762, "name": "wimmer-2022-acd-ACD logo.png", "type": "image/png", "size": 203297, "path": "Publication:wimmer-2022-acd", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 1799, 240, 1063, 5202, 5203, 5204, 378, 5205, 5206, 5207, 5208, 5209, 5210, 1946, 1559 ], "doi": "10.1002/bate.202200057", "issn": "1437-0999", "journal": "Bautechnik", "number": "10", "open_access": "no", "pages": "11", "pages_from": "720", "pages_to": "730", "publisher": "ERNST & SOHN", "volume": "99", "research_areas": [], "keywords": [ "Building materials", "CAD – IT/Automatical/CAD", "design interaction", "design methodology", "Digital design/Optimization", "digitalization", "form finding", "simulation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "ACD logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 699, "image_height": 762, "name": "wimmer-2022-acd-ACD logo.png", "type": "image/png", "size": 203297, "path": "Publication:wimmer-2022-acd", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo:thumb{{size}}.png" }, { "description": null, "filetitle": "First Submitted Version", "main_file": false, "use_in_gallery": false, "access": "public", "name": "wimmer-2022-acd-First Submitted Version.pdf", "type": "application/pdf", "size": 882460, "path": "Publication:wimmer-2022-acd", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-First Submitted Version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-First Submitted Version:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/", "__class": "Publication" }, { "id": "wimmer-2023-acd", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/188946", "title": "Advanced Computational Design", "date": "2023-10-07", "abstract": "Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society (New European Bauhaus initiative). However, it is among the least digitized industries, caught in silo-thinking and sequential planning processes. In contrast, Information and Communication Technology creates digital design tools that are well-founded in basic research, but often lack relevant domain knowledge. Therefore, we investigate how to advance digital design tools and design processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics. Particular focus will be placed on complexity that emerges from larger-scale structures, consideration of sustainability requirements, and deeper integration of simulations in the early design phase, where the biggest impact can be achieved.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2023-10-04", "date_to": "2023-10-07", "event": "Advances in Architectural Geometry 2023", "lecturer": [ 193 ], "location": "Stuttgart", "research_areas": [ "Modeling" ], "keywords": [ "Computational Design", "Architecture" ], "weblinks": [], "files": [], "projects_workgroups": [ "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wimmer-2023-acd/", "__class": "Publication" }, { "id": "Zezulka_Matthias-2023-MatLabOptInterface", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Bidirectional MATLAB/C++ Interface for Lighting Design Optimization", "date": "2023-12", "abstract": "The lighting design of (virtual) space is an important aspect of our daily environment. It\nnot only allows for creative expression but is often a necessary asset in professional work\nenvironments and artistic productions. However, due to the computational complexity of\nthis problem, current solutions are usually built in performance-oriented programming\nlanguages that offer a detailed low-level view of the application on the one hand but\ndo not allow for fast development and easy exchange of algorithms on the other. This\nwork builds on the already existing C++ rendering framework Tamashii, proposed\nby Lipp et al. in 2023 [20], which offers view-independent and gradient-based global\nlighting design optimization. We propose a way to integrate MATLAB functions into the\noptimization process in order to not only allow for easier development of optimization\nalgorithms but also enable access to MATLAB’s existing code base and numerical analysis\ntools. We therefore implement a bidirectional MATLAB/C++ interface for exchanging\noptimization data between the rendering process and the MATLAB process. In order to\nachieve this functionality, we use the MATLAB Engine API for C++ and the MATLAB\nMEX API, which are both natively contained within MATLAB. Further, we implement a\nmechanism for inter-process communication using Windows Named Pipes and a custom\ncommunication protocol.\nIn addition, this work also briefly discusses various optimization methods and the use\nof Surrogate-Based Optimization (SBO) for the global lighting design problem. We\nshow that our method achieves great performance and evaluate it against plain C++\nimplementations on two test scenes by not only testing optimization methods via the\ninterface but also testing simple rendering of new lighting configurations. The test results\nalso show that MALTAB’s current SBO implementation can bring good performance to\nthe optimization problem we encounter in Tamashii in certain scenes. Lastly, we discuss\nthe increased usability and insight into optimization methods achieved by integrating\nMATLAB into Tamashii.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5257 ], "date_end": "2023-12-18", "date_start": "2023-03-15", "matrikelnr": "e11914298", "supervisor": [ 193, 1946 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "BSc Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf", "type": "application/pdf", "size": 4185305, "path": "Publication:Zezulka_Matthias-2023-MatLabOptInterface", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d10164", "workgroup_id": "vis", "drupal_id": 10164, "drupal_path": "/research/projects/ClimaSens", "name": "Climate-sensitive Adaptive Planning for Shaping Resilient Cities", "name_de": "Climate-sensitive Adaptive Planning for Shaping Resilient Cities", "short_title": "ClimaSens", "website": null, "status": "active", "short_abstract": null, "abstract": "This project aims to realize an interactive scenario-based simulation framework with integrated microclimate simulation, data analysis, and visualization for decision support in urban planning. We want to enable workflows for planning mitigation measures interactively during a live session. This requires significant advancements in the execution of and interaction with simulation scenarios and insightful visualization of the resulting data, which we will research in this project.
\nOne goal of this project is designing a highly efficient urban microclimate model system and its integration into a dynamic data flow system enabling interactive simulation steering. We seek to adapt PALM-4U, the state-of-the-art climate model system PALM 6.0 for applications in urban areas, to multi-GPU systems in order to combine its high reliability and functionality with the high computational performance needed for interactive workflows. For even higher performance in tasks that do not require the highest accuracy, such as parameter space exploration, we aim at a surrogate model based on a neural network to provide near-instant feedback.
", "start_date": "2024-01-01", "end_date": "2027-12-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", 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"Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d9522", "workgroup_id": "vis", "drupal_id": 9522, "drupal_path": "/research/projects/VaCoViCu2", "name": "Visual Analytics and Computer Vision meet Cultural Heritage", "name_de": "Visuelle Analytik und Computer Vision treffen auf kulturelles Erbe", "short_title": "VaCoViCu2", "website": "http://www.visual-heritage.at", "status": "active", "short_abstract": null, "abstract": "Wider research context/theoretical framework
\nIn the last decades, archives and museums made extensive efforts to foster the digital preservation of cultural heritage (CH) artifacts such as historical photographs and amateur films. These collections of digitized artifacts offer immense potential to increase the knowledge of our heritage by investigating patterns and relationships. The systematic analysis and presentation of these large amounts of visual media data are, however, still strongly limited due to the lack of metadata and suitable analysis approaches. This impedes historians and film archivists but also lay users in analyzing, interpreting, and thereby preserving the memories of human cultural history.
\nHypotheses/research questions/objectives
\nOur cooperative doctoral programme aims to close basic and applied research gaps by combining computer vision (CV) and visual analytics (VA). We jointly work on the advancement of interactive analysis, exploration, and presentation of historical visual media collections. The central hypothesis behind this is that combining CV and VA is necessary to unlock large cultural heritage collections and open them to a wide range of users.
\nApproach/methods
\nWe follow a problem-driven research paradigm determined by the cultural heritage domain. We leverage human-in-the-loop machine learning (ML) and integrate CV and VA methods for the analysis of cultural objects and their relationships across space and time. This includes ML, information retrieval and CV for analysis as well as situated visualization and storytelling for exploration and presentation. We quantitatively evaluate the results against ground truth annotations and through user studies.
\nFaculty
\nThe project is a collaboration of researchers from St. Pölten University of Applied Sciences (FHSTP) and TU Wien. Seven faculty members contribute complementary research expertise on CV, VA, and CH across basic and applied research. The project shall elevate the existing scholarly ties between FHSTP and TU Wien to a new level of inter-institutional cooperation.
\nDoctoral programme
\nThe doctoral programme foresees 5 thematically related PhDs. The topics focus on the interactive analysis of visual media in cultural heritage collections and complement each other in terms of methods, use cases, and addressed users. Each topic is supervised by a team of 2-3 researchers (at least one from each institution), and a comprehensive education and training programme tailored to research is provided.
\nAdded value
\nAdded value is generated at multiple levels: 1) embedding doctoral students in a team of high profile visual computing researchers; 2) increasing junior faculty members’ experience in supervision skills; 3) leveraging the complementary strengths of applied and basic research; 4) sharing of resources between institutions; 5) opening up large cultural heritage collections to a wide range of users by combining CV and VA.
", "start_date": "2023-10-01", "end_date": "2027-09-30", "leader_id": { "id": 1110, "drupal_id": 625, "orcid_id": "0000-0003-1387-5132", "website": "https://www.cg.tuwien.ac.at/staff/ManuelaWaldner", "firstname": "Manuela", "lastname": "Waldner", "searchname": "Manuela Waldner", "is_teacher": true, "name": "Manuela Waldner", "publications": [ "2019-ic", "aigner-2025-vhv", "Alharbi_2021", "bayat-2024-awt", "bernhard-2016-gft", "boffi-2024-bagginghook", "byska-2019-mdfc", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "geymayer-2017-std", "grammatikaki-2025-htr", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "heim-2024-accustripes", "indirectBiasLanguageModels-2023", "komon-2025-dco", "komon-2025-webigeo", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "matt-2024-cvil", "matt-2025-scv", "mazurek-2018-veq", "pahr-2024-ieo", "polatsek-2018-stv", "reina-2020-mtv", "sietzen-2021-perturber", "sietzen-ifv-2019", "sMolBoxes_2022", "sorger-2019-odn", 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"url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1110", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:d9522", "type": "image/png", "size": 17914, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d9522/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", 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"deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [ { "id": "aigner-2025-vhv", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/225207", "title": "Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage (doc.funds.connect)", "date": "2025-05-07", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5540, 966, 5541, 1511, 5542, 1110, 5370 ], "booktitle": "Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen", "date_from": "2025-05-07", "date_to": "2025-05-08", "event": "18. Forschungsforum Der Österreichischen Fachhochschulen", "lecturer": [ 5543 ], "location": "Wien", "pages": "2", "pages_from": "558", "pages_to": "559", "research_areas": [], "keywords": [ "Artificial Intelligence", "Visual Analytics", "Computer Vision", "Cultural Heritage", "Visualization", "Computer Science" ], "weblinks": [], "files": [], "projects_workgroups": [ "d9522" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/aigner-2025-vhv/", "__class": "Publication" }, { "id": "tekaya-2025-amo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/221607", "title": "A Matter of Time: Revealing the Structure of Time in Vision-Language Models", "date": "2025-10-27", "abstract": "Large-scale vision-language models (VLMs) such as CLIP have gained popularity for their generalizable and expressive multimodal representations. By leveraging large-scale training data with diverse textual metadata, VLMs acquire open-vocabulary capabilities, solving tasks beyond their training scope. This paper investigates the temporal awareness of VLMs, assessing their ability to position visual content in time. We introduce TIME10k, a benchmark dataset of over 10,000 images with temporal ground truth, and evaluate the time-awareness of 37 VLMs by a novel methodology. Our investigation reveals that temporal information is structured along a low-dimensional, non-linear manifold in the VLM embedding space. Based on this insight, we propose methods to derive an explicit ''timeline'' representation from the embedding space. These representations model time and its chronological progression and thereby facilitate temporal reasoning tasks. Our timeline approaches achieve competitive to superior accuracy compared to a prompt-based baseline while being computationally efficient. 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"event": "ACM International Conference on Multimedia 2025", "isbn": "979-8-4007-2035-2", "lecturer": [ 5330 ], "location": "Dublin", "open_access": "yes", "pages": "10", "pages_from": "12371", "pages_to": "12380", "research_areas": [ "InfoVis" ], "keywords": [ "Multimodal representations", "Vision-language models", "Time modeling", "Time estimation", "Benchmark dataset" ], "weblinks": [ { "href": "https://tekayanidham.github.io/timeline-page/", "caption": null, "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1536, "image_height": 458, "name": "tekaya-2025-amo-teaser.png", "type": "image/png", "size": 4646052, "path": "Publication:tekaya-2025-amo", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d10070", "workgroup_id": "rend", "drupal_id": 10070, "drupal_path": "/research/projects/GreenFDT", "name": "Green Facade Digital Twin", "name_de": "Green Facade Digital Twin", "short_title": "GreenFDT", "website": null, "status": "active", "short_abstract": null, "abstract": null, "start_date": "2025-01-13", "end_date": "2027-07-12", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "rasoulzadeh-2024-strokes2surface", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "santos-2017-dacge", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", 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"Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", 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"TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d10169", "workgroup_id": "rend", "drupal_id": 10169, "drupal_path": "/research/projects/Room-Imagineer", "name": "Erfassungs- und Modellierungstool zur akustischen, visuellen und räumlichen Gestaltung hybrider Meetingräume", "name_de": "Erfassungs- und Modellierungstool zur akustischen, visuellen und räumlichen Gestaltung hybrider Meetingräume", "short_title": "Room Imagineer", "website": null, "status": "active", "short_abstract": "The goal of this project is to research automated design for meeting and conference rooms. The main items are desks, chairs, audio and video equipment. Based on a 3D model of a room provided at input, at TU Wien we investigate concepts for:
The choices are interconnected, influencing each other. Our plan is to filter the available space for placement options and propose a metric representing the setup regarding the visibility of meeting participants and expected picture quality. The best design will be presented at the output.
We will approach this problem as a multi-variate optimization in discrete space. Collisions and visibility will rule out many combinations. Further ergonomic constraints will narrow down the space of feasible solutions. The candidate setups will be judged by the metric to select the most suitable for the given shape and parameters of the input room.
", "abstract": "The goal of this project is to research automated design for meeting and conference rooms. The main items are desks, chairs, audio and video equipment. Based on a 3D model of a room provided at input, at TU Wien we investigate concepts for:
The choices are interconnected, influencing each other. Our plan is to filter the available space for placement options and propose a metric representing the setup regarding the visibility of meeting participants and expected picture quality. The best design will be presented at the output.
We will approach this problem as a multi-variate optimization in discrete space. Collisions and visibility will rule out many combinations. Further ergonomic constraints will narrow down the space of feasible solutions. The candidate setups will be judged by the metric to select the most suitable for the given shape and parameters of the input room.
", "start_date": "2024-06-01", "end_date": "2027-05-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "rasoulzadeh-2024-strokes2surface", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "santos-2017-dacge", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer2011c", "scherzer2011d", "SCHUETZ-2015-HQP", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "SSMW09", "stappen_SteFAS", "steiner_2016_isad", "STEINLECHNER-2019-APS", "STURN-2013-LGI", "STURN-2013-LSI", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-12-01", "ulschmid-2024-reo", "ulschmid-2025-apc", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "wallner-2015-ModelingRoutinization", "WEBER-2015-PRA", "Wimmer-1996-ITB", "Wimmer-1997-ITT", "Wimmer-1998-Fas", "Wimmer-1998-SMO", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-CCL", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "Wimmer-2006", "WIMMER-2006-CES", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Wimmer-thesis", 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"Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", 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Optimal Path Guiding for Photorealistic Rendering", "name_de": "Toward Optimal Path Guiding for Photorealistic Rendering", "short_title": "PathGuideWWTF", "website": "https://www.cg.tuwien.ac.at/research/projects/PathGuideWWTF", "status": "active", "short_abstract": null, "abstract": "Photorealistic rendering, which is essential for many applications, involves evaluating complicated integrals. These integrals are predominantly approximated with a Monte Carlo method called path tracing. Unfortunately, this method generally requires many samples and therefore long computation times for noiseless images. Recently, so-called path-guiding techniques have been introduced, which gather knowledge about the integrands to facilitate sampling. In this project, we seek to identify and exploit untapped potential in path guiding to provide significant improvements in this active line of research. The two principal problems in path guiding are i) representing gathered knowledge and ii) sampling using that representation. We strive toward the ideal of optimal path guiding (considering practical constraints), which leads us to our main research questions: Q1. How can we represent path-guiding knowledge optimally? Q2. How can we sample optimally using that representation? We pursue two novel key ideas for possible answers: For Q1, we cast the problem of representing knowledge as a mathematical optimization problem, enabling us to exploit the knowledge and methods from the field of optimization. For Q2, we introduce “scalable product importance sampling”: adapting sampling accuracy as required to economize on resources. We see great potential for synergies between the two ideas and for them to open up new lines of investigation, thereby inspiring many follow-up works.
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"thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d9259/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "eickmeyer-2027-tcd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Tile Coding for Directional Path Guiding", "date": "2027-01", "abstract": "Path guiding is a promising Monte Carlo ray tracing technique in physically based rendering (PBR) that leverages information about the scene to improve convergence and reduce image noise. By employing data structures that approximate the incident radiance, such algorithms are capable of making informed decisions about where to send future rays. However, even though minimizing noise is a major goal in path guiding, current state-of-the-art techniques barely take the underlying sample noise into account when building guiding distributions, solely relying on the illumination itself. To address this issue, this thesis proposes two novel data structures based on tile coding, a discrete data structure that has seen success in reinforcement learning due to its high degree of generalization. By making use of its advantages in combination with a data-driven approach to quantify sample noise, the data structures approximate the incident radiance with a higher level of detail, while minimizing typical issues other discrete data structures exhibit. To prove their effectiveness, the data structures are compared on a dataset of 446 environment maps against discrete and continuous state-of-the-art approaches, outperforming them in their ability to represent the incident radiance field in the majority of equal-sample comparisons. As part of a larger project, this work provides the directional data structure as the foundation for an upcoming complete path guiding algorithm.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5504 ], "date_end": "2025-11-11", "date_start": "2024-07-10", "matrikelnr": "11905167", "supervisor": [ 193, 1129 ], "research_areas": [ "Rendering" ], "keywords": [ "physically based rendering, Monte Carlo rendering, path tracing, importance sampling, path guiding, data structures" ], "weblinks": [], "files": [], "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2027/eickmeyer-2027-tcd/", "__class": "Publication" }, { "id": "freude-2023-prh", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/190854", "title": "Precomputed radiative heat transport for efficient thermal simulation", "date": "2023-11", "abstract": "Architectural design and urban planning are complex design tasks. Predicting the thermal impact of design choices at interactive rates enhances the ability of designers to improve energy efficiency and avoid problematic heat islands while maintaining design quality. We show how to use and adapt methods from computer graphics to efficiently simulate heat transfer via thermal radiation, thereby improving user guidance in the early design phase of large-scale construction projects and helping to increase energy efficiency and outdoor comfort. Our method combines a hardware-accelerated photon tracing approach with a carefully selected finite element discretization, inspired by precomputed radiance transfer. This combination allows us to precompute a radiative transport operator, which we then use to rapidly solve either steady-state or transient heat transport throughout the entire scene. Our formulation integrates time-dependent solar irradiation data without requiring changes in the transport operator, allowing us to quickly analyze many different scenarios such as common weather patterns, monthly or yearly averages, or transient simulations spanning multiple days or weeks. We show how our approach can be used for interactive design workflows such as city planning via fast feedback in the early design phase.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, "sync_repositum_override": "date,date_from,date_to,event,lecturer,pages_from,pages_to", "repositum_presentation_id": null, "authors": [ 1128, 1946, 1063, 1525, 193 ], "articleno": "e14957", "date_from": "2023-11", "date_to": "2023-11", "doi": "10.1111/cgf.14957", "event": "Pacific Graphics 2023", "first_published": "2023-11", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "7", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "42", "research_areas": [ "Rendering" ], "keywords": [ "thermal radiation", "rendering", "computer graphics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 895, "image_height": 395, "name": "freude-2023-prh-image.png", "type": "image/png", "size": 368081, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2023-prh-paper.pdf", "type": "application/pdf", "size": 10540215, "path": "Publication:freude-2023-prh", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/", "__class": "Publication" }, { "id": "freude-2025-iso", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216172", "title": "Inverse Simulation of Radiative Thermal Transport", "date": "2025-04-17", "abstract": "The early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems. In this paper, we present an inverse simulation of radiative heat transport and a differentiable photon-tracing approach. Our method utilizes GPU-accelerated ray tracing to speed up both the forward and adjoint simulation. Moreover, we incorporate matrix compression to further increase the efficiency of our thermal solver and support larger scenes. In addition to our differentiable photon-tracing approach, we introduce a novel approximate edge sampling scheme that re-uses primary samples instead of relying on explicit edge samples or auxiliary rays to resolve visibility discontinuities. Our inverse simulation system enables designers to not only predict the temperature distribution, but also automatically optimize the design to improve thermal comfort and avoid problematic configurations. We showcase our approach using several examples in which we optimize the placement of buildings or their facade geometry. Our approach can be used to optimize arbitrary geometric parameterizations and supports steady-state, as well as transient simulations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, "sync_repositum_override": "date_from,date_to,event,lecturer,number,open_access,volume", "repositum_presentation_id": null, "authors": [ 1128, 1525, 5257, 1063, 193, 1946 ], "articleno": "e70048", "date_from": "2025", "date_to": "2025", "doi": "10.1111/cgf.70048", "event": "Eurographics 2025", "first_published": "2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "number": "2", "open_access": "yes", "pages": "14", "publisher": "WILEY", "volume": "44", "research_areas": [ "Rendering" ], "keywords": [ "Ray tracing", "Physical simulation", "Computer-aided design" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 960, "image_height": 540, "name": "freude-2025-iso-image.png", "type": "image/png", "size": 743750, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "freude-2025-iso-paper.pdf", "type": "application/pdf", "size": 13713470, "path": "Publication:freude-2025-iso", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/", "__class": "Publication" }, { "id": "hasbay-2026-tfo", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/226912", "title": "The Fellowship of Metalog BSDFs", "date": "2026-03-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "access,date,projects", "repositum_presentation_id": null, "authors": [ 5571 ], "ac_number": "AC17801614", "co_supervisor": [ 1129 ], "date_end": "2026-03-12", "date_start": "2025-07-28", "diploma_examina": "2026-03-12", "doi": "10.34726/hss.2026.134821", "matrikelnr": "01428723", "open_access": "yes", "pages": "233", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "physically based rendering", "material representation" ], "weblinks": [], "files": [], "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/hasbay-2026-tfo/", "__class": "Publication" }, { "id": "sakai-2024-asa", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/209940", "title": "A Statistical Approach to Monte Carlo Denoising", "date": "2024-12", "abstract": "The stochastic nature of modern Monte Carlo (MC) rendering methods inevitably produces noise in rendered images for a practical number of samples per pixel. The problem of denoising these images has been widely studied, with most recent methods relying on data-driven, pretrained neural networks. In contrast, in this paper we propose a statistical approach to the denoising problem, treating each pixel as a random variable and reasoning about its distribution. Considering a pixel of the noisy rendered image, we formulate fast pair-wise statistical tests—based on online estimators—to decide which of the nearby pixels to exclude from the denoising filter. We show that for symmetric pixel weights and normally distributed samples, the classical Welch t-test is optimal in terms of mean squared error. We then show how to extend this result to handle non-normal distributions, using more recent confidence-interval formulations in combination with the Box-Cox transformation. Our results show that our statistical denoising approach matches the performance of state-of-the-art neural image denoising without having to resort to any computation-intensive pretraining. Furthermore, our approach easily generalizes to other quantities besides pixel intensity, which we demonstrate by showing additional applications to Russian roulette path termination and multiple importance sampling.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1980, "image_height": 1320, "name": "sakai-2024-asa-Representative Image.jpg", "type": "image/jpeg", "size": 3344845, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png" }, "sync_repositum_override": "date,articleno", "repositum_presentation_id": null, "authors": [ 1129, 1128, 808, 1946, 193 ], "articleno": "68", "booktitle": "SA '24: SIGGRAPH Asia 2024 Conference Papers", "date_from": "2024-12-03", "date_to": "2024-12-06", "doi": "10.1145/3680528.3687591", "event": "SA '24: SIGGRAPH Asia 2024", "isbn": "979-8-4007-1131-2", "lecturer": [ 1129 ], "location": "Tokyo", "open_access": "yes", "pages": "11", "publisher": "Association for Computing Machinery", "research_areas": [ "Rendering" ], "keywords": [ "Monte Carlo rendering", "path tracing", "denoising", "image filtering", "statistics" ], "weblinks": [ { "href": "https://www.cg.tuwien.ac.at/StatMC", "caption": "Project Page", "description": null, "main_file": 1 } ], "files": { "0": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2024-asa-paper.pdf", "type": "application/pdf", "size": 11789710, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper:thumb{{size}}.png" }, "1": { "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1980, "image_height": 1320, "name": "sakai-2024-asa-Representative Image.jpg", "type": "image/jpeg", "size": 3344845, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "Supplementary Document", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sakai-2024-asa-Supplementary Document.pdf", "type": "application/pdf", "size": 10739991, "path": "Publication:sakai-2024-asa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document:thumb{{size}}.png" } }, "projects_workgroups": [ "d9259" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/", "__class": "Publication" }, { "id": "sakai-2025-stater", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/222799", "title": "Statistical Error Reduction for Monte Carlo Rendering", "date": "2025-12-14", "abstract": "Denoising is an important post-processing step in physically based Monte Carlo (MC) rendering. While neural networks are widely used in practice, statistical analysis has recently become a viable alternative for denoising. In this paper, we present a general framework for statistics-based error reduction of both estimated radiance and variance. Specifically, we introduce a novel denoising approach for variance estimates, which can either improve variance-aware adaptive sampling or provide additional input for image denoising in a cascaded manner. Furthermore, we present multi-transform denoising: a general and efficient correction scheme for non-normal distributions, which typically occur in MC rendering. All these contributions combine to a robust denoising pipeline that does not require any pretraining and can run efficiently on current GPU hardware. Our results show distinct advantages over previous denoising methods, especially in the range of a few hundred samples per pixel, which is of high practical relevance. Finally, we demonstrate good convergence behavior as the number of samples increases, providing predictable results with low bias that are free of hallucinated neural artifacts. In summary, our statistics-based algorithms for adaptive sampling and denoising deliver fast, consistent, low-bias variance and radiance estimates.", "authors_et_al": false, "substitute": null, "main_image": { "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).", "filetitle": "Representative Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1000, "name": "sakai-2025-stater-Representative Image.png", "type": "image/png", "size": 711915, "path": "Publication:sakai-2025-stater", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png" }, 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"akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d9275", "workgroup_id": "vis", "drupal_id": 9275, "drupal_path": "/research/projects/IVILPC", "name": "Instant Visualization and Interaction for Large Point Clouds", "name_de": null, "short_title": "IVILPC", "website": null, "status": "active", "short_abstract": "Point clouds are a quintessential 3D geometry representation format, and often the first model obtained from reconstructive efforts, such as LIDAR scans. IVILPC aims for fast, authentic, interactive, and high-quality processing of such point-based data sets. Our project explores high-performance software rendering routines for various point-based primitives, such as point sprites, gaussian splats, surfels, and particle systems. Beyond conventional use cases, point cloud rendering also forms a key component of point-based machine learning methods and novel-view synthesis, where performance is paramount. We will exploit the flexibility and processing power of cutting-edge GPU architecture features to formulate novel, high-performance rendering approaches. The envisioned solutions will be applicable to unstructured point clouds for instant rendering of billions of points. Our research targets minimally-invasive compression, culling methods, and level-of-detail techniques for point-based rendering to deliver high performance and quality on-demand. We explore GPU-accelerated editing of point clouds, as well as common display issues on next-generation display devices. IVILPC lays the foundation for interaction with large point clouds in conventional and immersive environments. Its goal is an efficient data knowledge transfer from sensor to user, with a wide range of use cases to image-based rendering, virtual reality (VR) technology, architecture, the geospatial industry, and cultural heritage.
\r\n", "abstract": "Point clouds are a quintessential 3D geometry representation format, and often the first model obtained from reconstructive efforts, such as LIDAR scans. IVILPC aims for fast, authentic, interactive, and high-quality processing of such point-based data sets. Our project explores high-performance software rendering routines for various point-based primitives, such as point sprites, gaussian splats, surfels, and particle systems. Beyond conventional use cases, point cloud rendering also forms a key component of point-based machine learning methods and novel-view synthesis, where performance is paramount. We will exploit the flexibility and processing power of cutting-edge GPU architecture features to formulate novel, high-performance rendering approaches. The envisioned solutions will be applicable to unstructured point clouds for instant rendering of billions of points. Our research targets minimally-invasive compression, culling methods, and level-of-detail techniques for point-based rendering to deliver high performance and quality on-demand. We explore GPU-accelerated editing of point clouds, as well as common display issues on next-generation display devices. IVILPC lays the foundation for interaction with large point clouds in conventional and immersive environments. Its goal is an efficient data knowledge transfer from sensor to user, with a wide range of use cases to image-based rendering, virtual reality (VR) technology, architecture, the geospatial industry, and cultural heritage.
\r\n", "start_date": "2023-07-02", "end_date": "2026-07-01", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", 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"publ_id": "zambal-2009-ami", "field_id": "co_supervisor", "ordernum": 1 }, { "publ_id": "Zaufel_2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zauner-2013-svkinect", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zechmeister2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zhu-2014-flowvis", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=166", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:d9275", "type": "image/png", "size": 268858, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d9275/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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", "abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
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The resulting point cloud data sets are so massive in size that even basic tasks like viewing take hours to days of pre-processing in order to create level-of-detail structures that allow inspecting the data set in their entirety in real time. In this paper, we propose a method that is capable of instantly visualizing massive country-sized scans with hundreds of billions of points. Upon opening the data set, we first load a sparse subsample of points and initialize an overview of the entire point cloud, immediately followed by a surface reconstruction process to generate higher-quality, hole-free heightmaps. As users start navigating towards a region of interest, we continue to prioritize the heightmap construction process to the user's viewpoint. Once a user zooms in closely, we load the full-resolution point cloud data for that region and update the corresponding height map textures with the full-resolution data. As users navigate elsewhere, full-resolution point data that is no longer needed is unloaded, but the updated heightmap textures are retained as a form of medium level of detail. Overall, our method constitutes a form of direct out-of-core rendering for massive point cloud data sets (terabytes, compressed) that requires no preprocessing and no additional disk space. Source code, executable, pre-trained model, and dataset are available at: https://github.com/cg-tuwien/lidarscout", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2456, "image_height": 1411, "name": "erler-2025-lidarscout-teaser.jpg", "type": "image/jpeg", "size": 421958, "path": "Publication:erler-2025-lidarscout", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,articleno", "repositum_presentation_id": null, "authors": [ 1395, 1857, 193, 1116 ], "articleno": "10.2312/hpg.20251170", "booktitle": "High-Performance Graphics 2025 - Symposium Papers", 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"https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Viewer.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/", "__class": "Publication" }, { "id": "goel-2024-rdr", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/204000", "title": "Real-Time Decompression and Rasterization of Massive Point Clouds", "date": "2024-08-09", "abstract": "Large-scale capturing of real-world scenes as 3D point clouds (e.g., using LIDAR scanning) generates billions of points that are challenging to visualize. High storage requirements prevent the quick and easy inspection of captured datasets on user-grade hardware. The fastest real-time rendering methods are limited by the available GPU memory and render only around 1 billion points interactively. We show that we can achieve state-of-the-art in both while simultaneously supporting datasets that surpass the capabilities of other methods. We present an on-the-fly point cloud decompression scheme that tightly integrates with software rasterization to reduce on-chip memory requirements by more than 4×. Our method compresses geometry losslessly and provides high visual quality at real-time framerates. We use a GPU-friendly, clipped Huffman encoding for compression. Point clouds are divided into equal-sized batches, which are Huffman-encoded independently. Batches are further subdivided to form easy-to-consume streams of data for massively parallel execution. The compressed point clouds are stored in an access-aware manner to achieve coherent GPU memory access and a high L1 cache hit rate at render time. Our approach can decompress and rasterize up to 120 million Huffman-encoded points per millisecond on-the-fly. We evaluate the quality and performance of our approach on various large datasets against the fastest competing methods. Our approach renders massive 3D point clouds at competitive frame rates and visual quality while consuming significantly less memory, thus unlocking unprecedented performance for the visualization of challenging datasets on commodity GPUs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1695, "image_height": 961, "name": "goel-2024-rdr-cover.jpg", "type": "image/jpeg", "size": 276042, "path": "Publication:goel-2024-rdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover:thumb{{size}}.png" }, "sync_repositum_override": "projects,date_from,date_to,event,lecturer,location", "repositum_presentation_id": null, "authors": [ 5402, 1116, 5403, 1650 ], "articleno": "48", "date_from": "2024-06-26", "date_to": "2024-06-28", "doi": "10.1145/3675373", "event": "High Performance Graphics", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1116 ], "location": "Denver, USA", "number": "3", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "Association for Computing Machinery (ACM)", "volume": "7", "research_areas": [ "Rendering" ], "keywords": [ "compression", "point cloud", "rasterization", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1695, "image_height": 961, "name": "goel-2024-rdr-cover.jpg", "type": "image/jpeg", "size": 276042, "path": "Publication:goel-2024-rdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/", "__class": "Publication" }, { "id": "kerbl-2024-ah3", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/220026", "title": "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets", "date": "2024-07-19", "abstract": "Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting offering an excellent level of visual quality, fast training and real-time rendering. However, the resources needed for training and rendering inevitably limit the size of the captured scenes that can be represented with good visual quality. We introduce a hierarchy of 3D Gaussians that preserves visual quality for very large scenes, while offering an efficient Level-of-Detail (LOD) solution for efficient rendering of distant content with effective level selection and smooth transitions between levels. We introduce a divide-and-conquer approach that allows us to train very large scenes in independent chunks. We consolidate the chunks into a hierarchy that can be optimized to further improve visual quality of Gaussians merged into intermediate nodes. Very large captures typically have sparse coverage of the scene, presenting many challenges to the original 3D Gaussian splatting training method; we adapt and regularize training to account for these issues. We present a complete solution, that enables real-time rendering of very large scenes and can adapt to available resources thanks to our LOD method. We show results for captured scenes with up to tens of thousands of images with a simple and affordable rig, covering trajectories of up to several kilometers and lasting up to one hour.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date_from,date_to,event,lecturer,location", "repositum_presentation_id": null, "authors": [ 1650, 5532, 5372, 193, 5373, 5503 ], "articleno": "62", "date_from": "2024-07-28", "date_to": "2024-08-01", "doi": "10.1145/3658160", "event": "ACM SIGGRAPH 2024", "issn": "1557-7368", "journal": "ACM Transactions on Graphics", "lecturer": [ 5532 ], "location": "Denver, USA", "number": "4", "pages": "15", "pages_from": "1", "pages_to": "15", "publisher": "ASSOC COMPUTING MACHINERY", "volume": "43", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "3d gaussian splatting", "level-of-detail", "Large Scenes" ], "weblinks": [ { "href": "https://repo-sam.inria.fr/fungraph/hierarchical-3d-gaussians/", "caption": "project page", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2024-ah3-paper.pdf", "type": "application/pdf", "size": 10836570, "path": "Publication:kerbl-2024-ah3", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/kerbl-2024-ah3-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/kerbl-2024-ah3-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/", "__class": "Publication" }, { "id": "papantonakis-2024-rmf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/198651", "title": "Reducing the Memory Footprint of 3D Gaussian Splatting", "date": "2024-05-13", "abstract": "3D Gaussian splatting provides excellent visual quality for novel view synthesis, with fast training and realtime rendering; unfortunately, the memory requirements of this method for storing and transmission are unreasonably high. We first analyze the reasons for this, identifying three main areas where storage can be reduced: the number of 3D Gaussian primitives used to represent a scene, the number of coefficients for the spherical harmonics used to represent directional radiance, and the precision required to store Gaussian primitive attributes. We present a solution to each of these issues. First, we propose an efficient, resolution-aware primitive pruning approach, reducing the primitive count by half. Second, we introduce an adaptive adjustment method to choose the number of coefficients used to represent directional radiance for each Gaussian primitive, and finally a codebook-based quantization method, together with a half-float representation for further memory reduction. Taken together, these three components result in a x27 reduction in overall size on disk on the standard datasets we tested, along with a x1.7 speedup in rendering speed. We demonstrate our method on standard datasets and show how our solution results in significantly reduced download times when using the method on a mobile device (see Fig. 1).", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5371, 5372, 1650, 5373, 803 ], "articleno": "16", "doi": "10.1145/3651282", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "number": "1", "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "Association for Computing Machinery (ACM)", "volume": "7", "research_areas": [], "keywords": [ "3D gaussian splatting", "memory reduction", "novel view synthesis", "radiance fields" ], "weblinks": [], "files": [], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/papantonakis-2024-rmf/", "__class": "Publication" }, { "id": "SCHUETZ-2024-SIMLOD", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/208716", "title": "SimLOD: Simultaneous LOD Generation and Rendering for Point Clouds", "date": "2024-05-13", "abstract": "LOD construction is typically implemented as a preprocessing step that requires users to wait before they are able to view the results in real time. We propose an incremental LOD generation approach for point clouds that allows us to simultaneously load points from disk, update an octree-based level-of-detail representation, and render the intermediate results in real time while additional points are still being loaded from disk. LOD construction and rendering are both implemented in CUDA and share the GPU’s processing power, but each incremental update is lightweight enough to leave enough time to maintain real-time frame rates. Our approach is able to stream points from an SSD and update the octree on the GPU at rates of up to 580 million points per second (~9.3GB/s) on an RTX 4090 and a PCIe 5.0 SSD. Depending on the data set, our approach spends an average of about 1 to 2 ms to incrementally insert 1 million points into the octree, allowing us to insert several million points per frame into the LOD structure and render the intermediate results within the same frame.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Rendered Point Cloud to the left and points/voxels colored by the containing octree node to the right.", "filetitle": "SimLOD", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1911, "image_height": 1072, "name": "SCHUETZ-2024-SIMLOD-SimLOD.jpg", "type": "image/jpeg", "size": 323598, "path": "Publication:SCHUETZ-2024-SIMLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD:thumb{{size}}.png" }, "sync_repositum_override": "event", "repositum_presentation_id": null, "authors": [ 1116, 1857, 193 ], "articleno": "17", "date_from": "2023-05", "date_to": "2023-05", "doi": "10.1145/3651287", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2024", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1116 ], "note": "Source Code: https://github.com/m-schuetz/SimLOD", "number": "1", "open_access": "yes", "pages": "20", "publisher": "Association for Computing Machinery (ACM)", "volume": "7", "research_areas": [ "Rendering" ], "keywords": [ "LOD", "real-time rendering", "Point Cloud Rendering", "rasterization", "Octree" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2024-SIMLOD-paper.pdf", "type": "application/pdf", "size": 5928589, "path": "Publication:SCHUETZ-2024-SIMLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-paper:thumb{{size}}.png" }, { "description": "Rendered Point Cloud to the left and points/voxels colored by the containing octree node to the right.", "filetitle": "SimLOD", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1911, "image_height": 1072, "name": "SCHUETZ-2024-SIMLOD-SimLOD.jpg", "type": "image/jpeg", "size": 323598, "path": "Publication:SCHUETZ-2024-SIMLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "d4386" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/", "__class": "Publication" }, { "id": "schuetz-2025-splatshop", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216694", "title": "Splatshop: Efficiently Editing Large Gaussian Splat Models", "date": "2025-06", "abstract": "We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, . . . ) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real-time performance. Our experiments confirm that Splatshop achieves these goals for scenes with up to 100 million primitives. We also show how our proposed pipeline can be extended for use with head-mounted displays. As such, Splatshop is the first VR-capable editor for large-scale 3D Gaussian Splatting models and a step towards a ''Photoshop for Gaussian Splatting.''", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1276, "image_height": 691, "name": "schuetz-2025-splatshop-cover.jpg", "type": "image/jpeg", "size": 327472, "path": "Publication:schuetz-2025-splatshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover:thumb{{size}}.png" }, "sync_repositum_override": "date,projects,articleno", "repositum_presentation_id": null, "authors": [ 1116, 5492, 5493, 823, 842, 193 ], "articleno": "8", "doi": "10.1111/cgf.70214", "issn": "1467-8659", "journal": "Computer Graphics Forum", "note": "https://github.com/m-schuetz/Splatshop", "number": "8", "open_access": "yes", "pages": "12", "publisher": "WILEY", "volume": "44", "research_areas": [ "Rendering" ], "keywords": [ "gaussian splats", "point clouds", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "cover", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1276, "image_height": 691, "name": "schuetz-2025-splatshop-cover.jpg", "type": "image/jpeg", "size": 327472, "path": "Publication:schuetz-2025-splatshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/", "__class": "Publication" }, { "id": "ulschmid-2024-reo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/195927", "title": "Real-Time Editing of Path-Traced Scenes with Prioritized Re-Rendering", "date": "2024-02", "abstract": "With recent developments in GPU ray tracing performance and (AI-accelerated) noise reduction techniques, Monte Carlo Path Tracing at real-time rates becomes a viable solution for interactive 3D scene editing, with growing support in popular software. However, even for minor edits (e.g., adjusting materials or moving small objects), current solutions usually discard previous samples and the image formation process is started from scratch. In this paper, we present two adaptive, priority-based re-rendering techniques with incremental updates, prioritizing the reconstruction of regions with high importance, before gradually moving to less important regions. The suggested methods automatically identify and schedule sampling and accumulation of immediately affected regions. An extensive user study analyzes whether such prioritized renderings are beneficial to interactive scene editing, comparing them with same-time conventional re-rendering. Our evaluation shows that even with simple prio rity policies, there is a significant preference for such incremental rendering techniques for interactive editing of small objects over full-screen re-rendering with denoising.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 323, "name": "ulschmid-2024-reo-teaser.png", "type": "image/png", "size": 254543, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png" }, "sync_repositum_override": "booktitle", "repositum_presentation_id": null, "authors": [ 1954, 1650, 1030, 193 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP and VISIGRAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012324600003660", "editor": "Bashford-Rogers, Thomas and Meneveaux, Daniel and Ziat, Mounia and Ammi, Mehdi and Jänicke, Stefan and Purchase, Helen and Bouatouch, Kadi and Sousa, Augusto A.", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications", "isbn": "978-989-758-679-8", "lecturer": [ 1954 ], "location": "Rom", "note": "Best student paper award", "pages": "12", "pages_from": "46", "pages_to": "57", "research_areas": [], "keywords": [ "ray tracing", "user study", "editing" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Prioritized-ReRendering", "caption": "GitHub", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ulschmid-2024-reo-paper.pdf", "type": "application/pdf", "size": 14987716, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 323, "name": "ulschmid-2024-reo-teaser.png", "type": "image/png", "size": 254543, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "ulschmid-2024-reo-video.mp4", "type": "video/mp4", "size": 38712872, "path": "Publication:ulschmid-2024-reo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:video.mp4" } ], "projects_workgroups": [ "d9275", "d4314" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/", "__class": "Publication" }, { "id": "ulschmid-2025-apc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/215609", "title": "Automated Prioritization for Context-Aware Re-rendering in Editing", "date": "2025", "abstract": "Real-time Monte Carlo path tracing has become a feasible option for interactive 3D scene editing due to recent advancements in GPU ray tracing performance, as well as (AI-accelerated) denoising techniques. While it is thus gaining increasing support in popular modeling software, even minor edits such as adjusting materials or moving small objects typically require current solutions to discard previous samples and restart the image formation process from scratch. A recent solution introduced two adaptive, priority-based re-rendering techniques implementing incremental updates while focusing first on reconstructing regions of high importance and gradually addressing less critical areas. An extensive user study compared these prioritized renderings with conventional same-time re-rendering to evaluate their effectiveness for interactive scene editing. Results indicate a significant preference for incremental rendering techniques for editing small objects over traditional full-screen re-rendering with denoising, even with basic priority policies. Building upon these results, we revisit the underlying design choices and derive more sophisticated priority policies that respect global illumination effects (shadows and reflections) as well as employing attention-based techniques (based either on eye tracking to prioritize areas in the user’s gaze or, alternatively, using the cursor position).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1501, "image_height": 930, "name": "ulschmid-2025-apc-image.webp", "type": "image/webp", "size": 91268, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1954, 1030, 193, 1650 ], "ac_number": "AC17528723", "articleno": "353", "doi": "10.1007/s42979-025-03863-z", "issn": "2661-8907", "journal": "SN Computer Science", "number": "2025", "open_access": "yes", "pages": "14", "publisher": "Springer Nature", "volume": "6", "research_areas": [ "Rendering" ], "keywords": [ "Path Tracing", "Scene editing", "Adaptive rendering", "empirical studies" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Prioritized-ReRendering", "caption": "GitHub", "description": "GitHub", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1501, "image_height": 930, "name": "ulschmid-2025-apc-image.webp", "type": "image/webp", "size": 91268, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ulschmid-2025-apc-paper.pdf", "type": "application/pdf", "size": 1866148, "path": "Publication:ulschmid-2025-apc", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d4314", "d9275" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/", "__class": "Publication" }, { "id": "unterguggenberger-2024-fropo", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/199275", "title": "Fast Rendering of Parametric Objects on Modern GPUs", "date": "2024-05", "abstract": "Parametric functions are an extremely efficient representation for 3D geometry, capable of compactly modelling highly complex objects. Once specified, parametric 3D objects allow for visualization at arbitrary levels of detail, at no additional memory cost, limited only by the amount of evaluated samples. However, mapping the sample evaluation to the hardware rendering pipelines of modern graphics processing units (GPUs) is not trivial. This has given rise to several specialized solutions, each targeting interactive rendering of a constrained set of parametric functions. In this paper, we propose a general method for efficient rendering of parametrically defined 3D objects. Our solution is carefully designed around modern hardware architecture. Our method adaptively analyzes, allocates and evaluates parametric function samples to produce high-quality renderings. Geometric precision can be modulated from few pixels down to sub-pixel level, enabling real-time frame rates of several 100 frames per second (FPS) for various parametric functions. We propose a dedicated level-of-detail (LOD) stage, which outputs patches of similar geometric detail to a subsequent rendering stage that uses either a hardware tessellation-based approach or performs point-based softare rasterization. Our method requires neither preprocessing nor caching, and the proposed LOD mechanism is fast enough to run each frame. Hence, our approach also lends itself to animated parametric objects. We demonstrate the benefits of our method over a state-of-the-art spherical harmonics (SH) glyph rendering method, while showing its flexibility on a range of other demanding shapes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser image, different parametric objects", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1440, "image_height": 1364, "name": "unterguggenberger-2024-fropo-image.png", "type": "image/png", "size": 2235242, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 848, 1525, 193, 1650, 1116 ], "booktitle": "EGPGV24: Eurographics Symposium on Parallel Graphics and Visualization", "date_from": "2024-05-27", "date_to": "2024-05-27", "doi": "10.2312/pgv.20241129", "event": "Eurographics Symposium on Parallel Graphics and Visualization (2024)", "isbn": "978-3-03868-243-1", "lecturer": [ 848 ], "location": "Odense", "open_access": "yes", "pages": "12", "publisher": "The Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Tessellation Shaders", "Point-Based Rendering", "Parametric Objects", "Fast Rendering", "Modern GPUs" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/FastRenderingOfParametricObjects", "caption": "FastRenderingOfParametricObjects", "description": "Source Code on GitHub", "main_file": 0 } ], "files": [ { "description": "Teaser image, different parametric objects", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1440, "image_height": 1364, "name": "unterguggenberger-2024-fropo-image.png", "type": "image/png", "size": 2235242, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png" }, { "description": "Published Paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2024-fropo-paper.pdf", "type": "application/pdf", "size": 17591180, "path": "Publication:unterguggenberger-2024-fropo", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d9275", "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/", "__class": "Publication" }, { "id": "voglreiter-2023-tro", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/189596", "title": "Trim Regions for Online Computation of From-Region Potentially Visible Sets", "date": "2023-08", "abstract": "Visibility computation is a key element in computer graphics applications. More specifically, a from-region potentially visible set (PVS) is an established tool in rendering acceleration, but its high computational cost means a from-region PVS is almost always precomputed. Precomputation restricts the use of PVS to static scenes and leads to high storage cost, in particular, if we need fine-grained regions. For dynamic applications, such as streaming content over a variable-bandwidth network, online PVS computation with configurable region size is required. We address this need with trim regions, a new method for generating from-region PVS for arbitrary scenes in real time. Trim regions perform controlled erosion of object silhouettes in image space, implicitly applying the shrinking theorem known from previous work. Our algorithm is the first that applies automatic shrinking to unconstrained 3D scenes, including non-manifold meshes, and does so in real time using an efficient GPU execution model. We demonstrate that our algorithm generates a tight PVS for complex scenes and outperforms previous online methods for from-viewpoint and from-region PVS. It runs at 60 Hz for realistic game scenes consisting of millions of triangles and computes PVS with a tightness matching or surpassing existing approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 302, "image_height": 167, "name": "voglreiter-2023-tro-teaser.jpg", "type": "image/jpeg", "size": 10478, "path": "Publication:voglreiter-2023-tro", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5298, 1650, 5299, 5300, 5301, 1662, 202 ], "articleno": "85", "doi": "10.1145/3592434", "issn": "1557-7368", 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"Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d10206", "workgroup_id": "vis", "drupal_id": 10206, "drupal_path": "/research/projects/EINSATZBILD", "name": "Overview assessment of current and planned ambulance services", "name_de": "Gesamtbeurteilung von aktuellen und geplanten Einsätzen", "short_title": "EINSATZBILD+", "website": null, "status": "active", "short_abstract": "EINSATZBILD+: Overview assessment of current and planned ambulance services
The aim of the project EINSATZBILD+ is to support dispatchers working for the Vienna Red Cross in their daily work. One of their main responsibility is to dispatch available cars to booked positions to pick up patients. We will develop a new user interface employing geospatial visualization to support this task. In addition, an evaluation of the new virtual dispatch board in real-world operation is planned in order to gain new insights into the use of user interfaces in emergency dispatch centres.
", "abstract": "EINSATZBILD+: Overview assessment of current and planned ambulance services
The aim of the project EINSATZBILD+ is to support dispatchers working for the Vienna Red Cross in their daily work. One of their main responsibility is to dispatch available cars to booked positions to pick up patients. We will develop a new user interface employing geospatial visualization to support this task. In addition, an evaluation of the new virtual dispatch board in real-world operation is planned in order to gain new insights into the use of user interfaces in emergency dispatch centres.
", "start_date": "2025-05-01", "end_date": "2026-04-30", "leader_id": { "id": 950, "drupal_id": 292, "orcid_id": "0000-0002-9638-6344", "website": "https://www.cg.tuwien.ac.at/staff/JohannaSchmidt", "firstname": "Johanna", "lastname": "Schmidt", "searchname": "Johanna Schmidt", "is_teacher": false, "name": "Johanna Schmidt", "publications": [ "karimov-2013-vivisection", "medeiros-2023-gwf", "medeiros-2025-iaa", "Mistelbauer_Gabriel_2016", "piccolotto-2023-dta", "rsabin-2013", "schmidt-2011-mt", "schmidt-phd", "TR1862162", "vaico", "vuckovic-2025-pdo", "walch-2025-bemtrace", "ymca" ], "publications_first": [], "project_leader": [ "d10206", "d10413", "d10450" ], "publication_field": [ { "publ_id": "2015-image-coll", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "audioflow", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "meka-2024-lpi", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Mlinaric-2015-MT", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "textures-3d-printing", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "tuscher-2023-qeo", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "vaico", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ymca", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Zhu-2014-flowvis", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=950", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:d10206", "type": "image/png", "size": 3037423, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d10206/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", "knoetzl_alexander-2025-prj", "koeppel-2021", "Kolter_2021", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch-2021-lov", "Kuroko-2020-iV", "Laschober-2018", "li-2019-gdc", "lippeck-2022-mna", "louis-alexandre_dit_petit-frere-2022-veo", "magg2022", "mahler-2021-mdar", "martorell2022", "maruyama-2019-iv", "Matkovic_Kresimir_2015_", "Matkovic-2014-ieee", "matt-2024-cvil", "matt-2025-scv", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "medeiros-2023-gwf", "meka-2024-lpi", "melcher-2024-asi", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao2018Dimsum", "mizuno-2019-eurovis", "Muehlbacher_diss_2018", "musleh_maath_2021_mam", "musleh_maath-2021-mam1", "musleh_maath-2021-mam2", "Musleh_PhD", "musleh-2022-mam5", "musleh-2025-trustme", "Neubauer2020", "Nowak_2021", "ortner-2016-tunnel", "ortner-2016-visaware", "pahr-2024-ieo", "PH-2011-LDS", "Pilizar_-2020-bachelor", "pirch_2021_VRN", "pointner_simon-2020", "polatsek-2018-stv", "Presch_2020", "Priselac2021", "Purchase-2020-gd", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2019_prsps", "Ribicic_2012_VAS", "Rippberger_2019", "sakr_sherif-2020-cacm", "samoul-2019-cnp", "sbardellati-2021-eveos", "schmidt-phd", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sikachev_peter-2011-protovis", "smiech-2018-tei", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "spegel-gruenberger-2020", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/EINSATZBILD", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "amirkhanov2010AMA", "ammer-2008-lst", "An-2018-CHI", "AndreUrsits_2013_APP", "antes-2023-vhv", "Antonini2020", "arbesser_ba_2023", "Artner-2004-Hig", "Artner-2005-Hig", "Artner-2005-Thesis", "audioflow", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", 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Work on the RisikoBlick application is based on developments from the EINSATZBILD+ project.
", "start_date": "2026-02-01", "end_date": "2026-04-30", "leader_id": { "id": 950, "drupal_id": 292, "orcid_id": "0000-0002-9638-6344", "website": "https://www.cg.tuwien.ac.at/staff/JohannaSchmidt", "firstname": "Johanna", "lastname": "Schmidt", "searchname": "Johanna Schmidt", "is_teacher": false, "name": "Johanna Schmidt", "publications": [ "karimov-2013-vivisection", "medeiros-2023-gwf", "medeiros-2025-iaa", "Mistelbauer_Gabriel_2016", "piccolotto-2023-dta", "rsabin-2013", "schmidt-2011-mt", "schmidt-phd", "TR1862162", "vaico", "vuckovic-2025-pdo", "walch-2025-bemtrace", "ymca" ], "publications_first": [], "project_leader": [ "d10206", "d10413", "d10450" ], "publication_field": [ { "publ_id": "2015-image-coll", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "audioflow", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "meka-2024-lpi", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Mlinaric-2015-MT", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "textures-3d-printing", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "tuscher-2023-qeo", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "vaico", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ymca", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Zhu-2014-flowvis", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=950", "__class": "Author" }, "logo": { "name": "logo.jpg", "path": "project:d10413", "type": "image/jpeg", "size": 28325, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d10413/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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"STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/RisikoBlick", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", 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"edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d9282", "workgroup_id": "vis", "drupal_id": 9282, "drupal_path": "/research/projects/JDE", "name": "Joint Human-Machine Data Exploration", "name_de": "Joint Human-Machine Data Exploration", "short_title": "JDE", "website": "https://www.cg.tuwien.ac.at/research/projects/JDE", "status": "active", "short_abstract": "In many domains, such as biology, chemistry, medicine, and the humanities, large amounts of data exist. Visual exploratory analysis of these data is often not practicable due to their size and their unstructured nature. Traditional machine learning (ML) requires large-scale labeled training data and a clear target definition, which is typically not available when exploring unknown data. For such large-scale, unstructured, open-ended, and domain-specific problems, we need an interactive approach combining the strengths of ML and human analytical skills into a unified process that helps users to \"detect the expected and discover the unexpected\".
We hypothesize that humans and machines can learn jointly from the data and from each other during exploratory data analysis. We further hypothesize that this joint learning enables a new visual analytics approach that reveals how users' incrementally growing insights fit the data, which will foster questioning and reframing.
We integrate interactive ML and interactive visualization to learn about data and from data in a joint fashion. To this end, we propose a data-agnostic joint human-machine data exploration (JDE) framework that supports users in the exploratory analysis and the discovery of meaningful structures in the data. In contrast to existing approaches, we investigate data exploration from a new perspective that focuses on the discovery and definition of complex structural information from the data rather than primarily on the model (as in ML) or on the data itself (as in visualization).
First, the conceptual framework of JDE introduces a novel knowledge modeling approach for visual analytics based on interactive ML that incrementally captures potentially complex, yet interpretable concepts that users expect or have learned from the data. Second, it proposes an intelligent agent that elicits information fitting the users' expectations and discovers what may be unexpected for the users. Third, it relies on a new visualization approach focusing on how the large-scale data fits the users' knowledge and expectations, rather than solely the data. Fourth, this leads to novel exploratory data analysis techniques -- an interactive interplay between knowledge externalization, machine-guided data inspection, questioning, and reframing.
The project is a joint collaboration between researchers from TU Wien (Manuela Waldner) and the University of Applied Sciences St. Pölten (Matthias Zeppelzauer), Austria, who contribute and join their complementary expertise on information visualization, visual analytics, and interactive ML.
FWF Stand-alone project P 36453
DOI: 10.55776/P36453
", "abstract": "In many domains, such as biology, chemistry, medicine, and the humanities, large amounts of data exist. Visual exploratory analysis of these data is often not practicable due to their size and their unstructured nature. Traditional machine learning (ML) requires large-scale labeled training data and a clear target definition, which is typically not available when exploring unknown data. For such large-scale, unstructured, open-ended, and domain-specific problems, we need an interactive approach combining the strengths of ML and human analytical skills into a unified process that helps users to \"detect the expected and discover the unexpected\".
We hypothesize that humans and machines can learn jointly from the data and from each other during exploratory data analysis. We further hypothesize that this joint learning enables a new visual analytics approach that reveals how users' incrementally growing insights fit the data, which will foster questioning and reframing.
We integrate interactive ML and interactive visualization to learn about data and from data in a joint fashion. To this end, we propose a data-agnostic joint human-machine data exploration (JDE) framework that supports users in the exploratory analysis and the discovery of meaningful structures in the data. In contrast to existing approaches, we investigate data exploration from a new perspective that focuses on the discovery and definition of complex structural information from the data rather than primarily on the model (as in ML) or on the data itself (as in visualization).
First, the conceptual framework of JDE introduces a novel knowledge modeling approach for visual analytics based on interactive ML that incrementally captures potentially complex, yet interpretable concepts that users expect or have learned from the data. Second, it proposes an intelligent agent that elicits information fitting the users' expectations and discovers what may be unexpected for the users. Third, it relies on a new visualization approach focusing on how the large-scale data fits the users' knowledge and expectations, rather than solely the data. Fourth, this leads to novel exploratory data analysis techniques -- an interactive interplay between knowledge externalization, machine-guided data inspection, questioning, and reframing.
The project is a joint collaboration between researchers from TU Wien (Manuela Waldner) and the University of Applied Sciences St. Pölten (Matthias Zeppelzauer), Austria, who contribute and join their complementary expertise on information visualization, visual analytics, and interactive ML.
FWF Stand-alone project P 36453
DOI: 10.55776/P36453
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"url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1110", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:d9282", "type": "image/png", "size": 42258, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d9282/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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"deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [ { "id": "eitler-2024-sos", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/205306", "title": "Spatial Organization Strategies in Exploratory Analysis of Unstructured Data", "date": "2024", "abstract": "As not only the amount but also the complexity of data increases, there is a growing need to support humans in the analysis of data that is not structured in a way that can be easily interpreted by machines. So-called “knowledge-assisted visual analytics” (KAVA) tools aim to address these challenges by integrating the knowledge of the analyst into their system to support the analysis process.In this thesis, we investigate the spatial organization strategies that users employ when exploring unstructured data. We aim to characterize the types of strategies that users employ, how they change over time, and how we can use them to infer the users’ knowledge of the data. To answer these questions, we first conduct a user study in which the participants explore an image dataset on a multitouch tabletop interface imitating an analogue setting and externalize their findings into concept maps. We observe their organization strategies and analyse their methods in a mixed-methods approach, combining qualitative analysis of the participants’ interview statements with quantitative analysis of the interaction logs.We find that the participants’ spatial organization strategies can be characterized by four features: semantic clusters, type of layout, uncovering process, and reorganization of the data. While most participants prefer layouts that give them an overview of the data, only about half create semantic clusters (i.e., grouping similar images together). The participants also mostly uncovered all images — which were initially on a stack — in the task right away before externalizing their knowledge, and only a few reorganized the images. We further find that the participants generally did not change their organization strategies over time, and that the resulting spatial arrangements do not necessarily provide valuable insights into the users’ knowledge of the data.Finally, we discuss our findings and list the limitations of our study. As this thesis is embedded in a research project that aims to develop a tool for knowledge-assisted visual analytics, we discuss potential design implications for the development of such a tool.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5419 ], "doi": "10.34726/hss.2024.117186", "open_access": "yes", "pages": "95", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "visual analytics", "unstructured data", "spatial organization", "exploratory analysis", "knowledge-assisted visual analytics", "semantic interaction", "knowledge externalization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eitler-2024-sos-thesis.pdf", "type": "application/pdf", "size": 2087980, "path": "Publication:eitler-2024-sos", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/eitler-2024-sos-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/eitler-2024-sos-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/", "__class": "Publication" }, { "id": "eschner-2025-ide", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/216865", "title": "Interactive Discovery and Exploration of Visual Bias in Generative Text‐to‐Image Models", "date": "2025-06", "abstract": "Bias in generative Text-to-Image (T2I) models is a known issue, yet systematically analyzing such models' outputs to uncover it remains challenging. We introduce the Visual Bias Explorer (ViBEx) to interactively explore the output space of T2I models to support the discovery of visual bias. ViBEx introduces a novel flexible prompting tree interface in combination with zero-shot bias probing using CLIP for quick and approximate bias exploration. It additionally supports in-depth confirmatory bias analysis through visual inspection of forward, intersectional, and inverse bias queries. ViBEx is model-agnostic and publicly available. In four case study interviews, experts in AI and ethics were able to discover visual biases that have so far not been described in literature.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2578, "image_height": 1292, "name": "eschner-2025-ide-image.png", "type": "image/png", "size": 1659146, "path": "Publication:eschner-2025-ide", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image:thumb{{size}}.png" }, "sync_repositum_override": "title,date,projects,event,lecturer,location,number,volume", "repositum_presentation_id": null, "authors": [ 1653, 5490, 5370, 1110 ], "ac_number": "AC17579673", "articleno": "e70135", "doi": "10.1111/cgf.70135", "event": "EuroVis 2025", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1653 ], "location": "Luxembourg", "number": "3", "open_access": "yes", "pages": "20", "publisher": "WILEY", "volume": "44", "research_areas": [ "InfoVis" ], "keywords": [ "Visualization", "Bias", "Artificial Intelligence" ], "weblinks": [ { "href": "https://vibex.jde.cg.tuwien.ac.at", "caption": "live demo", "description": "Live demo of the ViBEx application", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2578, "image_height": 1292, "name": "eschner-2025-ide-image.png", "type": "image/png", "size": 1659146, "path": "Publication:eschner-2025-ide", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eschner-2025-ide-paper.pdf", "type": "application/pdf", "size": 46238959, "path": "Publication:eschner-2025-ide", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/", "__class": "Publication" }, { "id": "indirectBiasLanguageModels-2023", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/187890", "title": "Visual Exploration of Indirect Bias in Language Models", "date": "2023-06", "abstract": "Language models are trained on large text corpora that often include stereotypes. This can lead to direct or indirect bias in downstream applications. In this work, we present a method for interactive visual exploration of indirect multiclass bias learned by contextual word embeddings. We introduce a new indirect bias quantification score and present two interactive visualizations to explore interactions between multiple non-sensitive concepts (such as sports, occupations, and beverages) and sensitive attributes (such as gender or year of birth) based on this score.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1904, "image_height": 619, "name": "indirectBiasLanguageModels-2023-teaser.png", "type": "image/png", "size": 81826, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,location,keywords", "repositum_presentation_id": null, "authors": [ 5211, 1110 ], "booktitle": "EuroVis 2023 - Short Papers", "date_from": "2023-06-12", "date_to": "2023-06-16", "doi": "10.2312/evs.20231034", "event": "25th EG Conference on Visualization (EuroVis 2023)", "isbn": "978-3-03868-219-6", "lecturer": [ 1110 ], "location": "Leipzig, Germany", "open_access": "yes", "pages": "5", "publisher": "The Eurographics Association", "research_areas": [ "InfoVis" ], "keywords": [ "visual analytics", "language models", "bias" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/evs20231034", "caption": "Eurographics Digital Library", "description": null, "main_file": 0 }, { "href": "https://www.cg.tuwien.ac.at/IndirectBiasVis", "caption": "online demo", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "indirectBiasLanguageModels-2023-paper.pdf", "type": "application/pdf", "size": 465161, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "indirectBiasLanguageModels-2023-supplement.pdf", "type": "application/pdf", "size": 124948, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-supplement:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1904, "image_height": 619, "name": "indirectBiasLanguageModels-2023-teaser.png", "type": "image/png", "size": 81826, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "indirectBiasLanguageModels-2023-video.mp4", "type": "video/mp4", "size": 51440954, "path": "Publication:indirectBiasLanguageModels-2023", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video:video.mp4" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/", "__class": "Publication" }, { "id": "irendorfer-2024-uat", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/202525", "title": "User Approaches to Knowledge Externalization in Visual Analytics of Unstructured Data", "date": "2024", "abstract": "Traditional machine learning approaches for analyzing large unstructured data often depend on labelled training data and well-defined target definitions. However, these may not be available or feasible when dealing with unknown and unstructured data. It requires human reasoning and domain knowledge to interpret it. Interactive systems that combine human analytical abilities with machine learning techniques can address this limitation. However, to incorporate human knowledge in such systems, we need a better understanding of the semantic information and structures that users observe and expect while exploring unstructured data, as well as how they make their tacit knowledge explicit. This thesis aims to narrow the gap between human cognition and (knowledge-assisted) visual analytics. In a qualitative and exploratory user study, this thesis investigates how individuals explore a large unstructured dataset and which strategies they apply to externalize their mental models. By analyzing users' externalized mental models, we aim to better understand how their knowledge evolves during data exploration. We evaluate the comprehensiveness, detail and evolution of users' external knowledge representations by applying quantitative and qualitative methods, including a crowdsourcing step. The results show that users' externalized structures are able to represent a given dataset comprehensively and to a high degree of detail. While these knowledge representations are highly subjective and show various individual differences, we could identify structural similarities between individuals. In addition to the insights about how users externalize their tacit knowledge during data exploration, we propose design guidelines for (knowledge-assisted) visual analytics systems.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 5399 ], "doi": "10.34726/hss.2024.115066", "open_access": "yes", "pages": "80", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "Knowledge Externalization", "Knowledge-Assisted Visualization", "Visual Analytics", "Unstructured Data", "Concept Maps", "Mental Models", "User Study", "Data Exploration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "irendorfer-2024-uat-thesis.pdf", "type": "application/pdf", "size": 1981913, "path": "Publication:irendorfer-2024-uat", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/irendorfer-2024-uat-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/irendorfer-2024-uat-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/", "__class": "Publication" }, { "id": "matt-2024-cvil", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/199888", "title": "cVIL: Class-Centric Visual Interactive Labeling", "date": "2024-05-27", "abstract": "We present cVIL, a class-centric approach to visual interactive labeling, which facilitates human annotation of large and complex image data sets. cVIL uses different property measures to support instance labeling for labeling difficult instances and batch labeling to quickly label easy instances. Simulated experiments reveal that cVIL with batch labeling can outperform traditional labeling approaches based on active learning. In a user study, cVIL led to better accuracy and higher user preference compared to a traditional instance-based visual interactive labeling approach based on 2D scatterplots.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Screenshot of cVIL as employed in the user study", "filetitle": "cVIL teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1104, "image_height": 449, "name": "matt-2024-cvil-cVIL teaser.png", "type": "image/png", "size": 293869, "path": "Publication:matt-2024-cvil", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser:thumb{{size}}.png" }, "sync_repositum_override": "abstract,projects,open_access", "repositum_presentation_id": null, "authors": [ 5263, 5370, 1110 ], "booktitle": "Eurographics Proceedings", "date_from": "2024-05-27", "date_to": "2024-05-27", "doi": "10.2312/eurova.20241113", "editor": "El-Assady, Mennatallah and Schulz, Hans-Jorg", "event": "EuroVis Workshop on Visual Analytics (EuroVA 2024)", "isbn": "978-3-03868-056-7", "lecturer": [ 5263 ], "location": "Aarhus", "open_access": "yes", "pages": "6", "publisher": "Eurographics", "research_areas": [ "InfoVis" ], "keywords": [ "Visual Analytics", "Interactive Machine Learning", "User Interface Design" ], "weblinks": [ { "href": "https://diglib.eg.org/server/api/core/bitstreams/c18fafcc-b4b4-4e51-bd2f-cec056c6d93a/content", "caption": "paper", "description": null, "main_file": 1 }, { "href": "https://gitlab.tuwien.ac.at/e193-02-jde/lava", "caption": "GitLab", "description": null, "main_file": 1 } ], "files": [ { "description": "Screenshot of cVIL as employed in the user study", "filetitle": "cVIL teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1104, "image_height": 449, "name": "matt-2024-cvil-cVIL teaser.png", "type": "image/png", "size": 293869, "path": "Publication:matt-2024-cvil", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/", "__class": "Publication" }, { "id": "matt-2025-scv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/216286", "title": "Scalable Class-Centric Visual Interactive Labeling", "date": "2025-06", "abstract": "Large unlabeled datasets demand efficient and scalable data labeling solutions, in particular when the number of instances and classes is large. This leads to significant visual scalability challenges and imposes a high cognitive load on the users. Traditional instance-centric labeling methods, where (single) instances are labeled in each iteration struggle to scale effectively in these scenarios. To address these challenges, we introduce cVIL, a Class-Centric Visual Interactive Labeling methodology designed for interactive visual data labeling. By shifting the paradigm from assigning-classes-to-instances to assigning-instances-to-classes, cVIL reduces labeling effort and enhances efficiency for annotators working with large, complex and class-rich datasets. We propose a novel visual analytics labeling interface built on top of the conceptual cVIL workflow, enabling improved scalability over traditional visual labeling. In a user study, we demonstrate that cVIL can improve labeling efficiency and user satisfaction over instance-centric interfaces. The effectiveness of cVIL is further demonstrated through a usage scenario, showcasing its potential to alleviate cognitive load and support experts in managing extensive labeling tasks efficiently.", "authors_et_al": false, "substitute": null, "main_image": { "description": "class-centric visual interactive labeling workflow", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1667, "image_height": 624, "name": "matt-2025-scv-teaser.png", "type": "image/png", "size": 254694, "path": "Publication:matt-2025-scv", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5263, 5487, 1851, 5370, 1110 ], "articleno": "104240", "doi": "10.1016/j.cag.2025.104240", "issn": "1873-7684", "journal": "COMPUTERS & GRAPHICS-UK", "pages": "14", "publisher": "PERGAMON-ELSEVIER SCIENCE LTD", "volume": "129", "research_areas": [ "InfoVis" ], "keywords": [ "Class-centric labeling", "Interactive machine learning", "Property measures", "Visual analytics", "Visual-interactive data labeling" ], "weblinks": [], "files": [ { "description": "class-centric visual interactive labeling workflow", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1667, "image_height": 624, "name": "matt-2025-scv-teaser.png", "type": "image/png", "size": 254694, "path": "Publication:matt-2025-scv", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/", "__class": "Publication" }, { "id": "stoff-2025-pvu", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/209541", "title": "Prototypical Visualization: Using Prototypical Networks for Visualizing Large Unstructured Data", "date": "2025", "abstract": "Making sense of data is something that many professionals are required to do on a daily basis. This can be a difficult task if the amount of data is so large that it can not be easily examined. One effective method of quickly getting an overview of data structure is visualization, but this is not always a feasible solution with large data due to the sheer amount of data and also the potentially high dimensionality. Machine learning models can help with with the organization and classification of data, but they often require large quantities of labeled training data, which is frequently not readily available. This is why models that can reliably classify data based on only few examples for each class are an interesting topic of research. One such kind of model are prototypical networks. They utilize few samples to create an embedding space in fewer dimensions, in which similar data points cluster around a single class prototype. In this thesis, we investigate if the embedding space of a prototypical network makes for a good approach for the purpose of visualizing high-dimensional, unstructured data. The goal is to reduce the dimensionality of the data in such a way that the highdimensional relations and structures between data points are preserved, resulting in 2D representations of the data that form coherent class clusters in a scatter plot visualization. This approach is compared with, and evaluated against, other well known supervised and unsupervised dimensionality reduction techniques. Through quantitative experiments relying on statistical measures, as well as a qualitative evaluation of our results, we find that our ProtoNet is capable of producing point embeddings in which the spatial separation of classes is as good or better than the other methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1865 ], "ac_number": "AC17416388", "doi": "10.34726/hss.2025.119321", "open_access": "yes", "pages": "62", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [ "Dimensionality Reduction", "Data Visualization", "Prototypical Network", "ProtoNet", "Class Separation", "Scatter Plot" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stoff-2025-pvu-thesis.pdf", "type": "application/pdf", "size": 1529952, "path": "Publication:stoff-2025-pvu", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/stoff-2025-pvu-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/stoff-2025-pvu-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "d9282" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/", "__class": "Publication" }, { "id": "webGPU_aggregateVis-2023", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/187891", "title": "WebGPU for Scalable Client-Side Aggregate Visualization", "date": "2023-06", "abstract": "WebGPU is a new graphics API, which now provides compute shaders for general purpose GPU operations in web browsers. 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"matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "WorldScale", "workgroup_id": "rend", "drupal_id": 4158, "drupal_path": "/research/projects/WorldScale", "name": "Modeling the World at Scale", "name_de": "Modellierung der Welt nach Maß", "short_title": "WorldScale", "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": { "id": 948, "drupal_id": 185, "orcid_id": "0000-0002-2526-7700", "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", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-2025-tsd", "ohrhallinger-stefan-2012-the", "parakkat-2024-ballmerge", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "SCHUETZ-2020-MPC" ], "publications_first": [], "project_leader": [ "d10381", "Superhumans", "WorldScale" ], "publication_field": [ { "publ_id": "antes-2026-maa", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "ausserer-2026-baa", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "balvan-rsf", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "beleznai_csaba-2025-pr", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "belic_dejan_pr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "bodzenta-2026-baa", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "brenner_simon-2013-ba", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "brunner_lukas_2022_ssb", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "csecsy-fcd", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "darovskikh_leonid-2025-prj", 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"date_start": "2024-10-21", "matrikelnr": "12243268", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "sphere meshes", "signed distance function", "meshing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 494, "image_height": 193, "name": "belic_dejan_pr-image.png", "type": "image/png", "size": 82452, "path": "Publication:belic_dejan_pr", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/belic_dejan_pr/belic_dejan_pr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/belic_dejan_pr/belic_dejan_pr-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/belic_dejan_pr/", "__class": "Publication" }, { "id": "bodzenta-2026-baa", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "Traffic counting improvements", "date": "2026-02-25", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "bodzenta-2026-baa-image.png", "type": "image/png", "size": 193496, "path": "Publication:bodzenta-2026-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/bodzenta-2026-baa/bodzenta-2026-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/bodzenta-2026-baa/bodzenta-2026-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5564 ], "co_supervisor": [ 948 ], "date_start": "2026-02-25", "matrikelnr": "12319620", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "traffic counting", "machine learning", "object detection" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "bodzenta-2026-baa-image.png", "type": "image/png", "size": 193496, "path": "Publication:bodzenta-2026-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/bodzenta-2026-baa/bodzenta-2026-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/bodzenta-2026-baa/bodzenta-2026-baa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/bodzenta-2026-baa/", "__class": "Publication" }, { "id": "csecsy-fcd", "type_id": "runmasterthesis", "tu_id": null, "repositum_id": null, "title": "Fast Change Detection and Tracking in Large Point Clouds", "date": "2024-01-18", "abstract": "To know the surrounding environment is required in different applications, such as augmented reality, robotics and autonomous vehicles. While deep learning technologies allow advanced methods for image analysis and object detection, another important aspect of monitoring the environment is detecting changes, distinguishing removed or added objects and rotated or shifted objects, which is challenging especially in very large point clouds for example from outdoor environments that are observed with large epochs in between, even when the changed points are marked. To develop such applications, there are further barriers to overcome: changing viewpoint, occluded objects, observing objects from different angles, computational efficiency for a real-time application.\\\\\n\\\\Information about changes can potentially be used to train deep learning algorithms for the semantic understanding of environments. Additionally, we would like to answer large-scale queries such as which objects of a certain class such as trees, poles or traffic signed have changed, or an inventory of how many cars are in a city during the time of a given scanning, or how does the ratio of cars and bicycles has changed after a given time-frame (for example presumably as a result of new bike-lanes). This could be useful for city agencies.\\\\\n\\\\To observe the environment and to generate input, depth sensors such as Light Detection and Ranging (LiDAR) sensors are commonly used besides RGB cameras, which provides depth values allowing the generation of 3D point clouds. 3D point clouds provide more information about spatial locations of different objects compared to RGB images.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5350 ], "date_start": "2024-01-18", "matrikelnr": "11945931", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "point clouds", "change detection", "change tracking" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/csecsy-fcd/", "__class": "Publication" }, { "id": "darovskikh_leonid-2025-prj", "type_id": "runstudentproject", "tu_id": null, "repositum_id": null, "title": "Sphere-meshes primitive intersections", "date": "2025-01-27", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 480, "image_height": 188, "name": "darovskikh_leonid-2025-prj-.png", "type": "image/png", "size": 80141, "path": "Publication:darovskikh_leonid-2025-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/darovskikh_leonid-2025-prj/darovskikh_leonid-2025-prj-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/darovskikh_leonid-2025-prj/darovskikh_leonid-2025-prj-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5442 ], "date_start": "2025-01-27", "matrikelnr": "0828589", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 480, "image_height": 188, "name": "darovskikh_leonid-2025-prj-.png", "type": "image/png", "size": 80141, "path": "Publication:darovskikh_leonid-2025-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/darovskikh_leonid-2025-prj/darovskikh_leonid-2025-prj-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/darovskikh_leonid-2025-prj/darovskikh_leonid-2025-prj-:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/darovskikh_leonid-2025-prj/", "__class": "Publication" }, { "id": "deak-a3", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "Accelerating 3DGS", "date": "2025", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5526 ], "co_supervisor": [ 948 ], "date_start": "2025-09-29", "matrikelnr": "12123670", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "3d gaussian splats", "optimization", "splat densification" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/deak-a3/", "__class": "Publication" }, { "id": "depner_dennis-2020-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D Scan Integration", "date": "2021-03-01", "abstract": "3D scanning is often not complete after a single pass from a single sensor. Multiple scanners, e.g. from a crowd, or multiple autonomous vehicles, may contribute data simultaneously. Or, after looking at the resulting model, more passes may be made to fill holes or improve the quality.\n\nThis requires updating a 3D reconstruction with new points, integrating those into the model and considering them equally with the existing points. In order to avoid dynamic and massive storage requirements, their coordinate information required for reconstruction can be stored as single median+variance vectors, which can be updated incrementally with new points, see e.g.: http://datagenetics.com/blog/november22017/index.html). With the local information at nodes, marching cubes can be used to generate a triangulation at grid cells. Since the octree has varying depths at leaf nodes, we need to apply an adapted version from an existing algorithm, Screened Poisson (for source and paper see: http://www.cs.jhu.edu/~misha/Code/PoissonRecon/Version8.0/). See also http://infinitam.org for the source code and the paper it is based on.\n\nTasks:\n Use a Kinect 3D scanner with the Infinitam software to scan several overlapping passes of an interior room, resulting in an octree with data in its nodes\n Hand-align scans with Meshlab or register them using ICP (http://pointclouds.org/documentation/tutorials/iterative_closest_point.php) so that they correspond spatially\n Add new points into octree nodes which overlap in space\n Apply a provided surface orientation operator which uses median+variance of nodes in order to mark vertices of nodes as in- or outside\n Create a mesh from the octree on demand for visualization, using marching cubes adapted to octrees as in Screened Poisson\n Evaluate the quality of the incrementally created reconstruction with a single-pass reconstruction of a merged point cloud where all points are considered at once\n", "authors_et_al": false, "substitute": null, "main_image": { "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" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1749 ], "date_end": "2021-03-01", "date_start": "2020-03-16", "matrikelnr": "01632716", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "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": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/", "__class": "Publication" }, { "id": "depner_dennis-2022-maa", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Real-Time Change Detection", "date": "2022-03-16", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1749 ], "date_start": "2022-03-16", "matrikelnr": "01632716", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "change detection", "compressed data structure", "real-time" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/depner_dennis-2022-maa/", "__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, "repositum_presentation_id": null, "authors": [ 5287 ], "date_end": "2022-09-05", "date_start": "2022-01-15", "matrikelnr": "11811340", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "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": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/", "__class": "Publication" }, { "id": "fitzinger_andreas-daa", "type_id": "runmasterthesis", "tu_id": null, "repositum_id": null, "title": "Detection of traffic violations from multi-modal data", "date": "2025-04-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5467 ], "co_supervisor": [ 948 ], "date_start": "2025-04-09", "matrikelnr": "0827300", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "traffic", "machine learning", "rule-based" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fitzinger_andreas-daa/", "__class": "Publication" }, { "id": "fraissl_niklas-2023-pra", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Classify Unseen Objects - 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Folgende Möglichkeiten gibt es um Pytorch Modelle auf Mobile/Android zu portieren:\n\n- Pytorch Mobile: https://pytorch.org/mobile/home/\n\n- Pytorch Flutter Plugins: https://pub.dev/packages/flutter_pytorch oder https://pub.dev/packages/pytorch_mobile\n\n- Deep Java Library: https://djl.ai/\n\n \n\n3D-Multi-Object-Tracker:\n\nZeitplan: Auf Mobile implementiert bis Ende April.\n\nDa 3DMOT ein non-ml Algorithmus ist, kann er in der dann gewählten Sprache implementiert werden.\n\n \n\nPrecog:\n\nZeitplan: Auf Mobile portiert bis Ende Mai.\n\nPrecog habe ich leider nicht zum Laufen bekommen, da ich nicht alle Daten gefunden habe bzw. nicht sicher war welche benötigt werden und wie sie konfiguriert werden sollen.\n\nPrecog verwendet Tensorflow. Dazu habe ich folgendes gefunden:\n\n- Tensorflow Lite: https://www.tensorflow.org/lite\n\n- Tflite Flutter: https://pub.dev/packages/tflite_flutter\n\n \n\nVergleich zwischen Server und Mobile:\n\nZeitplan: Server und Mobile werden Anfang Juni verglichen, wenn bis dahin alles nach Plan läuft.\n\n \n\nSchriftliche Arbeit:\n\nZeitplan: Mit dem Schreiben wird nach dem Vergleichen angefangen und dafür kann der Rest von Juni verwendet werden. Falls sich eines der Schritte herauszögert, dann kann ich die vorlesungsfreie Zeit im Sommer auch verwenden.\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 614, "image_height": 613, "name": "hoffer-toth-com-image.png", "type": "image/png", "size": 164978, "path": "Publication:hoffer-toth-com", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5353 ], "date_end": "2024-08-12", "date_start": "2024-03-11", "matrikelnr": "12122086", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "bicycle", "mobile", "scanning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 614, "image_height": 613, "name": "hoffer-toth-com-image.png", "type": "image/png", "size": 164978, "path": "Publication:hoffer-toth-com", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hoffer-toth-com-thesis.pdf", "type": "application/pdf", "size": 6093633, "path": "Publication:hoffer-toth-com", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/", "__class": "Publication" }, { "id": "holom_2025-prj", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Change detection on mobile", "date": "2026-02-25", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5465 ], "date_end": "2026-02-25", "date_start": "2025-04-23", "matrikelnr": "12229959", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "change detection", "mobile", "geometry processing" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/holom_2025-prj/", "__class": "Publication" }, { "id": "jira_marcel-2024-baa", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "Traffic Counting with AI", "date": "2024-04-04", "abstract": "Während vor den 1980er-Jahren die Gestaltung von Bauprojekten weitestgehend hinter den\nverschlossenen Türen spezialisierter Planungsbüros stattfand, werden in einigen demokratisch regierten\nLändern seitdem langsam Möglichkeiten entwickelt, betroffene Anrainer*innen in die Gestaltung von\ngroßen Bauprojekten im öffentlichen Raum miteinzubeziehen (vgl. Berger 2009, 64ff). Dieser Ansatz\nberuht auf der Erkenntnis, dass Anwohner*innen und Gemeinden einzigartige Einblicke und Bedenken\nhaben, die berücksichtigt werden müssen, um langfristige Akzeptanz und nachhaltigen Nutzen von\nBauprojekten sicherzustellen.\nAuch bei der Gestaltung von Verkehrswegen gibt es Ansätze und Vorzeigeprojekte zur Miteinbeziehung\nvon Bürger*innen in die Planung (vgl. u.a. (Bayrisches Staatsministerium für Wohnen, Bau und Verkehr\n2024; CitizenLab 2023)). Die Beteiligung der Öffentlichkeit an der Planung von Verkehrsrouten ist\ngegenüber anderen Bauprojekten aber noch ausbaufähig (vgl. etwa die Diskussion über die Situation in\nDeutschland in (Frühzeitige Bürgerbeteiligung für eine effizientere Verkehrsinfrastrukturplanung 2012)).\nDass Demokratisierungsbestrebungen in der Verkehrsplanung schwieriger zu implementieren sind als bei\nanderen Bauvorhaben, mag mitunter daran liegen, dass die subjektiven Bedürfnisse der Anrainer*innen\nsehr vielfältig sind und sich nur über Umwege und mit viel Interpretationsspielraum quantifizieren lassen.\nWährend der eine über die aufwändige Suche nach einem Parkplatz für sein Auto klagt, empfindet die\nandere den Radweg durch die steigende Zahl der Nutzer*innen als zu eng.\nVerkehrserhebungen, also die kategorisierende Erfassung von Verkehrsteilnehmer*innen auf einem\nStraßenabschnitt oder einer Kreuzung, stellen eine evidenzbasierte Grundlage für die Planung von\nVerkehrsverbindungen dar. Doch nicht nur für die Verkehrsplanung, auch für die effektive Regelung des\nStraßenverkehrs, beispielsweise für Ampelschaltungen, sind Verkehrserhebungen vorteilhaft.\nKonventionell werden als Erfassungsmethoden entweder manuelle Zählungen, Radaranlagen an der\nFahrbahnseite, Zählplatten oder Induktionssysteme verwendet (vgl. (Stadt Essen 2024)). Modernere\nSysteme nutzen bereits heute Kameras mit KI-basierten Mustererkennungslösungen (vgl. (DataCollect\nTraffic Systems GmbH 2020; Isarsoft 2024)). In Wien kommen derzeit mehr als 70 Verkehrskameras zum\nEinsatz (vgl. (Stadt Wien 2024)). Ein flächendeckender Einsatz von Verkehrskameras – etwa\nstandardmäßig integriert in Ampelanlagen oder Straßenlaternen – ist Teil einiger „Smart City“-Konzepte\n(vgl. („Smart City“ 2024)), sind aber hinsichtlich datenschutzrechtlicher Überlegungen (Stichwort\n„Bewegungsprofile“) nicht unproblematisch. Das mag auch der Grund sein, warum dieser Aspekt in der\nSmart City Strategie der Stadt Wien ausgespart wurde (vgl. (Deistler und Homeier 2022)).\nZusammenfassend kann festgehalten werden, dass die systematische Durchführung von\nVerkehrserhebungen sowie deren Auswertung bislang meist der öffentlichen Verwaltung bzw. deren\nDienstleister*innen vorbehalten bleibt. Aufgrund der fehlenden Infrastruktur können aber auch die\nKommunen generell keine flächendeckenden Verkehrsanalysen durchführen.\nDie besten technischen Voraussetzungen, um das Verkehrsgeschehen gesamthaft zu betrachten liegen\nhingegen wahrscheinlich bei Mobilfunk- und -serviceanbietern (wie Google oder Apple), die solche\nInformationen aus den Standortdaten ihrer Nutzer*innen gewinnen können. Diese Akteure haben\nallerdings bislang kein öffentliches Interesse daran geäußert, Ihre Daten zur Gestaltung von\nVerkehrswegen zu nutzen oder zur Verfügung zu stellen.\nDurch die in den letzten Jahren stark gesunkenen Preise für Videoerfassungs- und Computerhardware auf\nder einen Seite und durch bahnbrechende Fortschritte KI-gestützter Mustererkennung auf der anderen\n\nSeite, stellt sich die Frage, ob es zwischenzeitlich möglich ist, eine kostengünstigere Anlage zur\nVerkehrserhebung zu entwickeln. Damit wäre es möglich, eine dichtere Datenbasis zu schaffen und\ngleichzeitig den Anrainer*innen im Sinne eines Citizen Science-Projekts ein Werkzeug zu geben, um\nunter Wahrung des Datenschutzes eine objektive Grundlage für die Diskussion über die Gestaltung von\nVerkehrswegen zu schaffen. Darüber hinaus würde ein dezentrales und zugängliches System eine neue\nQualität im Diskurs um die Gestaltung von Verkehrsräumen darstellen.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5369 ], "date_start": "2024-04-04", "matrikelnr": "0250890", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "traffic counting", "machine learning", "object classification" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/jira_marcel-2024-baa/", "__class": "Publication" }, { "id": "kaipel_nikolas-2025-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Noisy Change Detection", "date": "2026-01-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image2", "main_file": false, "use_in_gallery": true, 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"https://www.cg.tuwien.ac.at/research/publications/2025/karampekios_anastasios-prj/", "__class": "Publication" }, { "id": "kazda-tmd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Design and Implementation of an AI-Based Edge Device for Automated Traffic Counting", "date": "2025-10-27", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 239, "image_height": 137, "name": "kazda-tmd-image.png", "type": "image/png", "size": 53206, "path": "Publication:kazda-tmd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5474 ], 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"Publication:kazda-tmd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/", "__class": "Publication" }, { "id": "knoetzl_alexander-2025-prj", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualizing cyclesafely data on a map", "date": "2025-12-15", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5443 ], "date_end": "2025-12-15", "date_start": "2025-01-27", "matrikelnr": "01525612", "supervisor": [ 948 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": 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100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/knoetzl_alexander-2025-prj/knoetzl_alexander-2025-prj-report:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/knoetzl_alexander-2025-prj/", "__class": "Publication" }, { "id": "kohlhas_jakob-2023-pra", "type_id": "runstudentproject", "tu_id": null, "repositum_id": null, "title": "Classify Unseen Objects - Weakly Supervised Learning", "date": "2023-11-06", "abstract": " a.) deep clustering, um fuer die aufgrund der Geometrie unterschiedlichen Klassen je 1 Label zu vergeben, b.) weakly supervised object classification mit diesen Labeln", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 230, "image_height": 284, "name": "kohlhas_jakob-2023-pra-image.png", "type": "image/png", "size": 104401, "path": "Publication:kohlhas_jakob-2023-pra", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kohlhas_jakob-2023-pra/kohlhas_jakob-2023-pra-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kohlhas_jakob-2023-pra/kohlhas_jakob-2023-pra-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5295 ], "date_start": "2023-11-06", "matrikelnr": "012208214", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "weakly supervised learning", "deep clustering", "point clouds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 230, "image_height": 284, "name": "kohlhas_jakob-2023-pra-image.png", "type": "image/png", "size": 104401, "path": "Publication:kohlhas_jakob-2023-pra", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kohlhas_jakob-2023-pra/kohlhas_jakob-2023-pra-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kohlhas_jakob-2023-pra/kohlhas_jakob-2023-pra-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kohlhas_jakob-2023-pra/", "__class": "Publication" }, { "id": "konrad-2020-baa", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Change Detection with Visibility", "date": "2020-09-20", "abstract": "If we do a 3D scan an interior room and repeat this after some time, we want to be able to detect which objects have been removed/added or simply been moved around. In many environments, it is useful to observe such changes, e.g. for inventarization of offices, warehouses or urban spaces. Furthermore, this information can be used to train deep learning algorithms for semantic understanding of such environments.\nDescription\nSince 3D scans can be done in real-time using Kinect or smartphones, we also want immediate results of the change detection, unlike previous work which may take seconds or even minutes. To achieve this, we will exploit a hierarchical data structure for the scanned data so that the change detection can be run in parallel. If we consider the known sensor device noise properties, we can also get robust results. Therefore, we will augment the data with the uncertainty from the 3D scanner so that we know how far the samples are allowed to diverge.\nHere is a paper detecting changes in point clouds and giving an overview of related work: https://perso.telecom-paristech.fr/boubek/papers/ChangeDetect3D/ChangeDetect3D.pdf\nTasks (extent depends on PR/BA/DA)\n\n Use a Kinect 3D scanner with the Infinitam software to scan an office room at two different times, resulting in an octree with data in its nodes\n Hand-align scans with Meshlab or register them using ICP (http://pointclouds.org/documentation/tutorials/iterative_closest_point.php) so that they correspond spatially\n Use visibility determined by merging view frusta from scan positions and truncated by depth images to determine which regions can be classified as changed/unchanged since visible in both old and new scan\n Evaluate the robustness of the algorithm by using a Blensor virtual scan of a ground truth 3D model", "authors_et_al": false, 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In this poster, we propose an extension to the proximity graph introduced in [MOW22] to three-dimensional models. We use the spheres-of-influence (SIG) proximity graph restricted to the 3D Delaunay graph to compute connectivity between points. Our approach shows a better encoding of the connectivity in relation to the ground truth than the k-nearest neighborhood (kNN) for a wide range of k values, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., improvements in normal estimation, surface reconstruction, motion planning, simulations, and many more.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "hidden", "image_width": 455, "image_height": 200, "name": "marin-2023-pic-image.png", "type": "image/png", "size": 20480, "path": "Publication:marin-2023-pic", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-image:thumb{{size}}.png" }, "sync_repositum_override": "booktitle", "repositum_presentation_id": null, "authors": [ 1848, 948, 193 ], "booktitle": "Eurographics 2023 - Posters", "cfp": { "name": "Screenshot from 2024-02-20 17-30-41.png", "type": "image/png", "error": 0, "size": 212121, "orig_name": "Screenshot from 2024-02-20 17-30-41.png", "ext": "png" }, "date_from": "2023-05-08", "date_to": "2023-05-12", "doi": "10.2312/egp.20231023", "editor": "Singh, Gurprit and Chu, Mengyu", "event": "Eurographics 2023", "isbn": "978-3-03868-211-0", "lecturer": [ 1848 ], "location": "Saarbrücken", "open_access": "yes", "pages": "2", "pages_from": "5", "pages_to": "6", "publisher": "Eurographics", "research_areas": [ "Geometry" ], "keywords": [ "Computing methodologies", "Point based models" ], "weblinks": [], "files": { "1": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2023-pic-paper.pdf", "type": "application/pdf", "size": 518325, "path": "Publication:marin-2023-pic", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-paper:thumb{{size}}.png" } }, "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/", "__class": "Publication" }, { "id": "marin-2024-dsr", "type_id": "poster", "tu_id": null, "repositum_id": "20.500.12708/201670", "title": "Distributed Surface Reconstruction", "date": "2024-04", "abstract": "Recent advancements in scanning technologies and their rise in availability have shifted the focus from reconstructing surfaces from point clouds of small areas to large, e.g., city-wide scenes, containing massive amounts of data. We adapt a surface reconstruction method to work in a distributed fashion on a high-performance cluster, reconstructing datasets with millions of vertices in seconds by exploiting the locality of the connectivity required by the reconstruction algorithm to efficiently divide-and-conquer the problem of creating triangulations from very large unstructured 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": 2017, "image_height": 1227, "name": "marin-2024-dsr-image.png", "type": "image/png", "size": 3376780, "path": "Publication:marin-2024-dsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1848, 1859, 948, 193 ], "booktitle": "EG 2024 - Posters", "cfp": { "name": "Call for Posters _ EUROGRAPHICS.pdf", "type": "application/pdf", "error": 0, "size": 210661, "orig_name": "Call for Posters _ EUROGRAPHICS.pdf", "ext": "pdf" }, "date_from": "2024-04-22", "date_to": "2024-04-26", "doi": "10.2312/egp.20241037", "editor": "Liu, Lingjie and Averkiou, Melinos", "event": "45th Annual Conference of the European Association for Computer Graphics (Eurographics 2024)", "isbn": "978-3-03868-239-4", "lecturer": [ 1848 ], "location": "Limassol", "pages": "2", "research_areas": [], "keywords": [ "Surface Reconstruction", "Distributed Computing", "Point Clouds", "High Performance Computing", "delaunay triangulation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2017, "image_height": 1227, "name": "marin-2024-dsr-image.png", "type": "image/png", "size": 3376780, "path": "Publication:marin-2024-dsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "marin-2024-dsr-paper.pdf", "type": "application/pdf", "size": 5699964, "path": "Publication:marin-2024-dsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/", "__class": "Publication" }, { "id": "marin-2024-pcp", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/196496", "title": "Parameter-free connectivity for point clouds", "date": "2024-02", "abstract": "Determining connectivity in unstructured point clouds is a long-standing problem that has still not been addressed satisfactorily. In this paper, we analyze an alternative to the often-used k-nearest neighborhood (kNN) graph - the Spheres of Influence Graph (SIG). We show that the edges that are neighboring each vertex are spatially bounded, which allows for fast computation of SIG. Our approach shows a better encoding of the ground truth connectivity compared to the kNN for a wide range of k, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., parameter-free normal estimation, and consequently, surface reconstruction, motion planning, simulations, and many more.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 742, "image_height": 912, "name": "marin-2024-pcp-image.jpg", "type": "image/jpeg", "size": 190057, "path": "Publication:marin-2024-pcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1848, 948, 193 ], "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP", "date_from": "2024-02-27", "date_to": "2024-02-29", "doi": "10.5220/0012394900003660", "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2024)", "isbn": "978-989-758-679-8", "lecturer": [ 1848 ], "location": "Rome", "open_access": "yes", "pages": "11", "pages_from": "92", "pages_to": "102", "publisher": "SciTePress, Science and Technology Publications", "volume": "1", "research_areas": [ "Geometry" ], "keywords": [ "Proximity Graphs", "Point Clouds", "Connectivity" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 742, "image_height": 912, "name": "marin-2024-pcp-image.jpg", "type": "image/jpeg", "size": 190057, "path": "Publication:marin-2024-pcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marin-2024-pcp-paper.pdf", "type": "application/pdf", "size": 2193223, "path": "Publication:marin-2024-pcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/", "__class": "Publication" }, { "id": "marin-2024-rcf", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/202374", "title": "Reconstructing Curves from Sparse Samples on Riemannian Manifolds", "date": "2024-06", "abstract": "Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive attention, primarily relying on human assistance, and where not, limited by very strict sampling conditions. In this work, we formally improve on the state-of-the-art requirements and introduce an innovative algorithm capable of reconstructing closed curves directly on surfaces from a given sparse set of sample points. We extend and adapt a state-of-the-art planar curve reconstruction method to the realm of surfaces while dealing with the challenges arising from working on non-Euclidean domains. We demonstrate the robustness of our method by reconstructing multiple curves on various surface meshes. We explore novel potential applications of our approach, allowing for automated reconstruction of curves on Riemannian manifolds.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "marin-2024-rcf-image.png", "type": "image/png", "size": 706684, "path": "Publication:marin-2024-rcf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image:thumb{{size}}.png" }, "sync_repositum_override": "date_from,date_to,event,lecturer,location,pages_from,pages_to", "repositum_presentation_id": "20.500.12708/202064", "authors": [ 1848, 5388, 5389, 948, 193 ], "articleno": "e15136", "date_from": "2024-06-24", "date_to": "2024-06-26", "doi": "10.1111/cgf.15136", "event": "Symposium on Geometry Processing", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1848 ], "location": "Boston", "number": "5", "pages": "14", "pages_from": "-", "pages_to": "-", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "CCS Concepts", "Graph algorithms", "Mesh geometry models", "Paths and connectivity problems" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "marin-2024-rcf-image.png", "type": "image/png", "size": 706684, "path": "Publication:marin-2024-rcf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/", "__class": "Publication" }, { "id": "marin-2024-sing", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/208566", "title": "SING: Stability-Incorporated Neighborhood Graph", "date": "2024-12", "abstract": "We introduce the Stability-Incorporated Neighborhood Graph (SING), a novel density-aware structure designed to capture the intrinsic geometric properties of a point set. We improve upon the spheres-of-influence graph by incorporating additional features to offer more flexibility and control in encoding proximity information and capturing local density variations. Through persistence analysis on our proximity graph, we propose a new clustering technique and explore additional variants incorporating extra features for the proximity criterion. Alongside the detailed analysis and comparison to evaluate its performance on various datasets, our experiments demonstrate that the proposed method can effectively extract meaningful clusters from diverse datasets with variations in density and correlation. 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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", "repositum_presentation_id": null, "authors": [ 948 ], "date_from": "2022-05-02", "date_to": "2022-05-02", "event": "Invited Talk", "lecturer": [ 948 ], "location": "LiX Polytechnique, Saclay-Paris, France", "research_areas": [], "keywords": [ "curve reconstruction", "surface reconstruction", "occlusions" ], "weblinks": [], "files": [ { "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" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2022-tut", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "Shape Reconstruction: From Theory to Practice", "date": "2022-04-25", "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, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation of a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results and easy integration of new algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "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" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1825, 1828 ], "booktitle": "Eurographics 2022 - Tutorials", "research_areas": [ "Geometry" ], "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": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2023-con", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Feature-Sized Sampling for Vector Line Art", "date": "2023-10-12", "abstract": "By introducing a first-of-its-kind quantifiable sampling algorithm based on feature size, we present a fresh perspective on the practical aspects of planar curve sampling. Following the footsteps of ε-sampling, which was originally proposed in the context of curve reconstruction to offer provable topological guarantees [ABE98] under quantifiable bounds, we propose an arbitrarily precise ε-sampling algorithm for sampling smooth planar curves (with a prior bound on the minimum feature size of the curve). 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. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 550, "image_height": 286, "name": "ohrhallinger_stefan-2023-con-image.png", "type": "image/png", "size": 96497, "path": "Publication:ohrhallinger_stefan-2023-con", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1825, 5297 ], "booktitle": "Proceedings of the 31th Pacific Conference on Computer Graphics and Applications", "doi": "https://doi.org/10.2312/pg.20231268", "event": "Pacific Graphics, Daejeon, South Korea, 2023", "lecturer": [ 948 ], "open_access": "yes", "pages_from": "1", "pages_to": "2", "research_areas": [ "Geometry" ], "keywords": [ "sampling", "vector line art", "meshing" ], "weblinks": [ { "href": "https://youtu.be/-x3UujZKe9E?si=QfHIyzQ0hyP3PqM3", "caption": "talk", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 550, "image_height": 286, "name": "ohrhallinger_stefan-2023-con-image.png", "type": "image/png", "size": 96497, "path": "Publication:ohrhallinger_stefan-2023-con", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger_stefan-2023-con-paper.pdf", "type": "application/pdf", "size": 8132185, "path": "Publication:ohrhallinger_stefan-2023-con", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/", "__class": "Publication" }, { "id": "ohrhallinger_stefan-2024-inv", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Sampling and reconstructing point clouds", "date": "2024-05-28", "abstract": "Curve and surface reconstruction from unstructured points represent a fundamental problem in computer graphics and computer vision, with many applications. The quest for better solutions for this ill-posed problem is riddled with various kinds of artifacts such as noise, outliers, and missing data.\n\nMoreover, the reconstruction problem usually implies further input requirements: how many samples do we need for a successful reconstruction, what properties should these samples satisfy and how can we obtain such sets. And once we obtain these point samples, how can we extract connectivity that best approximates the initial surface they have been sampled from?\n\nWe will discuss about various sampling strategies, corresponding reconstruction methods, with multiple applications in automating sketch coloring, adaptive meshing for faster simulations, and cultural heritage.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1310, "image_height": 596, "name": "ohrhallinger_stefan-2024-inv-image.png", "type": "image/png", "size": 762834, "path": "Publication:ohrhallinger_stefan-2024-inv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1848 ], "event": "TU Graz", "location": "Graz", "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "surface reconstruction", "sampling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1310, "image_height": 596, "name": "ohrhallinger_stefan-2024-inv-image.png", "type": "image/png", "size": 762834, "path": "Publication:ohrhallinger_stefan-2024-inv", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/", "__class": "Publication" }, { "id": "ohrhallinger-2021-egs", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/58727", "title": "2D Points Curve Reconstruction Survey and Benchmark", "date": "2021-03-09", "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, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation on a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results, and easy integration of new algorithms.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5275, "image_height": 1881, "name": "ohrhallinger-2021-egs-image.png", "type": "image/png", "size": 1212842, "path": "Publication:ohrhallinger-2021-egs", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1828, 1825, 1826, 1827 ], "cfp": { "name": "call.pdf", "type": "application/pdf", "error": "0", "size": "408947", "orig_name": "call.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2021-03-09", "event": "Eurographics 2021", "journal": "Computer Graphics Forum", "lecturer": [ 948, 1828, 1825 ], "location": "Online", "open_access": "yes", "pages": "22", "pages_from": "611", "pages_to": "632", "publisher": "Eurographics Association", "volume": "1", "research_areas": [ "Geometry" ], "keywords": [ "curve reconstruction", "state-of-the-art report", "benchmark" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/stef/curvebenchmark/", "caption": "Website", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5275, "image_height": 1881, "name": "ohrhallinger-2021-egs-image.png", "type": "image/png", "size": 1212842, "path": "Publication:ohrhallinger-2021-egs", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2021-egs-paper.pdf", "type": "application/pdf", "size": 4185295, "path": "Publication:ohrhallinger-2021-egs", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/", "__class": "Publication" }, { "id": "ohrhallinger-2022-e2t", "type_id": "talk", "tu_id": null, "repositum_id": "20.500.12708/153676", "title": "ECCV 2022 Tutorial on Outline and Shape Reconstruction in 2D", "date": "2022", "abstract": "Outline and shape 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, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. This multitude of reconstruction methods with quite different strengths and focus makes it a difficult task for users to choose a suitable algorithm for their specific problem. In this tutorial, we present proximity graphs, graph-based algorithms, algorithms with sampling guarantees, all in detail. Then, we show algorithms targeted at specific problem classes, such as reconstructing from noise, outliers, or sharp corners. Examples of the evaluation will show how its results can guide users to select an appropriate algorithm for their input data. As a special application, we show reconstruction of lines from sketches that can intersect themselves. Shape characterization of dot patterns will be shown as an additional field closely related to boundary reconstruction.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1825, 1828 ], "date_from": "22-10-23", "date_to": "22-10-27", "event": "ECCV 2022", "lecturer": [ 948, 1825, 1828 ], "location": "Tel Aviv", "research_areas": [], "keywords": [ "outline shape reconstruction" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger-2022-e2t/", "__class": "Publication" }, { "id": "pakkanen-2026-prj", "type_id": "runstudentproject", "tu_id": null, "repositum_id": null, "title": "Photo-refined point cloud reconstruction", "date": "2026-02-09", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 239, "name": "pakkanen-2026-prj-image.png", "type": "image/png", "size": 153908, "path": "Publication:pakkanen-2026-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/pakkanen-2026-prj/pakkanen-2026-prj-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/pakkanen-2026-prj/pakkanen-2026-prj-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5560 ], "co_supervisor": [ 948 ], "date_start": "2026-02-09", "matrikelnr": "12507307", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "SLAM", "photogrammetry", "surface reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 239, "name": "pakkanen-2026-prj-image.png", "type": "image/png", "size": 153908, "path": "Publication:pakkanen-2026-prj", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/pakkanen-2026-prj/pakkanen-2026-prj-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/pakkanen-2026-prj/pakkanen-2026-prj-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/pakkanen-2026-prj/", "__class": "Publication" }, { "id": "parakkat-2024-ballmerge", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/197864", "title": "BallMerge: High‐quality Fast Surface Reconstruction via Voronoi Balls", "date": "2024", "abstract": "We introduce a Delaunay-based algorithm for reconstructing the underlying surface of a given set of unstructured points in 3D. The implementation is very simple, and it is designed to work in a parameter-free manner. The solution builds upon the fact that in the continuous case, a closed surface separates the set of maximal empty balls (medial balls) into an interior and exterior. Based on discrete input samples, our reconstructed surface consists of the interface between Voronoi balls, which approximate the interior and exterior medial balls. An initial set of Voronoi balls is iteratively processed, merging Voronoi-ball pairs if they fulfil an overlapping error criterion. Our complete open-source reconstruction pipeline performs up to two quick linear-time passes on the Delaunay complex to output the surface, making it an order of magnitude faster than the state of the art while being competitive in memory usage and often superior in quality. We propose two variants (local and global), which are carefully designed to target two different reconstruction scenarios for watertight surfaces from accurate or noisy samples, as well as real-world scanned data sets, exhibiting noise, outliers, and large areas of missing data. The results of the global variant are, by definition, watertight, suitable for numerical analysis and various applications (e.g., 3D printing). Compared to classical Delaunay-based reconstruction techniques, our method is highly stable and robust to noise and outliers, evidenced via various experiments, including on real-world data with challenges such as scan shadows, outliers, and noise, even without additional preprocessing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 813, "image_height": 248, "name": "parakkat-2024-ballmerge-image.png", "type": "image/png", "size": 308382, "path": "Publication:parakkat-2024-ballmerge", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1825, 948, 823, 5297 ], "doi": "10.1111/cgf.15019", "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "2", "open_access": "yes", "pages": "13", "publisher": "WILEY", "volume": "43", "research_areas": [], "keywords": [ "surface reconstruction", "voronoi", "point clouds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 813, "image_height": 248, "name": "parakkat-2024-ballmerge-image.png", "type": "image/png", "size": 308382, "path": "Publication:parakkat-2024-ballmerge", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "parakkat-2024-ballmerge-paper.pdf", "type": "application/pdf", "size": 75917181, "path": "Publication:parakkat-2024-ballmerge", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/", "__class": "Publication" }, { "id": "pointner_simon-2022-maa", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/225169", "title": "Cycle Safely", "date": "2025", "abstract": "This thesis presents a design and implementation of an end-to-end collision prediction and detection pipeline tailored to cyclists. The primary goal is to predict potential collisions between the cyclist (ego agent) and other road users, particularly motorised vehicles, which pose a higher risk due to higher momentum and speed. The proposed pipeline integrates conventional techniques for solving the sub-tasks of object detection, object tracking, and trajectory forecasting. Specifically, Super Fast and Accurate 3D Object Detection (SFA3D) is used for the detection, a Kalman filter-based multi-object tracker for temporal association of these detections, and a machine learning-based model (prediction conditioned on goals in visual multi-agent settings) is adapted and trained for the prediction of future trajectories. CARLA driving simulator facilitates the training and development of the prediction model by creating a synthetic dataset of cycling and the interaction with other road users. The system is evaluated on the synthetic dataset and also on the real-world KITTI dataset, and additional ablation studies examine the contribution of each pipeline stage. Experiments demonstrate that the proposed approach is capable of achieving reliable performance in object detection and tracking tasks. This confirms the feasibility of such a pipeline under limited sensing capabilities, such as LIDAR and GPS/IMU measurements. However, trajectory prediction remains a difficult and computationally expensive task, primarily due to the lack of documented and easily deployable open-source models. The implementation comes with a visualisation framework, built from the Rerun tool, for interactive inspection of the pipeline’s intermediate and final results.The contribution of this thesis can be summarised by the implementation of a framework for cyclist collision detection. 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"slajcho_levente-baa", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "CycleSafely - record depth images", "date": "2024-12-04", "abstract": "Tasks:\n- mount the devices by stativ interface (OAK-D, Insta 360 X2 ONE, Smartphone) on bicycle (helmet and handlebar) - possibly 3d print, ideally something low-threshold that everyone can easily construct\n- connect powerbank (<3mAh per hour, since 3A/5V) by cutting/connecting cables or finding a suitable adapter\n- oak-d: usb cable to smartphone, transfer point clouds to smartphone (SDK? python)\n- transfer photos from insta 360 to smartphone and de-fish eye it (get code from Aleks)\n- estimate depth from photo (for insta 360 and smartphone) - can maybe use the network from the camera (or camera directly)\n- client/server transfer (get code from Aleks) of point clouds to server (where pipeline of simon takes over the rest)\n\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 205, "name": "slajcho_levente-baa-image.png", "type": "image/png", "size": 173043, "path": "Publication:slajcho_levente-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/slajcho_levente-baa/slajcho_levente-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/slajcho_levente-baa/slajcho_levente-baa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5352 ], "date_start": "2024-12-04", "matrikelnr": "01634250", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "bicycle", "scanning", "client-server" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 205, "name": "slajcho_levente-baa-image.png", "type": "image/png", "size": 173043, "path": "Publication:slajcho_levente-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/slajcho_levente-baa/slajcho_levente-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/slajcho_levente-baa/slajcho_levente-baa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/slajcho_levente-baa/", "__class": "Publication" }, { "id": "slavtchev-dcd", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "Drone change detection", "date": "2025", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5528 ], "co_supervisor": [ 948 ], "date_start": "2025-06-16", "matrikelnr": "00000000", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "change detection", "drone", "3d scanning" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/slavtchev-dcd/", "__class": "Publication" }, { "id": "starnberger-cli", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "CycleSafely LIDAR input", "date": "2025", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5525 ], "co_supervisor": [ 948 ], "date_start": "2025-09-18", "matrikelnr": "12102526", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [ "lidar", "object detection", "collision visualization" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/starnberger-cli/", "__class": "Publication" }, { "id": "steinheber-2024-oto", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Observation and Tracking of Plant Health using Computer Vision", "date": "2025-02-19", "abstract": "- select neural network for classification of diseases, dryness of soil etc. with multispectral analysis, with open source, input should be image of plant bed (with several diverse plants), pipeline with segmentation (in same paper, or find segmentation paper)\n- optional: classify and segment plants\n- optional: growth analysis: blueten, wie schnell waechst die pflanze\n- search for data sets for training for generic plants (as many plants as possible), possibly combine several\n- evaluation with cheap IP RGB camera, and multispectral camera, e.g., RGB+IR or more\n- optional: evaluate soil dryness from images with dryness sensor\n \nresearch question: how well does such a system work with a commodity setup - for indoor and outdoor\nablation studies for indoor (more controlled environment) and outdoor, as well as RGB or RGB+IR++", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 332, "image_height": 332, "name": "steinheber-2024-oto-image.png", "type": "image/png", "size": 212356, "path": "Publication:steinheber-2024-oto", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5354 ], "date_end": "2025-02-19", "date_start": "2024-04-19", "matrikelnr": "12022506", "note": "1", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "plants", "health monitoring", "computer vision" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 332, "image_height": 332, "name": "steinheber-2024-oto-image.png", "type": "image/png", "size": 212356, "path": "Publication:steinheber-2024-oto", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/", "__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, "repositum_presentation_id": null, "authors": [ 1755 ], "date_end": "2022-01-24", "date_start": "2020-03-23", "matrikelnr": "01426150", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "change detection", "uncertainty", "3d scanning" ], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinschauer-2020-baa-bachelor thesis.pdf", "type": "application/pdf", "size": 1772406, "path": "Publication:steinschauer-2020-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-bachelor thesis.pdf", "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-bachelor thesis:thumb{{size}}.png" }, { "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" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/", "__class": "Publication" }, { "id": "trenovatz-lpd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "License Plate detection with video", "date": "2025-09-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 499, "image_height": 446, "name": "trenovatz-lpd-image.png", "type": "image/png", "size": 157000, "path": "Publication:trenovatz-lpd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5473 ], "co_supervisor": [ 948 ], "date_end": "2025-09-30", "date_start": "2025-02-28", "matrikelnr": "11924505", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "keywords": [ "license plate recognition", "traffic supervision", "traffic counting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 499, "image_height": 446, "name": "trenovatz-lpd-image.png", "type": "image/png", "size": 157000, "path": "Publication:trenovatz-lpd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "trenovatz-lpd-thesis.pdf", "type": "application/pdf", "size": 983093, "path": "Publication:trenovatz-lpd", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/", "__class": "Publication" }, { "id": "tumpach_barbara-pra", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Meshing signed distance functions with epsilon-sampling", "date": "2024-03-13", "abstract": "task 1: good sphere tracing explanation and 10 lines pseudo code, further down also normals computation: https://jamie-wong.com/2016/07/15/ray-marching-signed-distance-functions/\n\nFor task 2, design an algorithm that shrinks the radius of the maximum tangent sphere (=local feature size) normal to a given point on the SDF surface, from an initial value (=bounding box diagonal) without skipping over the optimal value by decreasing the radius successively as a function of the SDF value at the sphere center\n\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5349 ], "date_start": "2024-03-13", "matrikelnr": "12042165", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "signed distance functions", "sampling", "meshing" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/tumpach_barbara-pra/", "__class": "Publication" }, { "id": "vasiljevic-gpc", "type_id": "runbachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generate point clouds from monocular video for object detection", "date": "2025-04-22", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5470 ], "co_supervisor": [ 948 ], "date_start": "2025-04-22", "matrikelnr": "12024716", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "monocular video", "object detection", "point clouds" ], "weblinks": [], "files": [], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vasiljevic-gpc/", "__class": "Publication" }, { "id": "wiesinger_2025-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Using a drone for automated 3D Scanning", "date": "2025-03-28", "abstract": "Drones have been widely adopted over the past decades, aiding in critical tasks such as\nsearch and rescue, inspection, and mapping. Autonomous drone scanning could further\nsupport such missions, but remains a significant challenge in indoor environments. This\nthesis explores the feasibility of using a consumer drone for such autonomous indoor 3D\nscanning. Our approach combines a DJI Spark drone, a lightweight Pico Flexx depth\nsensor, and a Raspberry Pi to capture depth data, which is streamed to an external\nserver for real-time processing. The system leverages ROS 2 and InfiniTAM for SLAM\nand map reconstruction, while navigation commands are issued via a smartphone using\nDJI’s Mobile SDK.\nAlthough the system successfully completed a limited autonomous scan, various con-\nstraints—including the drone’s payload capacity, limited sensor range, and hardware\ninstabilities—posed significant challenges. Despite these limitations, a modular software\narchitecture was developed that integrates sensing, mapping, and navigation. This\nframework provides a solid foundation for future work toward fully autonomous indoor\nscanning with more capable hardware. However, generating the next best view and\nfinding a feasible path toward it remain open challenges.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5296 ], "date_end": "2025-03-28", "date_start": "2023-07-13", "matrikelnr": "11938253", "supervisor": [ 193, 948 ], "research_areas": [ "Geometry" ], "keywords": [ "drone", "scanning", "automation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "name": "wiesinger_2025-baa-image.png", "type": "image/png", "size": 351129, "path": "Publication:wiesinger_2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wiesinger_2025-baa-thesis.pdf", "type": "application/pdf", "size": 87944075, "path": "Publication:wiesinger_2025-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/", "__class": "Publication" }, { "id": "wiesinger_klemens-2023-baa", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Using a Drone for Automated 3D Scanning", "date": "2023-07-04", "abstract": "Tasks für BA:\n- get drone to fly and transmit from raspi to server\n- transmit best coordinates (relative vector, relative angles) from output of guided scanning infinitam plugin to drone\n- evaluate with manual control with a user study on how fast and complete an interior room can be scanned", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 313, "name": "wiesinger_klemens-2023-baa-image.png", "type": "image/png", "size": 233669, "path": "Publication:wiesinger_klemens-2023-baa", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image:thumb{{size}}.png" }, 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"leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d10027", "workgroup_id": "vis", "drupal_id": 10027, "drupal_path": "/research/projects/VAVis", "name": "Visual Analytics und Visualisierung", "name_de": "Visual Analytics und Visualisierung", "short_title": "VAVis", "website": null, "status": "active", "short_abstract": null, "abstract": "Im Rahmen des Projekts werden akademische Arbeiten mit einem Unternehmenspartner des VRVis betreut, andere Projektmanagementtätigkeiten (Projekte: HEROD und REINFORCE) durchgeführt, sowie gemeinsame Publikationstätigkeiten forciert und andere wissenschaftliche Kooperationen angestrebt. Deliverables: Endberichte unter anderem für die genannten Projekte, Papers, Tätigkeitsberichte für akademische Arbeiten (für COMET Jahresberichte), nach Absprache andere Dokumente und Deliverables.
\nPotree ist ein seit 2012 entwickelter Open-Source Punktwolkenviewer für Web Browser, der von zahlreichen Instituten und Firmen zur Visualisierung von 3D Scandaten verwendet wird. Mithilfe von Netidee wollen wir eine WebGPU-basierte Neuauflage schaffen die modernen Anforderungen genügt. Das Projekt richtet sich an Personen die massive Punktwolkendaten schnell und einfach über Browser ihren Benutzern darstellen wollen. Darunter fallen insbesondere Archäologen (Scans von Ruinen, Artefakten, Gebäuden), Architekten und Planer (Dokumentation des Ist-Zustandes), Regierungseinrichtungen (Ländermodelle z.B. Niederlande: 640 Milliarden Punkte, USA: 57 Billionen Punkte) und mehr. Wir wollen den erst dieses Jahr veröffentlichten \"WebGPU\" Standard für Browser dazu nutzen Potree - mit häufig angeforderten aber bis dahin kaum realisierbaren Features - frischen Wind zu geben. Insbesondere fallen darunter eine neue Level-of-Detail Datenstruktur mit verbesserter Qualität und Kompressionsrate, Unterstützung vom \"3D-Tiles\" Standard um auch Dreiecksmodelle zu supporten, sowie ein User Interface um beliebige Punktattribute - welche Essentieller Bestandteil sind - zu visualisieren. Wir schreiben Potree von Grund auf neu in WebGPU. Die seit 2023 verfügbaren Compute Shader erlauben es uns viele teure Processing schritte auf die GPU auszulagern, wodurch wir gestreamte 3D Daten - für die allgemeine Komprimierung ineffizient und langsam ist - direkt auf der GPU decoden können. User werden eigene Shader zum Rendern beliebiger Attribute schreiben, oder von defaults wählen können.
", "start_date": "2024-01-01", "end_date": "2025-06-30", "leader_id": { "id": 1116, "drupal_id": 302, "orcid_id": "0000-0002-8166-3089", "website": "https://www.cg.tuwien.ac.at/staff/MarkusSchütz", "firstname": "Markus", "lastname": "Schütz", "searchname": "Markus Schütz", "is_teacher": false, "name": "Markus Schütz", "publications": [ "erler-2025-lidarscout", "goel-2024-rdr", "kroesl_x_card_2017", "Martinez-2015-TTB", "OTEPKA-2020-PPC", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "TR 193-02-2019-4", "TR 193-2-2019-4", "unterguggenberger-2024-fropo" ], "publications_first": [], "project_leader": [ "d9691" ], "publication_field": [ { "publ_id": "BAUER-2024-PWG", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "BAUER-2025-PCW", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "ERLER-2017-HVR", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "FRAISS-2017-PCU", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "gersthofer_2017_COP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "goel-2024-rdr", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "KLAUS-2020-PCC", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "KLAUS-2020-PCC", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "KRISTMANN-24-JPG", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "probst-2023-para", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "rumpler_2019_PPC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Rumpler-2019-PPC", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "RUMPLTER_2019-LVR", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "SCHUETZ-2015-HQP", "field_id": "lecturer", 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[], "research_areas": [], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/Potree-Next", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], 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"FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", 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"hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", 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"markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d4559", "workgroup_id": "rend", "drupal_id": 4559, "drupal_path": "/research/projects/ECOLOPES", "name": "ECOlogical building enveLOPES: a game-changing design approach for regenerative urban ecosystems", "name_de": "ECOlogical building enveLOPES: a game-changing design approach for regenerative urban ecosystems", "short_title": "ECOLOPES", "website": "www.ecolopes.org", "status": "active", "short_abstract": null, "abstract": null, "start_date": "2021-04-01", "end_date": "2025-03-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", 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"realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d4534", "workgroup_id": "vis", "drupal_id": 4534, "drupal_path": "/research/projects/xCTing", "name": "xCTing - Enabling X-ray CT based Industry 4.0 process chains by training Next Generation research experts", "name_de": "Aktivierung von auf Röntgen-CT basierenden Prozessketten der Industrie 4.0 durch die Ausbildung von Forschungsexperten der nächsten Generation", "short_title": "xCTing", "website": null, "status": "active", "short_abstract": null, "abstract": null, "start_date": "2021-03-01", "end_date": "2025-02-28", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", 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"Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d4729", "workgroup_id": "rend", "drupal_id": 4729, "drupal_path": "/research/projects/Unbeständige-Körper", "name": "Unstable Bodies", "name_de": "Unbeständige Körper", "short_title": "Unbeständige Körper", "website": null, "status": "active", "short_abstract": null, "abstract": null, "start_date": "2021-12-01", "end_date": "2024-11-30", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", 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These techniques were developed during an artistic research project and the creation of an accompanying art installation, which exhibits an analog stereo short film projected on a re-creation of a cyclostéréoscope, a historic device developed around 1952. 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"ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d9555", "workgroup_id": "vis", "drupal_id": 9555, "drupal_path": "/research/projects/weBIGeo", "name": "Massive geographische Datenvisualisierung mit WebGPU", "name_de": "Massive geographische Datenvisualisierung mit WebGPU", "short_title": "weBIGeo", "website": "https://www.cg.tuwien.ac.at/research/projects/weBIGeo", "status": "active", "short_abstract": "Geographische Daten, wie etwa Bewegungsdaten oder geolokalisierte Messungen über die Zeit, sind oft mehrere Gigabyte groß und können daher nicht mehr mit klassischen online Tools analysiert und präsentiert werden. Wir wollen helfen, Datenwissenschaftler_innen, Datenjournalist_innen und der breiten Masse diese Daten durch interaktive Echtzeitvisualisierung im Web zugänglich machen.
Geographische Daten, wie etwa Bewegungsdaten oder geolokalisierte Messungen über die Zeit, sind oft mehrere Gigabyte groß und können daher nicht mehr mit klassischen online Tools analysiert und präsentiert werden. Wir wollen helfen, Datenwissenschaftler_innen, Datenjournalist_innen und der breiten Masse diese Daten durch interaktive Echtzeitvisualisierung im Web zugänglich machen.
Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", "knoetzl_alexander-2025-prj", "koeppel-2021", "Kolter_2021", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch-2021-lov", "Kuroko-2020-iV", "Laschober-2018", "li-2019-gdc", "lippeck-2022-mna", "louis-alexandre_dit_petit-frere-2022-veo", "magg2022", "mahler-2021-mdar", "martorell2022", "maruyama-2019-iv", "Matkovic_Kresimir_2015_", "Matkovic-2014-ieee", "matt-2024-cvil", "matt-2025-scv", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "medeiros-2023-gwf", "meka-2024-lpi", "melcher-2024-asi", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao2018Dimsum", "mizuno-2019-eurovis", "Muehlbacher_diss_2018", "musleh_maath_2021_mam", "musleh_maath-2021-mam1", "musleh_maath-2021-mam2", "Musleh_PhD", "musleh-2022-mam5", "musleh-2025-trustme", "Neubauer2020", "Nowak_2021", "ortner-2016-tunnel", "ortner-2016-visaware", "pahr-2024-ieo", "PH-2011-LDS", "Pilizar_-2020-bachelor", "pirch_2021_VRN", "pointner_simon-2020", "polatsek-2018-stv", "Presch_2020", "Priselac2021", "Purchase-2020-gd", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2019_prsps", "Ribicic_2012_VAS", "Rippberger_2019", "sakr_sherif-2020-cacm", "samoul-2019-cnp", "sbardellati-2021-eveos", "schmidt-phd", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sikachev_peter-2011-protovis", "smiech-2018-tei", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "spegel-gruenberger-2020", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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Our data-driven overlays are generated in a multi-step compute workflow from multiple data sources on the GPU. We demonstrate their potential by showing results from snow cover and avalanche simulations, where simulation parameters can be adjusted interactively and results are visualized instantly. 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Expert tools for three-dimensional atmospheric exploration exist, but\ntarget domain scientists on dedicated workstation infrastructure. This thesis presents a\npipeline for the real-time volumetric rendering of meteorological cloud data within the\nweBIGeo web-based geographic visualization platform, with the goal of making cloud\nstructure intuitively readable to general users in a standard web browser.\nThe pipeline transforms hourly ICON-D2 forecast output into a compressed, streamable\ntile hierarchy that a WebGPU ray-marcher samples at interactive frame rates. Preprocessing\na single forecast timestamp completes in approximately 33 s of compute time,\nproducing a tile hierarchy of roughly 86MiB on average. Rendering cost is well within\ninteractive bounds: even under high cloud coverage, the cloud pass consumes around\n2.25ms of GPU time, a small fraction of the 33ms budget for 30 fps. Qualitative evaluation\nagainst EUMETSAT satellite imagery shows that large-scale cloud patterns are\nreproduced with reasonable fidelity. Comparison against webcam imagery reveals three\nconcrete limitations: the coarse and non-uniform vertical resolution of the source data\nis insufficient to resolve sharp fog layer boundaries, the sub-grid density distribution\ndoes not preserve the character of small cloud elements such as wispy puffs, and the tile\nresolution is too coarse to encode the surface texture of individual cumulus cells. The\nsystem is best understood as a large-scale atmospheric context layer rather than a precise\nlocal forecast tool.", "authors_et_al": false, "substitute": null, "main_image": { "description": "clouds in weBIGeo", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1958, "image_height": 1159, "name": "muth-2026-clouds-teaser.png", "type": "image/png", "size": 4142519, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5585 ], "date_end": "2026-03", "date_start": "2025-10", "matrikelnr": "12226614", "supervisor": [ 1110 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "https://github.com/Qendolin/webigeo-clouds", "caption": "GitHub Cloud Renderer", "description": null, "main_file": 0 }, { "href": "https://github.com/Qendolin/webigeo-clouds-server", "caption": "GitHub Cloud Preprocessing Server", "description": null, "main_file": 0 } ], "files": [ { "description": "clouds in weBIGeo", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1958, "image_height": 1159, "name": "muth-2026-clouds-teaser.png", "type": "image/png", "size": 4142519, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "muth-2026-clouds-thesis.pdf", "type": "application/pdf", "size": 20583815, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-thesis:thumb{{size}}.png" }, { "description": "Short video sequence zooming into a cloudy scene", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "muth-2026-clouds-video.mp4", "type": "video/mp4", "size": 8692035, "path": "Publication:muth-2026-clouds", "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video:video.mp4" } ], "projects_workgroups": [ "d9555" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/weBIGeo", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile 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Technologischer Fortschritt ermöglicht es, die zugrundeliegende Geometrie solcher 3D-Welten nun auch online effizient mittels rein mathematischer Beschreibung zu erstellen. Generell ist das geplante Tool für alle, die sehen wollen, wie man schnell und einfach mit Hilfe von Mathematik Objekte oder Landschaften generieren kann. Neben diesem spielerischen/lehrenden Charakter kann das Tool von professionellen Spieleentwicklern, Architekten und 3D-Modellieren genutzt werden, um erste Entwürfe oder auch ganze 3D-Modelle zu generieren - alles ganz komfortabel online. Mathematische Modellierung kann in Desktopsoftware wie Rhino 6 (Grasshopper) oder auch mittels Blender (Geometry Nodes) durchgeführt werden. Allerdings erfordert dies die Installation der (teils kostenpflichtigen) Software und erheblichen Einarbeitungsaufwand. Bestehende Onlinetools arbeiten relativ langsam. Unser Onlinetool soll die Eintrittshürden senken und schnelle und einfache Modellierung aus mathematischen Formeln ermöglichen, wie man es sich von einem modernen Onlinetool erwartet. Mathematische Modellierung als Onlinetool war bisher aus technischer Sicht nur schwierig bzw. ineffizient zu lösen. Seit April 2023 hält allerdings eine neue Schnittstelle Einzug in moderne Browser, nämlich \"WebGPU\". Sie ermöglicht nun erstmalig das Ausführen sogenannter \"Compute Shader\" direkt im Browser, somit können allgemeine Berechnungen GPU-beschleunigt durchgeführt werden.
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This is achieved by importing data conforming to a predefined format that abstractly describes the structure of plant organisms. Upon import, the plugin generates 3D surfaces for the branching structures and employs instancing for rendering leaves efficiently. One of the key features of the plugin is its adaptive surface subdivision mechanism, which dynamically generates the surface at different levels of detail based on the proximity to the camera.\n\nThe plugin's implementation leverages Godot's GDPlugin feature to seamlessly integrate into the engine's workflow. The procedural generation of plant structures is achieved through algorithmic processes that translate \"tree skeletons\" into 3D surfaces. However, due to limitations inherent in Godot 3, the adaptive subdivision mechanism is implemented on the CPU. In tests, this resulted in the following: Exports of models in the highest level of detail yielded better performance than models with adaptive subdivision.\n\nThe thesis covers the design, implementation, and theory behind the plugin. An evaluation of the plugin's functionality and performance is conducted, highlighting its capability to dynamically adapt the mesh at runtime. Performance comparisons between the adaptive subdivision approach and using the exported surface are presented, revealing the issues with the implementation on the CPU.\n\nIn conclusion, the developed plugin presents a novel approach to procedurally generate and render complex plant structures within the Godot 3.5 game engine. It extends the capabilities of the engine in creating realistic virtual environments while addressing the challenges of adaptive subdivision on the CPU. The thesis explores the intricacies of integrating such plugins into game engines and opens avenues for further optimizations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser-img", "main_file": false, "use_in_gallery": false, "access": "hidden", "image_width": 741, "image_height": 1032, "name": "Grossfurtner-2023-paego-teaser-img.png", "type": "image/png", "size": 629380, "path": "Publication:Grossfurtner-2023-paego", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-teaser-img.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-teaser-img:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5302 ], "date_end": "2023-12", "date_start": "2021-11", "matrikelnr": "0271409", "supervisor": [ 193 ], 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"EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d4388", "workgroup_id": "rend", "drupal_id": 4388, "drupal_path": "/research/projects/Images2Mesh-Web", "name": "Photogrammetry made easy", "name_de": "Photogrammetrie einfach gemacht", "short_title": "Images2Mesh Web", "website": null, "status": "active", "short_abstract": null, "abstract": "Dieses Projekt richtet sich an alle Menschen, die gerne etwas in der echten Welt einscannen und anderen Menschen als 3D-Modell zeigen wollen. Beispielsweise könnte ein Artist unterwegs eine interessante Skulptur finden und diese in ein Spiel einbauen oder als Miniatur ausdrucken. Raumplaner könnten z.B. eine Kreuzung einscannen, nach ihren Plänen verändern und diese damit besser kommunizieren.
", "start_date": "2020-12-01", "end_date": "2024-03-31", "leader_id": { "id": 1395, "drupal_id": 1078, "orcid_id": "0000-0002-2790-9279", "website": "https://www.cg.tuwien.ac.at/staff/PhilippErler", "firstname": "Philipp", "lastname": "Erler", "searchname": "Philipp Erler", "is_teacher": false, "name": "Philipp Erler", "publications": [ "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2025-lidarscout", "ilcik-2021-xmas" ], "publications_first": [], "project_leader": [ "d4388" ], "publication_field": [ { "publ_id": "clemenz_2019_rosy_fields", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "clemenz_2019_rosy_fields", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "erler_2024_ppsurf", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "erler-2020-p2s", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "erler-2025-lidarscout", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "hofer_kerstin-2023-sketch2model", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kapferer_2021_advancing", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "pichler_2022_fro", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "riegler_2020_framework", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "steinschorn-2023-p2m", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "steinschorn-2025-par", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "steinschorn-2025-parameter", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1395", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:d4388", "type": "image/png", "size": 1173196, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d4388/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" } ], "publications": [ { "id": "erler_2024_ppsurf", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192690", "title": "PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction", "date": "2024-01-12", "abstract": "Abstract 3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non-data-driven surface representation to fit the points, or learn a data-driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data-driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade-off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state-of-the-art. Our source code, pre-trained model and dataset are available at https://github.com/cg-tuwien/ppsurf.", "authors_et_al": false, "substitute": null, "main_image": { "description": "PPSurf teaser with comparison", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2288, "image_height": 740, "name": "erler_2024_ppsurf-teaser.png", "type": "image/png", "size": 1734284, "path": "Publication:erler_2024_ppsurf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser:thumb{{size}}.png" }, "sync_repositum_override": "number,volume", "repositum_presentation_id": null, "authors": [ 1395, 5317, 1919, 627, 1184, 193 ], "date_from": "2020", "date_to": "2024-01-12", "doi": "https://doi.org/10.1111/cgf.15000", "event": "Eurographics 2024", "first_published": "2024-01-12", "html_block": "In recent years, virtual and augmented reality have gained widespread attention because of newly developed head-mounted displays. For the first time, mass-market penetration seems plausible. Also, range sensors are on the verge of being integrated into smartphones, evidenced by prototypes such as the Google Tango device, making ubiquitous on-line acquisition of 3D data a possibility. The combination of these two technologies – displays and sensors – promises applications where users can directly be immersed into an experience of 3D data that was just captured live. However, the captured data needs to be processed and structured before being displayed. For example, sensor noise needs to be removed, normals need to be estimated for local surface reconstruction, etc. The challenge is that these operations involve a large amount of data, and in order to ensure a lag-free user experience, they need to be performed in real time, i.e., in just a few milliseconds per frame. In this proposal, we exploit the fact that dynamic point clouds captured in real time are often only relevant for display and interaction in the current frame and inside the current view frustum. In particular, we propose a new view-dependent data structure that permits efficient connectivity creation and traversal of unstructured data, which will speed up surface recovery, e.g. for collision detection. Classifying occlusions comes at no extra cost, which will allow quick access to occluded layers in the current view. This enables new methods to explore and manipulate dynamic 3D scenes, overcoming interaction methods that rely on physics-based metaphors like walking or flying, lifting interaction with 3D environments to a “superhuman” level.
\r\n", "abstract": "In recent years, virtual and augmented reality have gained widespread attention because of newly developed head-mounted displays. For the first time, mass-market penetration seems plausible. Also, range sensors are on the verge of being integrated into smartphones, evidenced by prototypes such as the Google Tango device, making ubiquitous on-line acquisition of 3D data a possibility. The combination of these two technologies – displays and sensors – promises applications where users can directly be immersed into an experience of 3D data that was just captured live. However, the captured data needs to be processed and structured before being displayed. For example, sensor noise needs to be removed, normals need to be estimated for local surface reconstruction, etc. The challenge is that these operations involve a large amount of data, and in order to ensure a lag-free user experience, they need to be performed in real time, i.e., in just a few milliseconds per frame. In this proposal, we exploit the fact that dynamic point clouds captured in real time are often only relevant for display and interaction in the current frame and inside the current view frustum. In particular, we propose a new view-dependent data structure that permits efficient connectivity creation and traversal of unstructured data, which will speed up surface recovery, e.g. for collision detection. Classifying occlusions comes at no extra cost, which will allow quick access to occluded layers in the current view. This enables new methods to explore and manipulate dynamic 3D scenes, overcoming interaction methods that rely on physics-based metaphors like walking or flying, lifting interaction with 3D environments to a “superhuman” level.
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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=fwf", "__class": "FundingOrganisation" } } ], "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "VR", "drupal_id": 4126, "name": "Virtual Reality", "short_abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "website": "https://www.cg.tuwien.ac.at/research/area/VR", "teaser": { "name": "teaser.jpg", "path": "research_area:VR", "type": "image/jpeg", "size": 191119, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/VR/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend", "vis" ], "publications": [ "adolf-2019-jug", "Alharbi_2021", "antes-2026-maa", "Bayer_Alexander_2021_FTiVR", "Erhardt_2025_Scutes", "gall-2025-marv", "Goellner_2019-ABC", "gramegna-rfr", "hladky-2022-QS", "huber-2025-eed", "huber-2025-esl", "Kan_Peter-2021-MDPI", "kan-2019-dli", "Kathi-2018-VRB", "Kovacs_2020", "Kroesl_2020_11_09", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "medeiros-2023-gwf", "Mirzaei_Mohammadreza_2020-EVR", "Mortezapoor2021ssc", "panfili-2019-VAVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "sorger-2021-egonet", "Sprung_2021", "Vasylevska2020VRB", "Vonach021", "walchhofer_ar_flowmaps", "walchhofer-tso" ], "projects": [ "BimFlexi", "d4322", "d9275", "EU U-CREATE", "EvaluARte", "MARG", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=VR", "__class": "ResearchArea" } ], "publications": [ { "id": "erler_2024_ppsurf", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192690", "title": "PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction", "date": "2024-01-12", "abstract": "Abstract 3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non-data-driven surface representation to fit the points, or learn a data-driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data-driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade-off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state-of-the-art. Our source code, pre-trained model and dataset are available at https://github.com/cg-tuwien/ppsurf.", "authors_et_al": false, "substitute": null, "main_image": { "description": "PPSurf teaser with comparison", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2288, "image_height": 740, "name": "erler_2024_ppsurf-teaser.png", "type": "image/png", "size": 1734284, "path": "Publication:erler_2024_ppsurf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser:thumb{{size}}.png" }, "sync_repositum_override": "number,volume", "repositum_presentation_id": null, "authors": [ 1395, 5317, 1919, 627, 1184, 193 ], "date_from": "2020", "date_to": "2024-01-12", "doi": "https://doi.org/10.1111/cgf.15000", "event": "Eurographics 2024", "first_published": "2024-01-12", "html_block": "This research project focuses on 3D motion analysis and motion learning methodologies. We design novel methods for automated analysis of human motion by machine learning. These methods can be applicable in real training scenario or in VR training setup. The results of our motion analysis can help players better understand the errors in their motion and lead to improvement of motion performance. Our motion analysis methods are based on professional knowledge from tennis experts from our partner company VR Motion Learning GmbH & Co KG. We use numerous motion features, including rotations, positions, velocities and others, to analyze the motion.
\r\n\r\nOur goal is to use virtual reality as scenario for learning correct tennis technique that will be applicable in real tennis game. For this purpose, we plan to join our motion analysis with error visualization techniques in 3D and with novel motion learning methodologies. These methodologies may lead to learning correct sport technique, improvement of performance and prevention of injuries.
\r\n", "abstract": "This research project focuses on 3D motion analysis and motion learning methodologies. We design novel methods for automated analysis of human motion by machine learning. These methods can be applicable in real training scenario or in VR training setup. The results of our motion analysis can help players better understand the errors in their motion and lead to improvement of motion performance. Our motion analysis methods are based on professional knowledge from tennis experts from our partner company VR Motion Learning GmbH & Co KG. We use numerous motion features, including rotations, positions, velocities and others, to analyze the motion.
\r\n\r\nOur goal is to use virtual reality as scenario for learning correct tennis technique that will be applicable in real tennis game. For this purpose, we plan to join our motion analysis with error visualization techniques in 3D and with novel motion learning methodologies. These methodologies may lead to learning correct sport technique, improvement of performance and prevention of injuries.
\r\n", "start_date": "2020-02-01", "end_date": "2022-10-31", "leader_id": { "id": 378, "drupal_id": 366, "orcid_id": "0000-0002-0322-9869", "website": "https://www.cg.tuwien.ac.at/staff/HannesKaufmann", "firstname": "Hannes", "lastname": "Kaufmann", "searchname": "Hannes Kaufmann", "is_teacher": false, "name": "Hannes Kaufmann", "publications": [ "adolf-2019-jug", "brument_2019_br19", "Goellner_2019-ABC", "huber-2025-esl", "kan-2019-dli", "Kauf-2000-Con", "medeiros-2025-iaa", "Mirzaei_Mohammad-2021", "Mirzaei_Mohammad-2021-HeadUp", "Mirzaei_Mohammadreza_2020-EVR", "Mirzaei_Mohhamad-2021", "mortezapoor-2022-photogrammabot", "Mossel_Annette_2020-TVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "Sebernegg2020", "Vasylevska_Khrystyna-2019-TEFVR", "Vasylevska2020VRB", "Vonach021", "wimmer-2022-acd" ], "publications_first": [], "project_leader": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "publication_field": [ { "publ_id": "adolf-2019-jug", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Bayer_Alexander_2021_FTiVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kan-2019-dli", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "koessler-2021-i3d", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kovacs_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mirzaei_Mohammadreza_2020-EVR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "podkosova-2019-MVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Prossenitsch_2019-1", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schlager-2021-ddo", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schuller_reichl-2019-avt", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schwaerzler_2018_phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Sprung_2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "unterguggenberger-2016-realmar", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wang-sukalia-2022-mom", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=378", "__class": "Author" }, "logo": { "name": "logo.jpg", "path": "project:d4322", "type": "image/jpeg", "size": 237629, "orig_name": "logo.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/d4322/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [], "research_areas": [ { "id": "VR", "drupal_id": 4126, "name": "Virtual Reality", "short_abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "website": "https://www.cg.tuwien.ac.at/research/area/VR", "teaser": { "name": "teaser.jpg", "path": "research_area:VR", "type": "image/jpeg", "size": 191119, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/VR/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend", "vis" ], "publications": [ "adolf-2019-jug", "Alharbi_2021", "antes-2026-maa", "Bayer_Alexander_2021_FTiVR", "Erhardt_2025_Scutes", "gall-2025-marv", "Goellner_2019-ABC", "gramegna-rfr", "hladky-2022-QS", "huber-2025-eed", "huber-2025-esl", "Kan_Peter-2021-MDPI", "kan-2019-dli", "Kathi-2018-VRB", "Kovacs_2020", "Kroesl_2020_11_09", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "medeiros-2023-gwf", "Mirzaei_Mohammadreza_2020-EVR", "Mortezapoor2021ssc", "panfili-2019-VAVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "sorger-2021-egonet", "Sprung_2021", "Vasylevska2020VRB", "Vonach021", "walchhofer_ar_flowmaps", "walchhofer-tso" ], "projects": [ "BimFlexi", "d4322", "d9275", "EU U-CREATE", "EvaluARte", "MARG", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=VR", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/VR-Tennis-Trainer", "__class": "Project", "workgroup": { "id": "vr", "drupal_id": 1358, "name": "Virtual Reality Group", "website": "https://www.cg.tuwien.ac.at/group/Virtual-Reality-Group", "projects": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "research_areas": [], "publications": [ "adolf-2019-jug", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "kan-2019-dli", "Kovacs_2020", "Mirzaei_Mohammadreza_2020-EVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "Sprung_2021", "Vasylevska_Khrystyna-2019-TEFVR" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vr", "__class": "Workgroup" } }, { "id": "d4307", "workgroup_id": "rend", "drupal_id": 4307, "drupal_path": "/research/projects/BIMstocks", "name": "Digital Urban Mining Platform: Assessing the material composition of building stocks through coupling of BIM to GIS", "name_de": "Digitale Urban Mining Plattform: Analyse der materiellen Zusammensetzung von bestehenden Gebäuden durch Kopplung von BIM und GIS", "short_title": "BIMstocks", "website": null, "status": "active", "short_abstract": null, "abstract": "The strong population growth and urbanization are increasing the global resources and energy consumption. The AEC (architecture, engineering and construction) industry is responsible for 60% of the extracted raw materials and generates 40% of the energy-related CO2 emissions. In Austria, the AEC sector is responsible for 70% of total annual waste – facts that are underlining the importance of implementing recycling strategies. The building stock has great potential to serve as raw material reservoir, however currently there is a lack of comprehensive knowledge about the actual building stock, which is the largest obstacle for reusing and recycling of materials and elements.
\nThe main goal of BIMstocks is to develop a method for a consistent digital documentation of the material composition of the existing building stock for modeling the secondary raw materials cadaster and prediction of the recycling potential, by creating a catalogue of BIM-Objects of typically Viennese buildings and follow-up generation of as-built BIM-Models, thus enabling an upscaling to city level. Analyzing and scanning of 10 different use cases, which will represent the variety of typical Viennese buildings, will enable the upscaling to city level. The final aim is to generate a GIS-based Urban Mining Platform, which embeds the obtained information of the use cases and predicts the recycling potential, the material flow and waste mass. Furthermore, a framework will be developed in order to enable the application of urban mining strategies. The framework should describe all individual steps as well as the applied methods.
\nThus, the project represents the continuation of the framework developed in the research project SCI_BIM, which investigated an integrated determination of geometry and material by coupling laser scanning and GPR technology for the semi-automated BIM-Model generation. SCI_BIM demonstrated that GPR technology needs further testing to a) apply it to different building structures and b) build-up a material database, which would significantly increase the efficiency of material determination.
\nThe innovation of the project is the coupling of different technologies, which enable upscaling from component-level to city-level: scanning technology using GPR, application of machine learning for the automated determination of material compositions, and predictive modelling at city-level in the digital urban mining platform. For the first time the uncertainties resulting from the use case samples, the measured values and the extrapolation are estimated. The intended result is to generate a building catalogue for typical Viennese buildings, which enables upscaling on city-level as well as embedding the components and buildings into the GIS-based Urban Mining Platform, based on GPR scans and subsequent machine learning algorithms.
\nThe main use of the obtained results from BIMstocks is the increase of recycling rates by applying urban mining strategies, for which the generated public urban mining platform serves as a basis.
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One of the possible approaches is to use GeoRadar to examine wall structures by analyzing the data obtained from the scans. However, so far, the obtained data have to be assessed manually, relying on the experience of the user in interpreting GPR radargrams. We propose a data-driven approach to evaluate the material composition of a wall from its GPR radargrams. In order to generate training data, we use gprMax to model the scanning process. Using simulation data, we use a convolutional neural network to predict the thicknesses and dielectric properties of walls per layer. 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"leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d4317", "workgroup_id": "vr", "drupal_id": 4317, "drupal_path": "/research/projects/BRIDGES", "name": "A hyBRID (physical-diGital) multi-user Extended reality platform as a stimulus for industry uptake of interactive technologieS", "name_de": null, "short_title": "BRIDGES", "website": null, "status": "active", "short_abstract": "The BRIDGES project aims at “bridging” the gap between interactive technologies and industries by bringing XR to the real world!
\r\nOur mission is moving towards the “democratisation” of XR by delivering a flexible and scalable solution that can be easily integrated and customised to the needs of a variety of different stakeholders.
For more information please refer to:
\r\n\r\nhttps://www.bridges-horizon.eu/
\r\n\r\n\r\n", "abstract": "
The BRIDGES project aims at “bridging” the gap between interactive technologies and industries by bringing XR to the real world!
\r\nOur mission is moving towards the “democratisation” of XR by delivering a flexible and scalable solution that can be easily integrated and customised to the needs of a variety of different stakeholders.
For more information please refer to:
\r\n\r\nhttps://www.bridges-horizon.eu/
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The Collegium will train the next generation of creative, entrepreneurial and innovative experts who will be equipped with the necessary skills and competences to face current and future major challenges in scalable and high-fidelity geometry and material acquisition, extraction of structure and semantic information, processing, visualization, 3D display and 3D fabrication in professional and consumer applications. In the future, the ESRs will lead research and development of new visual and geometric computing methods in the widest variety of applications, ranging from industrial design to humanities, from medical training to urban assessment, and from creative industries to education methodologies. 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"yoo-chaeran-2025-pr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZAU14", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zeilinger_matthias-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka_Matthias-2023-MatLabOptInterface", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka-2024-FTS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Zezulka-2025-NRL", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Zezulka-2026-FGTS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka-2026-GridThermalSim", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "zhang-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:EVOCATION", "type": "image/png", "size": 34154, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/EVOCATION/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "Horizon 2020", "contract_number": "ITN 813170", "comment": null, "funding_organisation": { "id": "Horizon 2020", "drupal_id": 4144, "name": "Horizon 2020 Marie Sklodowska-Curie Actions (MSCA)", "logo": { "name": "logo.png", "type": "image/png", "size": 491649, "orig_name": "logo.png", "path": "FundingOrganisation:Horizon 2020", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/Horizon 2020/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "BioNetIllustration", "contract_number": "747985", "comment": null }, { "id": "EVOCATION", "contract_number": "ITN 813170", "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=Horizon 2020", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Fabrication", "drupal_id": 4132, "name": "Fabrication", "short_abstract": "The advent of consumer-grade 3D printing has recently sparked interest in fabrication-aware shape design and optimization. We use techniques from computer graphics and engineering to develop new computational tools to facilitate the design process of physical artifacts.", "abstract": "The task of finding the perfect shape of a real-world object that fulfills a given objective optimally appears in many disciplines, like interior design, building planning, or construction of machine parts. These tasks can be subject to considerations of functionality, cost-effciency, and aesthetics, as well as constraints relating to size, producibility, safety margins, etc. The great complexity and the presence of conflicting and hard-to-formalize goals have hitherto precluded automation of many design tasks and leave them in the hands of human designers and engineers.\n\nThere is, however, great potential to aid these processes computationally and to unlock difficult design tasks for a larger audience. This will not only provide faster work flows and enable the exploration of new design spaces, but it constitutes a necessary step towards the wide-spread application of personalized fabrication techniques like additive manufacturing. Low-cost 3d printing has been widely described as a disruptive technology and the herald of a new industrial revolution. These expectations have since been tempered by a reality which shows that availability alone is inconsequential unless accompanied by an innovation of supporting technologies.\n\nThe big challenge in making new fabrication techniques more useful is the development of a computational design methodology that relieves its users of low-level tasks like explicit 3d modeling and provides tools to create shapes from functional, aesthetic, and other high-level specifications. The overarching goal of this research area is to find new mathematical models and computational solutions fordesign tasks that are at this time tedious or impossible at all.", "website": "https://www.cg.tuwien.ac.at/research/area/Fabrication", "teaser": { "name": "teaser.png", "path": "research_area:Fabrication", "type": "image/png", "size": 420422, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Fabrication/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "Birsak2018-SA", "gersthofer-2016-sosob", "hafner-2015-eigf", "hafner-2015-onff", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "leimer_2020-cag", "leimer-2018-sar", "musialski_2016_sosp", "musialski-2015-souos", "pahr-2021-vologram", "pahr-2024-squishicalization", "Reichinger-2016-spaghetti", "schindler_2020vis", "schultes_lampi", "Staudacher_2022", "walchhofer-tso", "WINKLER-2019-PDG" ], "projects": [ "EVOCATION", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Fabrication", "__class": "ResearchArea" }, { "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "cardoso-2021-cost", "type_id": "inproceedings", "tu_id": 301688, "repositum_id": null, "title": "Cost Volume Refinement for Depth Prediction", "date": "2021-01-10", "abstract": "Light-field cameras are becoming more popular in\nthe consumer market. Their data redundancy allows, in theory,\nto accurately refocus images after acquisition and to predict the\ndepth of each point visible from the camera. Combined, these\ntwo features allow for the generation of full-focus images, which\nis impossible in traditional cameras.\nMultiple methods for depth prediction from light fields (or\nstereo) have been proposed over the years. A large subset of\nthese methods relies on cost-volume estimates – 3D objects where\neach layer represents a heuristic of whether each point in the\nimage is at a certain distance from the camera. Generally, this\nvolume is used to regress a depth map, which is then refined\nfor better results. In this paper, we argue that refining the cost\nvolumes is superior to refining the depth maps in order to further\nincrease the accuracy of depth predictions. We propose a set of\ncost-volume refinement algorithms and show their effectiveness.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "header", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "cardoso-2021-cost-header.jpg", "type": "image/jpeg", "size": 34129, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1639, 1801, 193 ], "booktitle": "Proceedings of the 25th International Conference on Pattern Recognition", "cfp": { "name": "1.html", "type": "text/html", "error": "0", "size": "51497", "orig_name": "1.html", "ext": "html" }, "date_from": "2021-01-10", "date_to": "2021-01-15", "doi": "10.1109/ICPR48806.2021.9412730", "event": "25th International Conference on Pattern Recognition (ICPR)", "isbn": "978-1-7281-8809-6", "lecturer": [ 1639 ], "location": "Milan, Italy", "open_access": "yes", "pages_from": "354", "pages_to": "361", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "depth reconstruction", "light fields", "cost volumes" ], "weblinks": [], "files": [ { "description": "Acknowledgements section added.", "filetitle": "amended-paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-2021-cost-amended-paper.pdf", "type": "application/pdf", "size": 11789393, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-amended-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-amended-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "header", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "cardoso-2021-cost-header.jpg", "type": "image/jpeg", "size": 34129, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header:thumb{{size}}.png" }, { "description": null, "filetitle": "original-paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cardoso-2021-cost-original-paper.pdf", "type": "application/pdf", "size": 11772629, "path": "Publication:cardoso-2021-cost", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-original-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-original-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/", "__class": "Publication" }, { "id": "cardoso-2022-rtpercept", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/142206", "title": "Training and Predicting Visual Error for Real-Time Applications", "date": "2022-05", "abstract": "Visual error metrics play a fundamental role in the quantification of perceived image similarity. Most recently, use cases for them in real-time applications have emerged, such as content-adaptive shading and shading reuse to increase performance and improve efficiency. A wide range of different metrics has been established, with the most sophisticated being capable of capturing the perceptual characteristics of the human visual system. However, their complexity, computational expense, and reliance on reference images to compare against prevent their generalized use in real-time, restricting such applications to using only the simplest available metrics.\n\nIn this work, we explore the abilities of convolutional neural networks to predict a variety of visual metrics without requiring either reference or rendered images. Specifically, we train and deploy a neural network to estimate the visual error resulting from reusing shading or using reduced shading rates. The resulting models account for 70%--90% of the variance while achieving up to an order of magnitude faster computation times. Our solution combines image-space information that is readily available in most state-of-the-art deferred shading pipelines with reprojection from previous frames to enable an adequate estimate of visual errors, even in previously unseen regions. We describe a suitable convolutional network architecture and considerations for data preparation for training. We demonstrate the capability of our network to predict complex error metrics at interactive rates in a real-time application that implements content-adaptive shading in a deferred pipeline. Depending on the portion of unseen image regions, our approach can achieve up to 2x performance compared to state-of-the-art methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1088, "name": "cardoso-2022-rtpercept-teaser.png", "type": "image/png", "size": 2493649, "path": "Publication:cardoso-2022-rtpercept", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1639, 1650, 868, 1921, 193 ], "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "1227280", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-05-03", "date_to": "2022-05-05", "doi": "10.1145/3522625", "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games", "issn": "2577-6193", "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques", "lecturer": [ 1639 ], "location": "online", "number": "1", "open_access": "yes", "pages": "17", "pages_from": "1", "pages_to": "17", "publisher": "Association for Computing Machinery", "volume": "5", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "perceptual error", "variable rate shading", "real-time" ], "weblinks": [ { "href": "https://jaliborc.github.io/rt-percept/", "caption": "Paper Website", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-2022-rtpercept-paper.pdf", "type": "application/pdf", "size": 54709850, "path": "Publication:cardoso-2022-rtpercept", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1088, "name": "cardoso-2022-rtpercept-teaser.png", "type": "image/png", "size": 2493649, "path": "Publication:cardoso-2022-rtpercept", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/", "__class": "Publication" }, { "id": "cardoso-2024-r-c", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/209907", "title": "Re:Draw - Context Aware Translation as a Controllable Method for Artistic Production", "date": "2024-08", "abstract": "We introduce context-aware translation, a novel method that combines the benefits of inpainting and image-to-image translation, respecting simultaneously the original input and contextual relevance – where existing methods fall short. By doing so, our method opens new avenues for the controllable use of AI within artistic creation, from animation to digital art.\nAs an use case, we apply our method to redraw any hand-drawn animated character eyes based on any design specifications – eyes serve as a focal point that captures viewer attention and conveys a range of emotions; however, the labor-intensive na-\nture of traditional animation often leads to compromises in the complexity and consistency of eye design. Furthermore, we remove the need for production data for training and introduce a new character recognition method that surpasses existing work\nby not requiring fine-tuning to specific productions.\nThis proposed use case could help maintain consistency throughout production and unlock bolder and\nmore detailed design choices without the production cost drawbacks. A user study shows contextaware translation is preferred over existing work 95.16% of the time.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 294, "name": "cardoso-2024-r-c-image.bmp", "type": "image/bmp", "size": 303462, "path": "Publication:cardoso-2024-r-c", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 1639, 5437, 1519, 193 ], "booktitle": "Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)", "date_from": "2024-08-03", "date_to": "2024-08-09", "doi": "10.24963/ijcai.2024/842", "event": "33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)", "isbn": "978-1-956792-04-1", "lecturer": [ 1639 ], "location": "Jeju Island", "pages": "9", "pages_from": "7609", "pages_to": "7617", "publisher": "International Joint Conferences on Artificial Intelligence", "research_areas": [ "Rendering" ], "keywords": [ "Application domains: Images, movies and visual arts", "Application domains: Computer Graphics and Animation", "Methods and resources: AI systems for collaboration and co-creation", "Methods and resources: Machine learning, deep learning, neural models, reinforcement learning", "Theory and philosophy of arts and creativity in AI systems: Social (multi-agent) creativity and human-computer co-creation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 343, "image_height": 294, "name": "cardoso-2024-r-c-image.bmp", "type": "image/bmp", "size": 303462, "path": "Publication:cardoso-2024-r-c", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-2024-r-c-paper.pdf", "type": "application/pdf", "size": 2952059, "path": "Publication:cardoso-2024-r-c", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/", "__class": "Publication" }, { "id": "cardoso-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/209309", "title": "Approaching Under-Explored Image-Space Problems with Optimization", "date": "2024-12-19", "abstract": "This doctoral dissertation delves into three distinct yet interconnected problems in the realm of interactive image-space computing in computer graphics, each of which has not been tackled by existing literature.The first problem centers on the prediction of visual error metrics in real-time applications, specifically in the context of content-adaptive shading and shading reuse. Utilizing convolutional neural networks, this research aims to estimate visual errors without requiring reference or rendered images. The models developed can account for 70%–90% of the variance and achieve computation times that are an order of magnitude faster than existing methods. This enables a balance between resource-saving and visual quality, particularly in deferred shading pipelines, and can achieve up to twice the performance compared to state-of-the-art methods depending on the portion of unseen image regions. The second problem focuses on the burgeoning field of light-field cameras and the challenges associated with depth prediction. This research argues for the refinement of cost volumes rather than depth maps to increase the accuracy of depth predictions. A set of cost-volume refinement algorithms is proposed, which dynamically operate at runtime to find optimal solutions, thereby enhancing the accuracy and reliability of depth estimation in light fields.The third problem tackles the labor-intensive nature of hand-drawn animation, specifically in the detailing of character eyes. An unsupervised network is introduced that blends inpainting and image-to-image translation techniques. This network employs a novel style-aware clustering method and a dual-discriminator optimization strategy with a triple-reconstruction loss. The result is an improvement in the level of detail and artistic consistency in hand-drawn animation, preferred over existing work 95.16% of the time according to a user study.Optimization techniques are the common thread that ties these problems together. While dynamic optimization at runtime is employed for cost volume refinement, deep-learning methods are used offline to train global solutions for the other two problems. This research not only fills gaps in the existing literature but also paves the way for future explorations in the field of computer graphics and optimization, offering new avenues for both academic research and practical applications.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1639 ], "ac_number": "AC17414787", "date_end": "2024-12-19", "date_start": "2019-04", "doi": "10.34726/hss.2025.128664", "matrikelnr": "11937133", "open_access": "yes", "pages": "110", "reviewer_1": [ 1825 ], "reviewer_2": [ 5420 ], "rigorosum": "2024-12-19", "supervisor": [ 193 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "variable-rate shading", "light-fields", "limited animation", "anime", "convolutional neural networks" ], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cardoso-thesis-thesis.pdf", "type": "application/pdf", "size": 47447576, "path": "Publication:cardoso-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/cardoso-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/cardoso-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/", "__class": "Publication" }, { "id": "celarek_adam-2019-qelta", "type_id": "journalpaper", "tu_id": 282852, "repositum_id": null, "title": "Quantifying the Error of Light Transport Algorithms", "date": "2019-07", "abstract": "This paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal-time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two-fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per-pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per-pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Error spectrum ensemble", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "celarek_adam-2019-qelta-image.png", "type": "image/png", "size": 39262, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 1667, 193, 1666 ], "cfp": { "name": "EGSR-2019_Call-for-Papers.pdf", "type": "application/pdf", "error": "0", "size": "174109", "orig_name": "EGSR-2019_Call-for-Papers.pdf", "ext": "pdf" }, "date_from": "2019-07-10", "date_to": "2019-07-12", "doi": "10.1111/cgf.13775", "event": "Eurographics Symposium on Rendering 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1013 ], "number": "4", "open_access": "yes", "pages_from": "111", "pages_to": "121", "publisher": "The Eurographics Association and John Wiley & Sons Ltd.", "volume": "38", "research_areas": [ "Rendering" ], "keywords": [ "measuring error", "light transport", "global illumination" ], "weblinks": [ { "href": "https://github.com/cg-tuwien/Quantifying-the-Error-of-Light-Transport-Algorithms", "caption": "Git repository", "description": "Git repository with the implementation of the error spectrum ensemble and short rendering generator.", "main_file": 1 } ], "files": [ { "description": "Error spectrum ensemble", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 594, "image_height": 372, "name": "celarek_adam-2019-qelta-image.png", "type": "image/png", "size": 39262, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png" }, { "description": "Paper", "filetitle": "paper_preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-paper_preprint.pdf", "type": "application/pdf", "size": 2849560, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint:thumb{{size}}.png" }, { "description": "Slides from the presentation at EGSR", "filetitle": "presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-presentation.pdf", "type": "application/pdf", "size": 3561061, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation:thumb{{size}}.png" }, { "description": "Additional examples, experiments and similar.", "filetitle": "supplemental_material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2019-qelta-supplemental_material.pdf", "type": "application/pdf", "size": 81913248, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material:thumb{{size}}.png" }, { "description": "Teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1826, "image_height": 484, "name": "celarek_adam-2019-qelta-teaser.png", "type": "image/png", "size": 407655, "path": "Publication:celarek_adam-2019-qelta", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION", "OpenData" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/", "__class": "Publication" }, { "id": "celarek-2022-gmcn", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/188182", "title": "Gaussian Mixture Convolution Networks", "date": "2022-04", "abstract": "This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures.\nIn contrast to tensors, these do not suffer from the curse of dimensionality and allow for a compact representation, as data is only stored where details exist.\nConvolution kernels and data are Gaussian mixtures with unconstrained weights, positions, and covariance matrices.\nSimilar to discrete convolutional networks, each convolution step produces several feature channels, represented by independent Gaussian mixtures.\nSince traditional transfer functions like ReLUs do not produce Gaussian mixtures, we propose using a fitting of these functions instead.\nThis fitting step also acts as a pooling layer if the number of Gaussian components is reduced appropriately.\nWe demonstrate that networks based on this architecture reach competitive accuracy on Gaussian mixtures fitted to the MNIST and ModelNet data sets.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1367, "name": "celarek-2022-gmcn-teaser.png", "type": "image/png", "size": 720960, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 1919, 1650, 951, 193 ], "booktitle": "The Tenth International Conference on Learning Representations (ICLR 2022)", "cfp": { "name": "ICLR2022_Call for Papers.pdf", "type": "application/pdf", "error": "0", "size": "32122", "orig_name": "ICLR2022_Call for Papers.pdf", "ext": "pdf" }, "event": "ICLR | 2022", "lecturer": [ 1013 ], "open_access": "yes", "pages_from": "1", "pages_to": "23", "publisher": "OpenReview.org", "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [ { "href": "https://github.com/cg-tuwien/Gaussian-Mixture-Convolution-Networks", "caption": "Code on github", "description": null, "main_file": 1 }, { "href": "https://openreview.net/forum?id=Oxeka7Z7Hor", "caption": "Paper on OpenReview", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "celarek-2022-gmcn-paper.pdf", "type": "application/pdf", "size": 5943864, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1367, "name": "celarek-2022-gmcn-teaser.png", "type": "image/png", "size": 720960, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "EVOCATION", "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/", "__class": "Publication" }, { "id": "FRAISS-2022-CGMM", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/19748", "title": "Construction and Visualization of Gaussian Mixture Models from Point Clouds for 3D Object Representation", "date": "2022-03-10", "abstract": "Point clouds are a common representation of three-dimensional shapes in computer graphics\nand 3D-data processing. However, in some applications, other representations are more useful.\nGaussian Mixture Models (GMMs) can be used as such an alternative representation. A GMM\nis a convex sum of normal distributions, which aims to describe a point cloud’s density. In\nthis thesis, we investigate both visualization and construction of GMMs. For visualization,\nwe have implemented a tool that enables both isoellipsoid and density visualization of GMMs.\nWe describe the mathematical backgrounds, the algorithms, and our implementation of this\ntool. Regarding GMM construction, we investigate several algorithms used in previous papers\nfor constructing GMMs for 3D-data processing tasks. We present our implementations of the\nexpectation-maximization (EM) algorithm and top-down HEM. Additionally, we have adapted\nthe implementation of geometrically regularized bottom-up HEM to produce a fixed number of\nGaussians. We evaluate these three algorithms in terms of the quality of their generated GMMs.\nIn many cases, the statistical likelihood, which is maximized by the EM algorithm, is not a\nreliable indicator for a GMM’s quality. Therefore, we instead rely on the reconstruction error of a\nreconstructed point cloud based on the Chamfer distance. Additionally, we provide metrics for\nmeasuring the reconstructed point cloud’s uniformity and the GMM’s variation of Gaussians. We\ndemonstrate that EM provides the best results in terms of these metrics. Top-down HEM is a fast\nalternative, and can produce even better results when using fewer input points. The results of\ngeometrically regularized bottom-up HEM are inferior for lower numbers of Gaussians but it can\ncreate good GMMs consisting of high numbers of Gaussians very eciently.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1380, "image_height": 1850, "name": "FRAISS-2022-CGMM-image.jpg", "type": "image/jpeg", "size": 376815, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1495 ], "co_supervisor": [ 1013 ], "date_end": "2022-03-10", "date_start": "2021-01-01", "diploma_examina": "2022-03-10", "matrikelnr": "01425602", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1380, "image_height": 1850, "name": "FRAISS-2022-CGMM-image.jpg", "type": "image/jpeg", "size": 376815, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "FRAISS-2022-CGMM-Master thesis.pdf", "type": "application/pdf", "size": 20842982, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "FRAISS-2022-CGMM-poster.pdf", "type": "application/pdf", "size": 4483975, "path": "Publication:FRAISS-2022-CGMM", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/", "__class": "Publication" }, { "id": "hanko-2019-ani", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Higher Hand-Drawn Detail Quality using Convolutional Assistant", "date": "2020-04", "abstract": "The field of research in the use of neural networks to help artists or advance 2D animation\nis very underdeveloped. Most of the little research that is done does not even ask questions\nthat are relevant for animators but is done in a pure research mindset. We, however,\ntried to find a problem that would actually be relevant in the animation industry and\ncame up with the idea of enhancing the feature quality of poorly drawn features in 2D\nanimation. The basis for this idea is that, as a cost and time-saving measure, in 2d\nanimation features are often drawn in different levels of detail depending on the current\nfocus of the scene and other factors. The focus will thereby lie on the enhancement of\ncharacters’ eyes with the idea that other features could be done in a similar way in future\nwork. To achieve this quality enhancing we train the FUNIT network on a\nmanually created dataset consisting of crops of eyes from different characters in different\nquality with the goal that it will be able to consistently transform low-quality eye images\ninto high-quality eye images", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "hanko-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 45990, "path": "Publication:hanko-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1744 ], "date_end": "2020-04", "date_start": "2019-10", "matrikelnr": "01625726", "supervisor": [ 1639, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "hanko-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 45990, "path": "Publication:hanko-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser:thumb{{size}}.png" } }, "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/", "__class": "Publication" }, { "id": "richter-2020-ani", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Detecting Characteristic and Noncharacteristic Images in Hand-Drawn Animation Productions", "date": "2020-01", "abstract": "The student will find frames of an animated show out of a large set of\nautomatically captured frames, that can be considered noise. A few examples of\nthis would be very dark, bright, blurred or obstructed frames. This could help by\nproviding a sanitization method for datasets. \n\nIt may also be possible to find the most distinct frames of a set this way.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1742 ], "date_end": "2020-07", "date_start": "2020-01", "matrikelnr": "1040036", "supervisor": [ 1639, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Workplan as written by the student, with agreed upon milestones with supervisor.", "filetitle": "workplan", "main_file": false, "use_in_gallery": false, "access": "public", "name": "richter-2020-ani-workplan.pdf", "type": "application/pdf", "size": 37297, "path": "Publication:richter-2020-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/richter-2020-ani/richter-2020-ani-workplan.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/richter-2020-ani/richter-2020-ani-workplan:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/richter-2020-ani/", "__class": "Publication" }, { "id": "thurner-2019-ani", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Feature Detection of Drawn Characters for Automatic Dataset Creation", "date": "2020-05", "abstract": "The budget for Japanese animation productions is usually smaller than what western\nstudios assess. Neural networks could help cut costs by automating simple production\nprocesses. However, the training of neural networks usually requires large datasets.\nEspecially for 2D animation, few such sets already exist. Creating such a set by annotating\nall images manually takes a long time. We used an iterative way to create a dataset of\neyes of animated characters with the help of an object detection network. To accomplish\nthat we needed to evaluate different types of eyes and analyze if such a differentiation is\nbeneficial for the detection results.\nIn this thesis, we propose the tool we created that supports such an iterative process.\nBy alternately annotating data and training an object detection network, the network\ncan be used to make suggestions while annotating. This way the user can check if the\nannotations are correct and fix incorrect ones rather than annotate everything by hand.\nWe used the tool to create a dataset containing 5.717 images and 15.523 annotations.\nThese annotations have one of six different classes: left eye, right eye, closed left eye,\nclosed right eye, comedic left eye, and comedic right eye. With the finished set, we\ntrained the object detection network with four different combinations of these classes\nand compared the results. Our findings showed that for our dataset, the differentiation\nbetween normal left and right eyes and the classification of closed and comedic eyes as\nsuch yields the best results. The network reaches a satisfactory detection rate of ∼ 71%\nAverage Precision and ∼ 76% Average Recall. This demonstrates that object detection\nnetworks are a viable method for detecting features of animated characters and, with\nfurther research, could be used for automatic dataset creation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 217, "image_height": 145, "name": "thurner-2019-ani-teaser.png", "type": "image/png", "size": 74414, "path": "Publication:thurner-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/thurner-2019-ani-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/thurner-2019-ani-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1743 ], "date_end": "2020-05", "date_start": "2019-12", "matrikelnr": "01625761", "supervisor": [ 1639, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "bachelor thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "thurner-2019-ani-bachelor thesis.pdf", "type": "application/pdf", "size": 8727388, "path": "Publication:thurner-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/thurner-2019-ani-bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/thurner-2019-ani-bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 217, "image_height": 145, "name": "thurner-2019-ani-teaser.png", "type": "image/png", "size": 74414, "path": "Publication:thurner-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/thurner-2019-ani-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/thurner-2019-ani-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/thurner-2019-ani/", "__class": "Publication" }, { "id": "wieser-2019-ani", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Classification of Production Ready 2D Animation using Contour and Distance Fields", "date": "2019-12", "abstract": "Image classification is one of the most common use cases of Convolutional Neural Networks. In this thesis, our goal is to increase the accuracy of a neural network classifier for frames of production ready 2D animations and to create a model from a dataset with high accuracy for classification. This can be seen as groundwork for future work that applies neural networks on production ready 2D animation data, by reusing and tweaking the model for different applications.\n\nWe compare training a neural network with the color channels of images to training with\ngrayscale images, predicted contours or distance fields generated from those contours.\nFurthermore, different combinations of the data will be used to evaluate the best option.\nThis means that the comparison of the accuracy not only includes color data compared\nto color with contours and distance fields but every combination of the aforementioned\nfour types of input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "wieser-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 14419, "path": "Publication:wieser-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1657 ], "date_end": "2019-12", "date_start": "2019-06", "matrikelnr": "01633066", "supervisor": [ 193, 1639 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 217, "image_height": 145, "name": "wieser-2019-ani-teaser.jpg", "type": "image/jpeg", "size": 14419, "path": "Publication:wieser-2019-ani", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "EVOCATION" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/EVOCATION", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", 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], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "BimFlexi", "workgroup_id": "vr", "drupal_id": 4164, "drupal_path": "/research/projects/BimFlexi", "name": "BIM-based digital Plattform for design and optimisation of flexible facilities for Industry 4.0", "name_de": null, "short_title": "BimFlexi", "website": null, "status": "active", "short_abstract": "
Industrial Building Design is a design process where the successful implementation of each project is based on collaborative decision making of multiple domain specialists - architects, engineers, production system planners and building owners. Traditionally, such multi-collaborator workflows are subject to conflicting stakeholder goals and frequent changes in production processes inevitably resulting in lengthy planning periods. This particular design process needs novel approaches to decision-making support which would combine the ability to communicate design intent with real-time feedback on the impact of design decisions.
\r\nBimFlexi project aims to accelerate BIM design processes for industrial buildings by using parametric modelling, multi-parameter optimization and collaborative VR exploration and modification of models at early stages of building planning.
Industrial Building Design is a design process where the successful implementation of each project is based on collaborative decision making of multiple domain specialists - architects, engineers, production system planners and building owners. Traditionally, such multi-collaborator workflows are subject to conflicting stakeholder goals and frequent changes in production processes inevitably resulting in lengthy planning periods. This particular design process needs novel approaches to decision-making support which would combine the ability to communicate design intent with real-time feedback on the impact of design decisions.
\r\nBimFlexi project aims to accelerate BIM design processes for industrial buildings by using parametric modelling, multi-parameter optimization and collaborative VR exploration and modification of models at early stages of building planning.
In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "website": "https://www.cg.tuwien.ac.at/research/area/VR", "teaser": { "name": "teaser.jpg", "path": "research_area:VR", "type": "image/jpeg", "size": 191119, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/VR/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend", "vis" ], "publications": [ "adolf-2019-jug", "Alharbi_2021", "antes-2026-maa", "Bayer_Alexander_2021_FTiVR", "Erhardt_2025_Scutes", "gall-2025-marv", "Goellner_2019-ABC", "gramegna-rfr", "hladky-2022-QS", "huber-2025-eed", "huber-2025-esl", "Kan_Peter-2021-MDPI", "kan-2019-dli", "Kathi-2018-VRB", "Kovacs_2020", "Kroesl_2020_11_09", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "medeiros-2023-gwf", "Mirzaei_Mohammadreza_2020-EVR", "Mortezapoor2021ssc", "panfili-2019-VAVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "sorger-2021-egonet", "Sprung_2021", "Vasylevska2020VRB", "Vonach021", "walchhofer_ar_flowmaps", "walchhofer-tso" ], "projects": [ "BimFlexi", "d4322", "d9275", "EU U-CREATE", "EvaluARte", "MARG", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=VR", "__class": "ResearchArea" } ], "publications": [ { "id": "podkosova_2022_bimflexi-vr", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "BIMFlexi-VR: A Virtual Reality Framework for Early-Stage Collaboration in Flexible Industrial Building Design ", "date": "2022-02-25", "abstract": "Integrated industrial building design is an interdisciplinary task, in which planning of flexible building structures requires effective communication and collaboration between all stakeholders already in early design stage. This paper presents BIMFlexi-VR, a collaborative framework which implements a real-time bidirectional link between a parametric modelling component created in Grasshopper for Rhinoceros that performs optimized structural calculations of an industrial building, and an immersive Virtual Reality environment in which the automatically calculated building is visualized. Users of BIMFlexi-VR are able to change parameters defining the outcome of the structural calculation directly inside the virtual environment and see the modified building design together with the associated fitness metrics in a matter of seconds. Providing an efficient and intuitive platform for early exploration of industrial building designs, BIMFlexi-VR enables collaborative decision making and facilitates the creation of more efficient and sustainable industrial constructions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 365, "image_height": 329, "name": "podkosova_2022_bimflexi-vr-.JPG", "type": "image/jpeg", "size": 32979, "path": "Publication:podkosova_2022_bimflexi-vr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1945, 1874, 378, 1799 ], "doi": "10.3389/frvir.2022.782169", "first_published": "2022-02", "issn": "2673-4192", "journal": "Frontiers in Virtual Reality", "open_access": "yes", "pages_from": "1", "pages_to": "13", "volume": "3", "research_areas": [ "VR" ], "keywords": [ "Virtual Reality in Industry 4.0", "Collaborative BIM", "VR in AEC" ], "weblinks": [ { "href": "https://www.frontiersin.org/article/10.3389/frvir.2022.782169", "caption": "BimFlexi-VR", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 365, "image_height": 329, "name": "podkosova_2022_bimflexi-vr-.JPG", "type": "image/jpeg", "size": 32979, "path": "Publication:podkosova_2022_bimflexi-vr", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-:thumb{{size}}.png" } ], "projects_workgroups": [ "BimFlexi" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/", "__class": "Publication" }, { "id": "Reisinger_Julia-2021-parametricscript", "type_id": "inproceedings", "tu_id": 296846, "repositum_id": "20.500.12708/62967", "title": "Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design", "date": "2021", "abstract": "To increase the flexibility and expandability of production plants the focus needs to be on a coherent planning of the production layout and building systems. The frequent reconfiguration of production layouts bears challenges on the load-bearing structure of industrial buildings, decreasing the building service life due to rescheduling or demolition. Currently there is no method established to integrate production layout planning into structural building design processes. In this paper, a novel parametric generative design method for automated production layout generation and optimisation (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study methodology are combined to develop a novel concept of integrated production cubes (IPC). The IPC concept is translated into a parametric PLGO framework, which is tested on a pilot-project of a food-and hygiene production facility and the defined objectives and constraints are validated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Production layout", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 226, "name": "Reisinger_Julia-2021-parametricscript-Production layout.jpg", "type": "image/jpeg", "size": 61797, "path": "Publication:Reisinger_Julia-2021-parametricscript", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1874, 1875, 1799, 1720, 1876 ], "booktitle": "EG-ICE 2021 Workshop on Intelligent Computing in Engineering", "date_from": "2021-06-30", "date_to": "2021-07-02", "doi": "10.14279/depositonce-12021", "event": "28th EG-ICE International Workshop on Intelligent Computing in Engineering 2021", "isbn": "978-3-7983-3212-6", "location": "Berlin, Deutschland", "pages": "12", "pages_from": "22", "pages_to": "33", "publisher": "Universitätsverlag der TU Berlin", "research_areas": [], "keywords": [ "Parametric modelling", "multi-objective optimisation", "production layout planning", "automated layout generation", "generative design", "integrated industrial building design" ], "weblinks": [ { "href": "https://publik.tuwien.ac.at/files/publik_296846.pdf", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Production layout", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 286, "image_height": 226, "name": "Reisinger_Julia-2021-parametricscript-Production layout.jpg", "type": "image/jpeg", "size": 61797, "path": "Publication:Reisinger_Julia-2021-parametricscript", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout:thumb{{size}}.png" } ], "projects_workgroups": [ "BimFlexi" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/", "__class": "Publication" }, { "id": "Reisinger-2021-JOBE", "type_id": "journalpaper_notalk", "tu_id": 298813, "repositum_id": "20.500.12708/138206", "title": "Integrated multi-objective evolutionary optimization of production layout scenarios for parametric structural design of flexible industrial buildings", "date": "2021", "abstract": "Due to product individualization, customization and rapid technological advances in manufacturing, production systems are faced with frequent reconfiguration and expansion. Industrial buildings that allow changing production scenarios require flexible load-bearing structures and a coherent planning of the production layout and building systems. Yet, current production planning and structural building design are mostly sequential and the data and models lack interoperability. In this paper, a novel parametric evolutionary design method for automated production layout generation and optimization (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study are combined to develop a novel concept of integrated production cubes and the design space for PLGO as basis for a parametric production layout design method. The integrated production cubes concept is then translated into a parametric PLGO framework, which is tested on a pilot-project of a hygiene production facility to evaluate the framework and validate the defined constraints and objectives. Results suggest that our framework can produce feasible production layout scenarios which respect flexibility and building requirements. In future research the design process will be extended by the development of a multi-objective evolutionary optimization process for industrial buildings to provide flexible building solutions that can accommodate a selection of several prioritized production layouts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "IPC", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 616, "image_height": 523, "name": "Reisinger-2021-JOBE-IPC.jpg", "type": "image/jpeg", "size": 146214, "path": "Publication:Reisinger-2021-JOBE", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC:thumb{{size}}.png" }, "sync_repositum_override": "projects", "repositum_presentation_id": null, "authors": [ 1874, 1875, 1799, 1720, 1876, 378 ], "doi": "10.1016/j.jobe.2021.103766", "issn": "2352-7102", "journal": "Journal of Building Engineering", "number": "103766", "pages_from": "1", "pages_to": "18", "volume": "46", "research_areas": [], "keywords": [ "Parametric modelling", "Multi-objective optimization", "Layout planning", "Automated production layout generation", "Evolutionary algorithm", "Integrated industrial building design" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S2352710221016247?via%3Dihub", "caption": "Paper link", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "IPC", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 616, "image_height": 523, "name": "Reisinger-2021-JOBE-IPC.jpg", "type": "image/jpeg", "size": 146214, "path": "Publication:Reisinger-2021-JOBE", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC:thumb{{size}}.png" } ], "projects_workgroups": [ "BimFlexi" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/BimFlexi", "__class": "Project", "workgroup": { "id": "vr", "drupal_id": 1358, "name": "Virtual Reality Group", "website": "https://www.cg.tuwien.ac.at/group/Virtual-Reality-Group", "projects": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "research_areas": [], "publications": [ "adolf-2019-jug", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "kan-2019-dli", "Kovacs_2020", "Mirzaei_Mohammadreza_2020-EVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "Sprung_2021", "Vasylevska_Khrystyna-2019-TEFVR" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vr", "__class": "Workgroup" } }, { "id": "d4400", "workgroup_id": "vr", "drupal_id": 4400, "drupal_path": "/research/projects/DENOISING", "name": "Denoising for Real-Time Ray Tracing", "name_de": null, "short_title": "DENOISING", "website": null, "status": "active", "short_abstract": null, "abstract": "The project aims at leveraging specific image generation processes to improve quality and speed of denoise algorithms on mobile platform.
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null, "funding_organisations": [], "research_areas": [], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/Zoll4D", "__class": "Project", "workgroup": { "id": "vr", "drupal_id": 1358, "name": "Virtual Reality Group", "website": "https://www.cg.tuwien.ac.at/group/Virtual-Reality-Group", "projects": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "research_areas": [], "publications": [ "adolf-2019-jug", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "kan-2019-dli", "Kovacs_2020", "Mirzaei_Mohammadreza_2020-EVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "Sprung_2021", "Vasylevska_Khrystyna-2019-TEFVR" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vr", "__class": "Workgroup" } }, { "id": "3DSpatialization", "workgroup_id": "rend", "drupal_id": 4156, "drupal_path": "/research/projects/3DSpatialization", "name": "Smart Communities and Technologies: 3D Spatialization", "name_de": null, "short_title": "3DSpatialization", "website": "https://smartct.tuwien.ac.at/", "status": "active", "short_abstract": "The Research Cluster \"Smart Communities and Technologies\" (Smart CT) at TU Wien will provide the scientific underpinnings for next-generation complex smart city and communities infrastructures. Cities are ever-evolving, complex cyber physical systems of systems covering a magnitude of different areas. The initial concept of smart cities and communities started with cities utilizing communication technologies to deliver services to their citizens and evolved to using information technology to be smarter and more efficient about the utilization of their resources. In recent years however, information technology has changed significantly, and with it the resources and areas addressable by a smart city have broadened considerably. They now cover areas like smart buildings, smart products and production, smart traffic systems and roads, autonomous driving, smart grids for managing energy hubs and electric car utilization or urban environmental systems research.
\r\n\r\n3D spatialization creates the link between the internet of cities infrastructure and the actual 3D world in which a city is embedded in order to perform advanced computation and visualization tasks. Sensors, actuators and users are embedded in a complex 3D environment that is constantly changing. Acquiring, modeling and visualizing this dynamic 3D environment are the challenges we need to face using methods from Visual Computing and Computer Graphics. 3D Spatialization aims to make a city aware of its 3D environment, allowing it to perform spatial reasoning to solve problems like visibility, accessibility, lighting, and energy efficiency.
\r\n", "abstract": "The Research Cluster \"Smart Communities and Technologies\" (Smart CT) at TU Wien will provide the scientific underpinnings for next-generation complex smart city and communities infrastructures. Cities are ever-evolving, complex cyber physical systems of systems covering a magnitude of different areas. The initial concept of smart cities and communities started with cities utilizing communication technologies to deliver services to their citizens and evolved to using information technology to be smarter and more efficient about the utilization of their resources. In recent years however, information technology has changed significantly, and with it the resources and areas addressable by a smart city have broadened considerably. They now cover areas like smart buildings, smart products and production, smart traffic systems and roads, autonomous driving, smart grids for managing energy hubs and electric car utilization or urban environmental systems research.
\r\n\r\n3D spatialization creates the link between the internet of cities infrastructure and the actual 3D world in which a city is embedded in order to perform advanced computation and visualization tasks. Sensors, actuators and users are embedded in a complex 3D environment that is constantly changing. Acquiring, modeling and visualizing this dynamic 3D environment are the challenges we need to face using methods from Visual Computing and Computer Graphics. 3D Spatialization aims to make a city aware of its 3D environment, allowing it to perform spatial reasoning to solve problems like visibility, accessibility, lighting, and energy efficiency.
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"ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", 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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. ", "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", 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"zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "Arleo-2019-vis", "type_id": "inproceedings", "tu_id": 280935, "repositum_id": null, "title": "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge", "date": "2019-10", "abstract": "Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available, but it is scattered across heterogeneous sources (newspapers, open data, etc.), which makes it difficult for financial analysts to understand the big picture. In this paper, we present Sabrina, a financial data analysis and visualization approach that incorporates a pipeline for the generation of firm-to-firm financial transaction networks. The pipeline is capable of fusing the ground truth on individual firms in a region with (incremental) domain knowledge on general macroscopic aspects of the economy. Sabrina unites these heterogeneous data sources within a uniform visual interface that enables the visual analysis process. In a user study with three domain experts, we illustrate the usefulness of Sabrina, which eases their analysis process.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The different visualizations composing the Sabrina system", "filetitle": "sab_tease_nolabels", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4770, "image_height": 2496, "name": "Arleo-2019-vis-sab_tease_nolabels.png", "type": "image/png", "size": 3157916, "path": "Publication:Arleo-2019-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1705, 1706, 1558, 1707, 1708, 1598, 1709, 966, 193, 1072 ], "booktitle": "IEEE VIS 2019", "cfp": { "name": "VIS 2019-Short Papers Call for Participation.pdf", "type": "application/pdf", "error": "0", "size": "450180", "orig_name": "VIS 2019-Short Papers Call for Participation.pdf", "ext": "pdf" }, "event": " IEEE Visualization Conference (VIS)", "lecturer": [ 1705 ], "location": "Vancouver, British Columbia, Canada", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [ "Visualization", "Visual Analytics" ], "weblinks": [ { "href": "https://arxiv.org/abs/1908.07479", "caption": "paper", "description": null, "main_file": 0 } ], "files": [ { "description": "The different visualizations composing the Sabrina system", "filetitle": "sab_tease_nolabels", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4770, "image_height": 2496, "name": "Arleo-2019-vis-sab_tease_nolabels.png", "type": "image/png", "size": 3157916, "path": "Publication:Arleo-2019-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/", "__class": "Publication" }, { "id": "celarek-2022-gmcn", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/188182", "title": "Gaussian Mixture Convolution Networks", "date": "2022-04", "abstract": "This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures.\nIn contrast to tensors, these do not suffer from the curse of dimensionality and allow for a compact representation, as data is only stored where details exist.\nConvolution kernels and data are Gaussian mixtures with unconstrained weights, positions, and covariance matrices.\nSimilar to discrete convolutional networks, each convolution step produces several feature channels, represented by independent Gaussian mixtures.\nSince traditional transfer functions like ReLUs do not produce Gaussian mixtures, we propose using a fitting of these functions instead.\nThis fitting step also acts as a pooling layer if the number of Gaussian components is reduced appropriately.\nWe demonstrate that networks based on this architecture reach competitive accuracy on Gaussian mixtures fitted to the MNIST and ModelNet data sets.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1500, "image_height": 1367, "name": "celarek-2022-gmcn-teaser.png", "type": "image/png", "size": 720960, "path": "Publication:celarek-2022-gmcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013, 1919, 1650, 951, 193 ], "booktitle": "The Tenth International Conference on Learning Representations (ICLR 2022)", "cfp": { "name": "ICLR2022_Call for Papers.pdf", "type": "application/pdf", "error": "0", "size": "32122", "orig_name": "ICLR2022_Call for Papers.pdf", "ext": "pdf" }, "event": "ICLR | 2022", "lecturer": [ 1013 ], "open_access": "yes", "pages_from": "1", "pages_to": "23", "publisher": "OpenReview.org", "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [ { "href": "https://github.com/cg-tuwien/Gaussian-Mixture-Convolution-Networks", "caption": "Code on github", "description": null, 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"https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend", "EVOCATION", "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/", "__class": "Publication" }, { "id": "gamsjaeger-2022-proc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Modeling utilizing Parser Generators", "date": "2022-04", "abstract": "Modeling and simulating of buildings, cities, and metropolis is of huge interest in today’s industries. It allows observing realistic representations in a three-dimensional virtual space as it is used in games and simulations of specific situations. One way to achieve this is procedural modeling, a method that only needs little input to generate complex scenes and structures. In combination with so-called parser generators, an efficient and less time-consuming approach is achieved. The resulting application then gives the user a simple and fast way to generate, model, and design highly complex structures. In this thesis, we first will go into detail about today’s standards and the possibilities which are available at the moment. Then resume with an illustration of two widely used parser generators called ANTLR and Bison and how we replaced the first with the second. Leaving us with a comparison, of their advantages and disadvantages and demonstrating the resulting outcome.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1193, "image_height": 1045, "name": "gamsjaeger-2022-proc-teaser.png", "type": "image/png", "size": 551042, "path": "Publication:gamsjaeger-2022-proc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1924 ], "date_end": "2022-04-10", "date_start": "2020-01-01", "matrikelnr": "01631843", "supervisor": [ 193, 1650 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "parsing", "procedural geometry", "architecture" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1193, "image_height": 1045, "name": "gamsjaeger-2022-proc-teaser.png", "type": "image/png", "size": 551042, "path": "Publication:gamsjaeger-2022-proc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gamsjaeger-2022-proc-thesis.pdf", "type": "application/pdf", "size": 8889729, "path": "Publication:gamsjaeger-2022-proc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/", "__class": "Publication" }, { "id": "HANN_2022_IPT", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Incremental Updates of Path-Traced Scenes during Editing", "date": "2022-04", "abstract": "In this work I present a novel adaptive sampling algorithm for 3D editing software, developed by me and my colleagues. The algorithm is based on the idea of using knowledge about how a given user interaction affects a scene visually. We split the\nimage into regions and order them, according to that knowledge, from most noticeably affected to least. The rendering budget can then be focused on the more affected regions earlier and on the lesser ones later in an incremental rendering process. Although this concept could probably work with other rendering methods, we designed it to be able to use path-tracing as the viewport renderer in 3D editing software without the typical grain-like noise and waiting times for sufficiently smooth rendered images this technology usually comes with. The goal of this work is to offer users of 3D editing software an as uninterrupted workflow as possible while still being able to see their work in high quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1679, "image_height": 947, "name": "HANN_2022_IPT-teaser.png", "type": "image/png", "size": 1562959, "path": "Publication:HANN_2022_IPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1922 ], "date_end": "2022", "date_start": "2021", "matrikelnr": "01633018", "supervisor": [ 193, 1650 ], "research_areas": [ "Rendering" ], "keywords": [ "incremental rendering", "path tracing", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1679, "image_height": 947, "name": "HANN_2022_IPT-teaser.png", "type": "image/png", "size": 1562959, "path": "Publication:HANN_2022_IPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HANN_2022_IPT-thesis.pdf", "type": "application/pdf", "size": 31315114, "path": "Publication:HANN_2022_IPT", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/", "__class": "Publication" }, { "id": "horvath_imp", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Improved Triangle Encoding for Cached Adaptive Tessellation", "date": "2022-02", "abstract": "Changing the vertex count of a given geometry through hardware tessellation on the GPU is limited by today’s standards. The capped edge splits (64 splits per edge) as well as increasingly worse performance with deeper levels certainly leaves room for improvement. So in the meantime, software-based solutions using GPU shaders provide much more flexibility as well as features. One possible solution, which we will be focusing on, was presented by Jad Khoury [KDR18] in 2018 which implements a tessellation cache on the GPU. This enables the tessellation step to not only reuse the data of the previous frame but also makes it adaptive by only having to calculate the changes since the last frame. The adaptive cache improves tessellation performance at the cost of memory on the GPU but their particular implementation still slows down on deeper tessellation levels because of the recursive nature of their algorithm. Our work replaces their recursive algorithm with a constant-time solution by exploiting the grid structure of their tessellated geometry.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2447, "image_height": 1295, "name": "horvath_imp-teaser.png", "type": "image/png", "size": 2192194, "path": "Publication:horvath_imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1772 ], "date_end": "2022-02-07", "date_start": "2020-01-01", "matrikelnr": "01525536", "supervisor": [ 193, 1650 ], "research_areas": [ "Rendering" ], "keywords": [ "tessellation", "gpu" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2447, "image_height": 1295, "name": "horvath_imp-teaser.png", "type": "image/png", "size": 2192194, "path": "Publication:horvath_imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "horvath_imp-thesis.pdf", "type": "application/pdf", "size": 7663547, "path": "Publication:horvath_imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/", "__class": "Publication" }, { "id": "kenzel_michael_2021_cuda", "type_id": "otherreviewed", "tu_id": 301615, "repositum_id": "20.500.12708/55659", "title": "CUDA and Applications to Task-based Programming", "date": "2021-05", "abstract": "To provide a profound understanding of how CUDA applications can achieve peak performance, the first two parts of this tutorial outline the modern CUDA architecture. Following a basic introduction, we expose how language features are linked to---and constrained by---the underlying physical hardware components. Furthermore, we describe common applications for massively parallel programming, offer a detailed breakdown of potential issues, and list ways to mitigate performance impacts. An exemplary analysis of PTX and SASS snippets illustrates how code patterns in CUDA are mapped to actual hardware instructions.\n\nIn parts 3 and 4, we focus on novel features that were enabled by the arrival of CUDA 10+ toolkits and the Volta+ architectures, such as ITS, tensor cores, and the graph API. In addition to basic use case demonstrations, we outline our own experiences with these capabilities and their potential performance benefits. We also discuss how long-standing best practices are affected by these changes and describe common caveats for dealing with legacy code on recent GPU models. 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Our approach to terrain and ocean mesh generation relies on a projected, persistent grid that can instantaneously and smoothly adapt to fast-changing viewpoints. For generating planetary ocean surfaces, we present a wave function that creates seamless, evenly spaced waves across the entire planet without causing unsightly artifacts. We further show how to render volumetric clouds in combination with precomputed atmospheric scattering and account for their contribution to light transport above ground. Our method provides mathematically consistent approximations of cloud-atmosphere interactions and works for any view point and direction, ensuring continuous transitions in appearance as the viewer moves from ground to space. Among others, our approach supports cloud shadows, light shafts, ocean reflections, and earth shadows on the clouds. 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Future trends in game development will rely on mesh shading and “meshlets”, using highly detailed meshes with deep level of detail hierarchies. Particularly powerful applications of meshlets include arbtirary culling and subdivision methods. Furthermore, advanced pre-computation include visibility and lighting information that can be stored on a per-meshlet basis, thus promoting the compression of attributes through quantization and the acceleration of computations via hierarchical processing.\n\nAlthough meshlets can be comprised from arbitrary assemblages of primitives, their benefits are highest when meshlet formation is done in a way that already takes the usecase into account. Individual formation procedures can be defined in order to achieve specific goals. As an example, we may generate meshlets that are optimized for global illumination techniques, by minimizing their curvature and variance in material coefficients. Incoming light can then be ray-traced and cached per meshlet, along with view-dependent variance encoded in a discretized data structure. More uniform meshlets thus require less data transferred for accurately approximating their global illumination, reducing the consumption of critical memory bandwidth. We may also partition entire scenes into meshlets that foster fast visibility culling for large groups of primitives, without transforming even a single vertex. In fact, meshlet formation policies can leverage arbitrary attributes, such as the distribution of UV coordinates, ambient occlusion or mesh topology in order to optimize them according to desired runtime criteria. Cloud gaming offers a unique opportunity for leveraging this technology at a larger scale: dedicated data storages and servers can maintain multiple copies of complex triangle meshes, each partitioned by a particular meshlet formation policy. A live monitor can react to a specific bottleneck by dynamically switching meshlets to best accommodate the current GPU resource requirements. 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Following a basic introduction, we expose how language features are linked to---and constrained by---the underlying physical hardware components. Furthermore, we describe common applications for massively parallel programming, offer a detailed breakdown of potential issues, and list ways to mitigate performance impacts. An exemplary analysis of PTX and SASS snippets illustrates how code patterns in CUDA are mapped to actual hardware instructions.\n\nIn parts 3 and 4, we focus on novel features that were enabled by the arrival of CUDA 10+ toolkits and the Volta+ architectures, such as ITS, tensor cores, and the graph API. In addition to basic use case demonstrations, we outline our own experiences with these capabilities and their potential performance benefits. We also discuss how long-standing best practices are affected by these changes and describe common caveats for dealing with legacy code on recent GPU models. We show how these considerations can be implemented in practice by presenting state-of-the-art research into task-based GPU scheduling, and how the dynamic adjustment of thread roles and group configurations can significantly increase performance.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1800, "image_height": 1151, "name": "kerbl-2022-cuda-teaser.png", "type": "image/png", "size": 718260, "path": "Publication:kerbl-2022-cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1650, 1661, 1834, 1662 ], "booktitle": "Eurographics 2022 - Tutorials", "editor": "Stefanie Hahmann and Gustavo Patow", "location": "Reims", "publisher": "The Eurographics Association", "research_areas": [], "keywords": [ "Parallel Programming", "GPU" ], "weblinks": [ { "href": "https://cuda-tutorial.github.io/index.html", "caption": "Tutorial Homepage", "description": "Course notes and code samples for the tutorial", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2022-cuda-paper.pdf", "type": "application/pdf", "size": 798232, "path": "Publication:kerbl-2022-cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1800, "image_height": 1151, "name": "kerbl-2022-cuda-teaser.png", "type": "image/png", "size": 718260, "path": "Publication:kerbl-2022-cuda", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/", "__class": "Publication" }, { "id": "kerbl-2022-trienc", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/139870", "title": "An Improved Triangle Encoding Scheme for Cached Tessellation", "date": "2022-04", "abstract": "With the recent advances in real-time rendering that were achieved by embracing software rasterization, the interest in alternative solutions for other fixed-function pipeline stages rises. In this paper, we revisit a recently presented software approach for cached tessellation, which compactly encodes and stores triangles in GPU memory. While the proposed technique is both efficient and versatile, we show that the original encoding is suboptimal and provide an alternative scheme that acts as a drop-in replacement. As shown in our evaluation, the proposed modifications can yield performance gains of 40\\% and more.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1307, "image_height": 853, "name": "kerbl-2022-trienc-teaser.png", "type": "image/png", "size": 43599, "path": "Publication:kerbl-2022-trienc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date,event,pages,pages_from,pages_to,publisher,keywords", "repositum_presentation_id": null, "authors": [ 1650, 1772, 877, 193 ], "booktitle": "Eurographics 2022 - Short Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "718298", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2022-04-25", "date_to": "2022-04-29", "doi": "10.2312/egs.20221031", "editor": "Pelechano, Nuria and Vanderhaeghe, David", "event": "Eurographics 2022", "first_published": "2022", "isbn": "978-3-03868-169-4", "issn": "1017-4656", "lecturer": [ 1650 ], "location": "Reims", "open_access": "yes", "pages_from": "1", "pages_to": "4", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "gpu", "real-time", "tessellation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kerbl-2022-trienc-paper.pdf", "type": "application/pdf", "size": 2336032, "path": "Publication:kerbl-2022-trienc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1307, "image_height": 853, "name": "kerbl-2022-trienc-teaser.png", "type": "image/png", "size": 43599, "path": "Publication:kerbl-2022-trienc", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/", "__class": "Publication" }, { "id": "kristmann-2022-occ", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Occluder Frequency Analysis for Evaluating the Level of Visibility of Partly Occluded Objects", "date": "2022-07", "abstract": "To increase rendering efficiency of large and complex scenes, occlusion culling algorithms detect objects which are completely hidden by others and therefore do not need to be rendered. However, these methods often follow an all-or-nothing principle, either culling the geometry entirely or drawing it at full detail. This approach disregards an important subcategory of the visibility problem: detecting objects that are hardly visible because they are partly occluded and which can therefore be rendered at a lower level of detail without generating noticeable artifacts. In this thesis we assess the level of visibility of such objects by computing a hierarchical occlusion map and analysing its structure based on the frequencies of the occluders. This analysis results in a parameter that controls the level of detail (LOD) in which the geometry is rendered. The algorithm performs well even in scenes with sparse occlusion, surpassing the standard hierarchical occlusion map algorithm, with still a lot of potential for even further improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1368, "image_height": 1280, "name": "kristmann-2022-occ-teaser.png", "type": "image/png", "size": 252502, "path": "Publication:kristmann-2022-occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1935 ], "date_end": "2022-07-15", "date_start": "2022-01-01", "matrikelnr": "01518693", "supervisor": [ 193, 1650 ], "research_areas": [ "Perception", "Rendering" ], "keywords": [ "rendering", "occlusion culling", "real-time" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1368, "image_height": 1280, "name": "kristmann-2022-occ-teaser.png", "type": "image/png", "size": 252502, "path": "Publication:kristmann-2022-occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kristmann-2022-occ-thesis.pdf", "type": "application/pdf", "size": 4728973, "path": "Publication:kristmann-2022-occ", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/", "__class": "Publication" }, { "id": "murturi_PGG", "type_id": "inproceedings", "tu_id": 298543, "repositum_id": "20.500.12708/58547", "title": "On Provisioning Procedural Geometry Workloads on Edge Architectures", "date": "2021-10", "abstract": "Contemporary applications such as those within Augmented or Virtual Reality (AR/VR) pose challenges for software architectures supporting them, which have to adhere to stringent latency, data transmission, and performance requirements. This manifests in processing 3D models, whose 3D contents are increasingly generated procedurally rather than explicitly, resulting in computational workloads (i.e., perceived as Procedural Geometry Workloads) with particular characteristics and resource requirements. Traditionally, executing such workloads takes place in resource-rich environments such as the cloud. However, the massive amount of data transfer, heterogeneous devices, and networks involved affect latency, which in turn causes low-quality visualization in user-facing applications (e.g., AR/VR). To overcome such challenges, processing elements available close to end users can be leveraged to generate 3D models instead, and as such the edge emerges as a central architectural entity. This paper describes such procedural geometry workloads, their particular characteristics, and challenges to execute them on heterogeneous devices. Furthermore, we propose an architecture capable of provisioning procedural geometry workloads in edge scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2189, "image_height": 1487, "name": "murturi_PGG-teaser2.png", "type": "image/png", "size": 360252, "path": "Publication:murturi_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1708, 1558, 1650, 193, 1709, 1706 ], "booktitle": "Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "2105613", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-26", "date_to": "2021-10-28", "doi": "10.5220/0010687800003058", "editor": " Francisco Domínguez Mayo, Massimo Marchiori and Joaquim Filipe", "event": "17th International Conference on Web Information Systems and Technologies - WEBIST", "isbn": "978-989-758-536-4", "lecturer": [ 1708 ], "organization": "INSTICC", "pages": "6", "pages_from": "354", "pages_to": "359", "publisher": "SciTePress", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "distributed systems", "procedural geometry", "rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "murturi_PGG-paper.pdf", "type": "application/pdf", "size": 3799321, "path": "Publication:murturi_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2189, "image_height": 1487, "name": "murturi_PGG-teaser2.png", "type": "image/png", "size": 360252, "path": "Publication:murturi_PGG", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/", "__class": "Publication" }, { "id": "pernsteinre_jakob_2020_eechc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Ensuring the Effectiveness of CHC++ in Vulkan", "date": "2020-10", "abstract": "Real-time occlusion culling is a valuable tool to increase the performance of real-time rendering applications by detecting and removing invisible geometry from the rendering pipeline. Through new rendering Application Programming Interface (API) like Vulkan and modern hardware, these culling algorithms can become even more powerful. This thesis tries to ensure and evaluate the performance of Coherent Hierarchical Culling Revisited (CHC++) in this new environment by performing various optimisations to the algorithm. The changes include the batching of consecutive draw-calls and occlusion queries into single GPU-queue submits to reduce the overhead on the CPU and GPU. Additionally, the support for alpha blended transparent objects was added to the algorithm, which allows for correct culling and rendering of these objects. The algorithm performs great in environments with high occlusion and does not degrade in performance in the worst case scenario. But the high performance increase of the original implementation could not be replicated, which is attributed to the difference in rendering APIs and hardware improvements.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1912, "image_height": 1009, "name": "pernsteinre_jakob_2020_eechc-teaser.jpg", "type": "image/jpeg", "size": 348241, "path": "Publication:pernsteinre_jakob_2020_eechc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1795 ], "date_end": "2020-10", "date_start": "2019-10", "matrikelnr": "01627767", "supervisor": [ 193, 1650 ], "research_areas": [ "Rendering" ], "keywords": [ "culling", "real-time", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1912, "image_height": 1009, "name": "pernsteinre_jakob_2020_eechc-teaser.jpg", "type": "image/jpeg", "size": 348241, "path": "Publication:pernsteinre_jakob_2020_eechc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pernsteinre_jakob_2020_eechc-Thesis.pdf", "type": "application/pdf", "size": 2552714, "path": "Publication:pernsteinre_jakob_2020_eechc", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/", "__class": "Publication" }, { "id": "roth_2021_vdst", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "View-Dependent Surrogate Terminals for Procedural Geometry Generation", "date": "2021-07", "abstract": "Procedural geometry generation plays an ever-increasing role in the movie- and video\ngaming industry. Shape grammars have established themselves as the preferred solution\nfor procedural architecture generation. Research in past decades drastically improved the\nspeed of geometry derivation through shape grammars, making it possible to generate\n3D buildings on-demand and in real-time. However, the constantly rising demand for\nhigh-quality visualizations requires new measures to reduce complexity in 3D models\ngenerated by shape grammars without sacrificing visual quality. This thesis explores\nthe feasibility and benefits of inserting view-dependent surrogate terminals into a shape\ngrammar. Surrogate terminals end grammar derivation early and approximate finer\ndetails with pre-rendered images. We find a possible solution for implementing view-dependent\nsurrogate terminals and describe a scheme to automatically insert them into a\nshape grammar. Results show that contrary to previous approaches, our method avoids\nthe generation of visibly incomplete geometry. However, even though the modified shape\ngrammars evaluate faster than the original in large scenes, previous methods provide a\nmore significant performance gain. We conclude that view-dependent surrogate terminals\nprovide promising results, but further optimization is necessary to match the performance\nof prior techniques.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_2021_vdst-teaser.png", "type": "image/png", "size": 6785839, "path": "Publication:roth_2021_vdst", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1847 ], "date_end": "2021-07", "date_start": "2020-08", "matrikelnr": "01633060", "supervisor": [ 1558 ], "research_areas": [ "Rendering" ], "keywords": [ "procedural geometry", "real-time", "rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_2021_vdst-teaser.png", "type": "image/png", "size": 6785839, "path": "Publication:roth_2021_vdst", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "roth_2021_vdst-Thesis.pdf", "type": "application/pdf", "size": 31209353, "path": "Publication:roth_2021_vdst", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/", "__class": "Publication" }, { "id": "roth_vdi", "type_id": "inproceedings", "tu_id": 300372, "repositum_id": "20.500.12708/55640", "title": "View-Dependent Impostors for Architectural Shape Grammars", "date": "2021-10", "abstract": "Procedural generation has become a key component in satisfying a growing demand for ever-larger, highly detailed geometry in realistic, open-world games and simulations. In this paper, we present our work towards a new level-of-detail mechanism for procedural geometry shape grammars. Our approach automatically identifies and adds suitable surrogate rules to a shape grammar's derivation tree. Opportunities for surrogates are detected in a dedicated pre-processing stage. Where suitable, textured impostors are then used for rendering based on the current viewpoint at runtime. Our proposed methods generate simplified geometry with superior visual quality to the state-of-the-art and roughly the same rendering performance.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_vdi-teaser.png", "type": "image/png", "size": 6440142, "path": "Publication:roth_vdi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1558, 1847, 1650, 193 ], "booktitle": "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "982263", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.2312/pg.20211390", "editor": "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard", "event": "Pacific Graphics 2021", "isbn": "978-3-03868-162-5", "lecturer": [ 1558 ], "location": "online", "open_access": "yes", "organization": "The Eurographics Association", "pages": "2", "pages_from": "63", "pages_to": "64", "publisher": "Eurographics Association", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "procedural geometry", "real-time", "GPU" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "roth_vdi-paper.pdf", "type": "application/pdf", "size": 3651426, "path": "Publication:roth_vdi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 1920, "name": "roth_vdi-teaser.png", "type": "image/png", "size": 6440142, "path": "Publication:roth_vdi", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/", "__class": "Publication" }, { "id": "rumpelnik_martin_2020_PRM", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Planetary Rendering with Mesh Shaders", "date": "2020-02", "abstract": "Planetary rendering solutions often suffer from artifacts or low performance when rendering very big terrains with high details. In this thesis, we present a method that targets real-time applications and therefore aims to achieve high performance. The method can be applied with an arbitrary amount of detail, which enables stable performance under runtime or hardware restriction. In contrast to existing methods, like quadtrees and clipmaps, our method avoids artifacts, such as popping or swimming, as much as possible. The method submits coarse, rectangular regions of cells around the viewer to NVidia’s new geometry pipeline that was introduced with their Turing Architecture. Due to the capabilities of the new pipeline, we can make efficient level-of-detail decisions on the graphics processing unit (GPU) and produce work to create circular regions from the rectangular ones. 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In this paper, we present several compute-based point cloud rendering approaches that outperform the hardware pipeline by up to an order of magnitude and achieve significantly better frame times than previous compute-based methods. Beyond basic closest-point rendering, we also introduce a fast, high-quality variant to reduce aliasing. We present and evaluate several variants of our proposed methods with different flavors of optimization, in order to ensure their applicability and achieve optimal performance on a range of platforms and architectures with varying support for novel GPU hardware features. During our experiments, the observed peak performance was reached rendering 796 million points (12.7GB) at rates of 62 to 64 frames per second (50 billion points per second, 802GB/s) on an RTX 3090 without the use of level-of-detail structures.\n\nWe further introduce an optimized vertex order for point clouds to boost the efficiency of GL_POINTS by a factor of 5x in cases where hardware rendering is compulsory. We compare different orderings and show that Morton sorted buffers are faster for some viewpoints, while shuffled vertex buffers are faster in others. In contrast, combining both approaches by first sorting according to Morton-code and shuffling the resulting sequence in batches of 128 points leads to a vertex buffer layout with high rendering performance and low sensitivity to viewpoint changes. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "fragcount", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1299, "image_height": 985, "name": "SCHUETZ-2021-PCC-fragcount.jpg", "type": "image/jpeg", "size": 836239, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 1650, 193 ], "booktitle": "techreport", "cfp": { "name": "call-for-papers.pdf", "type": "application/pdf", "error": "0", "size": "6107441", "orig_name": "call-for-papers.pdf", "ext": "pdf" }, "date_from": "2021-06-29", "date_to": "2021-07-02", "doi": "10.1111/cgf.14345", "event": "Eurographics Symposium on Rendering 2021 (EGSR '21)", "first_published": "2021-07", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1116 ], "location": "online", "number": "4", "open_access": "yes", "pages": "12", "pages_from": "115", "pages_to": "126", "publisher": "Eurographics Association", "volume": "40", "research_areas": [ "Rendering" ], "keywords": [ "point-based rendering", "compute shader", "real-time rendering" ], "weblinks": [ { "href": "https://github.com/m-schuetz/compute_rasterizer", "caption": "Source Code", "description": null, "main_file": 0 } ], "files": [ { "description": "appendix", "filetitle": "appendix", "main_file": false, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2021-PCC-appendix.pdf", "type": "application/pdf", "size": 5715741, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-appendix.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-appendix:thumb{{size}}.png" }, { "description": null, "filetitle": "fragcount", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1299, "image_height": 985, "name": "SCHUETZ-2021-PCC-fragcount.jpg", "type": "image/jpeg", "size": 836239, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount:thumb{{size}}.png" }, { "description": "paper", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2021-PCC-paper.pdf", "type": "application/pdf", "size": 4255515, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 625, "name": "SCHUETZ-2021-PCC-teaser.jpg", "type": "image/jpeg", "size": 722844, "path": "Publication:SCHUETZ-2021-PCC", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "d4386", "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/", "__class": "Publication" }, { "id": "stappen_SteFAS", "type_id": "inproceedings", "tu_id": 300417, "repositum_id": "20.500.12708/58631", "title": "Temporally Stable Content-Adaptive and Spatio-Temporal Shading Rate Assignment for Real-Time Applications", "date": "2021-10", "abstract": "We propose two novel methods to improve the efficiency and quality of real-time rendering applications: Texel differential-based content-adaptive shading (TDCAS) and spatio-temporally filtered adaptive shading (STeFAS). Utilizing Variable Rate Shading (VRS)-a hardware feature introduced with NVIDIA's Turing micro-architecture-and properties derived during rendering or Temporal Anti-Aliasing (TAA), our techniques adapt the resolution to improve the performance and quality of real-time applications. VRS enables different shading resolution for different regions of the screen during a single render pass. In contrast to other techniques, TDCAS and STeFAS have very little overhead for computing the shading rate. STeFAS enables up to 4x higher rendering resolutions for similar frame rates, or a performance increase of 4× at the same resolution.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1227, "image_height": 799, "name": "stappen_SteFAS-teaser.png", "type": "image/png", "size": 126643, "path": "Publication:stappen_SteFAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1406, 848, 1650, 193 ], "booktitle": "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "982263", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.2312/pg.20211391", "editor": "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard", "event": "Pacific Graphics 2021", "isbn": "978-3-03868-162-5", "lecturer": [ 1406 ], "location": "online", "organization": "The Eurographics Association", "pages": "2", "pages_from": "65", "pages_to": "66", "publisher": "Eurographics Association", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "variable rate shading", "temporal antialiasing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "stappen_SteFAS-paper.pdf", "type": "application/pdf", "size": 173697, "path": "Publication:stappen_SteFAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1227, "image_height": 799, "name": "stappen_SteFAS-teaser.png", "type": "image/png", "size": 126643, "path": "Publication:stappen_SteFAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/", "__class": "Publication" }, { "id": "tatzgern-2020-sst", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58270", "title": "Stochastic Substitute Trees for Real-Time Global Illumination", "date": "2020-05", "abstract": "With the introduction of hardware-supported ray tracing and deep learning for denoising, computer graphics has made a considerable step toward real-time global illumination. In this work, we present an alternative global illumination method: The stochastic substitute tree (SST), a hierarchical structure inspired by lightcuts with light probability distributions as inner nodes. Our approach distributes virtual point lights (VPLs) in every frame and efficiently constructs the SST over those lights by clustering according to Morton codes. Global illumination is approximated by sampling the SST and considers the BRDF at the hit location as well as the SST nodes’ intensities for importance sampling directly from inner nodes of the tree. To remove the introduced Monte Carlo noise, we use a recurrent autoencoder. 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Generating more than one view multiplies the amount of rendered geometry, which can cause a huge performance impact. Minimizing that impact has been a target of previous research and GPU manufacturers, who have started to equip devices with dedicated acceleration units. However, vendor-specific acceleration is not the only option to increase multi-view rendering (MVR) performance. Available graphics API features, shader stages and optimizations can be exploited for improved MVR performance, while generally offering more versatile pipeline configurations, including the preservation of custom tessellation and geometry shaders. In this paper, we present an exhaustive evaluation of MVR pipelines available on modern GPUs. We provide a detailed analysis of previous\ntechniques, hardware-accelerated MVR and propose a novel method, leading to the creation of an MVR catalogue. Our analyses cover three distinct applications to help gain clarity on overall MVR performance characteristics. Our interpretation of the observed results provides a guideline for selecting the most appropriate one for various use cases on different GPU architectures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 917, "image_height": 687, "name": "unterguggenberger-2020-fmvr-image.png", "type": "image/png", "size": 62276, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1650, 1662, 202, 193 ], "booktitle": "Eurographics Symposium on Parallel Graphics and Visualization", "cfp": { "name": "Call for Papers – EGPGV 2020.pdf", "type": "application/pdf", "error": "0", "size": "348754", "orig_name": "Call for Papers – EGPGV 2020.pdf", "ext": "pdf" }, "date_from": "2020-05-25", "date_to": "2020-05-25", "doi": "10.2312/pgv.20201071", "editor": "Frey, Steffen and Huang, Jian and Sadlo, Filip", "event": "EGPGV 2020", "isbn": "978-3-03868-107-6", "lecturer": [ 848 ], "location": "online", "open_access": "yes", "organization": "Eurographics", "pages_from": "13", "pages_to": "23", "research_areas": [ "Rendering" ], "keywords": [ "Real-Time Rendering", "Rasterization", "Multi-View", "OVR_multiview", "Geometry Shader", "Evaluation" ], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/pgv20201071", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 917, "image_height": 687, "name": "unterguggenberger-2020-fmvr-image.png", "type": "image/png", "size": 62276, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image:thumb{{size}}.png" }, { "description": "Fast Multi-View Rendering for Real-Time Applications", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2020-fmvr-paper.pdf", "type": "application/pdf", "size": 300803, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-paper:thumb{{size}}.png" }, { "description": "Slides used for the talk", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2020-fmvr-slides.pdf", "type": "application/pdf", "size": 4201932, "path": "Publication:unterguggenberger-2020-fmvr", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/", "__class": "Publication" }, { "id": "unterguggenberger-2021-msh", "type_id": "journalpaper", "tu_id": 300418, "repositum_id": "20.500.12708/58632", "title": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes", "date": "2021-10", "abstract": "Following recent advances in GPU hardware development and newly introduced rendering pipeline extensions, the segmentation of input geometry into small geometry clusters-so-called meshlets-has emerged as an important practice for efficient rendering of complex 3D models. Meshlets can be processed efficiently using mesh shaders on modern graphics processing units, in order to achieve streamlined geometry processing in just two tightly coupled shader stages that allow for dynamic workload manipulation in-between. The additional granularity layer between entire models and individual triangles enables new opportunities for fine-grained visibility culling methods. However, in contrast to static models, view frustum and backface culling on a per-meshlet basis for skinned, animated models are difficult to achieve while respecting the conservative spatio-temporal bounds that are required for robust rendering results. In this paper, we describe a solution for computing and exploiting relevant conservative bounds for culling meshlets of models that are animated using linear blend skinning. By enabling visibility culling for animated meshlets, our approach can help to improve rendering performance and alleviate bottlenecks in the notoriously performanceand memory-intensive skeletal animation pipelines of modern real-time graphics applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 849, "image_height": 653, "name": "unterguggenberger-2021-msh-teaser.png", "type": "image/png", "size": 990337, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848, 1650, 1795, 193 ], "booktitle": "Computer Graphics Forum", "cfp": { "name": "cfp.pdf", "type": "application/pdf", "error": "0", "size": "982263", "orig_name": "cfp.pdf", "ext": "pdf" }, "date_from": "2021-10-18", "date_to": "2021-10-21", "doi": "10.1111/cgf.14401", "event": "Pacific Graphics 2021", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 848 ], "location": "online", "number": "7", "open_access": "yes", "pages": "13", "pages_from": "57", "pages_to": "69", "publisher": "Eurographics Association", "volume": "40", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "real-time rendering", "meshlet", "mesh shader", "task shader", "view frustum culling", "backface culling", "Vulkan", "vertex skinning", "animation", "conservative bounds", "bounding boxes", "Rodrigues' rotation formula", "spatio-temporal bounds" ], "weblinks": [], "files": [ { "description": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2021-msh-paper.pdf", "type": "application/pdf", "size": 13842539, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-paper:thumb{{size}}.png" }, { "description": "Slides used for the talk", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unterguggenberger-2021-msh-slides.pdf", "type": "application/pdf", "size": 4963013, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-slides:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 849, "image_height": 653, "name": "unterguggenberger-2021-msh-teaser.png", "type": "image/png", "size": 990337, "path": "Publication:unterguggenberger-2021-msh", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "3DSpatialization" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/", "__class": "Publication" }, { "id": "unterguggenberger-2022-vulkan", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/175673", "title": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses", "date": "2022-04", "abstract": "For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU. Various properties of this API and overall trends suggest that Vulkan could soon replace OpenGL in many areas. Hence, it stands to reason that educators who have their students' best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in an introductory graphics course side-by-side with conventional OpenGL. 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"auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", 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"TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "d4958", "workgroup_id": "rend", "drupal_id": 4958, "drupal_path": "/research/projects/GS_Buildings", "name": "Green and Smart Buildings: Solar Irradiation Analysis for Early Design Phases", "name_de": "Green and Smart Buildings: Solar Irradiation Analysis for Early Design Phases", "short_title": "G&S_Buildings", "website": null, "status": "active", "short_abstract": null, "abstract": "The main objective of this project is to demonstrate a novel approach to solve the problem of irradiation analysis in architectural design significantly faster than existing methods. This speed increase in turn enables new design workflows in architectural design. It will enable the designer to reduce the expected energy consumption of the designed building. More generally we will show that a difficult problem, previously viewed as a simulation problem, can be addressed utilizing the technology and techniques from computer graphics, specifically GPU accelerated rendering.
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"cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", 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"Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "geo-materials", "workgroup_id": null, "drupal_id": 4187, "drupal_path": "/research/projects/geo-materials", "name": "Computational Design of Geometric Materials", "name_de": null, "short_title": "geo-materials", "website": null, "status": "active", "short_abstract": "In this project we want to research novel materials whose mechanical behavior is described by the complexity of their geometry. Such “geometric materials” are cellular structures whose properties depend on the shape and the connectivity of their cells, while the actual physical substance they are built of is constant across the entire object. ", "abstract": "In this project we want to research novel materials whose mechanical behavior is described by the complexity of their geometry. Such “geometric materials” are cellular structures whose properties depend on the shape and the connectivity of their cells, while the actual physical substance they are built of is constant across the entire object. Our goal is to develop the first computational model for the analysis and simulation of complex geometric materials, as well as a so-called goal-based computational design framework for their synthesis. Goal-based means that the desired behavior can be specified a-priori by the designer, and an appropriate geometric structure that best approximates the given goals is computed automatically. Our main research problem is how to map mechanical properties to geometric connections of cellular structures.
\r\n", "start_date": "2016-03-01", "end_date": "2021-08-31", "leader_id": { "id": 844, "drupal_id": 174, "orcid_id": "0000-0001-6429-8190", "website": "https://www.cg.tuwien.ac.at/staff/PrzemyslawMusialski", "firstname": "Przemyslaw", "lastname": "Musialski", "searchname": "Przemyslaw Musialski", "is_teacher": false, "name": "Przemyslaw Musialski", "publications": [ "Auzinger_2013_NSAA", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Birsak2018-SA", "charpenay-2014-sgn", "fan-2014-scfl", "hafner-2015-onff", "Ilcik_2015_LAY", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "liu-2012-tcvd", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2009-sbfr", "musialski-2010-imv", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "Przemyslaw-2010-ADS", "steiner_2016_isad", "x-mas-2013" ], "publications_first": [], "project_leader": [ "geo-materials", "MAKE-IT-FAB" ], "publication_field": [ { "publ_id": "aichner-2016-sadf", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "albillos-2013-MA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "charpenay-2013-PR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "fleiss-2015-da", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "gersthofer-2016-sosob", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "hafner-2015-eigf", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kavelar_albert_2010_ebic", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "koessler-2013-BA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kollmann-2015-DoF", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kreuzer-2016-isf", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "leimer-2014-fsco", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "leimer-2016-coan", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "leimer-2023-ecd", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "manpreet_kainth-2012-rus", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "musialski_2016_sosp", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "musialski-2009-sbfr", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "musialski-2010-tof", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "musialski-2012-icb", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "musialski-2012-sur", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Musialski-2013-ipmum", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "musialski-2015-souos", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "recheis-2009-arr", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "schaukowitsch-2013-fls", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "sippl-2014-fss", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "sperl-2013-BA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "spitaler-2015-pbi", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "spitaler-afr-2011", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "steiner-2014-da", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "trenkwalder-2013-ma", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "WINKLER-2019-PDG", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zapotocky_2013_ma", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=844", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:geo-materials", "type": "image/png", "size": 298337, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/geo-materials/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "WWTF", "contract_number": null, "comment": null, "funding_organisation": { "id": "WWTF", "drupal_id": 4149, "name": "WWTF Wiener Wissenschafts-, Forschungs- und Technologiefonds", "logo": { "name": "logo.png", "type": "image/png", "size": 21079, "orig_name": "logo.png", "path": "FundingOrganisation:WWTF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/WWTF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "geo-materials", "contract_number": null, "comment": null }, { "id": "illvisation", "contract_number": "VRG11-010", "comment": null }, { "id": "LEOPOLD", "contract_number": null, "comment": null }, { "id": "Scale-VS", "contract_number": "ICT08-40, 2009-201 2", "comment": null }, { "id": "Scenario Pool", "contract_number": "ICT12-009", "comment": null }, { "id": "WorldScale", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=WWTF", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "leimer_2020-cag", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141145", "title": "Pose to Seat: Automated design of body-supporting surfaces", "date": "2020-04", "abstract": "The design of functional seating furniture is a complicated process which often requires extensive manual design effort and empirical evaluation. We propose a computational design framework for pose-driven automated generation of body-supports which are optimized for comfort of sitting. Given a human body in a specified pose as input, our method computes an approximate pressure distribution that also takes frictional forces and body torques into consideration which serves as an objective measure of comfort. Utilizing this information to find out where the body needs to be supported in order to maintain comfort of sitting, our algorithm can create a supporting mesh suited for a person in that specific pose. This is done in an automated fitting process, using a template model capable of supporting a large variety of sitting poses. The results can be used directly or can be considered as a starting point for further interactive design.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 627, "image_height": 636, "name": "leimer_2020-cag-image.png", "type": "image/png", "size": 270901, "path": "Publication:leimer_2020-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 1422, 948, 844 ], "date_from": "2020-01-01", "date_to": "2020-01-01", "event": "Conference", "journal": "Computer Aided Geometric Design", "open_access": "yes", "pages_from": "1", "pages_to": "1", "volume": "79", "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "pose estimation", "furniture", "computational design" ], "weblinks": [ { "href": "https://arxiv.org/pdf/2003.10435.pdf", "caption": "paper", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 627, "image_height": 636, "name": "leimer_2020-cag-image.png", "type": "image/png", "size": 270901, "path": "Publication:leimer_2020-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "leimer_2020-cag-Paper.pdf", "type": "application/pdf", "size": 3539714, "path": "Publication:leimer_2020-cag", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Superhumans", "MAKE-IT-FAB", "geo-materials" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/", "__class": "Publication" }, { "id": "leimer-2018-sar", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Sit & Relax: Interactive Design of Body-Supporting Surfaces", "date": "2018-10", "abstract": "We propose a novel method for interactive design of well-fitting body-supporting surfaces that is driven by the pressure distribution on the body's surface. \n\nOur main contribution is an interactive modeling system that utilizes captured body poses and computes an importance field that is proportional to the pressure distribution on the body for a given pose. This distribution indicates where the body should be supported in order to easily hold a particular pose, which is one of the measures of comfortable sitting. \t\n\nUsing our approximation, we propose the entire workflow for interactive design of $C^2$ smooth surfaces which serve as seats, or generally, as body supporting furniture for comfortable sitting. Finally, we also provide a design tool for Rhino/Grasshopper that allows for interactive creation of single designs or entire multi-person sitting scenarios. We also test the tool with design students and present several results. \t\t\n\nOur method aims at interactive design in order to help designers to create appropriate surfaces digitally without additional empirical design passes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1339, "image_height": 743, "name": "leimer-2018-sar-image.png", "type": "image/png", "size": 938874, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 836, 1063, 844 ], "cfp": { "name": "call_for_papers.pdf", "type": "application/pdf", "error": "0", "size": "2740870", "orig_name": "call_for_papers.pdf", "ext": "pdf" }, "date_from": "2018-10-08", "date_to": "2018-10-11", "doi": "10.1111/cgf.13573", "event": "Pacific Graphics 2018", "journal": "Computer Graphics Forum", "lecturer": [ 1019 ], "location": "Hong Kong", "number": "7", "open_access": "yes", "pages_from": "349", "pages_to": "359", "volume": "37", "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "interactive modeling", "interactive design", "digital fabrication" ], "weblinks": [ { "href": "https://doi.org/10.1111/cgf.13573 ", "caption": "DOI", "description": null, "main_file": 0 } ], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1339, "image_height": 743, "name": "leimer-2018-sar-image.png", "type": "image/png", "size": 938874, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2018-sar-preprint.pdf", "type": "application/pdf", "size": 10955588, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2018-sar-video.mp4", "type": "video/mp4", "size": 201674852, "path": "Publication:leimer-2018-sar", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB", "geo-materials" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/geo-materials", "__class": "Project" }, { "id": "Wohnen 4.0", "workgroup_id": "rend", "drupal_id": 4168, "drupal_path": "/research/projects/Wohnen-40", "name": "Wohnen 4.0 - Digital Platform for Affordable Housing", "name_de": null, "short_title": "Wohnen 4.0", "website": null, "status": "active", "short_abstract": "This is a joint project with the civil engineering faculty and several companies. Its aim is the development of an Integrated Framework “Housing 4.0”; a digital platform supporting integrated planning and project delivery through coupling various digital tools and databases, like Building Information Modeling (BIM) for Design to Production and Parametric Habitat Designer.
\r\n\r\nOur goal is to exploit the potential of BIM for modular, off-site housing assembly in order to improve planning and construction processes, reduce cost and construction time and allow for mass customization will be explored.
\r\n\r\nThe novel approach in this project is user-involvement; which has been neglected in recent national and international projects on off-site, modular construction supported by digital technologies. A parametric design tool should allow different stakeholders to explore both high-level and low-level options and their impact on the construction project so that mutually optimal solutions can be found easier.
\r\n", "abstract": "This is a joint project with the civil engineering faculty and several companies. Its aim is the development of an Integrated Framework “Housing 4.0”; a digital platform supporting integrated planning and project delivery through coupling various digital tools and databases, like Building Information Modeling (BIM) for Design to Production and Parametric Habitat Designer.
\r\n\r\nOur goal is to exploit the potential of BIM for modular, off-site housing assembly in order to improve planning and construction processes, reduce cost and construction time and allow for mass customization will be explored.
\r\n\r\nThe novel approach in this project is user-involvement; which has been neglected in recent national and international projects on off-site, modular construction supported by digital technologies. A parametric design tool should allow different stakeholders to explore both high-level and low-level options and their impact on the construction project so that mutually optimal solutions can be found easier.
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"Scanopy", "contract_number": "812126", "comment": null }, { "id": "SCI_BIM", "contract_number": "867314", "comment": "Stadt der Zukunft" }, { "id": "Sim-CT", "contract_number": "812136-SCK/KUG (Bridge project)", "comment": null }, { "id": "Smart-CT", "contract_number": "818108 (Bridge project)", "comment": null }, { "id": "Smile Analytics", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" }, { "id": "TERAPOINTS", "contract_number": "825842", "comment": "FIT-IT Visual Computing" }, { "id": "Wohnen 4.0", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", 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"kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/Wohnen-40", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "illvisation", "workgroup_id": "vis", "drupal_id": 4171, "drupal_path": "/research/projects/illvisation", "name": "Visual Computing: Illustrative Visualization", "name_de": null, "short_title": "illvisation", "website": null, "status": "active", "short_abstract": "The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/
\r\n\r\nPrototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/
cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.
\r\n\r\n18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness
The central focus of our research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined. The science of visualization has already gained some understanding of structural visual abstraction. When for example illustrators, artists, and visualization designers convey certain structure, or visually express how things look, we can often provide a scientifically-founded argument whether and why is their expression effective for human cognitive processing. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives. The upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. By solving individual visualization problems of this challenging target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the chosen target domain. Prototype implementation of the developed technology is available at the GitHub repository: https://github.com/illvisation/
\r\n\r\nPrototype implementation of the developed technology is available at the GitHub repository:
\r\nhttps://github.com/illvisation/
cellVIEW is a new tool that provides fast rendering of very large biological macromolecular scenes and is inspired by state-of-the-art computer graphics techniques. Click here for additional information.
\r\n\r\n18.11.2016: Arthur J. Olson, Envisioning the Visible Molecular Cell
\r\n17.10.2016: Kwan-Liu Ma, Emerging Topics for Visualization Research: Part1, Part2
\r\n07.10.2016: Marc Streit, From Visual Exploration to Storytelling and Back Again
\r\n04.12.2015: Jan Palacek, Visual Analysis of Protein Complexes: From Protein Interaction to Cellular Processes
\r\n19.04.2013: Jan Koenderink, Shape in Visual Awareness
The core idea in this project is to capture the shape of physical objects in real time, with guaranteed precision, and to reconstruct the shape boundaries with minimal geometry. An example application is to let untrained users acquire shapes using emerging mobile sensing devices such as Google’s Project Tango. The user moves the sensor around the object, guided by immediate visual feedback on the input sampling quality. The output is a topologically clean mesh consisting of just the vertices required to represent its features to the desired approximation. The real-time reconstruction enables numerous geometry-processing applications to be taken online, such as shape retrieval/matching, harvesting real-world geometry into a cloud, perspective photo correction, interactive modeling, augmented reality, physics simulation, or fabrication.
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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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "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" } ], "publications": [ { "id": "erler_2024_ppsurf", "type_id": "journalpaper", "tu_id": null, "repositum_id": "20.500.12708/192690", "title": "PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction", "date": "2024-01-12", "abstract": "Abstract 3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non-data-driven surface representation to fit the points, or learn a data-driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data-driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade-off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state-of-the-art. Our source code, pre-trained model and dataset are available at https://github.com/cg-tuwien/ppsurf.", "authors_et_al": false, "substitute": null, "main_image": { "description": "PPSurf teaser with comparison", "filetitle": "teaser", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 2288, "image_height": 740, "name": "erler_2024_ppsurf-teaser.png", "type": "image/png", "size": 1734284, "path": "Publication:erler_2024_ppsurf", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser:thumb{{size}}.png" }, "sync_repositum_override": "number,volume", "repositum_presentation_id": null, "authors": [ 1395, 5317, 1919, 627, 1184, 193 ], "date_from": "2020", "date_to": "2024-01-12", "doi": "https://doi.org/10.1111/cgf.15000", "event": "Eurographics 2024", "first_published": "2024-01-12", "html_block": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "abstract": "In this area, we focus on user experiences and rendering algorithms for virtual reality environments, including methods to navigate and collaborate in VR, foveated rendering, exploit human perception and simulate visual deficiencies.
", "website": "https://www.cg.tuwien.ac.at/research/area/VR", "teaser": { "name": "teaser.jpg", "path": "research_area:VR", "type": "image/jpeg", "size": 191119, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/VR/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend", "vis" ], "publications": [ "adolf-2019-jug", "Alharbi_2021", "antes-2026-maa", "Bayer_Alexander_2021_FTiVR", "Erhardt_2025_Scutes", "gall-2025-marv", "Goellner_2019-ABC", "gramegna-rfr", "hladky-2022-QS", "huber-2025-eed", "huber-2025-esl", "Kan_Peter-2021-MDPI", "kan-2019-dli", "Kathi-2018-VRB", "Kovacs_2020", "Kroesl_2020_11_09", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "medeiros-2023-gwf", "Mirzaei_Mohammadreza_2020-EVR", "Mortezapoor2021ssc", "panfili-2019-VAVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "sorger-2021-egonet", "Sprung_2021", "Vasylevska2020VRB", "Vonach021", "walchhofer_ar_flowmaps", "walchhofer-tso" ], "projects": [ "BimFlexi", "d4322", "d9275", "EU U-CREATE", "EvaluARte", "MARG", "Superhumans" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=VR", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/EvaluARte", "__class": "Project", "workgroup": { "id": "vr", "drupal_id": 1358, "name": "Virtual Reality Group", "website": "https://www.cg.tuwien.ac.at/group/Virtual-Reality-Group", "projects": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "research_areas": [], "publications": [ "adolf-2019-jug", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "kan-2019-dli", "Kovacs_2020", "Mirzaei_Mohammadreza_2020-EVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "Sprung_2021", "Vasylevska_Khrystyna-2019-TEFVR" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vr", "__class": "Workgroup" } }, { "id": "Smile Analytics", "workgroup_id": "vis", "drupal_id": 4194, "drupal_path": "/research/projects/Smile-Analytics", "name": "Smile Analytics: Visual Analytics for Realistic and Aesthetic Smile Design", "name_de": null, "short_title": "Smile Analytics", "website": null, "status": "active", "short_abstract": "The aim of the project is to improve the digital fabrication of dental prosthetic devices. We employ state of the art visualization techniques to enable a dental pretreatment preview for the patients.", "abstract": "The aim of the project is to improve the digital fabrication of dental prosthetic devices. We employ state of the art visualization techniques to enable a dental pretreatment preview for the patients.", "start_date": "2017-07-01", "end_date": "2019-06-30", "leader_id": { "id": 869, "drupal_id": 86, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/GabrielMistelbauer", "firstname": "Gabriel", "lastname": "Mistelbauer", "searchname": "Gabriel Mistelbauer", "is_teacher": false, "name": "Gabriel Mistelbauer", "publications": [ "amirkhanov-2019-manylands", "amirkhanov2020visual", "Auzinger_Mistelbauer_2013_CSR", "fmistelbauer-2014-adict", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-SD", "manylands_award", "Miao_2015_VCBM", "miao_2016_cgf", "miao_tvcg_2017", "mindek-2017-dsn", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2014-ekc", "mistelbauer-2015-abvv", "Schernthaner-2017-MCP", "sikachev_peter-2011-metavis", "TR-186-2-15-03", "xmas-2010" ], "publications_first": [], "project_leader": [ "Smile Analytics" ], "publication_field": [ { "publ_id": "amirkhanov-2021-diss", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "AndreUrsits_2013_APP", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Auzinger_Mistelbauer_2013_CSR", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "bauer-2015-cbfd", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "fmistelbauer-2014-ad", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "mistelbauer-2012-cr", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mistelbauer-2012-ssv", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "mistelbauer-2013-cfa", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=869", "__class": "Author" }, "logo": null, "funding_organisations": [ { "id": "FFF", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt", "funding_organisation": { "id": "FFF", "drupal_id": 4141, "name": "FFG", "logo": { "name": "logo.png", "type": "image/png", "size": 2040, "orig_name": "logo.png", "path": "FundingOrganisation:FFF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/FFF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "ADAPT", "contract_number": null, "comment": null }, { "id": "AR-AQ-Bau", "contract_number": "867375", "comment": null }, { "id": "AutARG", "contract_number": "FIT-IT project no. 819352", "comment": null }, { "id": "BimFlexi", "contract_number": null, "comment": null }, { "id": "EvaluARte", "contract_number": null, "comment": null }, { "id": "GAMEWORLD", "contract_number": "813387", "comment": "FIT-IT Visual Computing" }, { "id": "Landspotting", "contract_number": "2008999", "comment": null }, { "id": "REPLICATE", "contract_number": "835948", "comment": "FIT-IT" }, { "id": "RESHADE", "contract_number": "820916", "comment": "FIT-IT Visual Computing" }, { "id": "Scanopy", "contract_number": "812126", "comment": null }, { "id": "SCI_BIM", "contract_number": "867314", "comment": "Stadt der Zukunft" }, { "id": "Sim-CT", "contract_number": "812136-SCK/KUG (Bridge project)", "comment": null }, { "id": "Smart-CT", "contract_number": "818108 (Bridge project)", "comment": null }, { "id": "Smile Analytics", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" }, { "id": "TERAPOINTS", "contract_number": "825842", "comment": "FIT-IT Visual Computing" }, { "id": "Wohnen 4.0", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "MedVis", "drupal_id": 4133, "name": "Medical Visualization", "short_abstract": "This research area bridges the gap between visualization and medicine by providing comprehensible visual means to detect diseased regions or to aid clinical treatment decisions.", "abstract": "In collaboration with hospitals we try to investigate various topics in medicine by means of visualization or visual analytics. Due to the increasing amount of data generated by hospital information systems, visualization becomes successively more important. Extracting certain trends from such highly diverse data by suitable visual mappings is one of the primary goals of medical visualization. The data is usually acquired by computed tomography, magnetic resonance imaging or ultrasound.\n\nCurrently, our research addresses the analysis of blood vessels such as the inspection of possible stenotic regions or their spatial arrangement as in the Circle of Willis. Furthermore, we investigate aneurysm classification and lesion detection as well as visualization. Another research area deals with realistic prenatal visualization of the fetus in-vivo and in real-time. Due to the high variability of medical imaging data, we further focus on high-level correction of segmentation defects.", "website": "https://www.cg.tuwien.ac.at/research/area/MedVis", "teaser": { "name": "teaser.png", "path": "research_area:MedVis", "type": "image/png", "size": 225330, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/MedVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "amabili2021", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "antes-2023-vhv", "arbesser_ba_2023", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Bauer_David_2018", "bayat-2022-mva", "Bernold_2019", "bernold-2019-epr", "Birkeland-2012-IMC", "borondy2022", "bront-2023-svo", "bruckner-2010-HVC", "burns-2007-fea", "Chen-Information-2016", "djuric-2020-wvo", "Eckelt_2017", "Eichner2022", "EuroVis2018-ShortPapers-Karall", "fmistelbauer-2014-adict", "Ford-2012-HRV", "furmanova_2020", "Gadllah_Hani_2016", "Gall_2017", "gall_alexander_2016BA", "ganglberger2019", "Gietl_2020", "Gillmann2021", "Groeller_2016_P4", "Groeller_V42020", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "gutekunst_2019", "Hainoun2019", "Heim-2017", "Ismail-2018", "jank-2022-cbf", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "Kovacs_PhD", "Machegger2018DTI", "magg-2021-dva", "magg2021", "magg2022", "malan_fluoro", "martorell2022", "Masopust_2018", "Mazza_2020", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2017", "mindek-2017-dsn", "Mistelbauer_2021", "Mistelbauer_Gabriel_2016", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "moerth_eric-2016-3DF", "moerth-2018-tpose", "Musleh_PhD", "musleh-2023-ugi", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "PERNDORFER-2015-ECS", "Pezenka-2016-MT", "Philipp_Hochhauser_2023", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_visgap2020", "raidou2018visualflatter", "Reiter2017CVAP", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "ruiz-2008-OVR", "ruiz-2008-SEV", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "Schmidlehner_Sandra_SbC", "Schrempf_2018", "schultes_lampi", "SifuentesGangl2017FIS", "solteszova-2010-MOS", "Solteszova2016", "Spelitz2020", "stritzel2022", "Stritzel2022_thesis", "Tramberger_2018", "Tramberger2017BCS", "unger_2017", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_HQ3", "Viola_Ivan_DAC", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "vitruvian_2019", "vogel2022", "Weissenboeck_2019_PhD" ], "projects": [ "d9951", "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=MedVis", "__class": "ResearchArea" } ], "publications": [ { "id": "amirkhanov-2018-withteeth", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "WithTeeth: Denture Preview in Augmented Reality", "date": "2018-10", "abstract": "Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined manually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1170, 817, 660, 582, 1628, 1629, 166 ], "address": "https://diglib.eg.org/handle/10.2312/vmv20181250", "booktitle": "Vision, Modeling and Visualization", "cfp": { "name": "call_for_paper_vmv18.pdf", "type": "application/pdf", "error": "0", "size": "748387", "orig_name": "call_for_paper_vmv18.pdf", "ext": "pdf" }, "editor": "Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip", "event": "VMV18", "isbn": "978-3-03868-072-7", "lecturer": [ 1170 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-paper.pdf", "type": "application/pdf", "size": 4951324, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video demo", "main_file": true, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2018-withteeth-video demo.mp4", "type": "video/mp4", "size": 35459157, "path": "Publication:amirkhanov-2018-withteeth", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:video.mp4" } ], "projects_workgroups": [ "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/", "__class": "Publication" }, { "id": "amirkhanov-2021-diss", "type_id": "phdthesis", "tu_id": 301689, "repositum_id": "20.500.12708/19584", "title": "Visual Analysis of Defects", "date": "2021", "abstract": "In everyday life, we use many objects on which we rely and expect them to work correctly. We use phones to communicate with friends, bicycles to commute, payment cards to buy groceries. However, due to defects, these objects may fail at some time, leading to adverse outcomes. Modern industry continually improves the quality of outputs (e.g., products and services) and ensures that they meet their specifications. A common quality management strategy is the defect analysis used to identify and control outputs that do not conform to their specifications. Traditional defect analysis methods are often manual and, therefore, time-consuming procedures. To build more efficient solutions, defect analysis increasingly employs visual analytics techniques. These techniques automatize and enhance the up-to-now manual analysis steps and support new visual approaches for defect representations that resolve existing defects without introducing new ones. In this dissertation, visual analytics techniques applied to defect analysis are referred to as visual analysis of defects. Being a rapidly developing area, the domain of visual analysis of defects is still missing a formalized basis.\n\nThis dissertation presents and discusses a workflow for the visual analysis of defects based on the plan-do-check-act cycle of continual improvement. The workflow consists of four steps: defect prevention, control of defective outputs, performance evaluation, and improvement. During the defect prevention step, domain experts plan the design and development processes to ensure that intended results can be achieved while forecasting risks and opportunities. During the control of defective outputs step, domain experts implement the processes and control defects arising throughout these processes. During the performance evaluation step, domain experts ensure that defective outputs are identified by measuring the object's characteristics. During the improvement step, domain experts explore possible actions that improve the object quality.\n\nThis dissertation presents four solutions that advance the visual analysis of defects at the four distinct steps of the workflow. The first solution corresponds to the defect prevention step and provides a preview of dental treatment. It helps dental technicians to identify the most suitable treatment option and avoid cases when patients are unsatisfied with the results due to poor denture aesthetics. The second solution corresponds to the control of defective outputs step and supports dental technicians in designing aesthetic and functional dentures. The approach provides immediate visual feedback on a change in the denture design, which helps to evaluate how the change affects aesthetics. The third solution corresponds to the performance evaluation step and supports material engineers in investigating the damage mechanism in composite materials. First, the system captures and measures various defects such as matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. Later, users analyze these defects using several interactive visualization techniques. The fourth solution corresponds to the improvement step and visualizes 4D dynamical systems describing various phenomena. The solution enables the 4D representation of dynamical systems and allows the 4D representation to seamlessly transition into, familiar to the user, lower-dimensional plots.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1731, "image_height": 1726, "name": "amirkhanov-2021-diss-teaser.jpg", "type": "image/jpeg", "size": 119695, "path": "Publication:amirkhanov-2021-diss", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1170 ], "co_supervisor": [ 869, 611 ], "date_end": "2021", "date_start": "2014", "doi": "10.34726/hss.2022.99023", "open_access": "yes", "pages": "178", "reviewer_1": [ 1711 ], "reviewer_2": [ 563 ], "rigorosum": "2021-10-18", "supervisor": [ 166 ], "research_areas": [ "MedVis", "VisMat" ], "keywords": [ "visualization", "visual analytics", "defect analysis", "dentistry", "material science", "mathematical visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Dissertation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "amirkhanov-2021-diss-Dissertation.pdf", "type": "application/pdf", "size": 12790468, "path": "Publication:amirkhanov-2021-diss", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-Dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-Dissertation:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1731, "image_height": 1726, "name": "amirkhanov-2021-diss-teaser.jpg", "type": "image/jpeg", "size": 119695, "path": "Publication:amirkhanov-2021-diss", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Smile Analytics" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/Smile-Analytics", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "amirkhanov2010AMA", "ammer-2008-lst", "An-2018-CHI", "AndreUrsits_2013_APP", "antes-2023-vhv", "Antonini2020", "arbesser_ba_2023", "Artner-2004-Hig", "Artner-2005-Hig", "Artner-2005-Thesis", "audioflow", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "BioNetIllustration", "workgroup_id": "vis", "drupal_id": 4196, "drupal_path": "/research/projects/BioNetIllustration", "name": "BioNetIllustration: User Centric Illustrations of Biological Networks", "name_de": null, "short_title": "BioNetIllustration", "website": null, "status": "active", "short_abstract": "In living systems, one molecule is commonly involved in several distinct physiological functions. The roles of molecules are commonly summarized in pathway diagrams, which, however, are abstract, hierarchically nested and thus is difficult to comprehend especially by non-expert audience. The primary goal of this research in visualization is to intuitively support the comprehensive understanding of relationships among biological networks using interactively computed illustrations. Illustrations, especially in textbooks of biology are carefully designed to clearly present reactions between organs as well as interactions within cells. Automatic generation of illustrative visualizations of biological networks is thus the technical content of this proposal. Automatic generation of hand-drawn illustrations has been a challenging task due to the difficulty of algorithmically describing a human creative process such as evaluating and selecting significant information and composing meaningful explanations in a visually plausible manner. The project also involves experts from several disciplines including network and medical visualization, data mining, systems biology as well as perceptual psychology. The result will provide a new direction for physiological process analysis and accelerate the knowledge transfer not only within experts but also to the public. Acknowledgment: The project has received funding from the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 747985.
\r\n", "abstract": "In living systems, one molecule is commonly involved in several distinct physiological functions. The roles of molecules are commonly summarized in pathway diagrams, which, however, are abstract, hierarchically nested and thus is difficult to comprehend especially by non-expert audience. The primary goal of this research in visualization is to intuitively support the comprehensive understanding of relationships among biological networks using interactively computed illustrations. Illustrations, especially in textbooks of biology are carefully designed to clearly present reactions between organs as well as interactions within cells. Automatic generation of illustrative visualizations of biological networks is thus the technical content of this proposal. Automatic generation of hand-drawn illustrations has been a challenging task due to the difficulty of algorithmically describing a human creative process such as evaluating and selecting significant information and composing meaningful explanations in a visually plausible manner. The project also involves experts from several disciplines including network and medical visualization, data mining, systems biology as well as perceptual psychology. The result will provide a new direction for physiological process analysis and accelerate the knowledge transfer not only within experts but also to the public. Acknowledgment: The project has received funding from the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 747985.
\r\n", "start_date": "2017-06-21", "end_date": "2019-06-20", "leader_id": { "id": 1464, "drupal_id": 1266, "orcid_id": "0000-0003-1028-0010", "website": "https://www.cg.tuwien.ac.at/staff/Hsiang-YunWu", "firstname": "Hsiang-Yun", "lastname": "Wu", "searchname": "Hsiang-Yun Wu", "is_teacher": false, "name": "Hsiang-Yun Wu", "publications": [ "8564188", "An-2018-CHI", "batik-2021-gd", "batik-2022-smm", "bhore-2021-issac", "bhore-2023-ucd", "cmolik-2020-tvcg", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "ehlers-2025-www", "Ganglberger-2022-cg", "Iijima-2020-iV", "koeppel-2021", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "kouril-2018-LoL", "Kuroko-2020-iV", "li-2019-gdc", "maruyama-2019-iv", "mizuno-2019-eurovis", "noellenburg-2023-pga", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-nodkant", "Purchase-2020-gd", "raidou_slicedice", "sakr_sherif-2020-cacm", "Sbardellati-2019-vcbm", "schindler_2020vis", "Schindler-2022-eurovis", "takahashi-2019-acdt", "vasileva-2019-smw", "wu-2017-dagstuhl", "wu-2018-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-prague", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "YOGHOURDJIAN2019" ], "publications_first": [], "project_leader": [ "BioNetIllustration" ], "publication_field": [ { "publ_id": "8564188", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Batik-2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Deutsch-2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Ehlers_PhD", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Ismail-2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "koeppel-2021", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Koeppel2020", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Kompatscher-2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "korpitsch_thorsten-2019", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Korpitsch-2020-wscg", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "korpitsch-2023-sao", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Laschober-2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "mistelbauer-2023-aha", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Pahr_PhD", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Pahr2020", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "Pilizar_-2020-bachelor", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "pointner_simon-2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "rinortner_susanne-2019-vpicc", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Schindler-2022-eurovis", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Thomas-2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Vasileva-2018", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wu-2019-smw", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "wu-2019-visworkshop", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "wu-2020-eurovis-star", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=1464", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:BioNetIllustration", "type": "image/png", "size": 16337, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/BioNetIllustration/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "Horizon 2020", "contract_number": "747985", "comment": null, "funding_organisation": { "id": "Horizon 2020", "drupal_id": 4144, "name": "Horizon 2020 Marie Sklodowska-Curie Actions (MSCA)", "logo": { "name": "logo.png", "type": "image/png", "size": 491649, "orig_name": "logo.png", "path": "FundingOrganisation:Horizon 2020", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/Horizon 2020/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "BioNetIllustration", "contract_number": "747985", "comment": null }, { "id": "EVOCATION", "contract_number": "ITN 813170", "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=Horizon 2020", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "BioVis", "drupal_id": 4127, "name": "Biological Data Visualization", "short_abstract": "In this research area, we develop new visualization techniques to support biologists in data analysis and create visualizations to disseminate scientific discoveries in biology.", "abstract": "In modern biological research domain experts have to deal with complex and large data collections and simulations. Our goal is to support biological researches in molecular biology and phenotyping communities by developing visualizations that complement statistical methodology and wet lab with visual data analysis. Our tools allow the domain experts to see the key information they are looking for that relates to the studied structure, such as tunnels in molecules on the nanoscale or root shape distributions on the macroscopic magnification levels.\nEqually important is the role of visualization in explaining certain phenomenon to a larger audience. Biologists create large structural models that reflect the state-of-the-art knowledge about a certain living organism. This form of captured knowledge can be effectively communicated with interactive visualization, especially the aspect of understanding interplay of multiple spatial and temporal scales. With our visualization technology audience can therefore seamlessly zoom from zoom level when seeing entire bacteria down to its atomic detail.\n", "website": "https://www.cg.tuwien.ac.at/research/area/BioVis", "teaser": { "name": "teaser.png", "path": "research_area:BioVis", "type": "image/png", "size": 16330957, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/BioVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "2017-kouril-illcell", "Alharbi_2021", "amirkhanov-2019-manylands", "byska-2019-mdfc", "cellVIEW_2015", "cmolik-2020-tvcg", "Dietrich_1", "dietrich-2016-viseq2", "Ehlers_PhD", "ehlers-2025-ait", "eschner-2023-ims", "eschner-blur-2022", "Escribano_2017", "Furmanova_2018", "Gehrer-2017", "Gehrer-2017-molmach", "glinzner-2016-tex", "Halladjian_2020", "kapferer-2017-godot", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koch-2018-sso", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kozlikova-Visualization-2016b", "Krone2016VABC", "Kugler_2019", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lipp-2017-mgpu", "lipp-2017-vulkan", "Manczarski-2016", "manylands_award", "Miao_2019", "miao_inria_2017", "miao_nantech_2019", "miao_nar_2020", "miao_stateKeylabTalk_2017", "miao_thesis_2019", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2016-utah-talk", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-xmas-card-2016", "Mitterhofer_2017", "nguyen_2020-covid", "Nowak_2020", "raidou_2019_springer", "raidou_shonan167", "raidou2018visualflatter", "rasch-2016-imgses", "Reisacher2016", "rinortner_susanne-2019-vpicc", "Sarkis_2021", "sbardellati_ba_2018", "Sbardellati-2019-vcbm", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2013-neuromap", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "stappen_2017_animatedcomic", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "trautner-2018-imd", "unger-2019_vcp", "vad_2015_phd", "vad_viktor-2017-WVE", "vad-2016-bre", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_IIP", "waldin-2019-ccm", "waldner-2014-af", "Weissenboeck_2019", "wu-2017-dagstuhl", "wu-2018-metabo", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg" ], "projects": [ "BioNetIllustration", "Illustrare", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=BioVis", "__class": "ResearchArea" }, { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", "knoetzl_alexander-2025-prj", "koeppel-2021", "Kolter_2021", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch-2021-lov", "Kuroko-2020-iV", "Laschober-2018", "li-2019-gdc", "lippeck-2022-mna", "louis-alexandre_dit_petit-frere-2022-veo", "magg2022", "mahler-2021-mdar", "martorell2022", "maruyama-2019-iv", "Matkovic_Kresimir_2015_", "Matkovic-2014-ieee", "matt-2024-cvil", "matt-2025-scv", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "medeiros-2023-gwf", "meka-2024-lpi", "melcher-2024-asi", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao2018Dimsum", "mizuno-2019-eurovis", "Muehlbacher_diss_2018", "musleh_maath_2021_mam", "musleh_maath-2021-mam1", "musleh_maath-2021-mam2", "Musleh_PhD", "musleh-2022-mam5", "musleh-2025-trustme", "Neubauer2020", "Nowak_2021", "ortner-2016-tunnel", "ortner-2016-visaware", "pahr-2024-ieo", "PH-2011-LDS", "Pilizar_-2020-bachelor", "pirch_2021_VRN", 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"STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [ { "id": "cmolik-2020-tvcg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/58318", "title": "Mixed Labeling: Integrating Internal and External Labels", "date": "2020-09-28", "abstract": "In this paper, we present an algorithm capable of mixed labeling of 2D and 3D objects. In mixed labeling, the given objects are labeled with both internal labels placed (at least partially) over the objects and external labels placed in the space around the objects and connected with the labeled objects with straight-line leaders. The proposed algorithm determines the position and type of each label based on the user-specified ambiguity threshold and eliminates overlaps between the labels, as well as between the internal labels and the straight-line leaders of external labels. The algorithm is a screen-space technique; it operates in an image where the 2D objects or projected 3D objects are encoded. In other words, we can use the algorithm whenever we can render the objects to an image, which makes the algorithm fit for use in many domains. The algorithm operates in real-time, giving the results immediately. Finally, we present results from an expert evaluation, in which a professional illustrator has evaluated the label layouts produced with the proposed algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "cmolik-2020-tvcg-image.png", "type": "image/png", "size": 47074, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1246, 1782, 1464, 1579 ], "doi": "10.1109/TVCG.2020.3027368", "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)", "pages_from": "1", "pages_to": "14", "volume": "x", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "cmolik-2020-tvcg-image.png", "type": "image/png", "size": 47074, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "cmolik-2020-tvcg-paper.pdf", "type": "application/pdf", "size": 12960199, "path": "Publication:cmolik-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/", "__class": "Publication" }, { "id": "kouril-2018-LoL", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments", "date": "2019-01", "abstract": "Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target cases where many instances of dozens of types are present and where the hierarchical structure of the objects in the scene presents an opportunity to choose the most suitable level for each placed label. Our solution builds on and goes beyond labeling techniques in medical 3D visualization, cartography, and biological illustrations from books and prints. In contrast to these techniques, the main characteristics of our new technique are: 1) a novel way of labeling objects as part of a bigger structure when appropriate, 2) visual clutter reduction by labeling only representative instances for each type of an object, and a strategy of selecting those. The appropriate level of label is chosen by analyzing the scene's depth buffer and the scene objects' hierarchy tree. We address the topic of communicating the parent-children relationship between labels by employing visual hierarchy concepts adapted from graphic design. Selecting representative instances considers several criteria tailored to the character of the data and is combined with a greedy optimization approach. We demonstrate the usage of our method with models from mesoscale biology where these two characteristics-multi-scale and multi-instance-are abundant, along with the fact that these scenes are extraordinarily dense.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 580, "image_height": 416, "name": "kouril-2018-LoL-preview.png", "type": "image/png", "size": 528337, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1383, 1246, 1248, 1464, 1379, 1365, 1475, 166, 171 ], "cfp": { "name": "IEEE VIS 2018.pdf", "type": "application/pdf", "error": "0", "size": "91184", "orig_name": "IEEE VIS 2018.pdf", "ext": "pdf" }, "date_from": "2018-11", "date_to": "2018-03", "doi": "10.1109/TVCG.2018.2864491", "event": "IEEE VIS", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1383 ], "location": "Berlin, Germany", "note": "SciVis Best Paper Honorable Mention", "open_access": "yes", "pages_from": "977", "pages_to": "986", "volume": "25", "research_areas": [], "keywords": [ "labeling", "multi-scale data", "multi-instance data" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=zqJmJfaLiDw", "caption": "Process video", "description": "Video showing the progress of the implementation of the method described in the paper.", "main_file": 0 }, { "href": "https://vimeo.com/303245396", "caption": "Conference Talk Recording", "description": "Recording of the talk delivered at IEEE VIS 2018 in Berlin", "main_file": 1 } ], "files": [ { "description": "Conference presentation of the paper", "filetitle": "LoL-conference-presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2018-LoL-LoL-conference-presentation.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 202678696, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-LoL-conference-presentation.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kouril-2018-LoL-paper.pdf", "type": "application/pdf", "size": 18362171, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "preview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 580, "image_height": 416, "name": "kouril-2018-LoL-preview.png", "type": "image/png", "size": 528337, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1272, "image_height": 416, "name": "kouril-2018-LoL-teaser.png", "type": "image/png", "size": 1506129, "path": "Publication:kouril-2018-LoL", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Illustrare", "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/", "__class": "Publication" }, { "id": "mizuno-2019-eurovis", "type_id": "journalpaper", "tu_id": 282848, "repositum_id": null, "title": "Optimizing Stepwise Animation in Dynamic Set Diagrams", "date": "2019-07-10", "abstract": "A set diagram represents the membership relation among data elements. It is often visualized as secondary information on top of primary information, such as the spatial positions of elements on maps and charts. Visualizing the temporal evolution of such set diagrams as well as their primary features is quite important; however, conventional approaches have only focused on the temporal behavior of the primary features and do not provide an effective means to highlight notable transitions within the set relationships. This paper presents an approach for generating a stepwise animation between set diagrams by decomposing the entire transition into atomic changes associated with individual data elements. The key idea behind our approach is to optimize the ordering of the atomic changes such that the synthesized animation minimizes unwanted set occlusions by considering their depth ordering and reduces the gaze shift between two consecutive stepwise changes. Experimental results and a user study demonstrate that the proposed approach effectively facilitates the visual identification of the detailed transitions inherent in dynamic set diagrams.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "mizuno-2019-eurovis-image.png", "type": "image/png", "size": 100164, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1674, 1464, 1580, 1040 ], "cfp": { "name": "eurovis2019.pdf", "type": "application/pdf", "error": "0", "size": "37147", "orig_name": "eurovis2019.pdf", "ext": "pdf" }, "date_from": "2019", "date_to": "2019", "doi": "https://doi.org/10.1111/cgf.13668", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1674 ], "note": "Best Paper Honorable Mention at EuroVis 2019", "pages_from": "13", "pages_to": "24", "volume": "38", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://youtu.be/dMphkr6nAHQ", "caption": "video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "mizuno-2019-eurovis-image.png", "type": "image/png", "size": 100164, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mizuno-2019-eurovis-paper.pdf", "type": "application/pdf", "size": 20180512, "path": "Publication:mizuno-2019-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/", "__class": "Publication" }, { "id": "Purchase-2020-gd", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58252", "title": "The Turing Test for Graph Drawing Algorithms", "date": "2020-09", "abstract": "DoalgorithmsfordrawinggraphspasstheTuringTest?That is, are their outputs indistinguishable from graphs drawn by humans? We address this question through a human-centred experiment, focusing on ‘small’ graphs, of a size for which it would be reasonable for someone to choose to draw the graph manually. Overall, we find that hand-drawn layouts can be distinguished from those generated by graph drawing al- gorithms, although this is not always the case for graphs drawn by force- directed or multi-dimensional scaling algorithms, making these good can- didates for Turing Test success. We show that, in general, hand-drawn graphs are judged to be of higher quality than automatically generated ones, although this result varies with graph size and algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Purchase-2020-gd-image.png", "type": "image/png", "size": 29720, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1623, 1619, 1783, 1579, 1784, 1464 ], "booktitle": "Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD2020)", "cfp": { "name": "gd20-cfp.pdf", "type": "application/pdf", "error": "0", "size": "182950", "orig_name": "gd20-cfp.pdf", "ext": "pdf" }, "event": "28th International Symposium on Graph Drawing and Network Visualization ", "lecturer": [ 1623 ], "pages_from": "1", "pages_to": "16", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Purchase-2020-gd-image.png", "type": "image/png", "size": 29720, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Purchase-2020-gd-paper.pdf", "type": "application/pdf", "size": 3933269, "path": "Publication:Purchase-2020-gd", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/", "__class": "Publication" }, { "id": "rinortner_susanne-2019-vpicc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visualizing Protein Interactions in Corresponding Compartments", "date": "2019-10-16", "abstract": "The visualization of networks for protein interactions is an important step to understand them. There are already many approaches for this task, but most of them do not show any information about the compartment of the cell the proteins belong to. Since the placement of proteins inside a cell is important information, because it helps to understand their interactions, this thesis proposes a method to visualize protein inside cell compartments. The objective of this project is a clear and understandable visualization of interactions between proteins and where these interactions or reactions happen inside the cell. This project uses a three-dimensional model of a cell as a base and intersects it using cutting planes. Then the intersection surface is sampled and reconstructed using Delaunay triangulation. To the mesh created by the triangulation, a force-directed algorithm is applied. This algorithm is used to scale single-cell parts in order to fit all proteins inside. This ensures that none of the cell parts get overfilled. The result is a new method that makes it possible to visualize not only protein-protein interactions but also in which compartment of the cell the proteins are located.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1650, "image_height": 832, "name": "rinortner_susanne-2019-vpicc-image.png", "type": "image/png", "size": 864375, "path": "Publication:rinortner_susanne-2019-vpicc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1704 ], "date_end": "2019-10-15", "date_start": "2019-03-05", "matrikelnr": "01526772", "supervisor": [ 1464 ], "research_areas": [ "BioVis" ], "keywords": [ "Biological pathways" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1650, "image_height": 832, "name": "rinortner_susanne-2019-vpicc-image.png", "type": "image/png", "size": 864375, "path": "Publication:rinortner_susanne-2019-vpicc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rinortner_susanne-2019-vpicc-thesis.pdf", "type": "application/pdf", "size": 21289575, "path": "Publication:rinortner_susanne-2019-vpicc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/", "__class": "Publication" }, { "id": "Sbardellati-2019-vcbm", "type_id": "inproceedings", "tu_id": 282838, "repositum_id": null, "title": "Interactive Exploded Views for Molecular Structures", "date": "2019-09-03", "abstract": "We propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component relationships. Exploded views are excellently suited to manage visual occlusion of structure components, which is one of the main challenges when visualizing complex 3D data. In this paper, we discuss four key parameters of an exploded view: explosion distance, direction, order, and the selection of explosion components. We propose two strategies, namely the structure-derived exploded view and the interactive free-form exploded view, for computing these four parameters systematically. The first strategy allows scientists to automatically create exploded views by computing the parameters from the given object structures. The second strategy further supports them to design and customize detailed explosion paths through user interaction. Our approach features the possibility to animate exploded views, to incorporate ease functions into these animations and to display the explosion path of components via arrows. Finally, we demonstrate three use cases with various challenges that we investigated in collaboration with a domain scientist. Our approach, therefore, provides interesting new ways of investigating and presenting the design layout and composition of complex molecular structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1555, 1263, 1464, 166, 1473, 171 ], "booktitle": "Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "vcbm2019.pdf", "type": "application/pdf", "error": "0", "size": "270183", "orig_name": "vcbm2019.pdf", "ext": "pdf" }, "event": "VCBM 2019", "lecturer": [ 1555 ], "pages_from": "103", "pages_to": "112", "research_areas": [ "BioVis", "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "Sbardellati-2019-vcbm-image.png", "type": "image/png", "size": 46683, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-paper.pdf", "type": "application/pdf", "size": 9377764, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Sbardellati-2019-vcbm-video.mp4", "type": "video/mp4", "size": 164367569, "path": "Publication:Sbardellati-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/", "__class": "Publication" }, { "id": "wu-2017-dagstuhl", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Mapifying the Genome, Scalable Set Visualizations (Dagstuhl Seminar 17332)", "date": "2018", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1677, 1678, 1679, 1464 ], "number": "TR-193-02-2018-2", "open_access": "yes", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://doi.org/10.4230/DagRep.7.8.1", "caption": "Dagstuhl Seminar 17332", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2017-dagstuhl-paper.pdf", "type": "application/pdf", "size": 3647552, "path": "Publication:wu-2017-dagstuhl", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/", "__class": "Publication" }, { "id": "wu-2018-JVLC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Overlap-Free Labeling of Clustered Networks Based on Voronoi Tessellation", "date": "2018-02", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1580, 1581 ], "journal": "Journal of Visual Languages & Computing", "number": "44", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-JVLC-paper.pdf", "type": "application/pdf", "size": 6440310, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-JVLC-teaser.png", "type": "image/png", "size": 23010, "path": "Publication:wu-2018-JVLC", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/", "__class": "Publication" }, { "id": "wu-2018-metabo", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways", "date": "2018-06", "abstract": "This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the human body, have been increasingly investigated due to the development of analysis processes and are compiled into pathway diagrams to provide an overview of reaction in the human body. This complex network includes about 5,000 metabolites and 7,500 reactions, which are hierarchically nested and difficult to visualize. We collect and analyze well-known human metabolic pathway diagrams, and summarize the design choices of these diagrams, respectively. Together with a machine-generated diagram, we can understand the visual complexity of three hand-drawn and one machine-generated diagrams.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "eurovis2018-poster.pdf", "type": "application/pdf", "error": "0", "size": "35735", "orig_name": "eurovis2018-poster.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EuroVis", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 566, "image_height": 800, "name": "wu-2018-metabo-image.png", "type": "image/png", "size": 677575, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-metabo-poster.pdf", "type": "application/pdf", "size": 85587001, "path": "Publication:wu-2018-metabo", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/", "__class": "Publication" }, { "id": "wu-2018-shonan", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Lost in Translation: Alignment of Mental Representations for Visual Analytics, Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting Seminar 127)", "date": "2018-12", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1619, 1680, 1681, 1682, 1683, 1684, 1464 ], "number": "TR-193-02-2018-1", "open_access": "yes", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-shonan-paper.pdf", "type": "application/pdf", "size": 1672636, "path": "Publication:wu-2018-shonan", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/", "__class": "Publication" }, { "id": "wu-2018-story", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "The Travel of a Metabolite", "date": "2018-04", "abstract": "Biological pathways are chains of molecule interactions and reactions in biological systems that jointly form complex, hierarchical networks. Although several pathway layout algorithms have been investigated, biologists still prefer to use hand-drawn ones, due to their high visual quality relied on domain knowledge. In this project, we propose a visualization for computing metabolic pathway maps that restrict the grouping structure defined by biologists to rectangles and apply orthogonal-style edge routing to simplify edge orientation. This idea is inspired by concepts from urban planning, where we consider reactions as city blocks and built up roads to connect identical metabolites occurred in multiple categories. We provide a story to present how glucose is broken down to phosphoenolpyruvate to release energy, which is often stored in adenosine triphosphate (ATP) in a human body. Finally, we demonstrate ATP is also utilized to synthesize urea to eliminate the toxic ammonia in our body.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "note": "submitted to PacificVis 2018 Data Story Telling Contest", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://vimeo.com/258174044", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2018-story-image.png", "type": "image/png", "size": 91891, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-paper.pdf", "type": "application/pdf", "size": 601059, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2018-story-video.mov", "type": "video/quicktime", "size": 15567398, "path": "Publication:wu-2018-story", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/", "__class": "Publication" }, { "id": "wu-2019-bmc", "type_id": "journalpaper_notalk", "tu_id": 280645, "repositum_id": null, "title": "Metabopolis: Scalable Network Layout for Biological Pathway Diagrams in Urban Map Style", "date": "2019-05-15", "abstract": "Background\nBiological pathways represent chains of molecular interactions in biological systems that jointly form complex dynamic networks. The network structure changes from the significance of biological experiments and layout algorithms often sacrifice low-level details to maintain high-level information, which complicates the entire image to large biochemical systems such as human metabolic pathways.\n\nResults\nOur work is inspired by concepts from urban planning since we create a visual hierarchy of biological pathways, which is analogous to city blocks and grid-like road networks in an urban area. We automatize the manual drawing process of biologists by first partitioning the map domain into multiple sub-blocks, and then building the corresponding pathways by routing edges schematically, to maintain the global and local context simultaneously. Our system incorporates constrained floor-planning and network-flow algorithms to optimize the layout of sub-blocks and to distribute the edge density along the map domain. We have developed the approach in close collaboration with domain experts and present their feedback on the pathway diagrams based on selected use cases.\n\nConclusions\nWe present a new approach for computing biological pathway maps that untangles visual clutter by decomposing large networks into semantic sub-networks and bundling long edges to create space for presenting relationships systematically.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 1673, 171 ], "doi": "http://doi.org/10.1186/s12859-019-2779-4", "journal": "BMC Bioinformatics", "number": "187", "pages_from": "1", "pages_to": "20", "volume": "20", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "Biological pathways", "Graph drawing", "Mapmetaphor", "Orthogonallayout", "Floorplanning", "Edgerouting" ], "weblinks": [ { "href": "https://www.youtube.com/watch?v=AhWCIGTxqAg", "caption": "video", "description": null, "main_file": 1 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-bmc-image.png", "type": "image/png", "size": 107492, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-bmc-paper.pdf", "type": "application/pdf", "size": 8528804, "path": "Publication:wu-2019-bmc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/", "__class": "Publication" }, { "id": "wu-2019-report", "type_id": "techreport", "tu_id": 283365, "repositum_id": null, "title": "From Cells to Atoms - Biological Information Visualization (in Chinese)", "date": "2019-03-01", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1263, 171 ], "number": "TR-193-02-2019-1", "open_access": "no", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [], "weblinks": [ { "href": "https://dl.ccf.org.cn/institude/institudeDetail?id=4320599515842560&_ack=1", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-report-paper.pdf", "type": "application/pdf", "size": 8399742, "path": "Publication:wu-2019-report", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/", "__class": "Publication" }, { "id": "wu-2019-smw", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": " A Survey on Computing Schematic Network Maps: The Challenge to Interactivity", "date": "2019-04-11", "abstract": "Schematic maps are in daily use to show the connec- tivity of subway systems and to facilitate travellers to plan their journeys effectively. This study surveys up-to-date algorithmic approaches in order to give an overview of the state of the art in schematic network mapping. The study investigates the hypothesis that the choice of algorithmic approach is often guided by the requirements of the mapping application. For example, an algorithm that computes globally optimal solutions for schematic maps is capable of producing results for printing, while it is not suitable for computing instant layouts due to its long running time. Our analysis and discussion, therefore, focus on the compu- tational complexity of the problem formulation and the running times of the schematic map algorithms, including algorithmic network layout techniques and station labeling techniques. The correlation between problem complexity and running time is then visually depicted using scatter plot diagrams. Moreover, since metro maps are common metaphors for data visualization, we also investigate online tools and application domains using metro map representations for analytics purposes, and finally summarize the potential future opportunities for schematic maps.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-smw-image.png", "type": "image/png", "size": 36787, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1675, 1580, 1579 ], "cfp": { "name": "sm2019.pdf", "type": "application/pdf", "error": "0", "size": "78789", "orig_name": "sm2019.pdf", "ext": "pdf" }, "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-position-5.pdf", "event": "The 2nd Schematic Mapping Workshop 2019", "lecturer": [ 1464 ], "location": "Vienna, Austria", "research_areas": [ "InfoVis" ], "keywords": [ "Metro Maps", "Graph Drawing", "Metaphors" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-smw-image.png", "type": "image/png", "size": 36787, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-smw-paper.pdf", "type": "application/pdf", "size": 2849219, "path": "Publication:wu-2019-smw", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/", "__class": "Publication" }, { "id": "wu-2019-vcbm", "type_id": "unknown", "tu_id": null, "repositum_id": null, "title": "Map of Metabolic Harmony", "date": "2019-09-03", "abstract": "As the human body is healthy when the\nmetabolic harmony is maintained, the human metabolic pathways are\ninterpretable when its visual representation is harmonized. We\ndeveloped an automatic approach to hierarchically decompose the screen\nspace to multiple functional regions and embed sub-pathways into their\ncorresponding regions to unveil complex metabolite relationships.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-vcbm-image.png", "type": "image/png", "size": 109418, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image-full", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 8878, "image_height": 6919, "name": "wu-2019-vcbm-image-full.png", "type": "image/png", "size": 15607607, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-vcbm-image.png", "type": "image/png", "size": 109418, "path": "Publication:wu-2019-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/", "__class": "Publication" }, { "id": "wu-2019-visworkshop", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges", "date": "2019-10-20", "abstract": "The concept of multilayer networks has become recently integrated into complex systems modeling since it encapsulates a very general concept of complex relationships. Biological pathways are an exam- ple of complex real-world networks, where vertices represent biolog- ical entities, and edges indicate the underlying connectivity. For this reason, using multilayer networks to model biological knowledge allows us to formally cover essential properties and theories in the field, which also raises challenges in visualization. This is because, in the early days of pathway visualization research, only restricted types of graphs, such as simple graphs, clustered graphs, and others were adopted. In this paper, we revisit a heterogeneous definition of biological networks and aim to provide an overview to see the gaps between data modeling and visual representation. The contribution will, therefore, lie in providing guidelines and challenges of using multilayer networks as a unified data structure for the biological pathway visualization.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-visworkshop-image.png", "type": "image/png", "size": 22606, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "cfp": { "name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf", "type": "application/pdf", "error": "0", "size": "508927", "orig_name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf", "ext": "pdf" }, "event": "Vis 2019 Workshop", "lecturer": [ 1464 ], "location": "Canada", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Graph drawing", "multilayer network", "biological pathway" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2019-visworkshop-image.png", "type": "image/png", "size": 22606, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2019-visworkshop-paper.pdf", "type": "application/pdf", "size": 252096, "path": "Publication:wu-2019-visworkshop", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/", "__class": "Publication" }, { "id": "wu-2020-tvcg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/140950", "title": "Multi-level Area Balancing of Clustered Graphs", "date": "2020-11-17", "abstract": "We present a multi-level area balancing technique for laying out clustered graphs to facilitate a comprehensive understanding of the complex relationships that exist in various fields, such as life sciences and sociology. Clustered graphs are often used to model relationships that are accompanied by attribute-based grouping information. Such information is essential for robust data analysis, such as for the study of biological taxonomies or educational backgrounds. Hence, the ability to smartly arrange textual labels and packing graphs within a certain screen space is therefore desired to successfully convey the attribute data . Here we propose to hierarchically partition the input screen space using Voronoi tessellations in multiple levels of detail. In our method, the position of textual labels is guided by the blending of constrained forces and the forces derived from centroidal Voronoi cells. The proposed algorithm considers three main factors: (1) area balancing, (2) schematized space partitioning, and (3) hairball management. We primarily focus on area balancing, which aims to allocate a uniform area for each textual label in the diagram. We achieve this by first untangling a general graph to a clustered graph through textual label duplication, and then coupling with spanning-tree-like visual integration. We illustrate the feasibility of our approach with examples and then evaluate our method by comparing it with well-known conventional approaches and collecting feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-tvcg-image.png", "type": "image/png", "size": 85239, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1464, 1579, 171 ], "doi": "https://doi.org/10.1109/TVCG.2020.3038154", "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)", "open_access": "yes", "pages_from": "1", "pages_to": "15", "volume": "x", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "Graph drawing", "Voronoi tessellation", "multi-level", "spatially-efficient layout" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "wu-2020-tvcg-image.png", "type": "image/png", "size": 85239, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-tvcg-paper.pdf", "type": "application/pdf", "size": 48103600, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "wu-2020-tvcg-video.mov", "type": "video/quicktime", "size": 12802528, "path": "Publication:wu-2020-tvcg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:video.mp4" } ], "projects_workgroups": [ "BioNetIllustration" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/", "__class": "Publication" }, { "id": "YOGHOURDJIAN2019", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring the limits of complexity: A survey of empirical studies ongraph visualisation", "date": "2019-01-06", "abstract": "For decades, researchers in information visualisation and graph drawing\nhave focused on developing techniques for the layout and display of very\nlarge and complex networks. Experiments involving human participants\nhave also explored the readability of different styles of layout and\nrepresentations for such networks. In both bodies of literature,\nnetworks are frequently referred to as being ‘large’ or ‘complex’, yet\nthese terms are relative. From a human-centred, experiment\npoint-of-view, what constitutes ‘large’ (for example) depends on several\nfactors, such as data complexity, visual complexity, and the technology\nused. In this paper, we survey the literature on human-centred\nexperiments to understand how, in practice, different features and\ncharacteristics of node–link diagrams affect visual complexity.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "YOGHOURDJIAN2019-image.png", "type": "image/png", "size": 40040, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1618, 1619, 1620, 1621, 1622, 1623, 1464 ], "doi": "https://doi.org/10.1016/j.visinf.2018.12.006", "issn": "2468-502X", "journal": "Visual Informatics", "number": "4", "open_access": "yes", "pages_from": "264", "pages_to": "282", "volume": "2", "research_areas": [ "InfoVis" ], "keywords": [ "Graph visualisation", "Network visualisation", "node–link diagrams", "Evaluations", "Empirical studies", "Cognitive scalability" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 256, "image_height": 192, "name": "YOGHOURDJIAN2019-image.png", "type": "image/png", "size": 40040, "path": "Publication:YOGHOURDJIAN2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, 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"Vasylevska_Khrystyna-2019-TEFVR", "Vasylevska2020VRB", "Vonach021", "wimmer-2022-acd" ], "publications_first": [], "project_leader": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "publication_field": [ { "publ_id": "adolf-2019-jug", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Bayer_Alexander_2021_FTiVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kan-2019-dli", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "koessler-2021-i3d", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kovacs_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mirzaei_Mohammadreza_2020-EVR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "podkosova-2019-MVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Prossenitsch_2019-1", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schlager-2021-ddo", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schuller_reichl-2019-avt", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schwaerzler_2018_phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Sprung_2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "unterguggenberger-2016-realmar", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wang-sukalia-2022-mom", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=378", "__class": "Author" }, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/Gebäudesoftskills", "__class": "Project", "workgroup": { "id": "vr", "drupal_id": 1358, "name": "Virtual Reality Group", "website": "https://www.cg.tuwien.ac.at/group/Virtual-Reality-Group", "projects": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "research_areas": [], "publications": [ "adolf-2019-jug", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "kan-2019-dli", "Kovacs_2020", "Mirzaei_Mohammadreza_2020-EVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "Sprung_2021", "Vasylevska_Khrystyna-2019-TEFVR" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vr", "__class": "Workgroup" } }, { "id": "deskollage", "workgroup_id": "vis", "drupal_id": 4198, "drupal_path": "/research/projects/deskollage", "name": "Visual Information Foraging on the Desktop", "name_de": null, "short_title": "deskollage", "website": null, "status": "active", "short_abstract": "The goal of this project is to design and develop novel interactive visualization techniques to support knowledge workers in making sense of their unstructured, dynamic information collections. ", "abstract": "Knowledge workers, such as scientists, journalists, or consultants, adaptively seek, gather, and consume information. Initially, knowledge workers may not even know what exactly they are looking for. Only after investigating more and more information, they develop a more concrete mental picture. These “information foraging” and “sensemaking” processes are often inefficient as existing user interfaces provide limited possibilities to combine information from various sources and different formats into a common knowledge representation. The goal of this project was to facilitate such knowledge-intensive tasks through user interfaces that combine manual organization strategies, such as piling of papers and text annotations, with powerful automatic data processing to reveal hidden relations in the collected data.\n \nThis project led to multiple novel user interface concepts that support knowledge-intensive tasks. For instance, visual query expansion is an extension to a search engine that visualizes the effects of suggested variations on an online query result to help users to refine their query terms. The information collage lets users capture information fragments from any online sources, which can then be freely recomposed into a common knowledge representation. Natural language processing helps users to identify common topics in their collage. BiCFlows helps users to discover hidden relations in very large information collections. For instance, they can explore which authors tend to contribute to similar topics. \n\nThe user interfaces served as foundation for empirical research with users from different knowledge work domains. This research provided new insights into the strengths but also the limitations of interactive visualization for information foraging and sensemaking. On the one hand, the studies show that, in some situations, interactive visualization can be less efficient than working with unprocessed text-based information. On the other hand, the studies also show that combining automatic data analysis with interactive visualization can lead to more unexpected findings, especially when exploring large data. The extent of manual information organization varies with the task: the less users know about the gathered information, the more automatic organization they expect. \n\nIn summary, this project contributed novel user interface concepts and design guidelines for user interfaces supporting information foraging and sensemaking. The techniques and study results were published at high-ranking peer-reviewed venues, and it can be expected that the findings of this project shape the way how users seek and organize their information in the future. \n\n", "start_date": "2015-12-01", "end_date": "2018-12-31", "leader_id": { "id": 1110, "drupal_id": 625, "orcid_id": "0000-0003-1387-5132", "website": "https://www.cg.tuwien.ac.at/staff/ManuelaWaldner", "firstname": "Manuela", "lastname": "Waldner", "searchname": "Manuela Waldner", "is_teacher": true, "name": "Manuela Waldner", "publications": [ "2019-ic", "aigner-2025-vhv", "Alharbi_2021", "bayat-2024-awt", "bernhard-2016-gft", "boffi-2024-bagginghook", "byska-2019-mdfc", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "geymayer-2017-std", "grammatikaki-2025-htr", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "heim-2024-accustripes", "indirectBiasLanguageModels-2023", "komon-2025-dco", "komon-2025-webigeo", "lemuzic_2014_ipv", 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4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
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"STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [ { "id": "2019-ic", "type_id": "techreport", "tu_id": 282845, "repositum_id": null, "title": "Collecting and Structuring Information in the Information Collage", "date": "2019-08", "abstract": "Knowledge workers, such as scientists, journalists, or consultants, adaptively seek, gather, and consume information. These processes are often inefficient as existing user interfaces provide limited possibilities to combine information from various sources and different formats into a common knowledge representation. In this paper, we present the concept of an information collage (IC) -- a web browser extension combining manual spatial organization of gathered information fragments and automatic text analysis for interactive content exploration and expressive visual summaries. We used IC for case studies with knowledge workers from different domains and longer-term field studies over a period of one month. We identified three different ways how users collect and structure information and provide design recommendations how to support these observed usage strategies. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1243, "image_height": 832, "name": "2019-ic-teaser.png", "type": "image/png", "size": 279699, "path": "Publication:2019-ic", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1211, 1690, 1110 ], "number": "TR-193-02-2019-2", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://arxiv.org/abs/1909.00608", "caption": "arXiv report", "description": "Technical Report at arXiv", "main_file": 1 } ], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1243, "image_height": 832, "name": "2019-ic-teaser.png", "type": "image/png", "size": 279699, "path": "Publication:2019-ic", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "2019-ic-video.mp4", "type": "video/mp4", "size": 13549543, "path": "Publication:2019-ic", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/", "__class": "Publication" }, { "id": "byska-2019-mdfc", "type_id": "journalpaper", "tu_id": 283263, "repositum_id": null, "title": "Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization", "date": "2019-06", "abstract": "Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein dynamics and function. With increasing computational power, it is now possible to generate very long and complex simulations, which are cumbersome to explore using traditional 3D animations of protein movements. Guided by requirements derived from multiple focus groups with protein engineering experts, we designed and developed a novel interactive visual analysis approach for long and crowded MD simulations. In this approach, we link a dynamic 3D focus+context visualization with a 2D chart of time series data to guide the detection and navigation towards important spatio-temporal events. The 3D visualization renders elements of interest in more detail and increases the temporal resolution dependent on the time series data or the spatial region of interest. In case studies with different MD simulation data sets and research questions, we found that the proposed visual analysis approach facilitates exploratory analysis to generate, confirm, or reject hypotheses about causalities. Finally, we derived design guidelines for interactive visual analysis of complex MD simulation data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 717, "name": "byska-2019-mdfc-teaser.jpg", "type": "image/jpeg", "size": 95308, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1254, 1196, 1669, 1499, 1248, 1110 ], "cfp": { "name": "Eurovis 2019 CFP.pdf", "type": "application/pdf", "error": "0", "size": "91823", "orig_name": "Eurovis 2019 CFP.pdf", "ext": "pdf" }, "date_from": "2019-06-03", "date_to": "2019-06-07", "doi": "10.1111/cgf.13701", "event": "EuroVis 2019", "journal": "Computer Graphics Forum", "lecturer": [ 1254 ], "location": "Porto, Portugal", "number": "3", "pages_from": "441", "pages_to": "453", "volume": "38", "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "scientific visualization", "user centered design" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13701", "caption": "Wiley Online ", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "byska-2019-mdfc-paper.pdf", "type": "application/pdf", "size": 5805942, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-paper:thumb{{size}}.png" }, { "description": "Domain expert report of findings", "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "byska-2019-mdfc-supplement.pdf", "type": "application/pdf", "size": 2846584, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-supplement:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 783, "image_height": 717, "name": "byska-2019-mdfc-teaser.jpg", "type": "image/jpeg", "size": 95308, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "byska-2019-mdfc-video.mp4", "type": "video/mp4", "size": 222623560, "path": "Publication:byska-2019-mdfc", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/", "__class": "Publication" }, { "id": "casellato-2016-pkg", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Publication Database Keyword Graph", "date": "2016", "abstract": "cancelled bachelor thesis\n\n=========================\n\nThe aim of this project is to create an interactive keyword graph visualisation for a publications\ndatabase -- more precisely the database of the Computer Graphics Group of the Institute of Computer Graphics and Algorithms at the Vienna University of Technology. The keywords of the publications will be displayed in form of a network. This form of visualization provides an intuitive overview of the occurrence frequency of the varying\nkeywords, as well as depicting which keywords they tend to appear in conjunction with. Along with the graph the list of publications queried to construct the graph will also be provided. Moreover the keyword graph will allow the user a series of interactions, which serve to navigate the graph, and as a consequence also navigate the database. This will be reflected by\nshowing a refined list of publications with each new iteration of the graph, as the user interacts with it.\n\nThis kind of interactive overview allows for a much faster and intuitive browsing of the publications database. Moreover this project will allow to be scaled up to implement additional sorting factors for the database, other than just keywords, such as authors for example.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1360 ], "matrikelnr": "0926937", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "workplan", "main_file": false, "use_in_gallery": false, "access": "public", "name": "casellato-2016-pkg-workplan.pdf", "type": "application/pdf", "size": 190555, "path": "Publication:casellato-2016-pkg", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/casellato-2016-pkg/casellato-2016-pkg-workplan.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/casellato-2016-pkg/casellato-2016-pkg-workplan:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/casellato-2016-pkg/", "__class": "Publication" }, { "id": "cizmic-2018-evd", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Exploratory Data Visualization Dashboard for Technical Analysis of Commodity Market Indicators", "date": "2018-04", "abstract": "Companies and traders working in the commodity market encounter a variety of different\ndata sets, including numerous economic indicators. The analysis of those indicators and\ntheir connection to certain markets can lead to important insights. The understanding of\nthe market can be improved and predictions of the future market development can be\ncreated. However, dozens of economic indicators exist and one of the main challenges is\nto show a clear overview of the indicators and identify those, which show a correlation\nto a certain market. Software tools are often utilised in order to perform the analysis\nof financial markets. However, according to domain experts, they often hit the limit of\nhuman perception capabilities. This thesis focuses on the development of a prototypical\nweb application dashboard, which enables the user to analyse the relation between\na defined commodity market and different economic indicators. Besides the relation\nbetween one indicator and a given market, the possibility to interactively create one’s own\ncomposite indicator, for comparison with the given market, is implemented. The process\nof creating a composite indicator is another challenge as it requires numerous decisions to\nbe made. The dashboard therefore offers a platform for exploring the different composite\nindicator configurations. Moreover, the web-application provides also some visualization\nand interaction techniques, like highlighting, brushing and details-on-demand to enhance\nthe comparison process and amplify human cognition.", "authors_et_al": false, "substitute": null, "main_image": { "description": "composite indicator view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 909, "image_height": 378, "name": "cizmic-2018-evd-screenshot.PNG", "type": "image/png", "size": 63662, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1462 ], "date_end": "2018-04", "date_start": "2017-05", "matrikelnr": "1425788", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "composite indicator view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 909, "image_height": 378, "name": "cizmic-2018-evd-screenshot.PNG", "type": "image/png", "size": 63662, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "cizmic-2018-evd-thesis.pdf", "type": "application/pdf", "size": 2131622, "path": "Publication:cizmic-2018-evd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/", "__class": "Publication" }, { "id": "donabauer-2015-asc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Advanced Screen Capturing", "date": "2016", "abstract": "Creating a free-form screen shot to get what is needed is not trivial task. Moving the\nmouse cursor around the desired region to indicate the boundary of the screen snippet\noften yields jagged outlines in the result image. Furthermore, it is not that easy to fully\nexclude unnecessary screen elements during the selection process. As a consequence, the\ncreated screen shot may also contain some small portions of surrounded image elements\nwhich are unwanted in the result image or some areas may be accidentally truncated.\nTo overcome these limitations, Advanced Screen Capturing combines screen capture\nfunctionalities with image processing methods as an alternative way for creating free-form\nscreen shots. The selection of the desired screen region is done by roughly selecting\nthe needed image area. After extracting the highlighted screen region, a stroke mask\nis calculated for detecting the surrounded image elements by the drawn stroke. This\nstroke mask forms the basis for rejecting or accepting partly crossed image regions or\ntruncating large ones. The image regions for accepting and rejection are detected as\ncontours. By combining the stroke mask and the detected contours the segmentation\nmask is generated, where image regions are either fully included, fully rejected, or cut,\ndepending on their amount of overlays with the stroke mask. Based on the segmentation\nmask, the original captured screen shot is segmented. In the end, the calculated result\nimage contains all user defined relevant image information and adapted image boundaries.\nThe introduced screen capture and contour-based segmentation algorithm works best for\nscreen elements like text, charts, different kinds of shapes and a combination of these.\nAdvanced Screen Capturing can be used as a library for integration purposes in other\nsystems or as a stand alone desktop application. It was implemented by using C++ and\nQt Framework and the OpenCV library.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-.png", "type": "image/png", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1266 ], "date_end": "2016-07", "date_start": "2015-10", "matrikelnr": "1226287", "supervisor": [ 1110 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-.png", "type": "image/png", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "donabauer-2015-asc-thesis.pdf", "type": "application/pdf", "size": null, "path": "Publication:donabauer-2015-asc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/", "__class": "Publication" }, { "id": "dworschak-2016-szcm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Semantically Zoomable Choropleth Map", "date": "2016-09", "abstract": "Geographic visualizations, like choropleth maps, are used to visualize data on geographic\nregions. In this thesis a choropleth map was implemented to display quantities of\npublications of scientific texts and papers. With the use of a choropleth map the viewer\nis able to interpret how quantitative data changes on different geographic regions. The\nmain feature that distinguishes the implemented choropleth map from conventional ones\nis the use of map navigation. The choropleth map can be zoomed and panned to different\nmap regions. What makes this map navigation so special is the use of semantic zooming\nto allow the level of detail of the map to change on discrete zoom steps. The change\nof the level of detail means that administrative regions are being divided into smaller\nadministrative regions which are than again colorized individually to create a new, more\ndetailed, choropleth map. Other interactions with the choropleth map are introduced\nadditionally. The other interactions with the map range from the manipulation of the\nmap appearance to filtering the displayed data set.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 185, "name": "dworschak-2016-szcm-teaser.png", "type": "image/png", "size": 73351, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1353 ], "date_end": "2016-09", "date_start": "2016-05", "duration": "5 months", "matrikelnr": "1225883", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 185, "name": "dworschak-2016-szcm-teaser.png", "type": "image/png", "size": 73351, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dworschak-2016-szcm-thesis.pdf", "type": "application/pdf", "size": 6720884, "path": "Publication:dworschak-2016-szcm", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "illvisation", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/", "__class": "Publication" }, { "id": "edlinger-2018-vwr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visually Linking web search results with bookmarked information", "date": "2018-10", "abstract": "This work presents a new approach of regaining access to stored information and for the visualization of similarities between new information and locally stored data. The fact that bookmarks are cumbersome to use and that there is no possibility to compare web search results with local information motivates the concept of this thesis. The\nimplementation was done as Google Chrome extension and based on the ’Information\nCollage’ environment. In order to improve the perceived ease of use, the visualization was integrated in the search engine results page to avoid a context switch for the user. The\nvisualization uses a word cloud to display similarities and differences between remote and\nlocal information. The word cloud layout focuses on the spatial arrangment and the text\ncolour of the words to encode their association to the remote or the local information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 761, "image_height": 758, "name": "edlinger-2018-vwr-teaser.png", "type": "image/png", "size": 267653, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1465 ], "date_end": "2018-10", "date_start": "2017-06", "matrikelnr": "1027088", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 761, "image_height": 758, "name": "edlinger-2018-vwr-teaser.png", "type": "image/png", "size": 267653, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "edlinger-2018-vwr-thesis.pdf", "type": "application/pdf", "size": 9699891, "path": "Publication:edlinger-2018-vwr", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/", "__class": "Publication" }, { "id": "georgiev-2019-cbg", "type_id": "runmasterthesis", "tu_id": null, "repositum_id": null, "title": "Formal Comparison of Matrix- and List-Based Visualizations of Bipartite Graphs ", "date": "2019", "abstract": "Little is known which visual representation is suitable for different tasks and data characteristics. Answering this question is a complex task because it depends on many factors - size of the graph, graph density, degrees of the vertices, etc. To be able to suggest a suitable visual representation, parallel lists and biadjacency matrices are compared with respect to accuracy and effectiveness. In order to answer the question, a user study will be conducted with up to five independent variables. After the user study, quantitative measures of participants’ time and errors for each task will be analysed for both visualization techniques. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1668 ], "date_end": "2020-03", "date_start": "2019-07", "matrikelnr": "11727248 ", "supervisor": [ 1110, 166 ], "research_areas": [ "InfoVis", "Perception" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/georgiev-2019-cbg/", "__class": "Publication" }, { "id": "geymayer-2017-std", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "How Sensemaking Tools Influence Display Space Usage", "date": "2017-06", "abstract": "We explore how the availability of a sensemaking tool influences users’ knowledge externalization strategies. On a large display,\nusers were asked to solve an intelligence analysis task with or without a bidirectionally linked concept-graph (BLC) to organize\ninsights into concepts (nodes) and relations (edges). In BLC, both nodes and edges maintain “deep links” to the exact source\nphrases and sections in associated documents. In our control condition, we were able to reproduce previously described spatial\norganization behaviors using document windows on the large display. When using BLC, however, we found that analysts apply\nspatial organization to BLC nodes instead, use significantly less display space and have significantly fewer open windows.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 805, "image_height": 344, "name": "geymayer-2017-std-image.PNG", "type": "image/png", "size": 604999, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1477, 1110, 1476, 202 ], "booktitle": "EuroVis Workshop on Visual Analytics", "event": "EuroVis 2017", "lecturer": [ 1477 ], "research_areas": [ "InfoVis" ], "keywords": [ "sensemaking", "large displays", "evaluation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 805, "image_height": 344, "name": "geymayer-2017-std-image.PNG", "type": "image/png", "size": 604999, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "geymayer-2017-std-paper.pdf", "type": "application/pdf", "size": 1117995, "path": "Publication:geymayer-2017-std", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/", "__class": "Publication" }, { "id": "gundacker-2020-wlm", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Wilangyman - Eine Google-Chrome Erweiterung die Wikipedia-Artikel um fremdsprachliche Inhalte ergänzt", "date": "2020-04", "abstract": "Wikipedia-Artikel unterscheiden sich in den unterschiedlichen Sprachversionen oft in\nStruktur und Inhalt. Manche Informationen sind nicht in allen Sprachen verfügbar.\nDas hat zur Folge, dass NutzerInnen wichtige Daten aus der Online Enzyklopädie\nentgehen, wenn sie sich auf eine Sprache beschränken. Ziel von Wilangyman ist es, diese\nInformationen zusammenzuführen und sie in übersichtlicher Art dem Nutzer oder der\nNutzerin zu präsentieren. Die Artikel werden mittels Natural Language Processing (NLP)\nverglichen und und anhand ihrer Ähnlichkeiten miteinander verknüpft. Korrespondierende\nPassagen mit zusätzlichem Informationsgehalt werden absatzweise dargestellt. Inhaltliche\nRedundanzen sollen dabei vermieden werden.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 377, "name": "gundacker-2020-wlm-screenshot.png", "type": "image/png", "size": 132524, "path": "Publication:gundacker-2020-wlm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1649 ], "date_end": "2020-04", "date_start": "2019-04", "matrikelnr": "08908802", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 377, "name": "gundacker-2020-wlm-screenshot.png", "type": "image/png", "size": 132524, "path": "Publication:gundacker-2020-wlm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "gundacker-2020-wlm-thesis.pdf", "type": "application/pdf", "size": 1436642, "path": "Publication:gundacker-2020-wlm", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/", "__class": "Publication" }, { "id": "gusenbauer-2018", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Bitstream - A bottom-up/top-down hybrid approach for web-based visual analysis of big data", "date": "2018-05-14", "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions. To do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately\nwithout a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 237, "image_height": 113, "name": "gusenbauer-2018-image.JPG", "type": "image/jpeg", "size": 11712, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1257 ], "date_end": "2018-05-14", "date_start": "2016-11", "matrikelnr": "1125577", "supervisor": [ 1110, 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 237, "image_height": 113, "name": "gusenbauer-2018-image.JPG", "type": "image/jpeg", "size": 11712, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "gusenbauer-2018-Master thesis.pdf", "type": "application/pdf", "size": 12125980, "path": "Publication:gusenbauer-2018", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/", "__class": "Publication" }, { "id": "hromniak-2019-vcn", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of Natural Language Processing Pipelines", "date": "2019-01", "abstract": "Natural Language Processing comprises a variety of operations that can be applied on\nraw text to extract features. The sequence of operations is called NLP pipeline. However,\nthe sequence and parameters of these individual operations differ between applications.\nIn each step of the ongoing sequence, a single process is performed with a specialized task.\nSuch a task can be the determination of the end of sentences or the removal of so-called\nstop words. There is no best-practice which combination is most effective and accurate\nto determine the descriptive features (key words) of a single document. The goal of this\nbachelor thesis is to compute the features of different variations of NLP pipelines and\nvisualize them as basic word clouds. It is also important to know how the resulting word\ncloud of each pipeline is affected by varying the order of certain steps, adding steps or\nremoving steps. The presented interface gives an overview of performance and similarity\nvalues of each computed pipeline.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 486, "name": "hromniak-2019-vcn-screenshot.png", "type": "image/png", "size": 37562, "path": "Publication:hromniak-2019-vcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1556 ], "date_end": "2019-01", "date_start": "2018-04", "matrikelnr": "1425731", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": { "1": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 486, "name": "hromniak-2019-vcn-screenshot.png", "type": "image/png", "size": 37562, "path": "Publication:hromniak-2019-vcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "hromniak-2019-vcn-thesis.pdf", "type": "application/pdf", "size": 1302404, "path": "Publication:hromniak-2019-vcn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-thesis:thumb{{size}}.png" } }, "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/", "__class": "Publication" }, { "id": "Koszticsak-2017-ewt", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Generating Expressive Window Thumbnails through Seam Carving", "date": "2017", "abstract": "Thumbnails are used to display lists of open windows or tabs when switching between\nthem on computers and on mobile devices. These images make it easier to recognize the\nopened applications, and help to find the needed window quicker. Thumbnails however\nonly display a screenshot of the windows, so they get potentially confusing if there are\nmore opened windows or if the same application is opened multiple times. Depending\non the resolution of the display, the screenshot size decreases as the number of opened\nwindows increases. Furthermore, within the same application (like MS Office World)\nthe screenshots are similar in appearance (e.g. : white paper and tool bar), but the\nimportant text is not readable. There are several approaches that filter the important\nareas of the images to enhance the main region. In this bachelor thesis an application is\nimplemented that uses the above methods on screenshots. Screenshots of windows are\nreduced by cropping the irrelevant elements of the margin area using seam carving, i.e.\nby eliminating the non-important pixel paths; and by common down-sampling. As a\nresult the thumbnails show only relevant information, which makes them more expressive\nand easier to fulfill their purpose.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 858, "image_height": 481, "name": "Koszticsak-2017-ewt-.png", "type": "image/png", "size": 397429, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1351 ], "date_end": "2017-02", "date_start": "2016-06", "duration": "10 months", "matrikelnr": "1325492", "supervisor": [ 1110 ], "research_areas": [ "IllVis", "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 858, "image_height": 481, "name": "Koszticsak-2017-ewt-.png", "type": "image/png", "size": 397429, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Koszticsak-2017-ewt-thesis.pdf", "type": "application/pdf", "size": 51784684, "path": "Publication:Koszticsak-2017-ewt", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/", "__class": "Publication" }, { "id": "mazurek-2017-sio", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Stream I/O - An Interactive Visualization of Publication Data", "date": "2017", "abstract": "The publication database of the Institute of Computer Graphics and Algorithms can\ncurrently be queried by a simple UI which returns a list. Stream I/O, the application\nof this thesis, extends the interface to improve it in terms of overview, exploration and\nanalysis support. To cope with these shortcommings a visualization is added to the user\ninterface. As the publication database includes a lot of additional data attributes, a\nselection of attributes is used for the visualization to give further insight. By using the\nStreamgraph [BW08] visualization, the variations over time within attributes like authors,\npublication type and research areas are made visible. The focus of this visualization lies\nin showing individual attribute values while also conveying the sum. This relationship\nis depicted in a timeline, which allows a user to explore the past and current work of\nthe institute as well as to find relationships and trends in the publications. As the\nvisualization uses a timeline encoding, the directed flow from left to right is interpreted\nas the movement through time. It shows the evolution of different attributes, while the\noccurrence of a topic at a specific time is coded with the width of the layer at a specific\npoint. Searching the database is enriched through multiple viewpoints which give the user\ninsight how attributes relate in the underlying data and how the data is changing through\nhis/her manipulation. Selections of colored layers within the graph can represent bigger\ntrends and give insight into the data as a whole. The Stream I/O application invites\nusers to interactively explore the publication database, while simultaneously gaining new\ninsight through the visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1293, "image_height": 562, "name": "mazurek-2017-sio-.png", "type": "image/png", "size": 403642, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2017-03", "date_start": "2016-05", "duration": "4 months", "matrikelnr": "0123456", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1293, "image_height": 562, "name": "mazurek-2017-sio-.png", "type": "image/png", "size": 403642, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mazurek-2017-sio-thesis.pdf", "type": "application/pdf", "size": 4004622, "path": "Publication:mazurek-2017-sio", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/", "__class": "Publication" }, { "id": "mazurek-2017-vows", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualization of Thesaurus-Based Web Search", "date": "2017", "abstract": "The general functions of current web search engines are well established. A box is\nprovided in which to type the queries and the engine returns a result list which users can\nevaluate. The autocomplete suggestions assist users in defining their problems, however\nthere is a lack of support for an iterative manual refinement of the query. This additional\naid can be beneficial when users not know the exact terms to describe the concept they\nare looking for. Therefore, the goal of this project is to show searchers how a slight\nvariation of the query changes the results. With this information, they then can perform\na targeted refinement of the query to access useful information sources. To achieve this\ngoal, each part of the searcher’s query is varied with a thesaurus that provides synonyms\nfor the individual query terms. While performing the user’s original query in a normal\nfashion, variations of this query are conducted in the background. To provide a concise\nvisual summary of the query results, text mining techniques are performed on all gathered\nresults to retrieve the most important key terms for each query variation. This procedure\nresults in a visual overview of what the searcher’s query finds together with what could\nbe found with a slight variation of the query. Additional queries should make users aware\nthat alternative queries may be more appropriate when their original query is poorly\nformulated. In conjunction with some interaction tools, the goal is to reduce the burden\nof refining search queries and therefore making searching the web less complex.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 539, "name": "mazurek-2017-vows-teaser.PNG", "type": "image/png", "size": 405860, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2017-10", "date_start": "2017-08", "matrikelnr": "1126483", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mazurek-2017-vows-report.pdf", "type": "application/pdf", "size": 540973, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 814, "image_height": 539, "name": "mazurek-2017-vows-teaser.PNG", "type": "image/png", "size": 405860, "path": "Publication:mazurek-2017-vows", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/", "__class": "Publication" }, { "id": "mazurek-2018-vac", "type_id": "masterthesis", "tu_id": 282668, "repositum_id": null, "title": "Visual Active Learning for News Stream Classification", "date": "2019-10-10", "abstract": "In many domains, the sheer quantity of text documents that have to be parsed increases\ndaily. To keep up with this continuous text stream, a considerable amount of time has to be invested. We developed a classification interface for text streams that learns user-specific topics from the user’s labeling process and partitions the incoming data into these topics.\nCurrent approaches that try to derive content categorization from a vast number of unstructured text documents use pre-trained learning models to perform text classification.\nThese models assign predefined categories to the text according to its content. Depending on the use case, a user’s interests might not coincide with the given categories. The model cannot adapt to changing terminology that was not present during training. Besides these factors, users often do not trust pre-trained models as they are a black box for them.\nTo solve this problem, our application lets users define a classification problem and\ntrain a learning model through interaction with a Star Coordinates visualization. The\napproach that makes this interaction efficient is a variant of active learning. This active learning variant states that a learning model can achieve greater accuracy with fewer labeled training instances, if a user provides data purposefully from which it learns. We adapted this strategy for text stream classification by visualizing the topic affiliation probabilities of the learning model and providing novel interaction tools to enhance the model’s performance iteratively. By simulating different selection strategies common in active learning, we found that our visual selection strategies correspond closely to the classic active learning selection\nstrategies. Further, users performed on par with the best simulated selection strategies in the results from our preliminary user study. Our evaluation concludes that there are benefits from incorporating information visualization into the active learning process.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 668, "image_height": 638, "name": "mazurek-2018-vac-image.png", "type": "image/png", "size": 56667, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364 ], "date_end": "2019-10-10", "date_start": "2018-03", "matrikelnr": "0123456", "open_access": "yes", "supervisor": [ 1110, 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 668, "image_height": 638, "name": "mazurek-2018-vac-image.png", "type": "image/png", "size": 56667, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "mazurek-2018-vac-Master thesis.pdf", "type": "application/pdf", "size": 5490435, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Master thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Master thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "mazurek-2018-vac-Poster.pdf", "type": "application/pdf", "size": 1520895, "path": "Publication:mazurek-2018-vac", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/", "__class": "Publication" }, { "id": "mazurek-2018-veq", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualizing Expanded Query Results", "date": "2018-06", "abstract": "When performing queries in web search engines, users often face difficulties choosing appropriate query terms. Search engines\ntherefore usually suggest a list of expanded versions of the user query to disambiguate it or to resolve potential term mismatches.\nHowever, it has been shown that users find it difficult to choose an expanded query from such a list. In this paper, we describe\nthe adoption of set-based text visualization techniques to visualize how query expansions enrich the result space of a given\nuser query and how the result sets relate to each other. Our system uses a linguistic approach to expand queries and topic\nmodeling to extract the most informative terms from the results of these queries. In a user study, we compare a common text list\nof query expansion suggestions to three set-based text visualization techniques adopted for visualizing expanded query results\n– namely, Compact Euler Diagrams, Parallel Tag Clouds, and a List View – to resolve ambiguous queries using interactive\nquery expansion. Our results show that text visualization techniques do not increase retrieval efficiency, precision, or recall.\nOverall, users rate Parallel Tag Clouds visualizing key terms of the expanded query space lowest. Based on the results, we derive\nrecommendations for visualizations of query expansion results, text visualization techniques in general, and discuss alternative\nuse cases of set-based text visualization techniques in the context of web search.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Density-based compact Euler Diagram", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 919, "image_height": 656, "name": "mazurek-2018-veq-teaser.png", "type": "image/png", "size": 34882, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1364, 1110 ], "cfp": { "name": "EuroVis 2018 CfP.pdf", "type": "application/pdf", "error": "0", "size": "55844", "orig_name": "EuroVis 2018 CfP.pdf", "ext": "pdf" }, "date_from": "2018-06-04", "date_to": "2018-06-08", "event": "EG / VGTC Conference on Visualization (EuroVis)", "journal": "Computer Graphics Forum", "lecturer": [ 1364 ], "location": "Brno, Czech Republic", "pages_from": "87", "pages_to": "98", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Information visualization", "search interfaces", "empirical studies in visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazurek-2018-veq-paper.pdf", "type": "application/pdf", "size": 1891501, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper:thumb{{size}}.png" }, { "description": "Density-based compact Euler Diagram", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 919, "image_height": 656, "name": "mazurek-2018-veq-teaser.png", "type": "image/png", "size": 34882, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazurek-2018-veq-video.mp4", "type": "video/mp4", "size": 30231176, "path": "Publication:mazurek-2018-veq", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/", "__class": "Publication" }, { "id": "polatsek-2018-stv", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploring visual attention and saliency modeling for task-based visual analysis", "date": "2018-02", "abstract": "Memory, visual attention and perception play a critical role in the design of visualizations. The way users observe a visualization is affected by salient stimuli in a scene as well as by domain knowledge, interest, and the task. While recent saliency models manage to predict the users’ visual attention in visualizations during exploratory analysis, there is little evidence how much influence bottom-up saliency has on task-based visual analysis. Therefore, we performed an eye-tracking study with 47 users to determine the users’ path of attention when solving three low-level analytical tasks using 30 different charts from the MASSVIS database [1]. We also compared our task-based eye tracking data to the data from the original memorability experiment by Borkin et al. [2]. We found that solving a task leads to more consistent viewing patterns compared to exploratory visual analysis. However, bottom-up saliency of a visualization has negligible influence on users’ fixations and task efficiency when performing a low-level analytical task. Also, the efficiency of visual search for an extreme target data point is barely influenced by the target’s bottom-up saliency. Therefore, we conclude that bottom-up saliency models tailored towards information visualization are not suitable for predicting visual attention when performing task-based visual analysis. We discuss potential reasons and suggest extensions to visual attention models to better account for task-based visual analysis.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1545, 1110, 171, 1546, 1547 ], "doi": "https://doi.org/10.1016/j.cag.2018.01.010", "journal": "Computers & Graphics", "number": "2", "open_access": "no", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "Information visualization", "Eye-tracking experiment", "Saliency", "Visual attention", "Low-level analytical tasks" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S0097849318300104", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "graphical abstract", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 591, "image_height": 584, "name": "polatsek-2018-stv-graphical abstract.png", "type": "image/png", "size": 193042, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "polatsek-2018-stv-paper.pdf", "type": "application/pdf", "size": 3228380, "path": "Publication:polatsek-2018-stv", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/", "__class": "Publication" }, { "id": "samoul-2019-cnp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of NLP Pipelines", "date": "2019-04", "abstract": "Natural Language Processing (NLP) is a sub-field of artificial intelligence (AI). It enables computers to understand, process\nand analyze large amounts of unstructured natural language data (raw text). Nowadays with the new techniques of machine\nlearning, we got good performance and brings us closer to unfolding the semantic meaning of the text. However, it is far\nfrom perfect. Therefore, an alternative approach to helping humans understand a text corpus is to provide a visualization of the\ncontent. To generate such a visualization, several NLP steps are necessary to convert the raw text into features, such as weighted\nkeywords or phrases, that can be visualized. The words to be visualized and their weights strongly depend on which NLP steps\nare performed, in which order, and with which parameters. However, there is currently no standard how to set up such an\nNLP pipeline and NLP pipeline configurations vary significantly across visualizations and input texts. Our project consists of\nvisualizing high dimensional data with different pre-processing steps with a different order. To compare the results, we choose\na well-known and wide-spread overview visualization technique: word clouds. Word clouds are composed of words used in a\nparticular text or subject, in which the size of each word indicates its weight computed in the course of the NLP pipeline.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1599, "image_height": 754, "name": "samoul-2019-cnp-screenshot.jpg", "type": "image/jpeg", "size": 415531, "path": "Publication:samoul-2019-cnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1644 ], "date_end": "2019-04", "date_start": "2018-11", "matrikelnr": "11833154", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "samoul-2019-cnp-Report.pdf", "type": "application/pdf", "size": 538545, "path": "Publication:samoul-2019-cnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-Report:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1599, "image_height": 754, "name": "samoul-2019-cnp-screenshot.jpg", "type": "image/jpeg", "size": 415531, "path": "Publication:samoul-2019-cnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/", "__class": "Publication" }, { "id": "sietzen-2019-wnn", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Web-Interface for neural network feature visualization", "date": "2019-08", "abstract": "Excellent explanations of feature visualization already exist in the form of interactive articles, e.g. DeepDream, Feature Visualization, The Building Blocks of Interpretability, Activation Atlas, Visualizing GoogLeNet Classes. They mostly rely on curated prerendered visualizations, additionally providing colab notebooks or public repositories allowing the reader to reproduce those results. While precalculated visualizations have many advantages (directability, more processing budget), they are always discretized samples of a continuous parameter space. In the spirit of Tensorflow Playground, this project aims at providing a fully interactive interface to some basic functionality of the originally Python-based Lucid library, roughly corresponding to the concepts presented in the “Feature Visualization\" article. The user is invited to explore the effect of parameter changes in a playful way and without requiring any knowledge of programming, enabled by an implementation on top of TensorFlow.js. Live updates of the generated input image as well as feature map activations should give the user a visual intuition to the otherwise abstract optimization process. Further, this interface opens the domain of feature visualization to non-experts, as no scripting is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-2019-wnn-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373 ], "date_end": "2019-08", "date_start": "2019-04", "matrikelnr": "0372194", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://visxai.stefansietzen.at/", "caption": "VISxAI URL", "description": "Explainable URL, accepted for the IEEE VIS 2019 Workshop on Visualization for AI Explainability. ", "main_file": 1 }, { "href": "https://visxai.io/", "caption": "VISxAI workshop", "description": "2nd workshop on Visualization for AI Explainability in Vancover, Canada, October 21, 2019. ", "main_file": 0 }, { "href": "https://github.com/stefsietz/LucidPlayground", "caption": "LucidPlayground GitHub", "description": "Source code", "main_file": 0 } ], "files": [ { "description": "JSDoc, zipped", "filetitle": "documentation LucidPlayground", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sietzen-2019-wnn-documentation LucidPlayground.zip", "type": "application/x-zip-compressed", "size": 556043, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-documentation LucidPlayground.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-2019-wnn-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot:thumb{{size}}.png" }, { "description": "Submission video for VISxAI workshop. ", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "sietzen-2019-wnn-video.mp4", "type": "video/mp4", "size": 51123687, "path": "Publication:sietzen-2019-wnn", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video:video.mp4" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/", "__class": "Publication" }, { "id": "sietzen-ifv-2019", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "Interactive Feature Visualization in the Browser", "date": "2019-10", "abstract": "Excellent explanations of feature visualization already exist in the form of interactive articles, e.g. DeepDream, Feature Visualization, The Building Blocks of Interpretability, Activation Atlas, Visualizing GoogLeNet Classes. They mostly rely on curated prerendered visualizations, additionally providing colab notebooks or public repositories allowing the reader to reproduce those results. While precalculated visualizations have many advantages (directability, more processing budget), they are always discretized samples of a continuous parameter space. In the spirit of Tensorflow Playground, this project aims at providing a fully interactive interface to some basic functionality of the originally Python-based Lucid library, roughly corresponding to the concepts presented in the “Feature Visualization\" article. The user is invited to explore the effect of parameter changes in a playful way and without requiring any knowledge of programming, enabled by an implementation on top of TensorFlow.js. Live updates of the generated input image as well as feature map activations should give the user a visual intuition to the otherwise abstract optimization process. Further, this interface opens the domain of feature visualization to non-experts, as no scripting is required.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-ifv-2019-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-ifv-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1373, 1110 ], "booktitle": "Proceedings of the Workshop on Visualization for AI explainability (VISxAI)", "cfp": { "name": "2nd VISxAI Workshop at IEEE VIS 2019.pdf", "type": "application/pdf", "error": "0", "size": "409701", "orig_name": "2nd VISxAI Workshop at IEEE VIS 2019.pdf", "ext": "pdf" }, "editor": "El-Assady, Mennatallah and Chau, Duen Horng (Polo) and Hohman, Fred and Perer, Adam and Strobelt, Hendrik and Viégas, Fernanda", "event": "Workshop on Visualization for AI explainability (VISxAI) at IEEE VIS 2019", "lecturer": [ 1373 ], "location": "Vancouver", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://visxai.stefansietzen.at/", "caption": "Explainable URL", "description": "Peer-reviewed submission for the workshop. ", "main_file": 1 }, { "href": "https://visxai.io/", "caption": "VISxAI Workshop 2019", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 759, "image_height": 614, "name": "sietzen-ifv-2019-screenshot.png", "type": "image/png", "size": 293509, "path": "Publication:sietzen-ifv-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sietzen-ifv-2019-video.mp4", "type": "video/mp4", "size": 51123687, "path": "Publication:sietzen-ifv-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/", "__class": "Publication" }, { "id": "smiech-2018-tei", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Configurable Text Exploration Interface with NLP for Decision Support", "date": "2018-04", "abstract": "Having to read and understand lots of text documents and reports on a daily basis can\nbe quite challenging. The intended audience for these reports has limited resources and\nwants to reduce time spent on reading such reports. Therefore a need for a tool emerges\nthat assists the process of gaining relevant information out of reports/documents more\nquickly. These text documents are often unstructured and of varying length. They are\nwritten in the English language and are available from different sources (such as RSS\nfeeds and text files). The aim of this project is to offer a tool that supports the process of\nanalysing and understanding given texts. This is made possible by using natural language\nprocessing (NLP) and text visualization (TextVis). TextVis is already a well known and\nfrequently used solution. The herein described project uses an NLP pipeline which serves\nas preprocessing for TextVis. To provide quick insight into the data, topic extraction\nmechanisms like Latent Dirichlet Allocation (LDA) or Non-negative Matrix Factorization\n(NMF) are available for the user to be chosen within the aforementioned pipeline. A major\nchallenge for TextVis is the configuration of the NLP pipeline, because there are many\ndifferent ways of doing so and a wide range of parameters to chose from. To overcome this\nissue, this project provides a solution that enables users to easily configure and customize\ntheir own NLP pipeline. It is designed to encourage these users to experiment with\ndifferent sequences of NLP operations and parameter configurations to find a solution\nthat suites them best. In order to keep it easy to use the software, it is implemented\nentirely using web technologies to be accessible in a common web browser. The resulting\nvisualization will emphasize particular parts of the text based on a set of different factors,\nif selected so. These factors can be topics, sentiments and part-of-speech-tagged words.\nThe focus of this work lies on a visual interface that enables and encourages users to\nadjust/optimize the underlying NLP pipeline (by selecting steps and setting parameters)\nand comparing their results. Evaluation with help of user feedback showed that certain\npipeline configurations work better for certain types of texts than others. Using the\nsolution created within this work, users can adapt the tool to their needs and also tweak\nit according to requirements. There is no universal configuration that works for all\ndocuments, however.", "authors_et_al": false, "substitute": null, "main_image": { "description": "detail text view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 985, "image_height": 585, "name": "smiech-2018-tei-screenshot.PNG", "type": "image/png", "size": 125879, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1463 ], "date_end": "2018-04", "date_start": "2017-05", "matrikelnr": "01426853", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "detail text view", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 985, "image_height": 585, "name": "smiech-2018-tei-screenshot.PNG", "type": "image/png", "size": 125879, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "smiech-2018-tei-thesis.pdf", "type": "application/pdf", "size": 1305969, "path": "Publication:smiech-2018-tei", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/", "__class": "Publication" }, { "id": "steinboeck-2017-vbn", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Exploration Interface for Large Bipartite Networks", "date": "2018-05-30", "abstract": "In this thesis we introduce BiCFlows, a novel interactive visualization approach to explore large bipartite graphs. We were motivated by the Media Transparency Database, a public database established by the Austrian government to provide information about governmental advertising and subsidies expenses, which holds the characteristics of a large, weighted bipartite graph.\nCurrent approaches that deal with the visualization of the Media Transparency Database are limited by the fact that they do not offer a sufficient overview of the whole dataset. Other existing approaches that are not particularly designed for the Media Transparency Database, but deal with the visualization of bipartite graphs are in addition limited by their lack of scalability for large datasets.\nAggregation is an often used concept in reducing the amount of data by grouping together similar data objects. This only works if the appropriate object properties are present in the data to use them for the aggregation. If this additional information is missing, like in the Media Transparency Database, other aggregation techniques have to be used. Since we are dealing with bipartite graphs in our approach, we use the concept of biclustering to establish a hierarchical structure within the data that can be interactively explored by the user.\nWe showed that BiCFlows cannot only be used for the Media Transparency Database, but also for other datasets that share the characteristics of a weighted bipartite graph. Furthermore, we conducted an insight-based user study to compare BiCFlows with existing concepts and discussed advantages and drawbacks. We showed that BiCFlows supported users in their exploration process and let them gain more insight than with existing approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "sketch", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 649, "image_height": 462, "name": "steinboeck-2017-vbn-sketch.PNG", "type": "image/png", "size": 30764, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378 ], "date_end": "2018-05-30", "date_start": "2017-07", "matrikelnr": "0826088", "open_access": "yes", "supervisor": [ 166, 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Master Thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steinboeck-2017-vbn-Master Thesis.pdf", "type": "application/pdf", "size": 14008127, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steinboeck-2017-vbn-Poster.pdf", "type": "application/pdf", "size": 1309833, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster:thumb{{size}}.png" }, { "description": null, "filetitle": "sketch", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 649, "image_height": 462, "name": "steinboeck-2017-vbn-sketch.PNG", "type": "image/png", "size": 30764, "path": "Publication:steinboeck-2017-vbn", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/", "__class": "Publication" }, { "id": "steinboeck-2017-vefp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visualization of EU Funding Programmes", "date": "2017", "abstract": "To fund research and technological development, not only in Europe but all over the world, the European Union created so-called Framework Programmes. The data\nof these programmes, containing information about projects, corresponding topics,\nfunding sums, funding periods and recipient countries, is publicly available, but hard\nto analyze without visual support. Therefore, a multiple coordinated view approach is developed in course of this project. The different visualization techniques used, like bar charts, treemap, choropleth map and line graph, make it possible to filter, analyze and further explore the available data through brushing and linking. The project was developed in close collaboration with the end users of the Centre for Social Innovation and received an overall positive feedback from them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screen shot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 945, "name": "steinboeck-2017-vefp-screen shot.png", "type": "image/png", "size": 208713, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378 ], "date_end": "2017-02", "date_start": "2016-09", "matrikelnr": "0826088", "supervisor": [ 1110 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "screen shot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1920, "image_height": 945, "name": "steinboeck-2017-vefp-screen shot.png", "type": "image/png", "size": 208713, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png" }, { "description": null, "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "steinboeck-2017-vefp-technical report.pdf", "type": "application/pdf", "size": 518813, "path": "Publication:steinboeck-2017-vefp", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/", "__class": "Publication" }, { "id": "steinboeck-2018-lbg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering", "date": "2018-10", "abstract": "Bipartite graphs are typically visualized using linked\nlists or matrices. However, these classic visualization techniques\ndo not scale well with the number of nodes. Biclustering has\nbeen used to aggregate edges, but not to create linked lists\nwith thousands of nodes. In this paper, we present a new\ncasual exploration interface for large, weighted bipartite graphs,\nwhich allows for multi-scale exploration through hierarchical\naggregation of nodes and edges using biclustering in linked\nlists. We demonstrate the usefulness of the technique using two\ndata sets: a database of media advertising expenses of public\nauthorities and author-keyword co-occurrences from the IEEE\nVisualization Publication collection. Through an insight-based\nstudy with lay users, we show that the biclustering interface leads\nto longer exploration times, more insights, and more unexpected\nfindings than a baseline interface using only filtering. However,\nusers also perceive the biclustering interface as more complex.", "authors_et_al": false, "substitute": null, "main_image": { "description": "BiCFlows showing visualization authors and their key words", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 708, "image_height": 702, "name": "steinboeck-2018-lbg-teaser.png", "type": "image/png", "size": 137906, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1378, 166, 1110 ], "booktitle": "International Symposium on Big Data Visual and Immersive Analytics", "event": "4th International Symposium on Big Data Visual and Immersive Analytics", "lecturer": [ 1110 ], "location": "Konstanz, Germany", "organization": "IEEE", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "information visualization", "bipartite graphs", "biclustering", "insight-based evaluation" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/~waldner/bicflows/", "caption": "BiCFlows online", "description": "BiCFlows online for exploring Austria's media transparency database and the IEEE Visualization paper authors and their key words. ", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steinboeck-2018-lbg-paper.pdf", "type": "application/pdf", "size": 1871535, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper:thumb{{size}}.png" }, { "description": "BiCFlows showing visualization authors and their key words", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 708, "image_height": 702, "name": "steinboeck-2018-lbg-teaser.png", "type": "image/png", "size": 137906, "path": "Publication:steinboeck-2018-lbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/", "__class": "Publication" }, { "id": "trautner-2018-imd", "type_id": "masterthesis", "tu_id": null, "repositum_id": "20.500.12708/7274", "title": "Importance-Driven Exploration of Molecular Dynamics Simulations", "date": "2018-10-03", "abstract": "The aim of this thesis is a novel real-time visualization approach for exploring molecular dynamics (MD-)simulations. Through the constantly improving hardware and everincreasing computing power, MD-simulations are more easily available. Additionally, they consist of hundreds, thousands or even millions of individual simulation frames and are getting more and more detailed. The calculation of such simulations is no longer limited by algorithms or hardware, nevertheless it is still not possible to efficiently explore this huge amount of simulation data, as animated 3D visualization, with ordinary and well established visualization tools. Using current software tools, the exploration of such long simulations takes too much time and due to the complexity of large molecular scenes, the visualizations highly suffer from visual clutter. It is therefore very likely that the user will miss important events.\nTherefore, we designed a focus & context approach for MD-simulations that guides the\nuser to the most relevant temporal and spatial events, and it is no longer necessary to explore the simulation in a linear fashion. Our contribution can be divided into the following four topics:\n1. Spatial importance through different levels of detail. Depending on the type of\nresearch task, different geometrical representations can be selected for both, focusand context elements.\n2. Importance driven visibility management through ghosting, to prevent context\nelements from occluding focus elements.\n3. Temporal importance through adaptive fast-forward. The playback speed of the\nsimulation is thereby dependent on a single or a combination of multiple importance\nfunctions.\n4. Visual declutter of accumulated frames through motion blur, which additionally\nillustrates the playback speed-up.\nSince the very beginning, this work was developed in close cooperation with biochemists from the Loschmidt Laboratories in Brno, Czech Republic. Together, we analyzed different use cases demonstrating the flexibility of our novel focus & context approach. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 480, "name": "trautner-2018-imd-image.png", "type": "image/png", "size": 278645, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1196 ], "date_end": "2018-11-03", "date_start": "2018-01", "doi": "10.34726/hss.2018.53541", "matrikelnr": "01125421", "open_access": "yes", "pages": "100", "supervisor": [ 1110, 166 ], "research_areas": [ "BioVis", "Perception" ], "keywords": [ "molecular dynamics simulation", "realtime visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 567, "image_height": 480, "name": "trautner-2018-imd-image.png", "type": "image/png", "size": 278645, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Master Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "trautner-2018-imd-Master Thesis.pdf", "type": "application/pdf", "size": 18870686, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "trautner-2018-imd-Poster.pdf", "type": "application/pdf", "size": 4239145, "path": "Publication:trautner-2018-imd", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/", "__class": "Publication" }, { "id": "unger-2019_vcp", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Visual Comparison of Organism-Specific Metabolic Pathways", "date": "2019-02", "abstract": "The Kyoto Encyclopaedia of Genes and Genomes\n(KEGG) resource is a combination of multiple databases,\ncontaining information about biochemical compounds, reactions,\npathways, genes and much more. This database\nis one of the main resources for bioinformaticians and biologists\nto gain an understanding of molecular functionality\ninside organisms. The Orthology (KO) database from\nKEGG assigns pathways and genes with identical functionality\nto the same ortholog groups (KO entries). Therefore\nit is possible to map genes onto the pathway maps\nand obtain organism-specific visualizations. KEGG offers\na web-based graph visualization to explore these pathways,\nhowever, the interaction possibilities are restricted\nand the rendering is inefficient. It is possible to visualize\norganism-specific pathways but a visual analysis tool to\ncompare ortholog groups of multiple organisms is missing.\nIn this work, we present an efficient interactive web application\nto compare ortholog groups of multiple organisms\nin the metabolic reference pathway. We introduce a graph\noverlay technique to mark the differences and similarities\nbetween multiple organisms and demonstrate it with two\nuse cases. Additionally, we compare it against an existing\npoint set membership visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1117, "image_height": 742, "name": "unger-2019_vcp-screenshot.png", "type": "image/png", "size": 563486, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1530 ], "date_end": "2019-02", "date_start": "2018-10", "matrikelnr": "01325652", "supervisor": [ 1110 ], "research_areas": [ "BioVis", "InfoVis" ], "keywords": [ "pathways", "web-based visualization" ], "weblinks": [ { "href": "https://users.cg.tuwien.ac.at/kunger/pr-pathway-exploration/", "caption": "Online tool", "description": "Best to be used with Chrome. Enter the organisms to be compared by entering them as a string like this: \"eco+hsa+mmu\" (compares E-Coli, Homo Sapiens, and Mus Musculus). ", "main_file": 0 }, { "href": "https://www.genome.jp/kegg/catalog/org_list.html", "caption": "List of KEGG organisms", "description": "List of organisms available in KEGG. ", "main_file": 0 }, { "href": "https://cescg.org/cescg_submission/visual-comparison-of-organism-specific-metabolic-pathways/", "caption": "CESCG paper", "description": "Paper presented at the Central European Seminar on Computer Graphics 2019. ", "main_file": 0 } ], "files": [ { "description": null, "filetitle": "CESCG paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "unger-2019_vcp-CESCG paper.pdf", "type": "application/pdf", "size": 4980072, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-CESCG paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-CESCG paper:thumb{{size}}.png" }, { "description": null, "filetitle": "developer documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unger-2019_vcp-developer documentation.pdf", "type": "application/pdf", "size": 524187, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-developer documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-developer documentation:thumb{{size}}.png" }, { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1117, "image_height": 742, "name": "unger-2019_vcp-screenshot.png", "type": "image/png", "size": 563486, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "user documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "unger-2019_vcp-user documentation.pdf", "type": "application/pdf", "size": 58613, "path": "Publication:unger-2019_vcp", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-user documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-user documentation:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2016_Chameleon", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models", "date": "2016", "abstract": "Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In\nmultiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures,\nmacromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However,\ncurrently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel\ntechnology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently\nbest visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The\nchanges of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one.\nWith such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown\non any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well\nreceived.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1189, 1110, 166, 1365, 1260, 171 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "event": "VCBM", "lecturer": [ 1339 ], "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://diglib.eg.org/handle/10.2312/vcbm20161266", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Overview", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-Overview.png", "type": "image/png", "size": 488060, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2016_Chameleon-paper.pdf", "type": "application/pdf", "size": 25172411, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed A", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 378, "image_height": 472, "name": "Waldin_Nicholas_2016_Chameleon-zoomed A.png", "type": "image/png", "size": 462676, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A:thumb{{size}}.png" }, { "description": null, "filetitle": "zoomed B", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 380, "image_height": 474, "name": "Waldin_Nicholas_2016_Chameleon-zoomed B.png", "type": "image/png", "size": 360850, "path": "Publication:Waldin_Nicholas_2016_Chameleon", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/", "__class": "Publication" }, { "id": "Waldin_Nicholas_2017_FlickerObserver", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images", "date": "2017-05", "abstract": "Drawing the user's gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker can also be very salient, but is often perceived as annoying. In this paper, we explore high frequency flicker (60 to 72 Hz) to guide the user's attention in an image. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. Through experiments, we show that high frequency flicker can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user's attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image. In an uncalibrated visual search task, users could in a crowded image easily spot the specified search targets flickering with very high frequency. They also reported that high frequency flicker was distracting when they had to attend to another region, while it was hardly noticeable when looking at the flickering region itself.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1461, 1110, 171 ], "date_from": "2014", "date_to": "2017", "event": "Eurographics 2017", "journal": "Computer Graphics Forum", "lecturer": [ 1339 ], "number": "2", "pages_from": "467", "pages_to": "476", "volume": "36", "research_areas": [ "Perception" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "type": "application/pdf", "size": 6348247, "path": "Publication:Waldin_Nicholas_2017_FlickerObserver", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/", "__class": "Publication" }, { "id": "waldin-2019-ccm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations", "date": "2019-03", "abstract": "Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1339, 1110, 1189, 166, 1365, 1260, 1475, 171 ], "doi": "10.1111/cgf.13611", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "150", "pages_to": "164", "volume": "38", "research_areas": [ "BioVis", "IllVis", "InfoVis" ], "keywords": [ "multiscale visualization", "illustrative visualization", "molecular visualization" ], "weblinks": [ { "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.13611", "caption": "Open Access Article in Wiley Online Library", "description": null, "main_file": 1 } ], "files": [ { "description": "Multiple color zoom levels. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 509, "image_height": 447, "name": "waldin-2019-ccm-teaser.png", "type": "image/png", "size": 690229, "path": "Publication:waldin-2019-ccm", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/", "__class": "Publication" }, { "id": "Waldner_2017_11", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Guiding Attention in Complex Visualizations using Flicker", "date": "2017-11-17", "abstract": "Drawing the user’s gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker is also a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. While it is very salient, it is often perceived as annoying. In this talk, I will present our research on how flicker can be used as attention guidance technique in cluttered visualizations while lowering its negative side-effects. In particular, I will first present results of studies examining a two-stage flicker technique for dynamic visualizations on large displays. Then, I will present we our explorations of high frequency flicker (60 to 72 Hz) to guide the user’s attention in images. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. We show that high frequency flicker, using personalized attributes like patch size and luminance, can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user’s attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110 ], "event": "S&T Cooperation Austria-Czech Republic", "location": "Czech Technical University", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "vis", "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldner_2017_11/", "__class": "Publication" }, { "id": "waldner-2017-vph", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Exploring Visual Prominence of Multi-Channel Highlighting in Visualizations", "date": "2017-05", "abstract": "Visualizations make rich use of multiple visual channels so that there are few resources left to make selected focus elements visually\ndistinct from their surrounding context. A large variety of highlighting techniques for visualizations has been presented in the past,\nbut there has been little systematic evaluation of the design space of highlighting. We explore highlighting from the perspective\nof visual marks and channels – the basic building blocks of visualizations that are directly controlled by visualization designers.\nWe present the results from two experiments, exploring the visual prominence of highlighted marks in scatterplots: First, using\nluminance as a single highlight channel, we found that visual prominence is mainly determined by the luminance difference between\nthe focus mark and the brightest context mark. The brightness differences between context marks and the overall brightness level\nhave negligible influence. Second, multi-channel highlighting using luminance and blur leads to a good trade-off between highlight\neffectiveness and aesthetics. From the results, we derive a simple highlight model to balance highlighting across multiple visual\nchannels and focus and context marks, respectively.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 160, "image_height": 124, "name": "waldner-2017-vph-.png", "type": "image/png", "size": 20447, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 925, 166 ], "booktitle": "Spring Conference on Computer Graphics 2017", "lecturer": [ 1110 ], "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "information visualization", "highlighting", "focus+context", "visual prominence" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 160, "image_height": 124, "name": "waldner-2017-vph-.png", "type": "image/png", "size": 20447, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2017-vph-paper.pdf", "type": "application/pdf", "size": 1851221, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper:thumb{{size}}.png" }, { "description": "Details about experiment design and results. ", "filetitle": "supplemental material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2017-vph-supplemental material.pdf", "type": "application/pdf", "size": 1396255, "path": "Publication:waldner-2017-vph", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/", "__class": "Publication" }, { "id": "waldner-2018-ved", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Data Exploration and Analysis in Emerging Display Environments ", "date": "2018-04-05", "abstract": "Increasingly powerful computing and display hardware open up entirely new ways for visual data exploration and analysis. Powerful machines and emerging display environments facilitate novel visual exploration techniques, collaborative data analysis, and even immersion into the scientific data. This talk will address the challenges we faced when bringing biomolecular visual analysis tools and complex molecular visualizations into such large, multi-user environments. A special focus lies on interfaces and attention guidance techniques we designed and evaluated to keep the user oriented and reduce visual clutter. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110 ], "event": "Emerging Technologies in Scientific Data Visualisation - CECAM", "location": "Pisa, Italy", "research_areas": [], "keywords": [], "weblinks": [ { "href": "https://www.cecam.org/workshop-1586.html", "caption": "CECAM workshop", "description": null, "main_file": 0 } ], "files": [], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/waldner-2018-ved/", "__class": "Publication" }, { "id": "waldner-2019-rld", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Comparison of Radial and Linear Charts for Visualizing Daily Patterns", "date": "2019-10", "abstract": "Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be naturally supported by the radial layout. It has been demonstrated that the\ndrawbacks of radial charts outweigh the benefits of this natural mapping. Visualization of daily patterns, as a special case, has not been systematically evaluated using radial charts. In contrast to yearly or weekly recurrent trends, the analysis of daily patterns on a radial chart may benefit from our trained skill on reading radial clocks that are ubiquitous in our culture. In a crowd-sourced experiment with 92 non-expert users, we evaluated the accuracy, efficiency, and subjective ratings of radial and linear charts for visualizing daily traffic accident patterns. We systematically compared juxtaposed 12-hours variants and single 24-hours variants for both layouts in four low-level tasks and one high-level interpretation task. Our results show that over all tasks, the most elementary 24-hours linear bar chart is most accurate and efficient and is also preferred by the users. This provides strong evidence for the use of linear layouts – even for visualizing periodical daily patterns.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Daily patterns visualized in a 24-hours radial chart. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 497, "image_height": 474, "name": "waldner-2019-rld-teaser.png", "type": "image/png", "size": 53565, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1121, 581, 1204, 1122, 235 ], "cfp": { "name": "IEEE VIS 2019 Call For Participation.pdf", "type": "application/pdf", "error": "0", "size": "545751", "orig_name": "IEEE VIS 2019 Call For Participation.pdf", "ext": "pdf" }, "date_from": "2019-10-20", "date_to": "2019-10-25", "doi": "10.1109/TVCG.2019.2934784", "event": "IEEE VIS InfoVis", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 1110 ], "location": "Vancouver, Canada", "pages_from": "1033", "pages_to": "1042", "volume": "26", "research_areas": [ "InfoVis", "Perception" ], "keywords": [ "radial charts", "time series data", "daily patterns", "crowd-sourced experiment" ], "weblinks": [ { "href": "https://vimeo.com/371939694", "caption": "Presentation recording from IEEE VIS 2019 (VGTC Vimeo)", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-paper.pdf", "type": "application/pdf", "size": 892625, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper:thumb{{size}}.png" }, { "description": "Powerpoint slides of presentation at IEEE VIS 2019 (do not contain animations and videos). ", "filetitle": "slides ", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-slides .pdf", "type": "application/pdf", "size": 12853249, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides :thumb{{size}}.png" }, { "description": "Supplemental information about the user study", "filetitle": "supplement", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-supplement.pdf", "type": "application/pdf", "size": 2511402, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement:thumb{{size}}.png" }, { "description": "Daily patterns visualized in a 24-hours radial chart. ", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 497, "image_height": 474, "name": "waldner-2019-rld-teaser.png", "type": "image/png", "size": 53565, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "video preview", "main_file": false, "use_in_gallery": false, "access": "public", "name": "waldner-2019-rld-video preview.mp4", "type": "video/mp4", "size": 3082628, "path": "Publication:waldner-2019-rld", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:video.mp4" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/", "__class": "Publication" }, { "id": "waldner-2020-tbg", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/141146", "title": "Interactive exploration of large time-dependent bipartite graphs", "date": "2020-04", "abstract": "Bipartite graphs are typically visualized using linked lists or matrices, but these visualizations neither scale well nor do they convey temporal development. We present a new interactive exploration interface for large, time-dependent bipartite graphs. We use two clustering techniques to build a hierarchical aggregation supporting different exploration strategies. Aggregated nodes and edges are visualized as linked lists with nested time series. We demonstrate two use cases: finding advertising expenses of public authorities following similar temporal patterns and comparing author-keyword co-occurrences across time. Through a user study, we show that linked lists with hierarchical aggregation lead to more insights than without.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Dynamic BicFlows with nested time series visualization per cluster per set.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 936, "name": "waldner-2020-tbg-teaser.png", "type": "image/png", "size": 250456, "path": "Publication:waldner-2020-tbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1110, 1378, 166 ], "doi": "https://doi.org/10.1016/j.cola.2020.100959", "journal": "Journal of Computer Languages", "volume": "57", "research_areas": [ "InfoVis", "NetVis" ], "keywords": [ "Information visualization", "Bipartite graphs", "Clustering", "Time series data", "Insight-based evaluation" ], "weblinks": [ { "href": "https://www.sciencedirect.com/science/article/pii/S2590118420300198", "caption": "paper", "description": "Open Access article at ScienceDirect", "main_file": 1 } ], "files": [ { "description": "Dynamic BicFlows with nested time series visualization per cluster per set.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 936, "name": "waldner-2020-tbg-teaser.png", "type": "image/png", "size": 250456, "path": "Publication:waldner-2020-tbg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "deskollage" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/deskollage", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "amirkhanov2010AMA", "ammer-2008-lst", "An-2018-CHI", "AndreUrsits_2013_APP", "antes-2023-vhv", "Antonini2020", "arbesser_ba_2023", "Artner-2004-Hig", "Artner-2005-Hig", "Artner-2005-Thesis", "audioflow", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", 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"wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d4338", "workgroup_id": "vr", "drupal_id": 4338, "drupal_path": "/research/projects/Haas-VR", "name": "Presentation of virtual machines", "name_de": "Erstellung einer virtuellen Maschinenpräsentation", "short_title": "Haas VR", "website": null, "status": "active", "short_abstract": null, "abstract": null, "start_date": "2018-04-01", "end_date": "2018-10-31", "leader_id": { "id": 378, "drupal_id": 366, "orcid_id": "0000-0002-0322-9869", "website": "https://www.cg.tuwien.ac.at/staff/HannesKaufmann", "firstname": "Hannes", "lastname": "Kaufmann", "searchname": "Hannes Kaufmann", "is_teacher": false, "name": "Hannes Kaufmann", "publications": [ "adolf-2019-jug", "brument_2019_br19", "Goellner_2019-ABC", "huber-2025-esl", "kan-2019-dli", "Kauf-2000-Con", "medeiros-2025-iaa", "Mirzaei_Mohammad-2021", "Mirzaei_Mohammad-2021-HeadUp", "Mirzaei_Mohammadreza_2020-EVR", "Mirzaei_Mohhamad-2021", "mortezapoor-2022-photogrammabot", "Mossel_Annette_2020-TVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "Sebernegg2020", "Vasylevska_Khrystyna-2019-TEFVR", "Vasylevska2020VRB", "Vonach021", "wimmer-2022-acd" ], "publications_first": [], "project_leader": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "publication_field": [ { "publ_id": "adolf-2019-jug", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Bayer_Alexander_2021_FTiVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "kan-2019-dli", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "koessler-2021-i3d", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Kovacs_2020", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mirzaei_Mohammadreza_2020-EVR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "podkosova-2019-MVR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Prossenitsch_2019-1", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schlager-2021-ddo", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schuller_reichl-2019-avt", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "schwaerzler_2018_phd", "field_id": "reviewer_2", "ordernum": 0 }, { "publ_id": "Sprung_2021", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "unterguggenberger-2016-realmar", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "wang-sukalia-2022-mom", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=378", "__class": "Author" }, "logo": null, "funding_organisations": [], "research_areas": [], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/Haas-VR", "__class": "Project", "workgroup": { "id": "vr", "drupal_id": 1358, "name": "Virtual Reality Group", "website": "https://www.cg.tuwien.ac.at/group/Virtual-Reality-Group", "projects": [ "AR-AQ-Bau", "BimFlexi", "d4317", "d4322", "d4330", "d4338", "d4340", "d4400", "d4673", "d4710", "d4713", "EvaluARte", "VHH" ], "research_areas": [], "publications": [ "adolf-2019-jug", "Bayer_Alexander_2021_FTiVR", "Goellner_2019-ABC", "kan-2019-dli", "Kovacs_2020", "Mirzaei_Mohammadreza_2020-EVR", "perl_oskar_2021_DVR", "pirch_2021_VRN", "podkosova_2022_bimflexi-vr", "Prossenitsch_2019-1", "reimer-2020-CBG", "reimer-2021-CVR", "Reisinger_Julia-2021-parametricscript", "Reisinger-2021-JOBE", "Schoenauer_2020_POI", "schuller_reichl-2019-avt", "Sebernegg2020", "Sprung_2021", "Vasylevska_Khrystyna-2019-TEFVR" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vr", "__class": "Workgroup" } }, { "id": "d4340", "workgroup_id": "vr", "drupal_id": 4340, "drupal_path": "/research/projects/ARPathVis", "name": "Realistic Indoor Path Visualization with Real-Time Obstacle Avoidance in Augmented Reality", "name_de": "Realistische Pfadvisualisierung eines Navigationssystems für Innenräume in Augmented Reality", "short_title": "ARPathVis", "website": null, "status": "active", "short_abstract": null, "abstract": "Accurate navigation systems for large indoor environments utilizing visual features, which are able to
provide real time 3D positions and rotations, are currently under development. However, research on indoor navigation and especially augmented reality (AR) indoor path generation and visualization is sparse.
Recent methods that focus mainly on outdoor environments are not suitable for indoor scenarios due to the complexity of floor plans, the limited field-of-view of AR devices, and do not consider fast changes in the viewing direction while being guided. Therefore new methods for path planning, obstacles avoidance and navigation visualization have to be developed.
In this project, we propose novel navigation methods to assist mobile indoor navigation by utilizing AR. We present a new dynamic path planning algorithm with real-time obstacle avoidance reacting to changing environments. We also propose three new navigation visualization methods utilizing AR: particles, object-following, and realistic human avatars as guides. In addition, we plan to research real light estimation from shadows using a monocular moving RGB-D camera for realistic lighting, to embed an avatar as a guide. For navigation visualization, different stages of realism will be developed and evaluated on mobile devices. Finally, we will research and integrate haptic feedback to aid navigation.
We plan to evaluate the developed algorithms in comprehensive user studies with respect to the efficiency in navigation, sense of presence and user comfort. We expect our approaches to advance theory and practice of personal indoor navigation.
The current acquisition pipeline for visual models of 3D worlds is based on a paradigm of planning a goal-oriented acquisition - sampling on site - processing. The digital model of an artifact (an object, a building,up to an entire city) is produced by planning a specific scanning campaign, carefully selecting the (often costly) acquisition devices, performing the on-site acquisition at the required resolution and then post-processing the acquired data to produce a beautified triangulated and textured model. However, in the future we will be faced with the ubiquitous availability of sensing devices that deliver different data streams that need to be processed and displayed in a new way, for example smartphones, commodity stereo cameras, cheap aerial data acquisition devices, etc. We therefore propose a radical paradigm change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, we let the sensors and resulting available data determine the acquisition process. Data acquisition might become incidental to other tasks that evices/people to which sensors are attached carry out. A variety of challenging problems need to be solved to exploit this huge amount of data, including: dealing with continuous streams of time-dependent data, finding means of integrating data from different sensors and modalities, detecting changes in data sets to create 4D models, harvesting data to go beyond simple 3D geometry, and researching new paradigms for interactive inspection capabilities with 4D data sets. In this project, we envision solutions to these challenges, paving the way for affordable and innovative uses of information technology in an evolving world sampled by ubiquitous visual sensors. Our approach is high-risk and an enabling factor for future visual applications. The focus is clearly on basic research questions to lay the foundation for the new paradigm of incidental 4D data capture.
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"thumb_url": "https://www.cg.tuwien.ac.at/research/projects/Harvest4D/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "eu7", "contract_number": "323567", "comment": null, "funding_organisation": { "id": "eu7", "drupal_id": 4140, "name": "EU 7th Framework Program", "logo": { "name": "logo.png", "type": "image/png", "size": 25834, "orig_name": "logo.png", "path": "FundingOrganisation:eu7", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/eu7/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "Harvest4D", "contract_number": "323567", "comment": null }, { "id": "illvisation", "contract_number": "PCIG13-GA-2013-618680", "comment": null }, { "id": "ProcessIllVis", "contract_number": null, "comment": null }, { "id": "VHH", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=eu7", "__class": "FundingOrganisation" } } ], "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "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": "arikan-2015-dmrt", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Multi-Depth-Map Raytracing for Efficient Large-Scene Reconstruction", "date": "2016-02", "abstract": "With the enormous advances of the acquisition technology over the last years, fast processing and high-quality\nvisualization of large point clouds have gained increasing attention. Commonly, a mesh surface is reconstructed from the point\ncloud and a high-resolution texture is generated over the mesh from the images taken at the site to represent surface materials. However, this global reconstruction and texturing approach becomes impractical with increasing data sizes. Recently, due to its\npotential for scalability and extensibility, a method for texturing a set of depth maps in a preprocessing and stitching them at runtime has been proposed to represent large scenes. However, the rendering performance of this method is strongly dependent on the number of depth maps and their resolution. Moreover, for the proposed scene representation, every single depth map has to be textured by the images, which in practice heavily increases processing costs. In this paper, we present a novel method\nto break these dependencies by introducing an efficient raytracing of multiple depth maps. In a preprocessing phase, we first generate high-resolution textured depth maps by rendering the input points from image cameras and then perform a graph-cut\nbased optimization to assign a small subset of these points to the images. At runtime, we use the resulting point-to-image assignments (1) to identify for each view ray which depth map contains the closest ray-surface intersection and (2) to efficiently\ncompute this intersection point. The resulting algorithm accelerates both the texturing and the rendering of the depth maps by an order of magnitude.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser image", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2855, "image_height": 1392, "name": "arikan-2015-dmrt-image.jpg", "type": "image/jpeg", "size": 2864240, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865, 799, 193 ], "doi": "10.1109/TVCG.2015.2430333", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization & Computer Graphics", "number": "2", "pages_from": "1127", "pages_to": "1137", "volume": "22", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [ { "href": "http://http://dx.doi.org/10.1109/TVCG.2015.2430333", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "arikan-2015-dmrt-draft.pdf", "type": "application/pdf", "size": 1697346, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft:thumb{{size}}.png" }, { "description": "teaser image", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2855, "image_height": 1392, "name": "arikan-2015-dmrt-image.jpg", "type": "image/jpeg", "size": 2864240, "path": "Publication:arikan-2015-dmrt", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png" }, { "description": "[45MB]", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "arikan-2015-dmrt-video.mp4", "type": "video/mp4", "size": 47571465, "path": "Publication:arikan-2015-dmrt", "preview_name": "arikan-2015-dmrt-video:preview.png", "preview_type": "image/jpeg", "preview_size": 91344, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/", "__class": "Publication" }, { "id": "laager_florian-2014-daa", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Robust Registration of Range Images", "date": "2019-01-08", "abstract": "Objects are scanned in 3D by taking overlapping depth images from different perspectives, which then must be registered together to reconstruct the mesh.\n\nMost current work detects a few corresponding points by features in order to find the transform which correctly positions the depth images to each other in 3D. Due to its nature of extracting and matching only a few data, it may not select the best global correspondence, especially if there are several close matches.\n\nIt is also difficult to detect complete failure, since the quality of the guess is not measured, so often manual intervention is necessary. Usually there are multiple depth images and several serial pair-wise registrations, so any errors in the determined transform propagate.\n\nTherefore a better approach to reconsider that problem to use all of the available data and determine only overlaps within an error threshold, e.g. based on confidence from the scanner noise model. This also has applications in shape retrieval, for high-quality partial shape matching. A simplified version of that problem would be to find an overlap of two functions in 2D with the difference in their y-value thresholded in some measure", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 729, "image_height": 528, "name": "laager_florian-2014-daa-image.jpg", "type": "image/jpeg", "size": 66878, "path": "Publication:laager_florian-2014-daa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1010 ], "date_end": "2019-01-08", "date_start": "2014-06-01", "matrikelnr": "932 0525859", "supervisor": [ 948 ], "research_areas": [ "Geometry" ], "keywords": [ "registration", "point clouds", "shape retrieval" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 729, "image_height": 528, "name": "laager_florian-2014-daa-image.jpg", "type": "image/jpeg", "size": 66878, "path": "Publication:laager_florian-2014-daa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "laager_florian-2014-daa-thesis.pdf", "type": "application/pdf", "size": 11268958, "path": "Publication:laager_florian-2014-daa", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/", "__class": "Publication" }, { "id": "Mayrhauser-2016-Cnc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Migration of Surface Curve to Most Concave Isoline", "date": "2016-12", "abstract": "In this paper, I present a solution for migrating a curve on a three dimensional surface to\nthe most concave isoline in its vicinity. Essentially, this problem statement tackles mesh\nsegmentation from a different angle. The search for a suitable segmentation boundary is\nreduced to a shortest path problem.\nFirst, a graph is built using the mesh’s vertices and edges near the input curve. Then,\nthe shortest path is found using the Dijkstra algorithm, whereas a modified weighting\nscheme that makes the passing through of concave edges cheaper, among other factors,\nresults in a path suitable as segmentation boundary.\nThe final algorithm provides segmentation boundaries of a quality similar to existing\nsegmentation algorithms. The runtime generally lies below a second, thus making it\nviable for on the go optimization of the user’s input.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1587, "image_height": 868, "name": "Mayrhauser-2016-Cnc-image.png", "type": "image/png", "size": 372053, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1348 ], "date_end": "2016-12", "date_start": "2016-07", "matrikelnr": "e0926916", "supervisor": [ 193 ], "research_areas": [ "Geometry" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1587, "image_height": 868, "name": "Mayrhauser-2016-Cnc-image.png", "type": "image/png", "size": 372053, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Mayrhauser-2016-Cnc-thesis.pdf", "type": "application/pdf", "size": 9420121, "path": "Publication:Mayrhauser-2016-Cnc", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/", "__class": "Publication" }, { "id": "MAYRHAUSER-2016-SCA", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Visualization of Huge Point Clouds on an 8K projection Wall in the Ars Electronica Center Linz - cancelled", "date": "2016", "abstract": "The Ars Electronica Center in Linz is upgrading their \"Deep Space Live\" installation to 4K projectors, resulating in a total of 8K projection (one front, one floor). This allows for exremely high-quality, interactive applications.\n\nThe goal of this Praktikum is to develop/adapt a point-rendering software to be able to display huge point clouds on this installation. For this, algorithms have to be adapted to work with this high resolution. Furthermore, the projection to two different surfaces needs to be integrated in the viewer.\n\nThis project offers the opportunity to work with an exciting interactive installation. In case of success, the results will be shown to many visitors. Furthermore, we work with very interesting huge archaeological datasets, which are fascinating to explore.\n\n0664 4414348\ne0926916@student.tuwien.ac.at", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1348 ], "duration": "6", "matrikelnr": "0926916", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/MAYRHAUSER-2016-SCA/", "__class": "Publication" }, { "id": "ohrhallinger-2016-sgp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Curve Reconstruction with Many Fewer Samples", "date": "2016", "abstract": "We consider the problem of sampling points from a collection of smooth curves in the plane, such that the Crust family of proximity-based reconstruction algorithms can rebuild the curves. Reconstruction requires a dense sampling of local features, i.e., parts of the curve that are close in Euclidean distance but far apart geodesically.\nWe show that epsilon<0.47-sampling is sufficient for our proposed HNN-CRUST variant, improving upon the \nstate-of-the-art requirement of epsilon<1/3-sampling.\nThus we may reconstruct curves with many fewer samples.\nWe also present a new sampling scheme that reduces the required density even further than epsilon<0.47-sampling.\nWe achieve this by better controlling the spacing between geodesically consecutive points.\nOur novel sampling condition is based on the reach, the minimum local feature size along intervals between samples.\nThis is mathematically closer to the reconstruction density requirements, particularly near sharp-angled features.\nWe prove lower and upper bounds on reach rho-sampling density in terms of lfs epsilon-sampling and demonstrate that we typically reduce the required number of samples for reconstruction by more than half.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1200, "name": "ohrhallinger-2016-sgp-image.png", "type": "image/png", "size": 54228, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 948, 1363, 193 ], "date_from": "2016-06-20", "date_to": "2016-06-24", "event": "Symposium on Geometry Processing", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 948 ], "location": "Berlin, Germany", "number": "5", "pages_from": "167", "pages_to": "176", "volume": "35", "research_areas": [ "Geometry" ], "keywords": [ "sampling condition", "curve reconstruction", "curve sampling" ], "weblinks": [ { "href": "https://github.com/stefango74/hnn-crust-sgp16", "caption": "Reproducibility Source Code", "description": "This git repository contains all source code and instructions to reproduce the relevant figures and tables of the paper on an Ubuntu 16.04LTS system.", "main_file": 1 }, { "href": "http://dx.doi.org/10.1111/cgf.12973", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2000, "image_height": 1200, "name": "ohrhallinger-2016-sgp-image.png", "type": "image/png", "size": 54228, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2016-sgp-paper.pdf", "type": "application/pdf", "size": 969324, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper:thumb{{size}}.png" }, { "description": "slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ohrhallinger-2016-sgp-slides.pdf", "type": "application/pdf", "size": 6164109, "path": "Publication:ohrhallinger-2016-sgp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D", "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/", "__class": "Publication" }, { "id": "preiner2014clop", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Continuous Projection for Fast L1 Reconstruction", "date": "2014-08", "abstract": "With better and faster acquisition devices comes a demand for fast robust reconstruction algorithms, but no L1-based technique has been fast enough for online use so far. In this paper, we present a novel continuous formulation of the weighted locally optimal projection (WLOP) operator based on a Gaussian mixture describing the input point density. Our method is up to 7 times faster than an optimized GPU implementation of WLOP, and achieves interactive frame rates for moderately sized point clouds. We give a comprehensive quality analysis showing that our continuous operator achieves a generally higher reconstruction quality than its discrete counterpart. Additionally, we show how to apply our continuous formulation to spherical mixtures of normal directions, to also achieve a fast robust normal reconstruction.\n\nProject Page: https://www.cg.tuwien.ac.at/~preiner/projects/clop/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1080, "image_height": 810, "preview_image_width": 640, "preview_image_height": 480, "name": "preiner2014clop-thumbnail.png", "type": "image/png", "size": 738367, "path": "Publication:preiner2014clop", "preview_name": "preiner2014clop-thumbnail:preview.png", "preview_type": "image/png", "preview_size": 347267, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799, 326, 865, 1184, 193 ], "date_from": "2014-08-10", "date_to": "2014-08-14", "doi": "10.1145/2601097.2601172", "event": "ACM SIGGRAPH 2014", "issn": "0730-0301", "journal": "ACM Transactions on Graphics (Proc. of ACM SIGGRAPH 2014)", "lecturer": [ 799 ], "location": "Vancouver, Canada", "number": "4", "pages_from": "47:1", "pages_to": "47:13", "volume": "33", "research_areas": [ "Geometry" ], "keywords": [ "point set", "Gaussian mixture", "Hierarchical EM", "upsampling", "dynamic reconstruction", "L1 reconstruction" ], "weblinks": [], "files": [ { "description": "compressed quality (7,8 MB)", "filetitle": "paper_small", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner2014clop-paper_small.pdf", "type": "application/pdf", "size": 8222514, "path": "Publication:preiner2014clop", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper_small.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper_small:thumb{{size}}.png" }, { "description": "high quality (60 MB)", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner2014clop-paper.pdf", "type": "application/pdf", "size": 62896920, "path": "Publication:preiner2014clop", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper:thumb{{size}}.png" }, { "description": "Siggraph 2014 presentation slides", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner2014clop-slides.pptx", "type": "application/zip", "size": 12241698, "path": "Publication:preiner2014clop", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1080, "image_height": 810, "preview_image_width": 640, "preview_image_height": 480, "name": "preiner2014clop-thumbnail.png", "type": "image/png", "size": 738367, "path": "Publication:preiner2014clop", "preview_name": "preiner2014clop-thumbnail:preview.png", "preview_type": "image/png", "preview_size": 347267, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1920, "preview_image_height": 1080, "name": "preiner2014clop-video.mp4", "type": "video/mp4", "size": 78627076, "path": "Publication:preiner2014clop", "preview_name": "preiner2014clop-video:preview.png", "preview_type": "image/jpeg", "preview_size": 74242, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/", "__class": "Publication" }, { "id": "Radwan-2014-CDR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Efficient Collision Detection While Rendering Dynamic Point Clouds", "date": "2014-05", "abstract": "A recent trend in interactive environments is the use of unstructured\nand temporally varying point clouds. This is driven by both\naffordable depth cameras and augmented reality simulations. One\nresearch question is how to perform collision detection on such\npoint clouds. State-of-the-art methods for collision detection create\na spatial hierarchy in order to capture dynamic point cloud surfaces,\nbut they require O(NlogN) time for N points. We propose\na novel screen-space representation for point clouds which exploits\nthe property of the underlying surface being 2D. In order for dimensionality\nreduction, a 3D point cloud is converted into a series\nof thickened layered depth images. This data structure can be constructed\nin O(N) time and allows for fast surface queries due to\nits increased compactness and memory coherency. On top of that,\nparts of its construction come for free since they are already handled\nby the rendering pipeline. As an application we demonstrate\nonline collision detection between dynamic point clouds. It shows\nsuperior accuracy when compared to other methods and robustness\nto sensor noise since uncertainty is hidden by the thickened boundary.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Radwan-2014-CDR-.jpg", "type": "image/jpeg", "size": 1617713, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 923, 948, 193 ], "booktitle": "Proceedings of the 2014 Graphics Interface Conference", "date_from": "2014-05-07", "date_to": "2014-05-09", "event": "Graphics Interface 2014", "isbn": "978-1-4822-6003-8", "issn": "0713-5424", "lecturer": [ 948 ], "location": "Montreal, Quebec, Canada ", "pages_from": "25", "pages_to": "33", "publisher": "Canadian Information Processing Society", "research_areas": [ "Geometry" ], "keywords": [ "bounding volumes", "layered depth images", "collision detection", "point cloud", "dynamic" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Radwan-2014-CDR-.jpg", "type": "image/jpeg", "size": 1617713, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2014-CDR-paper.pdf", "type": "application/pdf", "size": 18652471, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Radwan-2014-CDR-slides.pdf", "type": "application/pdf", "size": 3177669, "path": "Publication:Radwan-2014-CDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/", "__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": "SCHUETZ-2014-RRLP", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Rendering Ridiculously Large Point Clouds over the Web", "date": "2014", "abstract": null, "authors_et_al": false, "substitute": "SCHUETZ-2016-POT", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116 ], "date_start": "2014-08-07", "matrikelnr": "0825723", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "point-based rendering", "WebGL" ], "weblinks": [], "files": [], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/SCHUETZ-2014-RRLP/", "__class": "Publication" }, { "id": "SCHUETZ-2015-HQP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "High-Quality Point Based Rendering Using Fast Single Pass Interpolation", "date": "2015-09", "abstract": "We present a method to improve the visual quality of point cloud renderings through a nearest-neighbor-like interpolation of points. This allows applications to render points at larger sizes in order to reduce holes, without reducing the readability of fine details due to occluding points. The implementation requires only few modifications to existing shaders, making it eligible to be integrated in software applications without major design changes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1000, "name": "SCHUETZ-2015-HQP-image.png", "type": "image/png", "size": 1123770, "path": "Publication:SCHUETZ-2015-HQP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116, 193 ], "booktitle": "Proceedings of Digital Heritage 2015 Short Papers", "date_from": "2015-09-28", "date_to": "2015-10-02", "lecturer": [ 1116 ], "location": "Granada, Spain", "pages_from": "369", "pages_to": "372", "research_areas": [ "Rendering" ], "keywords": [ "point-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHUETZ-2015-HQP-draft.pdf", "type": "application/pdf", "size": 1754449, "path": "Publication:SCHUETZ-2015-HQP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 1000, "name": "SCHUETZ-2015-HQP-image.png", "type": "image/png", "size": 1123770, "path": "Publication:SCHUETZ-2015-HQP", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/", "__class": "Publication" }, { "id": "SCHUETZ-2016-POT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Potree: Rendering Large Point Clouds in Web Browsers", "date": "2016-09-19", "abstract": "This thesis introduces Potree, a web-based renderer for large point clouds. It allows users\nto view data sets with billions of points, from sources such as LIDAR or photogrammetry,\nin real time in standard web browsers.\nOne of the main advantages of point cloud visualization in web browser is that it\nallows users to share their data sets with clients or the public without the need to install\nthird-party applications and transfer huge amounts of data in advance. The focus on\nlarge point clouds, and a variety of measuring tools, also allows users to use Potree to\nlook at, analyze and validate raw point cloud data, without the need for a time-intensive\nand potentially costly meshing step.\nThe streaming and rendering of billions of points in web browsers, without the need\nto load large amounts of data in advance, is achieved with a hierarchical structure that\nstores subsamples of the original data at different resolutions. A low resolution is stored\nin the root node and with each level, the resolution gradually increases. The structure\nallows Potree to cull regions of the point cloud that are outside the view frustum, and\nto render distant regions at a lower level of detail.\nThe result is an open source point cloud viewer, which was able to render point cloud\ndata sets of up to 597 billion points, roughly 1.6 terabytes after compression, in real time\nin a web browser.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.", "filetitle": "Matterhorn", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 906, "image_height": 741, "name": "SCHUETZ-2016-POT-Matterhorn.png", "type": "image/png", "size": 989456, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1116 ], "date_end": "2016-09-10", "date_start": "2014-08-01", "matrikelnr": "0825723", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "point cloud rendering", "WebGL", "LIDAR" ], "weblinks": [ { "href": "https://github.com/potree", "caption": "github repository", "description": null, "main_file": 0 } ], "files": [ { "description": "Around 17 billion points. \nPoint cloud courtesy of Open Topography and PG&E.", "filetitle": " San Luis Obispo County coast", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 990, "name": "SCHUETZ-2016-POT- San Luis Obispo County coast.jpg", "type": "image/jpeg", "size": 386647, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast:thumb{{size}}.png" }, { "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.", "filetitle": "Matterhorn", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 906, "image_height": 741, "name": "SCHUETZ-2016-POT-Matterhorn.png", "type": "image/png", "size": 989456, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "SCHUETZ-2016-POT-poster.pdf", "type": "application/pdf", "size": 18316148, "path": "Publication:SCHUETZ-2016-POT", "preview_name": "SCHUETZ-2016-POT-poster:preview.png", "preview_type": null, "preview_size": null, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-poster.pdf", "thumb_image_sizes": [] }, { "description": "Point cloud courtesy of Riegl.", "filetitle": "Retz", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 866, "image_height": 533, "name": "SCHUETZ-2016-POT-Retz.png", "type": "image/png", "size": 952898, "path": "Publication:SCHUETZ-2016-POT", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 906, "preview_image_height": 741, "name": "SCHUETZ-2016-POT-thesis.pdf", "type": "application/pdf", "size": 95787159, "path": "Publication:SCHUETZ-2016-POT", "preview_name": "SCHUETZ-2016-POT-thesis:preview.png", "preview_type": "image/png", "preview_size": 989456, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/", "__class": "Publication" }, { "id": "WIMMER-2014-DWNT", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Do we need the full reconstruction pipeline?", "date": "2014", "abstract": "The traditional cultural heritage documentation pipeline from acquisition using a range scanner to interactive display to the user is a tedious and labor-intensive process. In particular, reconstructing high-quality meshes from large point clouds can be time consuming. In this talk, I will present shortcuts to this pipeline. The first idea is not to reconstruct a mesh at all, but keep the original point cloud as long as possible. I will discuss the challenges in maintaining interactivity and high quality when dealing with the display and manipulation of huge point clouds. The second idea is to reconstruct extremely simple models for regular and man-made structures, using shape analysis and user guidance. These models can be shown in end-user installations and require very few resources for display. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2014-07-24", "date_to": "2014-07-24", "event": "EU-Korea Conference on Science and Technology", "location": "Vienna, Austria", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WIMMER-2014-DWNT/", "__class": "Publication" }, { "id": "WIMMER-2016-FUTURIS", "type_id": "tv", "tu_id": null, "repositum_id": null, "title": "Creating 3D models with your mobile phone", "date": "2016-06-06", "abstract": "TV Spot describing the Harvest4D project.\n\nIn this edition of Futuris, we look at whether our smartphones can help to create sophisticated 3D models...", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 360, "name": "WIMMER-2016-FUTURIS-screenshot.jpg", "type": "image/jpeg", "size": 70012, "path": "Publication:WIMMER-2016-FUTURIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "channel": "EuroNews", "duration": "4:17", "program": "Futuris", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [ { "href": "http://www.euronews.com/2016/06/06/creating-3d-models-with-your-mobile-phone/", "caption": null, "description": null, "main_file": 0 }, { "href": "https://harvest4d.org", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 360, "name": "WIMMER-2016-FUTURIS-screenshot.jpg", "type": "image/jpeg", "size": 70012, "path": "Publication:WIMMER-2016-FUTURIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "WIMMER-2016-FUTURIS-video.mp4", "type": "video/mp4", "size": 26898717, "path": "Publication:WIMMER-2016-FUTURIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-video:video.mp4" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/", "__class": "Publication" }, { "id": "WIMMER-2016-HARVEST4D", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds", "date": "2016-10", "abstract": "The EU FP7 FET-Open project \"Harvest4D: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds\" deals with the acquisition, processing, and display of dynamic 3D data. Technological progress is offering us a wide-spread availability of sensing devices that deliver different data streams, which can be easily deployed in the real world and produce streams of sampled data with increased density and easier iteration of the sampling process. These data need to be processed and displayed in a new way. The Harvest4D project proposes a radical change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, its methods let the sensors and resulting available data determine the acquisition process. A variety of challenging problems need to be solved: huge data amounts, different modalities, varying scales, dynamic, noisy and colorful data. This short contribution presents a selection of the many scientific results produced by Harvest4D. We will focus on those results that could bring a major impact to the Cultural Heritage domain, namely facilitating the acquisition of the sampled data or providing advanced visual analysis capabilities.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 123, "name": "WIMMER-2016-HARVEST4D-image.png", "type": "image/png", "size": 25487, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1518, 1519, 823, 1520, 1326, 1521, 1522, 193 ], "booktitle": "Proceedings of the 14th Eurographics Workshop on Graphics and Cultural Heritage", "date_from": "2016-10-05", "date_to": "2016-10-07", "doi": "10.2312/gch.20161378", "editor": "Chiara Eva Catalano and Livio De Luca", "event": "GCH 2016", "isbn": "978-3-03868-011-6", "lecturer": [ 1518 ], "location": "Genova, Italy", "pages_from": "19", "pages_to": "22", "publisher": "Eurographics Association", "research_areas": [ "Geometry", "Rendering" ], "keywords": [ "acquisition", "3d scanning", "reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 861, "image_height": 123, "name": "WIMMER-2016-HARVEST4D-image.png", "type": "image/png", "size": 25487, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "WIMMER-2016-HARVEST4D-paper.pdf", "type": "application/pdf", "size": 11624405, "path": "Publication:WIMMER-2016-HARVEST4D", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Harvest4D" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/Harvest4D", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Mofa", "workgroup_id": "rend", "drupal_id": 4209, "drupal_path": "/research/projects/Mofa", "name": "Modern Functional Analysis in Computer Graphics", "name_de": null, "short_title": "Mofa", "website": null, "status": "active", "short_abstract": "The projects develops new mathematical foundations for global-illumination algorithms.", "abstract": "Creating photorealistic images has always been an essential goal in computer graphics. The image generation process builds on a complex mathematical construct, the so-called rendering equation. This equation defines how light interacts with surfaces in a virtual scene, and involves complex surface description models that describe important effects like reflections, glossy surface interactions, and indirect illumination. Solving this equation can be achieved by investing a large amount of time and computational resources, but intelligent methods have been found that greatly speed up the calculations up to an interactive or even real-time frame rates. Both interactive as well as any non-interactive applications such as computer games, visual effects, architectural lighting simulation, urban and automotive design, disaster simulation and many other applications that depend on an accurate light simulation, profit from efficient ways to calculate light transport.\nThese methods can be categorized by being a part of the mathematical field of functional analysis where a large body of research exists because it forms the basis for scientific fields such as quantum mechanics, chaos and ergodic theory, vision and signal processing besides countless specialized applications in areas like structural mechanics, simulation and other engineering problems. Applications of Fourier or Laplace transformations, Spherical Harmonics or Wavelets, just to name a few important approaches, are ubiquitous.\nHowever, despite the considerable amount of research work devoted to finding methods to calculate and analyze the complex light transport in a virtual scene, they remain challenging issues and many inherent properties of light transport are largely unknown.\nOver the course of the last 10 years, a more general form of wavelets, named anisotropic wavelets that introduce directionality to the basis definitions have been proposed. In particular, curvelets and contourlets have already proven to be powerful tools in astrophysics, seismology, fluid dynamics and vision due to their unique properties optimized for natural signals.\nYet, anisotropic wavelets have not been considered for light transport, though they have several advantages over standard wavelets such as a higher sparsity or near-optimal representation. Therefore, the main goal of this project is to develop methods based on anisotropic wavelets that calculate all aspects of light transport more efficiently, delivering a higher image quality with fewer resources, including an adaptation to all principal domains used in computer graphics. Due to their properties, anisotropic wavelets also form an excellent foundation to perform a fundamental multi-scale and multi-directional analysis of light transport which leads to a better understanding and deeper into the process of light transport in virtual scenes.\n", "start_date": "2012-10-01", "end_date": "2016-05-31", "leader_id": { "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", 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"WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Wimmer-thesis", "wonka-2000-VisP", "wonka-2000-VisX", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "xmas-2023", "ymca", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "publications_first": [], "project_leader": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d4307", "d4314", "d4342", "d4386", "d4559", "d4729", "d4958", "d4984", "d9259", "Desiree", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "REPLICATE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "TERAPOINTS", "Treelumination", "UrbanViz", "Wohnen 4.0" ], 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In contrast to traditional graphics hardware methods, which rely on massive oversampling to combat aliasing issues in the rasterization process, we evaluate a closed-form solution of the associated prefilter convolution. This enables the use of a wide range of filter functions with arbitrary kernel sizes, as well as general shading methods such as texture mapping or complex illumination models. Due to the use of analytic solutions, our results are exact in the mathematical sense and provide objective ground-truth for other anti-aliasing methods and enable the rigorous comparison of different models and filters. An efficient implementation on general purpose graphics hardware is discussed and several comparisons to existing techniques and of various filter functions are given.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2632, "image_height": 816, "name": "Auzinger_2013_NSAA-Teaser Image.png", "type": "image/png", "size": 161776, "path": "Publication:Auzinger_2013_NSAA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Teaser Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Teaser Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808, 844, 799, 193 ], "booktitle": "Proceedings of the 18th International Workshop on 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null, "repositum_id": null, "title": "Sampled and Analytic Rasterization", "date": "2013-09", "abstract": "In this poster we present an overview of exact anti-aliasing (AA) methods in rasterization.\nIn contrast to the common supersampling approaches for visibility AA (e.g. MSAA) or both visibility and shading AA (e.g. SSAA, decoupled sampling), prefiltering provides the mathematically exact solution to the aliasing problem.\nInstead of averaging a set a supersamples, the input data is convolved with a suitable low-pass filter before sampling is applied.\nRecent work showed that for both visibility signals and simple shading models, a closed-form solution to the convolution integrals can be found.\nAs our main contribution, we present a classification of both sample-based and analytic AA approaches for rasterization and analyse their strengths and weaknesses.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Teaser image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1780, "image_height": 385, "name": "Auzinger_2013_SAR-Teaser image.png", "type": "image/png", "size": 50569, "path": "Publication:Auzinger_2013_SAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808, 193 ], "booktitle": "Proceedings of the 18th International Workshop on Vision, Modeling and Visualization", "date_from": "2013-09-11", "date_to": "2013-09-13", "event": "VMV 2013", "isbn": "978-3-905674-51-4", "location": "Lugano, Switzerland", "pages_from": "223", "pages_to": "224", "publisher": "Eurographics Association", "series": "VMV ", "research_areas": [ "Rendering" ], 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"image_height": 385, "name": "Auzinger_2013_SAR-Teaser image.png", "type": "image/png", "size": 50569, "path": "Publication:Auzinger_2013_SAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/", "__class": "Publication" }, { "id": "Auzinger_2014_DCGI", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Analytic Rasterization", "date": "2014", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_from": "2014-04-30", "date_to": "2014-04-30", "event": "Invited Talk at Czech Technical University in Prague", "location": "Czech Technical University in Prague, Department of Computer Graphics and Interaction, Prague", "research_areas": [ "Rendering" ], "keywords": [ "antialiasing", "analytic", "prefiltering" ], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Auzinger_2014_DCGI/", "__class": "Publication" }, { "id": "Auzinger_2014_UJA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "GPGPU in Graphics and Visualization", "date": "2014", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_from": "2014-10-15", "date_to": "2014-10-15", "event": "Invited Talk at Universidad de Jaén in Spain", "location": "Universidad de Jaén, Spain", "research_areas": [ "Rendering" ], "keywords": [ "GPGPU", "medical", "visualization", "antialiasing" ], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Auzinger_2014_UJA/", "__class": "Publication" }, { "id": "Auzinger-2015-IST", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Prefiltered Anti-Aliasing on Parallel Hardware", "date": "2015", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_from": "2015-04-29", "event": "Seminar Talk", "location": "IST Austria", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Auzinger-2015-IST/", "__class": "Publication" }, { "id": "auzinger-dissertation", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Sampled and Prefiltered Anti-Aliasing on Parallel Hardware", "date": "2015", "abstract": "", 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We propose to address this problem with a probabilistic approach using Bayesian inference. The desired result of the inference is a predicted probability density function (PDF) specifying for each object in the scene a probability to be attended by the user. To evaluate the quality of a predicted attention PDF, we present a methodology to assess the information value (i.e., likelihood) in the predictions of dierent approaches that can be used to infer object attention. To this end, we propose an experiment based on a visual search task which allows us to determine the object of attention at a certain point in time under controlled conditions.\nWe perform this experiment with a wide range of static and dynamic visual scenes to obtain a ground-truth evaluation data set, allowing us to assess GTOM techniques in a set of 30 particularly challenging cases.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 314, "name": "bernhard-2014-GTOM-thumnail.png", "type": "image/png", "size": 151264, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 731, 779, 193 ], "date_from": "2014-08-08", "date_to": "2014-08-09", "event": "ACM Symposium on Applied Perception (SAP 2014)", "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception (Special Issue SAP 2014)", "lecturer": [ 660 ], "location": "Vancouver, Canada", "number": "3", "pages_from": "14:1", "pages_to": "14:17", "volume": "11", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "object-based attention", "eye-tracking", "virtual environments", "visual attention" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?doid=2663596.2644812", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bernhard-2014-GTOM-draft.pdf", "type": "application/pdf", "size": 9514669, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "thumnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 703, "image_height": 314, "name": "bernhard-2014-GTOM-thumnail.png", "type": "image/png", "size": 151264, "path": "Publication:bernhard-2014-GTOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "bernhard-2014-GTOM-video.mp4", "type": "video/mp4", "size": 29837759, "path": "Publication:bernhard-2014-GTOM", "preview_name": "bernhard-2014-GTOM-video:preview.png", "preview_type": "image/jpeg", "preview_size": 12852, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:video.mp4" } ], "projects_workgroups": [ "Mofa", "illvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/", "__class": "Publication" }, { "id": "Habel_2012_PSP", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Practical Spectral Photography", "date": "2012-05", "abstract": "We introduce a low-cost and compact spectral imaging camera design based on unmodified consumer cameras and a custom camera objective. The device can be used in a high-resolution configuration that measures the spectrum of a column of an imaged scene with up to 0.8 nm spectral resolution, rivalling commercial non-imaging spectrometers, and a mid-resolution\nhyperspectral mode that allows the spectral measurement of a whole image, with up to 5 nm spectral resolution and 120x120 spatial resolution.\nWe develop the necessary calibration methods based on halogen/fluorescent lamps and laser pointers\nto acquire all necessary information about the optical system. \nWe also derive the mathematical methods to interpret and reconstruct spectra directly from the Bayer array images of a standard RGGB camera.\nThis objective design introduces accurate spectral remote sensing to computational photography, with numerous applications in color theory, colorimetry, vision and rendering, making the acquisition of a spectral image as simple as taking a high-dynamic-range image.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Practical Spectral Photography", "filetitle": "Practical Spectral Photography", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 850, "name": "Habel_2012_PSP-Practical Spectral Photography.jpg", "type": "image/jpeg", "size": 492549, "path": "Publication:Habel_2012_PSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 957, 193 ], "date_from": "2012-05-13", "date_to": "2012-05-18", "event": "Eurographics 2012", "journal": "Computer Graphics Forum (Proceedings EUROGRAPHICS 2012)", "lecturer": [ 618 ], "location": "Cagliari, Italy", "number": "2", "pages_from": "449", "pages_to": "458", "volume": "31", "research_areas": [ "Rendering" ], "keywords": [ "Computational Photography", "Spectroscopy", "Computed Tomography Imaging Spectrometer", "Practical" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03024.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Matlab code of EM iteration", "filetitle": "Code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2012_PSP-Code.txt", "type": "text/plain", "size": 403, "path": "Publication:Habel_2012_PSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Code.txt", "thumb_image_sizes": [] }, { "description": "Additional Data Sets and Materials", "filetitle": "Data Sets", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2012_PSP-Data Sets.pdf", "type": "application/pdf", "size": 2532986, "path": "Publication:Habel_2012_PSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Data Sets.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Data Sets:thumb{{size}}.png" }, { "description": "Practical Spectral Photography", "filetitle": "Draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_2012_PSP-Draft.pdf", "type": "application/pdf", "size": 13963126, "path": "Publication:Habel_2012_PSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Draft:thumb{{size}}.png" }, { "description": "Practical Spectral Photography", "filetitle": "Practical Spectral Photography", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 850, "name": "Habel_2012_PSP-Practical Spectral Photography.jpg", "type": "image/jpeg", "size": 492549, "path": "Publication:Habel_2012_PSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/", "__class": "Publication" }, { "id": "hecher-2014-MH", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Comparative Perceptual Study of Soft Shadow Algorithms", "date": "2014-06", "abstract": "We performed a perceptual user study of algorithms that approximate soft shadows in real time. Although a huge body of soft-shadow algorithms have been proposed, to our knowledge this is the first methodical study for comparing different real-time shadow algorithms with respect to their plausibility and visual appearance. We evaluated soft-shadow properties like penumbra overlap with respect to their relevance to shadow perception in a systematic way, and we believe that our results can be useful to guide future shadow approaches in their methods of evaluation. In this study, we also capture the predominant case of an inexperienced user observing shadows without comparing to a reference solution, such as when watching a movie or playing a game. One important result of this experiment is to scientifically verify that real-time soft-shadow algorithms, despite having become physically based and very realistic, can nevertheless be intuitively distinguished from a correct solution by untrained users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 978, "image_height": 850, "name": "hecher-2014-MH-image.png", "type": "image/png", "size": 245534, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 779, 660, 326, 452, 193 ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "number": "5", "pages_from": "5:1", "pages_to": "5:21", "volume": "11", "research_areas": [ "Perception", "Rendering" ], "keywords": [ "Perception Studies", "Soft Shadows" ], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2620029", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "name": "hecher-2014-MH-draft.pdf", "type": "application/pdf", "size": 7731118, "path": "Publication:hecher-2014-MH", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 978, 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scattering in real time on the GPU for computer games.\n\nNext, he'll transition to global illumination and explain a a simple extension to Metropolis Light Transport to improve the convergence speed on a variety of scenes.\n\nThe third part will be about Two Minute Papers, a YouTube web series that he started recently to communicate the most beautiful research results to a general audience.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1072, "image_height": 577, "name": "intel2016-.jpg", "type": "image/jpeg", "size": 40026, "path": "Publication:intel2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png" }, "sync_repositum_override": null, 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This makes them a practical option for real-time production scenarios. Current state-of-the-art, real-time approaches simulate subsurface light transport by approximating the radially symmetric non-separable diffusion kernel with a sum of separable Gaussians, which requires multiple (up to twelve) 1D convolutions. In this work we relax the requirement of radial symmetry to approximate a 2D diffuse reflectance profile by a single separable kernel. We first show that low-rank approximations based on matrix factorization outperform previous approaches, but they still need several passes to get good results. To solve this, we present two different separable models: the first one yields a high-quality diffusion simulation, while the second one offers an attractive trade-off between physical accuracy and artistic control. Both allow rendering subsurface scattering using only two 1D convolutions, reducing both execution time and memory consumption, while delivering results comparable to techniques with higher cost. Using our importance-sampling and jittering strategies, only seven samples per pixel are required. Our methods can be implemented as simple post-processing steps without intrusive changes to existing rendering pipelines.\n\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1381, "image_height": 731, "name": "Jimenez_SSS_2015-teaser.png", "type": "image/png", "size": 1415449, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1236, 1073, 1237, 1128, 808, 1238, 1239, 193, 1240 ], "date_from": "2015-06-23", "date_to": "2015-06-26", "event": "Eurographics Symposium on Rendering (EGSR)", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1128 ], "location": "Darmstadt", "number": "6", "pages_from": "188", "pages_to": "197", "volume": "34", "research_areas": [ "Rendering" ], "keywords": [ "separable", "realtime rendering", "subsurface scattering", "filtering" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12529/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "EGSR 2015 talk slides.", "filetitle": "egsr2015talk", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-egsr2015talk.pptx", "type": "application/zip", "size": 37107902, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-egsr2015talk.pptx", "thumb_image_sizes": [] }, { "description": "Full paper preprint.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-paper.pdf", "type": "application/pdf", "size": 28716442, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper:thumb{{size}}.png" }, { "description": "Additional explanations and results of the method.", "filetitle": "supplementary1", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-supplementary1.pdf", "type": "application/pdf", "size": 27600680, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1:thumb{{size}}.png" }, { "description": "Kernel plots.", "filetitle": "supplementary2", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Jimenez_SSS_2015-supplementary2.pdf", "type": "application/pdf", "size": 4903341, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1381, "image_height": 731, "name": "Jimenez_SSS_2015-teaser.png", "type": "image/png", "size": 1415449, "path": "Publication:Jimenez_SSS_2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Mofa" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/", "__class": "Publication" }, { "id": "LUKSCH-2013-FLM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast Light-Map Computation with Virtual Polygon Lights", "date": "2013-03", "abstract": "We propose a new method for the fast computation of light maps using a many-light global-illumination solution. A complete scene can be light mapped on the order of seconds to minutes, allowing fast and consistent previews for editing or even generation at loading time. \n\nIn our method, virtual point lights are clustered into a set of virtual polygon lights, which represent a compact description of the illumination in the scene. The actual light-map generation is performed directly on the GPU. Our approach degrades gracefully, avoiding objectionable artifacts even for very short computation times. 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light sources can be canceled out, thus enabling to render \na similar image with significantly less number of light sources, \nintroducing a remarkable reduction to the execution time of scenes where many light sources are used.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 400, "image_height": 300, "name": "silvana_2014-.png", "type": "image/png", "size": 88867, "path": "Publication:silvana_2014", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1130 ], "date_end": "2014-02-01", "date_start": "2013-10-01", "matrikelnr": "0605836", "supervisor": [ 193, 1073 ], 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"auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "avr", "workgroup_id": "vis", "drupal_id": 4214, "drupal_path": "/research/projects/avr", "name": "Advanced Volume Rendering", "name_de": null, "short_title": "avr", "website": null, "status": "active", "short_abstract": "Advanced Volume Rendering", "abstract": null, "start_date": "2009-09-01", "end_date": "2015-12-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", "Loeffelmann-1995-RTE", "loeffelmann-1996-CVA", "Loeffelmann-1996-DS3", "loeffelmann-1996-SVM", "Loeffelmann-1997-FV2", "Loeffelmann-1997-HSV", "Loeffelmann-1997-VPM", "Loeffelmann-1998-Enh", "Loeffelmann-1998-EVC", "Loeffelmann-1998-SMURF", "Loeffelmann-1998-VDS", "Loeffelmann-1998-Vis", "Loeffelmann-1998-Visu", "Loeffelmann-1999-SMU", "malik-2007-FP", "malik-2009-CVFA", "malik-2010-cvp", "manylands_award", "Matkovic-2002-Pro", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Meinhart-1998-Tun", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Milik-1997-GMMO", "Milik-1998-Geo", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mindek-2017-marion", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Morar_2012_ISB", "Mroz-1998-Bri", "Mroz-1998-Sel", "Mroz-1998-SelX", "Mroz-1999-Adv", "Mroz-1999-IHQ", "Mroz-1999-MIP", "Mroz-1999-Real", "Mroz-1999-ReaX", "Mroz-2000-Int", "Mroz-2000-Mas", "Mroz-2000-MasX", "Mroz-2000-Rea", "Muigg_2011_VC", "muigg-2011-gpg", "musleh-2023-ugi", "Neumann-2000-Gra", "Neumann-2002-Fea", "oda-2025-artevoviewer", "ortner-2016-tunnel", "ortner-2016-visaware", "Ortner2020", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-kav", "patel-2010-SVV", "patel-2011-PEA", "Peter_2012_AIV", "piringer-2009-hds", "PMI_AR_2012", "preim-2009-sve", "purgathofer-1988-using", "Purgathofer-1994-CPI", "Purgathofer-1999-Gra", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_slicedice", "raidou_visgap2020", "raidou2018visualflatter", "raidou2019_prsps", "rauer-zechmeister-2024-h3p", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Rautek06Vis", 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"varchola_andrej-2012-fetoscopic", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Live Fetoscopic Visualization of 4D Ultrasound Data", "date": "2012-10", "abstract": "Ultrasound (US) imaging is due to its real-time character, low cost, non-invasive nature, high availability, and many other factors, considered a standard diagnostic procedure during pregnancy. The quality of diagnostics depends on many factors, including scanning protocol, data characteristics and visualization algorithms. In this work, several problems of ultrasound data visualization for obstetric ultrasound imaging are discussed and addressed.\r\n\r\nThe capability of ultrasound scanners is growing and modern ultrasound devices produce large amounts of data that have to be processed in real-time. An ultrasound imaging system is in a broad sense a pipeline of several operations and visualization algorithms. Individual algorithms are usually organized in modules that separately process the data. In order to achieve the required level of detail and high quality images with the visualization pipeline, we had to address the flow of large amounts of data on modern computer hardware with limited capacity. We developed a novel architecture of visualization pipeline for ultrasound imaging. This visualization pipeline combines several algorithms, which are described in this work, into the integrated system. In the context of this pipeline, we advocate slice-based streaming as a possible approach for the large data flow problem.\r\n\r\nLive examination of the moving fetus from ultrasound data is a challenging task which requires extensive knowledge of the fetal anatomy and a proficient operation of the ultrasound machine. The fetus is typically occluded by structures which hamper the view in 3D rendered images. We developed a novel method of visualizing the human fetus for prenatal sonography from 3D/4D ultrasound data. It is a fully automatic method that can recognize and render the fetus without occlusion, where the highest priority is to achieve an unobstructed view of the fetal face. Our smart visibility method for prenatal ultrasound is based on a ray-analysis performed within image-based direct volume rendering (DVR). It automatically calculates a clipping surface that removes the uninteresting structures and uncovers the interesting structures of the fetal anatomy behind. The method is able to work with the data streamed on-the-fly from the ultrasound transducer and to visualize a temporal sequence of reconstructed ultrasound data in real time. It has the potential to minimize the interaction of the operator and to improve the comfort of patients by decreasing the investigation time. This can lead to an increased confidence in the prenatal diagnosis with 3D ultrasound and eventually decrease the costs of the investigation.\r\n\r\nUltrasound scanning is very popular among parents who are interested in the health condition of their fetus during pregnancy. Parents usually want to keep the ultrasound images as a memory for the future. Furthermore, convincing images are important for the confident communication of findings between clinicians and parents. Current ultrasound devices offer advanced imaging capabilities, but common visualization methods for volumetric data only provide limited visual fidelity. The standard methods render only images with a plastic-like appearance which do not correspond to naturally looking fetuses. This is partly due to the dynamic and noisy nature of the data which limits the applicability of standard volume visualization techniques. In this thesis, we present a fetoscopic rendering method which aims to reproduce the quality of fetoscopic examinations (i.e., physical endoscopy of the uterus) from 4D sonography data. Based on the requirements of domain experts and the constraints of live ultrasound imaging, we developed a method for high-quality rendering of prenatal examinations. We employ a realistic illumination model which supports shadows, movable light sources, and realistic rendering of the human skin to provide an immersive experience for physicians and parents alike. Beyond aesthetic aspects, the resulting visualizations have also promising diagnostic applications. The presented fetoscopic rendering method has been successfully integrated in the state-of-the-art ultrasound imaging systems of GE Healthcare as HDlive imaging tool. It is daily used in many prenatal imaging centers around the world.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 705, "image_height": 751, "name": "varchola_andrej-2012-fetoscopic-.png", "type": "image/png", "size": 796596, "path": "Publication:varchola_andrej-2012-fetoscopic", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 806 ], "date_end": "2012-09", "date_start": "2009-09", "reviewer_1": [ 166 ], "reviewer_2": [ 693 ], "rigorosum": "2012-10-24", "supervisor": [ 166 ], 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"Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "Photo-Guide", "workgroup_id": "rend", "drupal_id": 4218, "drupal_path": "/research/projects/Photo-Guide", "name": "Photo-Guide: Image-Based City Exploration", "name_de": null, "short_title": "Photo-Guide", "website": null, "status": "active", "short_abstract": "The core idea of the project is the enhancement of current state-of-the art navigation systems by visual information obtained from geo-referenced photographs. The aim is to establish a suite of tools together with algorithmic foundations that will be essential for any large scale image-based guidance project.", "abstract": "\nThe core idea of the project is the enhancement of current state-of-the art navigation systems by visual information obtained from geo-referenced photographs. The aim is to establish a suite of tools together with algorithmic foundations that will be essential for any large scale image-based guidance project.\n\n
\nThe main hypothesis of this project is that in the case of guidance, especially for pedestrians, the first-person perspective is intuitive and leads to natural orientation. In the project we will research how to generate first-person views on top of databases of simple ground-based photographs and classical overview maps. The ultimate idea is a system which allows the user to navigate through a city and even through interiors of buildings guided by the aid of annotated first-person views. Furthermore, the actual creation of the routes shall happen automatically on demand.\n\n
\nExamples of fields that can benefit from the proposed approach are tourism and general entertainment industries, city planners, local governments, simulation and security training, emergency management, civil protection and disaster control, as well as driving simulation to name but a few. Ultimately, the following scientific fields can profit from the proposed basic research results: computer graphics with image processing, computer vision, computational photography, pattern recognition, photogrammetry and remote sensing, cartography, computer aided design, geo-sciences and mobile-technology.", "start_date": "2011-01-01", "end_date": "2015-12-31", "leader_id": { "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", 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"lecturer", "ordernum": 1 }, { "publ_id": "Wonka-2003-Ins", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "WONKA-2006-GVS", "field_id": "lecturer", "ordernum": 1 }, { "publ_id": "yoo-chaeran-2025-pr", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZAU14", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "zeilinger_matthias-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka_Matthias-2023-MatLabOptInterface", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka-2024-FTS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Zezulka-2025-NRL", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Zezulka-2026-FGTS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka-2026-GridThermalSim", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "zhang-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:Photo-Guide", "type": "image/png", "size": 477315, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/Photo-Guide/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": "P23237-N23", "comment": null, "funding_organisation": { "id": "fwf", "drupal_id": 4142, "name": "FWF", "logo": { "name": "logo.png", "type": "image/png", "size": 971, "orig_name": "logo.png", "path": "FundingOrganisation:fwf", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/fwf/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "AngioVis", "contract_number": "P 15217", "comment": null }, { "id": "Desiree", "contract_number": "P20768-N13", "comment": null }, { "id": "deskollage", "contract_number": "T 752-N30", "comment": null }, { "id": "exvisation", "contract_number": "P 18322-N04", "comment": null }, { "id": "GPV", "contract_number": "P21130-N13", "comment": null }, { "id": "Illustrare", "contract_number": "I 2953-N31", "comment": null }, { "id": "INTRA-SPACE", "contract_number": null, "comment": null }, { "id": "KASI", "contract_number": "TRP 67-N23", "comment": null }, { "id": "MAKE-IT-FAB", "contract_number": "P27972-N31", "comment": null }, { "id": "MARG", "contract_number": null, "comment": null }, { "id": "Mofa", "contract_number": "P23700-N23", "comment": null }, { "id": "OpenData", "contract_number": "ORD 61", "comment": null }, { "id": "PAMINA", "contract_number": "P24600-N23", "comment": null }, { "id": "PathSpace", "contract_number": "P27974", "comment": null }, { "id": "Photo-Guide", "contract_number": "P23237-N23", "comment": null }, { "id": "PVG", "contract_number": "P 18547-N04", "comment": null }, { "id": "Semantic Steering", "contract_number": "P 22542-N23", "comment": null }, { "id": "ShapeAcquisition", "contract_number": "P24600-N23", "comment": null }, { "id": "Skydome", "contract_number": null, "comment": null }, { "id": "Superhumans", "contract_number": "P32418-N31", "comment": "332.780,70 €" }, { "id": "Treelumination", "contract_number": "P17261-N04", "comment": null }, { "id": "UrbanViz", "contract_number": null, "comment": null }, { "id": "ViMaL", "contract_number": "P 21695-N23", "comment": null }, { "id": "VISAR", "contract_number": "P 24597-N23", "comment": null }, { "id": "Visual Computing", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=fwf", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" } ], "publications": [ { "id": "Adorjan-2015", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "The OpenSFM Database", "date": "2015", "abstract": "Besides using high-cost laser scanning equipment to capture large point clouds for topographical or architectural purposes, nowadays other, more affordable approaches exist. Structure-from-motion (SfM) in combination with multi-view stereo (MVS) is such a low-cost photogrammetric method used to generate large point datasets. It refers to the process of estimating three-dimensional structures out of two-dimensional image sequences. These sequences can even be captured with conventional consumer-grade digital cameras.\n\nIn our work we aim to a establish a free and fully accessible structure-from-motion system, based on the idea of collaborative projects like OpenStreetMap. Our client-server system, called OpenSfM, consists of a web front-end which lets the user explore, upload and edit SfM-datasets and a back-end that answers client requests and processes the uploaded data and stores it in a database.\n\nThe front-end is a virtual tourism client which allows the exploration of georeferenced point clouds together with their corresponding SfM-data like camera parameters and photos. The information is rendered in the context of an interactive virtual globe. An upload functionality makes it possible to integrate new SfM-datasets into the system and improve or extend existing datasets by adding images that fill missing areas of the affected point cloud. Furthermore, an edit mode allows the correction of georeferencing or reconstruction errors.\n\nOn the other side the back-end evaluates the uploaded information and generates georeferenced point datasets using a state-of-the-art SfM engine and the GPS data stored in the uploaded images. The generated point clouds are preprocessed, such that they can be used by the front-end’s point cloud renderer. After that, they are stored together with the uploaded images and SfM parameters in the underlying database.\n\nOn the whole, our system allows the gathering of SfM-datasets that represent different sights or landmarks, but also just locally famous buildings, placed all over the world. Those datasets can be explored in an interactive way by every user who accesses the virtual tourism client using a web browser.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1041 ], "date_end": "2016-05-02", "date_start": "2015-03-04", "matrikelnr": "0927290 ", "supervisor": [ 836, 193 ], "research_areas": [ "Modeling", "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Adorjan-2015-thesis.pdf", "type": "application/adobe", "size": 2207417, "path": "Publication:Adorjan-2015", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Adorjan-2015/Adorjan-2015-thesis.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Adorjan-2015/", "__class": "Publication" }, { "id": "albillos-2013-MA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Fast methods for interactive stylized line rendering", "date": "2013", "abstract": "project abandoned after no progress in one year (student was Erasmus from Spain)", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "albillos-2013-MA-.pdf", "type": "application/pdf", "size": 27952017, "path": "Publication:albillos-2013-MA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/albillos-2013-MA/albillos-2013-MA-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/albillos-2013-MA/albillos-2013-MA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1100 ], "date_start": "2013-04-01", "matrikelnr": "1227741", "supervisor": [ 844 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "albillos-2013-MA-.pdf", "type": "application/pdf", "size": 27952017, "path": "Publication:albillos-2013-MA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/albillos-2013-MA/albillos-2013-MA-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/albillos-2013-MA/albillos-2013-MA-:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/albillos-2013-MA/", "__class": "Publication" }, { "id": "birsak-2013-sta", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Seamless Texturing of Archaeological Data", "date": "2013-10", "abstract": "In this paper we propose a framework for out-of-core real-time rendering of high-quality textured archaeological data-sets. Our input is a triangle mesh and a set of calibrated and registered photographs. Our system performs the actual mapping of the photos to the mesh for high-quality reconstructions, which is a task referred to as the labeling problem. Another problem of such mappings are seams that arise on junctions between triangles that contain information from different photos. These are are approached with blending methods, referred to as leveling. We address both problems and introduce a novel labeling approach based on occlusion detection using depth maps that prevents texturing of parts of the model with images that do not contain the expected region. Moreover, we propose an improved approach for seam-leveling that penalizes too large values and helps to keep the resulting colors in a valid range. For high-performance visualization of the 3D models with a huge amount of textures, we make use of virtual texturing, and present an application that generates the needed texture atlas in significantly less time than existing scripts. Finally, we show how the mentioned components are integrated into a visualization application for digitized archaeological site.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumb", "filetitle": "thumb", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 652, "name": "birsak-2013-sta-thumb.jpg", "type": "image/jpeg", "size": 123764, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 865, 193 ], "booktitle": "Digital Heritage International Congress (DigitalHeritage), 2013", "date_from": "2013-10-28", "date_to": "2013-11-01", "isbn": "978-1-4799-3168-2 ", "lecturer": [ 836 ], "location": "Marseille, France", "note": "DOI: 10.1109/DigitalHeritage.2013.6743749", "pages_from": "265", "pages_to": "272 ", "publisher": "IEEE", "research_areas": [ "Rendering" ], "keywords": [ "digital cultural heritage", "out-of-core real-time rendering", "seamless texturing", "virtual texturing" ], "weblinks": [], "files": [ { "description": "paper draft", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "birsak-2013-sta-preprint.pdf", "type": "application/pdf", "size": 2939089, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-preprint:thumb{{size}}.png" }, { "description": "thumb", "filetitle": "thumb", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 652, "name": "birsak-2013-sta-thumb.jpg", "type": "image/jpeg", "size": 123764, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1282, "image_height": 712, "name": "birsak-2013-sta-thumbnail.jpg", "type": "image/jpeg", "size": 184340, "path": "Publication:birsak-2013-sta", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/", "__class": "Publication" }, { "id": "birsak-2014-agtb", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Automatic Generation of Tourist Brochures", "date": "2014-04", "abstract": "We present a novel framework for the automatic generation of tourist brochures that include routing instructions and additional information presented in the form of so-called detail lenses.\nThe first contribution of this paper is the automatic creation of layouts for the brochures. Our approach is based on the minimization of an energy function that combines multiple goals: positioning of the lenses as close as possible to the corresponding region shown in an overview map, keeping the number of lenses low, and an efficient numbering of the lenses.\nThe second contribution is a route-aware simplification of the graph of streets used for traveling between the points of interest (POIs). This is done by reducing the graph consisting of all shortest paths through the minimization of an energy function. The output is a subset of street segments that enable traveling between all the POIs without considerable detours, while at the same time guaranteeing a clutter-free visualization.\n\nVideo: http://www.youtube.com/watch?v=t3w7uxzSR-Y", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1063, "image_height": 553, "name": "birsak-2014-agtb-image.png", "type": "image/png", "size": 497017, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 194, 193 ], "date_from": "2014-04-07", "date_to": "2014-04-11", "event": "EUROGRAPHICS 2014", "issn": "1467-8659", "journal": "Computer Graphics Forum (Proceedings of EUROGRAPHICS 2014)", "lecturer": [ 836 ], "location": "Strasbourg, France", "number": "2", "pages_from": "449", "pages_to": "458", "volume": "33", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12333/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "example brochures", "filetitle": "examples", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2014-agtb-examples.rar", "type": "application/x-rar", "size": 16542177, "path": "Publication:birsak-2014-agtb", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-examples.rar", "thumb_image_sizes": [] }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1063, 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Our framework is suitable for helping users explore their environment.\nFirst, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2002, "image_height": 1246, "name": "birsak-2017-dpe-thumbnail.png", "type": "image/png", "size": 1540567, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 844, 194, 193 ], "doi": "10.1109/TVCG.2017.2690294", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and 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"https://www.cg.tuwien.ac.at/research/publications/2018/birsak-thesis/", "__class": "Publication" }, { "id": "charpenay-2013-PR", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Adaptive Garbor Noise Sampling", "date": "2013", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "collage", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1062, "name": "charpenay-2013-PR-image.jpg", "type": "image/jpeg", "size": 410614, "path": "Publication:charpenay-2013-PR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1102 ], "date_end": "2013-08-30", "date_start": "2013-05-01", "supervisor": [ 844 ], "research_areas": [], "keywords": [ "Garbor Noise", "Procedural Texture" ], "weblinks": [], "files": [ { "description": "collage", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1062, "name": "charpenay-2013-PR-image.jpg", "type": "image/jpeg", "size": 410614, "path": "Publication:charpenay-2013-PR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/", "__class": "Publication" }, { "id": "charpenay-2014-sgn", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Sampling Gabor Noise in the Spatial Domain", "date": "2014-05", "abstract": "Gabor noise is a powerful technique for procedural texture generation. Contrary to other types of procedural noise, its sparse convolution aspect makes it easily controllable locally. In this paper, we demonstrate this property by explicitly introducing spatial variations. We do so by linking the sparse convolution process to the parametrization of the underlying surface. Using this approach, it is possible to provide control maps for the parameters in a natural and convenient way. In order to derive intuitive control of the resulting textures, we accomplish a small study of the influence of the parameters of the Gabor kernel with respect to the outcome and we introduce a solution where we bind values such as the frequency or the orientation of the Gabor kernel to a user-provided control map in order to produce novel visual effects.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1750, "image_height": 776, "name": "charpenay-2014-sgn-image.png", "type": "image/png", "size": 1102546, "path": "Publication:charpenay-2014-sgn", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1102, 1120, 844 ], "booktitle": "Proceedings of the 30th Spring Conference on Computer Graphics - SCCG ", "date_from": "2014-05-28", "date_to": "2014-05-30", "editor": "Diego Gutierrez", "isbn": "978-80-223-3601-7", "lecturer": [ 1102 ], "location": "Smolenice castle, Slovakia", "pages_from": "79", "pages_to": "82", "publisher": "ACM Press", "research_areas": [ "Rendering" ], "keywords": [ "texture synthesis", "Gabor noise", "procedural texture" ], "weblinks": [], "files": { "0": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1750, "image_height": 776, "name": "charpenay-2014-sgn-image.png", "type": "image/png", "size": 1102546, "path": "Publication:charpenay-2014-sgn", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image:thumb{{size}}.png" }, "1": { "description": "paper", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "charpenay-2014-sgn-paper.pdf", "type": "application/pdf", "size": 11296262, "path": "Publication:charpenay-2014-sgn", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-paper:thumb{{size}}.png" }, "3": { "description": "video", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "charpenay-2014-sgn-video.mp4", "type": "video/mp4", "size": 45324273, "path": "Publication:charpenay-2014-sgn", "preview_name": "charpenay-2014-sgn-video:preview.png", "preview_type": "image/jpeg", "preview_size": 20427, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video:video.mp4" } }, "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/", "__class": "Publication" }, { "id": "fan-2014-scfl", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Structure Completion for Facade Layouts", "date": "2014-11", "abstract": "We present a method to complete missing structures in facade layouts. Starting from an abstraction of the partially observed layout as a set of shapes, we can propose one or multiple possible completed layouts. Structure completion with large missing parts is an ill-posed problem. Therefore, we combine two sources of information to derive our solution: the observed shapes and a database of complete layouts. The problem is also very difficult, because shape positions and attributes have to be estimated jointly. Our proposed solution is to break the problem into two components: a statistical model to evaluate layouts and a planning algorithm to generate candidate layouts. This ensures that the completed result is consistent with the observation and the layouts in the database.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 614, "name": "fan-2014-scfl-image.png", "type": "image/png", "size": 541257, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1197, 844, 1198, 194 ], "date_from": "2014-12-03", "date_to": "2014-12-06", "event": "ACM SIGGRAPH Asia", "journal": "ACM Transactions on Graphics (ACM SIGGRAPH Asia 2014)", "lecturer": [ 1197 ], "location": "Shenzhen, China", "number": "6", "pages_from": "210:1", "pages_to": "210:11", "volume": "33", "research_areas": [ "Modeling" ], "keywords": [ "facade modeling", "facade completion", "structure completion", "urban modeling" ], "weblinks": [ { "href": "http://dx.doi.org/10.1145/2661229.2661265", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "additional", "filetitle": "additional", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fan-2014-scfl-additional.pdf", "type": "application/pdf", "size": 6068487, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-additional.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-additional:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1141, "image_height": 614, "name": "fan-2014-scfl-image.png", "type": "image/png", "size": 541257, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image:thumb{{size}}.png" }, { "description": "highres [62MB]", "filetitle": "preprint-highres", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fan-2014-scfl-preprint-highres.pdf", "type": "application/pdf", "size": 64922493, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint-highres.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint-highres:thumb{{size}}.png" }, { "description": "lowres [6MB]", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fan-2014-scfl-preprint.pdf", "type": "application/pdf", "size": 5664638, "path": "Publication:fan-2014-scfl", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide", "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/", "__class": "Publication" }, { "id": "kendlbacher-2016", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Introduction Of OpenStreetMap For The Automatic Generation Of Destination Maps", "date": "2016", "abstract": "A destination map allows all travelers, within the given region of interest, to reach\nthe same destination, no matter where exactly they start their journey at. For this\npurpose the important roads for traversing the road network are chosen, while the\nnon-important roads are removed for clarity. These selected roads are then simplified\nto reduce unnecessary complexity, while maintaining the structure of the road network.\nThe chosen data is then tweaked to increase the visibility of the small roads. During this\nprocess the layout is iteratively changed and evaluated according to certain aspects, and\nif a newly proposed layout performs better than the old one, that new one forms the basis\nfor all future changes. In this work a method for automatically creating destination maps\nis implemented based on the algorithm proposed in the paper by Kopf et al. [KAB+10],\nwith efforts made to improve the original work.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1759, "image_height": 976, "name": "kendlbacher-2016-image.png", "type": "image/png", "size": 389202, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1274 ], "co_supervisor": [ 836 ], "date_end": "2016", "date_start": "2015", "matrikelnr": "1128051", "supervisor": [ 193 ], "research_areas": [ "Modeling", "Rendering" ], "keywords": [ "Destination Maps", "OpenStreetMap" ], "weblinks": [], "files": [ { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1759, "image_height": 976, "name": "kendlbacher-2016-image.png", "type": "image/png", "size": 389202, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png" }, { "description": "Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kendlbacher-2016-thesis.pdf", "type": "application/pdf", "size": 7646019, "path": "Publication:kendlbacher-2016", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/", "__class": "Publication" }, { "id": "koessler-2013-BA", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Feature-Adaptive Catmull-Clark Subdivision on the GPU", "date": "2013", "abstract": "Catmull-Clark subdivision is a powerful standard modeling technique and has already been used extensively in CGI for motion pictures or computer games. An artist creates a coarse polygon mesh, that is computationally converted into a high-quality smooth surface. Due to the recursive nature of the subdivision algorithm and the large number of polygons, that are generated during the mesh-refinement, it is not well suited for realtime-environments. There exist several approaches\r\nto generate a Catmull-Clark subdivision surface which use current GPU technologies to overcome these issues.\r\n\r\nIn this thesis, we use Compute Shaders for subdivision and a Cubic Bezier Patch which takes advantage of the tessellation pipeline to get an optimized algorithm without the loss of visual quality. With the presented method, the support of (Semi)Sharp Creases, which are an important feature to achieve a more realistic look, is also given. The practical part of this thesis is integrated into the Helix 3D Toolkit SharpDX Framework. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1110, "name": "koessler-2013-BA-image.png", "type": "image/png", "size": 401209, "path": "Publication:koessler-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1101 ], "date_end": "2013-09-30", "date_start": "2013-05-15", "matrikelnr": "0928004", "supervisor": [ 844 ], "research_areas": [], "keywords": [ "subdivision surfaces", "geometric modeling", "GPU tessellation", "computer graphics" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1650, "image_height": 1110, "name": "koessler-2013-BA-image.png", "type": "image/png", "size": 401209, "path": "Publication:koessler-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "koessler-2013-BA-thesis.pdf", "type": "application/pdf", "size": 13879800, "path": "Publication:koessler-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/", "__class": "Publication" }, { "id": "Kollmann-2015-DoF", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Depth of Field: Point Splatting on Per-Pixel Layers", "date": "2015-09", "abstract": "This bachelor’s thesis is about a depth of field rendering algorithm using point splatting on per-pixel layers. The intuitive procedure just uses specific adjustable parameters for the lens of a camera to generate the desired effect in real-time. Using nothing but the depth information of a scene, the depth of field can be computed.\r\nThe so called circles of confusion are the representing value of the blur rate for objects that are out of focus. Depending on the distance between the focal plane and the current pixel, an expansion takes place because of the redirecting nature of a lens. The following required information is retrieved using an intensity distribution function.\r\nTo avoid intensity leakage and provide a full opaque picture, the entire effect is done discrete on the screen space. This prevents subsampling and enables almost correct alpha value normalization.\r\nAs stated before, an intensity distribution function is required, but in a discrete form. This is an addition to the paper, where that function is preprocessed in the application and provided for the shader directly. A high resolution texture of the desired intensity distribution function is provided as input to a shader program that renders multiple discrete versions. Another further addition prepares the texture by normalization, consuming more memory, but saving lots of time during computation.\r\nThe last part of this paper includes a defocused highlights implementation, where a tone-mapping is applied to mimic them. In general, the luminance of a pixel is computed by a simple formula, summing up the three colors with adjustment factors. Depending on this value and some parameters, the color is adjusted where bright regions are enhanced to construct this effect.\r\nThis thesis implements and extends this work and is used to test its performance after seven years when it was published. Using different configurations for the effect, the provided stable framerates of the results are used as metric for benchmarking.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1026, "image_height": 568, "name": "Kollmann-2015-DoF-image.png", "type": "image/png", "size": 181249, "path": "Publication:Kollmann-2015-DoF", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1212 ], "date_end": "2015-09-15", "date_start": "2014-09-15", "matrikelnr": "1126633", "supervisor": [ 844, 779, 193 ], "research_areas": [], "keywords": [ "depth-of-field", "deferred rendering", "real-time rendering" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1026, "image_height": 568, "name": "Kollmann-2015-DoF-image.png", "type": "image/png", "size": 181249, "path": "Publication:Kollmann-2015-DoF", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kollmann-2015-DoF-thesis.pdf", "type": "application/pdf", "size": 3004539, "path": "Publication:Kollmann-2015-DoF", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/", "__class": "Publication" }, { "id": "liu-2012-tcvd", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Tensor Completion for Estimating Missing Values in Visual Data", "date": "2012-01", "abstract": "In this paper we propose an algorithm to estimate missing values in tensors of visual data. Our methodology is built on recent studies about matrix completion using the matrix trace norm. The contribution of our paper is to extend the matrix case to the tensor case by proposing the first definition of the trace norm for tensors and then by building a working algorithm. First, we propose a definition for the tensor trace norm, that generalizes the established definition of the matrix trace norm. Second, similar to matrix completion, the tensor completion is formulated as a convex optimization problem. We developed three algorithms: SiLRTC, FaLRTC, and HaLRTC. The SiLRTC algorithm is simple to implement and employs a relaxation technique to separate the dependant relationships and uses the block coordinate descent (BCD) method to achieve a globally optimal solution; The FaLRTC algorithm utilizes a smoothing scheme to transform the original nonsmooth problem into a smooth one; The HaLRTC algorithm applies the alternating direction method of multipliers (ADMM) to our problem. Our experiments show potential applications of our algorithms and the quantitative evaluation indicates that our methods are more accurate and robust than heuristic approaches.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 90, "name": "liu-2012-tcvd-image.jpg", "type": "image/jpeg", "size": 19710, "path": "Publication:liu-2012-tcvd", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 985, 844, 194, 986 ], "issn": "0162-8828", "journal": "IEEE Transactions on Pattern Analysis & Machine Intelligence (PAMI)", "number": "1", "pages_from": "208", "pages_to": "220", "volume": "35", "research_areas": [], "keywords": [ "matrix completion", "trace norm", "tensor completion" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6138863", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 90, "name": "liu-2012-tcvd-image.jpg", "type": "image/jpeg", "size": 19710, "path": "Publication:liu-2012-tcvd", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 653, "image_height": 429, "name": "liu-2012-tcvd-image.png", "type": "image/png", "size": 352833, "path": "Publication:liu-2012-tcvd", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "liu-2012-tcvd-preprint.pdf", "type": "application/pdf", "size": 2140279, "path": "Publication:liu-2012-tcvd", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/", "__class": "Publication" }, { "id": "manpreet_kainth-2012-rus", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Rendering of Urban Scenes", "date": "2012", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1344, "image_height": 1008, "name": "manpreet_kainth-2012-rus-.png", "type": "image/png", "size": 1100861, "path": "Publication:manpreet_kainth-2012-rus", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1022 ], "date_end": "2012-07-23", "date_start": "2012-06-01", "matrikelnr": "0000", "supervisor": [ 844 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1344, "image_height": 1008, "name": "manpreet_kainth-2012-rus-.png", "type": "image/png", "size": 1100861, "path": "Publication:manpreet_kainth-2012-rus", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/", "__class": "Publication" }, { "id": "musialski_2012_aachen", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Image-Based Approaches for Facade Reconstruction", "date": "2012", "abstract": "Modeling and reconstruction of urban environments is currently the subject of intensive\r\nresearch. There is a wide range of possible applications, like cyber-tourism, computer\r\ngames, and the entertainment industries in general, as well as urban planning, architecture,\r\ntraffic simulation, driving guidance, to name but a few. In this talk I will present one specific\r\nsubfield of urban reconstruction: image-based facade modeling and reconstruction. In\r\nparticular I will provide an overview of recent automatic and interactive approaches which aim\r\nat the decomposition of facade imagery in order to generate well defined geometric models.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 674, "image_height": 505, "name": "musialski_2012_aachen-image.jpg", "type": "image/jpeg", "size": 62023, "path": "Publication:musialski_2012_aachen", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2012-08-22", "date_to": "2012-08-22", "event": "Invited talk at RWTH Aachen University, Computer Graphics Group", "location": "RWTH Aachen, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 674, "image_height": 505, "name": "musialski_2012_aachen-image.jpg", "type": "image/jpeg", "size": 62023, "path": "Publication:musialski_2012_aachen", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image:thumb{{size}}.png" }, { "description": "slides of the talk", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2012_aachen-slides.pdf", "type": "application/pdf", "size": 3872096, "path": "Publication:musialski_2012_aachen", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/", "__class": "Publication" }, { "id": "musialski_2012_fice", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Framework for Interactive Image Color Editing", "date": "2012-11", "abstract": "We propose a new method for interactive image color replacement that creates smooth and naturally looking results with minimal user interaction. Our system expects as input a source image and rawly scribbled target color values and generates high quality results in interactive rates. To achieve this goal we introduce an algorithm that preserves pairwise distances of the signatures in the original image and simultaneously maps the color to the user defined target values. We propose efficient sub-sampling in order to reduce the computational load and adapt semi-supervised locally linear embedding to optimize the constraints in one objective function. We show the application of the algorithm on typical photographs and compare the results to other color replacement methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2061, "image_height": 925, "name": "musialski_2012_fice-teaser.jpg", "type": "image/jpeg", "size": 347836, "path": "Publication:musialski_2012_fice", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 1032, 986, 811, 194 ], "journal": "The Visual Computer", "number": "11", "pages_from": "1173", "pages_to": "1186", "volume": "29", "research_areas": [], "keywords": [ "interactive image editing", "color manipulation", "image processing", "recoloring", "computational photography" ], "weblinks": [ { "href": "http://www.springerlink.com/content/q1272h717v1q3262/", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "MATLAB code", "filetitle": "code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2012_fice-code.rar", "type": "application/x-rar", "size": 12828879, "path": "Publication:musialski_2012_fice", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-code.rar", "thumb_image_sizes": [] }, { "description": "comparison to other methods", "filetitle": "comparison", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1157, "image_height": 1389, "name": "musialski_2012_fice-comparison.jpg", "type": "image/jpeg", "size": 317713, "path": "Publication:musialski_2012_fice", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-comparison.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-comparison:thumb{{size}}.png" }, { "description": "paper draft [8MB]", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2012_fice-draft.pdf", "type": "application/pdf", "size": 7897867, "path": "Publication:musialski_2012_fice", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-draft:thumb{{size}}.png" }, { "description": "results of the proposed method", "filetitle": "results", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3187, "image_height": 2928, "name": "musialski_2012_fice-results.jpg", "type": "image/jpeg", "size": 1035913, "path": "Publication:musialski_2012_fice", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-results.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-results:thumb{{size}}.png" }, { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2061, "image_height": 925, "name": "musialski_2012_fice-teaser.jpg", "type": "image/jpeg", "size": 347836, "path": "Publication:musialski_2012_fice", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/", "__class": "Publication" }, { "id": "musialski-2012-icb", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interactive Coherence-Based Façade Modeling", "date": "2012-05", "abstract": "We propose a novel interactive framework for modeling building façades from images. Our method is based on the notion of coherence-based editing which allows exploiting partial symmetries across the façade at any level of detail. The proposed workflow mixes manual interaction with automatic splitting and grouping operations based on unsupervised cluster analysis. In contrast to previous work, our approach leads to detailed 3d geometric models with up to several thousand regions per façade. We compare our modeling scheme to others and evaluate our approach in a user study with an experienced user and several novice users.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1411, "image_height": 600, "name": "musialski-2012-icb-image.png", "type": "image/png", "size": 797798, "path": "Publication:musialski-2012-icb", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 193, 194 ], "date_from": "2012-05-13", "date_to": "2012-05-18", "event": "Eurographics 2012", "journal": "Computer Graphics Forum (Proceedings of EUROGRAPHICS 2012)", "lecturer": [ 844 ], "location": "Cagliari, Sardinia, Italy", "number": "2", "pages_from": "661", "pages_to": "670", "volume": "31", "research_areas": [ "Modeling" ], "keywords": [ "facade modeling", "urban modeling", "facade reconstruction", "image-based modeling" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03045.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": { "0": { "description": "[31 MB] The definitive version is available at http://diglib.eg.org and http://onlinelibrary.wiley.com", "filetitle": "draft-hires", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2012-icb-draft-hires.pdf", "type": "application/pdf", "size": 32048156, "path": "Publication:musialski-2012-icb", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-hires.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-hires:thumb{{size}}.png" }, "1": { "description": "[4 MB] The definitive version is available at http://diglib.eg.org and http://onlinelibrary.wiley.com", "filetitle": "draft-lowres", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2012-icb-draft-lowres.pdf", "type": "application/pdf", "size": 3913005, "path": "Publication:musialski-2012-icb", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-lowres.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-lowres:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1411, "image_height": 600, "name": "musialski-2012-icb-image.png", "type": "image/png", "size": 797798, "path": "Publication:musialski-2012-icb", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image:thumb{{size}}.png" }, "4": { "description": "[25 MB]", "filetitle": "supplemental-material", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2012-icb-supplemental-material.pdf", "type": "application/pdf", "size": 26415138, "path": "Publication:musialski-2012-icb", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-supplemental-material.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-supplemental-material:thumb{{size}}.png" } }, "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/", "__class": "Publication" }, { "id": "musialski-2012-sur", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "A Survey of Urban Reconstruction", "date": "2012-05", "abstract": "This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under very active research. The work reviewed in this survey stems from the following three research communities: computer graphics, computer vision, and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1256, "image_height": 541, "name": "musialski-2012-sur-image.jpg", "type": "image/jpeg", "size": 342681, "path": "Publication:musialski-2012-sur", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 194, 955, 193, 954, 190 ], "booktitle": "EUROGRAPHICS 2012 State of the Art Reports", "date_from": "2012-05-13", "date_to": "2012-05-18", "lecturer": [ 844, 193 ], "location": "Cagliari, Sardinia, Italy", "pages_from": "1", "pages_to": "28", "publisher": "Eurographics Association", "series": "EG STARs", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "facade modeling", "structure from motion", "multi-view stereo", "urban reconstruction", "inverse-procedural modeling", "urban modeling", "image-based modeling", "city reconstruction", "state-of-the-art report" ], "weblinks": [], "files": { "0": { "description": "final draft of the paper [12 MB]", "filetitle": "draft-hires", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2012-sur-draft-hires.pdf", "type": "application/pdf", "size": 13214728, "path": "Publication:musialski-2012-sur", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-hires.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-hires:thumb{{size}}.png" }, "1": { "description": "final draft of the paper [3 MB]", "filetitle": "draft-lowres", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2012-sur-draft-lowres.pdf", "type": "application/pdf", "size": 3385603, "path": "Publication:musialski-2012-sur", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-lowres.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-lowres:thumb{{size}}.png" }, "2": { "description": "Overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1256, "image_height": 541, "name": "musialski-2012-sur-image.jpg", "type": "image/jpeg", "size": 342681, "path": "Publication:musialski-2012-sur", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image:thumb{{size}}.png" }, "4": { "description": "presentation slides [10 MB]", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2012-sur-slides.pdf", "type": "application/pdf", "size": 9723563, "path": "Publication:musialski-2012-sur", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-slides:thumb{{size}}.png" } }, "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/", "__class": "Publication" }, { "id": "Musialski-2013-ipmum", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Inverse-Procedural Methods for Urban Models", "date": "2013-05", "abstract": "Procedural modeling is an elegant and fast way to generate huge complex and realistically looking urban sites. Due to its generative nature it can also be referred to as forward-procedural modeling. Its major drawback is the usually quite complicated way of control. To overcome this difficulty a novel modeling paradigm has been introduced: it is commonly referred to as inverse procedural modeling, and its goal is to generate compact procedural descriptions of existing models---in the best case in an automatic manner as possible. These compact procedural representations can be used as a source for the synthesis of identical or similar objects, applied in various simulations and other studies of urban environments. We believe that this technology is still a widely unexplored ground and that it will prove itself as a very important tool in the reconstruction process. In this paper we sketch how inverse procedural modeling can be applied in the urban modeling field.", "authors_et_al": false, "substitute": null, "main_image": { "description": "ipm-pipeline scheme", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 585, "name": "Musialski-2013-ipmum-image.png", "type": "image/png", "size": 253885, "path": "Publication:Musialski-2013-ipmum", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 193 ], "booktitle": "Proceedings of Eurographics Workshop on Urban Data Modelling and Visualisation (UDMV 2013)", "date_from": "2013-05-05", "date_to": "2013-05-05", "editor": "V. Tourre and G. Besuievsky", "isbn": "978-3-905674-46-0", "issn": "2307-8251", "lecturer": [ 844 ], "location": "Girona, Spain", "pages_from": "31", "pages_to": "32", "publisher": "Eurographics Association", "research_areas": [ "Modeling" ], "keywords": [ "inverse procedural modeling", "urban modeling", "urban reconstruction" ], "weblinks": [], "files": [ { "description": "ipm-pipeline scheme", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 585, "name": "Musialski-2013-ipmum-image.png", "type": "image/png", "size": 253885, "path": "Publication:Musialski-2013-ipmum", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper-draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Musialski-2013-ipmum-paper-draft.pdf", "type": "application/pdf", "size": 326400, "path": "Publication:Musialski-2013-ipmum", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-paper-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-paper-draft:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/", "__class": "Publication" }, { "id": "musialski-2013-prag", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Facade Reconstruction: An Interactive Image-Based Approach", "date": "2013", "abstract": "Modeling and reconstruction of urban environments is currently the subject of\r\nintensive research. In this talk I will present one specific subfield of urban\r\nreconstruction: interactive image-based facade reconstruction. In particular I will\r\nintroduce insights into image-based interactive approaches which aim at the\r\ndecomposition of facade imagery in order to generate well defined geometric\r\nmodels.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 960, "image_height": 720, "name": "musialski-2013-prag-image.jpg", "type": "image/jpeg", "size": 68251, "path": "Publication:musialski-2013-prag", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2013-06-06", "date_to": "2013-06-06", "event": "Invited Talk at Czech Technical University in Prague", "location": "Czech Technical University in Prague, Department of Computer Graphics and Interaction, Prague", "research_areas": [], "keywords": [ "facade reconstruction", "urban reconstruction" ], "weblinks": [], "files": [ { "description": "", "filetitle": "abstract", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2013-prag-abstract.pdf", "type": "application/pdf", "size": 21125, "path": "Publication:musialski-2013-prag", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-abstract:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 960, "image_height": 720, "name": "musialski-2013-prag-image.jpg", "type": "image/jpeg", "size": 68251, "path": "Publication:musialski-2013-prag", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image:thumb{{size}}.png" }, { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2013-prag-slides.pdf", "type": "application/pdf", "size": 7971480, "path": "Publication:musialski-2013-prag", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/", "__class": "Publication" }, { "id": "musialski-2013-surcgf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Survey of Urban Reconstruction", "date": "2013-09", "abstract": "This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under very active research. The work reviewed in this survey stems from the following three research communities: computer graphics, computer vision, and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved.", "authors_et_al": false, "substitute": null, "main_image": { "description": "overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 517, "name": "musialski-2013-surcgf-image.jpg", "type": "image/jpeg", "size": 285731, "path": "Publication:musialski-2013-surcgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 194, 955, 193, 954, 190 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "6", "pages_from": "146", "pages_to": "177", "volume": "32", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "facade modeling", "state-of-the-art report", "multi-view stereo", "structure from motion", "urban modeling", "urban reconstruction", "inverse-procedural modeling", "facade reconstruction" ], "weblinks": [ { "href": "http://doi.wiley.com/10.1111/cgf.12077", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "draft", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2013-surcgf-draft.pdf", "type": "application/pdf", "size": 6176644, "path": "Publication:musialski-2013-surcgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-draft:thumb{{size}}.png" }, { "description": "overview", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 517, "name": "musialski-2013-surcgf-image.jpg", "type": "image/jpeg", "size": 285731, "path": "Publication:musialski-2013-surcgf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/", "__class": "Publication" }, { "id": "schaukowitsch-2013-fls", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Pano.NET - An interactive application for camera calibration, image stitching and projective operations", "date": "2013-09", "abstract": "The automatic generation of panoramic image mosaics has evolved into a mainstream consumer\r\napplication in recent years, thanks to modern algorithms and methods that can generate beautiful-\r\nlooking, artifact-free panoramas with minimal user interaction. Simple panoramas are only one\r\npossible application, other examples such as the scene-aware Google Street View show what is\r\npossible using these technologies. Software libraries such as\r\nOpenCV allow integration of image\r\nstitching and related operations into a multitude of applications with relative ease.\r\nIn this thesis, we present an interactive application (Pano.NET) that allows the user to\r\nexperiment with several commonly used methods for camera calibration and image stitching (as\r\nimplemented in\r\nOpenCV), and export related data such as registration information. We also give\r\nan overview of the used algorithms.\r\nIn addition, we implemented a projective drawing system that allows the user to draw lines\r\nand polygons onto a panorama and on the views that it consists of. Finally, a method is presented\r\nthat can generate six-sided cube maps out of a spherical panorama.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 812, "image_height": 440, "name": "schaukowitsch-2013-fls-image.jpg", "type": "image/jpeg", "size": 129904, "path": "Publication:schaukowitsch-2013-fls", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1093 ], "date_start": "2013-04-03", "matrikelnr": "0927289", "supervisor": [ 836, 844 ], "research_areas": [], "keywords": [ "multi-view image processing", "panorama imaging", "image compositing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 812, "image_height": 440, "name": "schaukowitsch-2013-fls-image.jpg", "type": "image/jpeg", "size": 129904, "path": "Publication:schaukowitsch-2013-fls", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "schaukowitsch-2013-fls-Thesis.pdf", "type": "application/pdf", "size": 12865915, "path": "Publication:schaukowitsch-2013-fls", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/", "__class": "Publication" }, { "id": "sperl-2013-BA", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Procedural Textures for Architectural Models ", "date": "2013-09", "abstract": "Texturing plays an extremely important role in computer graphics. They may for example give flat objects colour patterns and depth or roughness. However it is often difficult to find or create fitting textures for a geometry or surface. Creating textures by hand can prove extremely difficult as problems with seams or distortion may occur, which make the texture look unrealistic. In order to counter these problems many different kinds of texture synthesis have been developed among which procedural textures hold an important position.\n\nThe types of texture synthesis methods vary from example-based synthesis to procedural noise, cellular textures and more, which can produce a wide array of different results.\n\nThe aim of this paper is to introduce the reader into related topics of texture synthesis and to introduce a method for generating cellular brick pattern textures that represent brick bonds that are used in real architecture taking correct handling of wall and window borders into consideration. The method uses few parameters to control the synthesis process. In addition a method for generating random stone patterns is introduced. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 441, "name": "sperl-2013-BA-image.png", "type": "image/png", "size": 216516, "path": "Publication:sperl-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1096 ], "date_end": "2013-09-30", "date_start": "2013-04-01", "matrikelnr": "1025854", "supervisor": [ 844 ], "research_areas": [ "Modeling" ], "keywords": [ "brick texutre synthesis", "cellular textures", "texture synthesis", "stone texture synthesis" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 801, "image_height": 441, "name": "sperl-2013-BA-image.png", "type": "image/png", "size": 216516, "path": "Publication:sperl-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "sperl-2013-BA-thesis.pdf", "type": "application/pdf", "size": 15284856, "path": "Publication:sperl-2013-BA", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/", "__class": "Publication" }, { "id": "steiner-2014-da", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Structure-aware shape manipulation", "date": "2014-09", "abstract": "In computer graphics one of the most expensive fields is content creation. While today the rendering part is highly sophisticated and automated, 3d modeling is still a very challenging task due to the steep learning curve and the amount of work time required. Although there are a lot of free model databases available in the internet, this models are in general not perfectly suited to the customers needs and have to be adapted.\n\nStructure-aware shape manipulation deals with the complexity of creating variations, or adapting a given input model while retaining global features like symmetry and connectivity. The majority of existing algorithms only try to preserve structural features, or have very limited support for adapting the overall structure of the model to changes made by the user. The lack of complex structural changes in the model, for example allowing a wheel to change the number of strokes, limits the number of possible variations this algorithms can generate. \n\nThe aim of this thesis is to exploit the possibilities of using curves and curve spaces to find a better representation of the input model, allowing for complex structural adaptions. In addition to this the usefulness of a multi-layered graphs to represent the model and it's constraints should be investigated.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 682, "image_height": 441, "name": "steiner-2014-da-image.png", "type": "image/png", "size": 185956, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1120 ], "date_end": "2014", "date_start": "2014-01-13", "matrikelnr": "0825391", "supervisor": [ 193, 844 ], "research_areas": [ "Modeling" ], "keywords": [ " structure-aware model manipulation", "modelling", "cg" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 682, "image_height": 441, "name": "steiner-2014-da-image.png", "type": "image/png", "size": 185956, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steiner-2014-da-poster.pdf", "type": "application/pdf", "size": 1661123, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "steiner-2014-da-thesis.pdf", "type": "application/pdf", "size": 12027877, "path": "Publication:steiner-2014-da", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/", "__class": "Publication" }, { "id": "trenkwalder-2013-ma", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Cage Generation for Polygonal Meshes", "date": "2013", "abstract": "Project discontinued: student has no more motivation and quitted the project on 11.06.2013. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "trenkwalder-2013-ma-.pdf", "type": "application/pdf", "size": 23390, "path": "Publication:trenkwalder-2013-ma", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/trenkwalder-2013-ma/trenkwalder-2013-ma-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/trenkwalder-2013-ma/trenkwalder-2013-ma-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 604 ], "date_start": "2013-05-16", "matrikelnr": "0215339", "supervisor": [ 844 ], "research_areas": [], "keywords": [ "mesh processing", "polygonal meshes" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "trenkwalder-2013-ma-.pdf", "type": "application/pdf", "size": 23390, "path": "Publication:trenkwalder-2013-ma", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/trenkwalder-2013-ma/trenkwalder-2013-ma-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/trenkwalder-2013-ma/trenkwalder-2013-ma-:thumb{{size}}.png" } ], "projects_workgroups": [ "Photo-Guide" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/trenkwalder-2013-ma/", "__class": "Publication" }, { "id": "zapotocky_2013_ma", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Image-Based Modeling with Polyhedral Primitives", "date": "2013", "abstract": "The reconstruction of 3D models out of image data plays an important role in many research areas. Previous work has brought fully automatic or semi-automatic algorithms for extracting 3D data out of multiple images or videos. The output is usually a 3D point cloud, which is a big challenge when further manipulation of the scanned object, such as modeling and texturing, is needed. The goal of this master thesis is the research on methods for creating simple geometry out of such initial data. In the process of the work a modeling tool will be implemented, which enables users to integrate polyhedral primitives in a 3D point dataset. Being assisted by optimization techniques, the user shall be able to simplify such a 3D point cloud to a combination of basic geometric objects, which allow an easy manipulation in further tasks.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 825, "image_height": 572, "name": "zapotocky_2013_ma-image.png", "type": "image/png", "size": 488957, "path": "Publication:zapotocky_2013_ma", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1095 ], "date_end": "2014-01-07", "date_start": "2013-04-01", "matrikelnr": "0426209", 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"Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "REPLICATE", "workgroup_id": "rend", "drupal_id": 4216, "drupal_path": "/research/projects/REPLICATE", "name": "Semantic Modeling and Acquisition for Urban Safety Simulations", "name_de": null, "short_title": "REPLICATE", "website": null, "status": "active", "short_abstract": "
This project aims at analysing the traffic flow of open roads in real time by a sensor fusion of radar data with video feeds. Radar gives an accurate position and velocity of vehicles making computer vision methods more robust in computing their spatial extent and classification from video streams. In this way the huge amount of raw data is reduced to semantically relevant information, which is highly memory efficient, anonymous and sufficient to reconstruct traffic flow over long time periods. Another important goal is a sophisticated 3D visualization of the reconstructed traffic flow providing interactive tools for visual analysis. Information obtained in this way will significantly contribute in adopting measures to increase traffic safety.
\r\n", "abstract": "This project aims at analysing the traffic flow of open roads in real time by a sensor fusion of radar data with video feeds. Radar gives an accurate position and velocity of vehicles making computer vision methods more robust in computing their spatial extent and classification from video streams. In this way the huge amount of raw data is reduced to semantically relevant information, which is highly memory efficient, anonymous and sufficient to reconstruct traffic flow over long time periods. Another important goal is a sophisticated 3D visualization of the reconstructed traffic flow providing interactive tools for visual analysis. Information obtained in this way will significantly contribute in adopting measures to increase traffic safety.
\r\n", "start_date": "2013-01-01", "end_date": "2015-12-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "rasoulzadeh-2024-strokes2surface", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", 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"One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/REPLICATE", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Scenario Pool", "workgroup_id": "vis", "drupal_id": 4213, "drupal_path": "/research/projects/Scenario-Pool", "name": "Scenario Pool: Visual Analytics for Action Planning in the Presence of Uncertainty", "name_de": null, "short_title": "Scenario Pool", "website": null, "status": "active", "short_abstract": "Natural hazards such as floods are likely to occur more often in the near future. Modern information technology can simplify the workflow of disaster management. However, none of the existing tools is tailored to the requirements of action planning. The major challenge lies in the sheer quantity of complex information the planner has to account for. The choice of the right action at the right time depends on a variety of factors and cannot be automated. Moreover, since the course of events cannot be exactly predicted, numerous, alternative scenarios have to be considered. This project is dedicated to research in the field of Visual Analytics for the development of a novel decision-support system with two major goals in mind: First, users will be able to create a large scenario pool without the need for engineering skills. Second, first responders will be empowered to exploit this scenario pool for decision making in time-critical situations.
\r\n", "abstract": "Natural hazards such as floods are likely to occur more often in the near future. Modern information technology can simplify the workflow of disaster management. However, none of the existing tools is tailored to the requirements of action planning. The major challenge lies in the sheer quantity of complex information the planner has to account for. The choice of the right action at the right time depends on a variety of factors and cannot be automated. Moreover, since the course of events cannot be exactly predicted, numerous, alternative scenarios have to be considered. This project is dedicated to research in the field of Visual Analytics for the development of a novel decision-support system with two major goals in mind: First, users will be able to create a large scenario pool without the need for engineering skills. Second, first responders will be empowered to exploit this scenario pool for decision making in time-critical situations.
\r\n", "start_date": "2012-07-01", "end_date": "2015-12-31", "leader_id": { "id": 798, "drupal_id": 714, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/JürgenWaser", "firstname": "Jürgen", "lastname": "Waser", "searchname": "Jürgen Waser", "is_teacher": false, "name": "Jürgen Waser", "publications": [ "Cornel_Daniel_2015_VOC", "CORNEL-2019-IVF", "cornel-2022-wih", "Cornel2016CFM", "fuchs_vhml", "Groeller_2011_NR", "Groeller_2014_RWA", "Konev-FCV2018", "kroesl-2019-MoD", "rauer-zechmeister-2024-h3p", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "waser_2011_VSD", "Waser-2010-WL" ], "publications_first": [], "project_leader": [ "Scenario Pool" ], "publication_field": [ { "publ_id": "Groeller_2011_NR", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Gurbat_2011_SBS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Matusich-2017-01", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Ribicic-2010-CRS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Waser-2010-WL", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=798", "__class": "Author" }, "logo": null, "funding_organisations": [ { "id": "WWTF", "contract_number": "ICT12-009", "comment": null, "funding_organisation": { "id": "WWTF", "drupal_id": 4149, "name": "WWTF Wiener Wissenschafts-, Forschungs- und Technologiefonds", "logo": { "name": "logo.png", "type": "image/png", "size": 21079, "orig_name": "logo.png", "path": "FundingOrganisation:WWTF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/WWTF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "geo-materials", "contract_number": null, "comment": null }, { "id": "illvisation", "contract_number": "VRG11-010", "comment": null }, { "id": "LEOPOLD", "contract_number": null, "comment": null }, { "id": "Scale-VS", "contract_number": "ICT08-40, 2009-201 2", "comment": null }, { "id": "Scenario Pool", "contract_number": "ICT12-009", "comment": null }, { "id": "WorldScale", "contract_number": "ICT19-009", "comment": "€ 578.450" } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=WWTF", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "InfoVis", "drupal_id": 4128, "name": "Information Visualization and Visual Analytics", "short_abstract": "In this research area, our focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning. ", "abstract": "Data and information created by various processes (e.g., simulations) is getting larger, and more and more complex. We use interactive visualization and analysis techniques to facilitate exploration of complex parameter spaces (e.g., to analyze and compare parameters for automotive engineering, reconstruction algorithms, or geometry generators) or unstructured information collections (e.g., annotated digital documents or image collections). Our research focus lies on novel visual encodings and interaction techniques to explore a large amount of abstract data, often in combination with analytical reasoning.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/InfoVis", "teaser": { "name": "teaser.png", "path": "research_area:InfoVis", "type": "image/png", "size": 60875, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/InfoVis/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "vis" ], "publications": [ "8564188", "arbesser_ba_2023", "Arleo-2019-vis", "Batik-2021", "batik-2021-gd", "bayat-2022-mva", "beham-2014-cupid", "bhore-2021-issac", "birsak-2014-agtb", "birsak-2017-dpe", "borgo-2013-gly", "borondy2022", "Braunsperger-2025_bsc", "Bruckner_Stefan_2015_VAS", "bugnar-esk-2021", "byska-2019-mdfc", "Cai_2018", "casellato-2016-pkg", "Chen-Information-2016", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "daae-lampe-2010-dif", "Deutsch-2018", "Diehl_2015", "Diehl_2021", "dworschak-2016-szcm", "Eckelt_2018_01", "edlinger-2018-vwr", "ehlers-2024-vgs", "eichner-2024-erv", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "eschner-2023-evl", "eschner-2025-ide", "Escribano_2017", "fourousan2021", "furmanova_2020", "Gadllah_Hani_2016", "Gall2020", "Ganuza_ML_2015_ISA", "georgiev-2019-cbg", "geyer_lukas_2015_prj", "geymayer-2017-std", "Groeller_2011_CW", "Groeller_2011_NR", "Groeller_2014_RWA", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2021-10", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V5_2020", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "gundacker-2020-wlm", "gusenbauer-2018", "gusenbauer-2018-P", "Heim_2021", "heim-2024-accustripes", "heim-gall-2020-dde", "Heinzl2021", "holzer-edo", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "karnik-09-shapegrammar", "Kehrer-2010-mom", "kehrer-2012-mod", "kehrer-2013-SBC", "Kehrer-2013-STAR", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "Klein_Tobias_2015TIV", "klein-2016-WCL", "knoetzl_alexander-2025-prj", "koeppel-2021", "Kolter_2021", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch-2021-lov", "Kuroko-2020-iV", "Laschober-2018", "li-2019-gdc", "lippeck-2022-mna", "louis-alexandre_dit_petit-frere-2022-veo", "magg2022", "mahler-2021-mdar", "martorell2022", "maruyama-2019-iv", "Matkovic_Kresimir_2015_", "Matkovic-2014-ieee", "matt-2024-cvil", "matt-2025-scv", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "medeiros-2023-gwf", "meka-2024-lpi", "melcher-2024-asi", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_Haichao_2015_VQC", "miao2018Dimsum", "mizuno-2019-eurovis", "Muehlbacher_diss_2018", "musleh_maath_2021_mam", "musleh_maath-2021-mam1", "musleh_maath-2021-mam2", "Musleh_PhD", "musleh-2022-mam5", "musleh-2025-trustme", "Neubauer2020", "Nowak_2021", "ortner-2016-tunnel", "ortner-2016-visaware", "pahr-2024-ieo", "PH-2011-LDS", "Pilizar_-2020-bachelor", "pirch_2021_VRN", "pointner_simon-2020", "polatsek-2018-stv", "Presch_2020", "Priselac2021", "Purchase-2020-gd", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_bestphd", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2019_prsps", "Ribicic_2012_VAS", "Rippberger_2019", "sakr_sherif-2020-cacm", "samoul-2019-cnp", "sbardellati-2021-eveos", "schmidt-phd", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sikachev_peter-2011-protovis", "smiech-2018-tei", "sMolBoxes_2022", "Sorger_2013_nMI", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "spegel-gruenberger-2020", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "steinschorn-2025-parameter", "stoff-2025-pvu", "stoff-concepMap-2021", "stritzel2022", "Strohmayer-2018-BT", "takahashi-2019-acdt", "tekaya-2025-amo", "Thomas-2018", "TR1862162", "Troidl_2019", "turner-aso", "unger-2019_vcp", "vad_viktor-2017-WVE", "vaico", "Vasileva-2018", "vasileva-2019-smw", "Wagner_032017", "wagner-2024-par", "walchhofer_ar_flowmaps", "waldin-2019-ccm", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "webGPU_aggregateVis-2023", "wolf-2023-cc", "wolf-2024-jhd", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-eurovis-star", "wu-2020-tvcg", "ymca", "YOGHOURDJIAN2019" ], "projects": [ "BioNetIllustration", "d10206", "d10413", "d10450", "d9282", "d9522", "d9555", "deskollage", "Scenario Pool" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=InfoVis", "__class": "ResearchArea" } ], "publications": [], "url": "https://www.cg.tuwien.ac.at/research/projects/Scenario-Pool", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "amirkhanov2010AMA", "ammer-2008-lst", "An-2018-CHI", "AndreUrsits_2013_APP", "antes-2023-vhv", "Antonini2020", "arbesser_ba_2023", "Artner-2004-Hig", "Artner-2005-Hig", "Artner-2005-Thesis", "audioflow", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "KASI", "workgroup_id": "vis", "drupal_id": 4220, "drupal_path": "/research/projects/KASI", "name": "KASI: Knowledge Assited Sparse Interaction for Peripheral CT", "name_de": null, "short_title": "KASI", "website": null, "status": "active", "short_abstract": "The knowledge assisted sparse interaction proposed above is a general paradigm, applicable to any area of visualization. However, within the framework of the current proposal we want to specialize predominantly on one of these possibilities, namely on the processing and diagnostics of the peripheral artery occlusive disease (PAOD) within the context of noninvasive CT angiography [1]. PAOD is a significant health problem in the industrialized world, with a prevalence of 8-12 million cases in the US alone [32]. The number of such cases is expected to increase as the population ages.", "abstract": "The knowledge assisted sparse interaction proposed above is a general paradigm, applicable to any area of visualization. However, within the framework of the current proposal we want to specialize predominantly on one of these possibilities, namely on the processing and diagnostics of the peripheral artery occlusive disease (PAOD) within the context of noninvasive CT angiography [1]. PAOD is a significant health problem in the industrialized world, with a prevalence of 8-12 million cases in the US alone [32]. The number of such cases is expected to increase as the population ages.", "start_date": "2010-07-01", "end_date": "2015-09-30", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", 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"Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "ViMaL", "workgroup_id": "vis", "drupal_id": 4222, "drupal_path": "/research/projects/ViMaL", "name": "ViMaL: A Visualization Mapping Language", "name_de": null, "short_title": "ViMaL", "website": null, "status": "active", "short_abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "abstract": "Visualization is the discipline dealing with the depiction of data. The assignment of visual abstractions to data abstractions is referred to as the visualization mapping. \nExpressive visualization mappings proofed in many cases to be more effective than the examination of raw data (i.e., large tables of numbers). Although visualization mapping is a crucial step in the visualization pipeline surprisingly few general approaches exist.\nWe propose to develop the Visualization Mapping Language (ViMaL) that is capable of describing expressive visualization mappings and provides user interfaces suitable for non-experts in visualization. \nViMaL will be a language that is used to specify visualization pipelines. We will provide language concepts for the specification of data abstraction processes, visual concretization processes and the required visualization mapping. With this approach the semantics of a specific domain are modeled by the domain experts while the semantics of the visualization domain are modeled by the visualization expert. The visualization mapping is described using domain semantics as well as visualization semantics. Unlike other general purpose visualization systems, ViMaL systems explicitly use the semantics of the visualization mapping process. It incorporates information and knowledge assisted methods in the visualization mapping pipeline.\nIn the scope of this project we will define a novel Visualization Mapping Language and implement a toolbox that aids researchers from other areas to integrate the ViMaL concepts into their systems. The toolbox will provide basic ViMaL document setup and parsing as well as components for each step in the visualization pipeline. We will make use of fuzzy logic in our components for the abstraction of data, for the visual concretization, and for the visualization mapping. \nWe believe that the formalization of the visualization pipeline that is achieved with the visualization mapping language will enable many researchers from other domains to benefit from existing visualization methods. Further, the introduction of domain and visualization semantics for the specification of visualization mappings enables meta-visualization approaches that provide insight into the visualization process itself. Laypersons will benefit from such meta-visualization systems that are able to illustrate the involved components.", "start_date": "2010-01-01", "end_date": "2014-12-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", 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Computing", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=fwf", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "beham-2014-cupid", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Cupid: Cluster-based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees", "date": "2014-12", "abstract": "Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a novel visual exploration approach that combines the abstract parameter space of the geometry generator with the resulting 3D shapes in a composite visualization. Similar geometric shapes are first grouped using hierarchical clustering and then nested within an illustrative parallel coordinates visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid parameter settings. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 307, "image_height": 255, "name": "beham-2014-cupid-teaser.png", "type": "image/png", "size": 235549, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 816, 1193, 166, 983 ], "date_from": "2014-11-09", "date_to": "2014-11-14", "event": "IEEE VIS 2014", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 816 ], "location": "Paris, France", "number": "12", "pages_from": "1693", "pages_to": "1702 ", "volume": "20", "research_areas": [ "InfoVis" ], "keywords": [ "3D shape analysis", "radial trees", "hierarchical clustering", "illustrative parallel coordinates", "composite visualization" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2014.2346626", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "comparison of selected 3D shapes", "filetitle": "data-comparison", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 349, "image_height": 310, "name": "beham-2014-cupid-data-comparison.png", "type": "image/png", "size": 325461, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-data-comparison.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-data-comparison:thumb{{size}}.png" }, { "description": "draft report (accepted for publication by IEEE)", "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 717, "preview_image_height": 643, "name": "beham-2014-cupid-draft.pdf", "type": "application/pdf", "size": 7298756, "path": "Publication:beham-2014-cupid", "preview_name": "beham-2014-cupid-draft:preview.png", "preview_type": "image/png", "preview_size": 1386025, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-draft:thumb{{size}}.png" }, { "description": "cluster view, where clusters can be merged/split", "filetitle": "radial-tree", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 345, "image_height": 337, "name": "beham-2014-cupid-radial-tree.png", "type": "image/png", "size": 349754, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-radial-tree.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-radial-tree:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 307, "image_height": 255, "name": "beham-2014-cupid-teaser.png", "type": "image/png", "size": 235549, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png" }, { "description": "animated transitions between different levels in the cluster hierarchy", "filetitle": "transitions", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 303, "image_height": 178, "name": "beham-2014-cupid-transitions.png", "type": "image/png", "size": 162296, "path": "Publication:beham-2014-cupid", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-transitions.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-transitions:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/", "__class": "Publication" }, { "id": "Birkeland-2012-IMC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Illustrative Membrane Clipping", "date": "2012-06", "abstract": "Clipping is a fast, common technique for resolving occlusions. It only requires simple interaction, is easily understandable,\nand thus has been very popular for volume exploration. However, a drawback of clipping is that the\ntechnique indiscriminately cuts through features. Illustrators, for example, consider the structures in the vicinity\nof the cut when visualizing complex spatial data and make sure that smaller structures near the clipping plane are\nkept in the image and not cut into fragments. In this paper we present a new technique, which combines the simple\nclipping interaction with automated selective feature preservation using an elastic membrane. In order to prevent\ncutting objects near the clipping plane, the deformable membrane uses underlying data properties to adjust itself\nto salient structures. To achieve this behaviour, we translate data attributes into a potential field which acts on the\nmembrane, thus moving the problem of deformation into the soft-body dynamics domain. This allows us to exploit\nexisting GPU-based physics libraries which achieve interactive frame rates. For manual adjustment, the user can\ninsert additional potential fields, as well as pinning the membrane to interesting areas. We demonstrate that our\nmethod can act as a flexible and non-invasive replacement of traditional clipping planes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1007, 161, 1008, 171 ], "date_from": "2012-06-05", "date_to": "2012-06-08", "event": "EuroVis 2012", "journal": "Computer Graphics Forum", "lecturer": [ 1007 ], "location": "Vienna, Austria", "note": "presented at EuroVis 2012", "number": "3", "pages_from": "905", "pages_to": "914", "volume": "31", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "illustrative visualization", "volume rendering", "clipping" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03083.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Birkeland-2012-IMC-Paper.pdf", "type": "application/pdf", "size": 21540990, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper:thumb{{size}}.png" }, { "description": "The hippocampus in a mouse brain imaged using ultramicroscopy", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1027, "image_height": 609, "name": "Birkeland-2012-IMC-Teaser.jpg", "type": "image/jpeg", "size": 187433, "path": "Publication:Birkeland-2012-IMC", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png" }, { "description": "Video Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "Birkeland-2012-IMC-Video.wmv", "type": "text/plain", "size": 26372220, "path": "Publication:Birkeland-2012-IMC", "preview_name": "Birkeland-2012-IMC-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 15856, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/", "__class": "Publication" }, { "id": "borgo-2013-gly", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications", "date": "2013-05", "abstract": "This state of the art report focuses on glyph-based visualization, a common form of visual design where a data set is depicted by a collection of visual objects referred to as glyphs. Its major strength is that patterns of multivariate data involving more than two attribute dimensions can often be more readily perceived in the context of a spatial relationship, whereas many techniques for spatial data such as direct volume rendering find difficult to depict with multivariate or multi-field data, and many techniques for non-spatial data such as parallel coordinates are less able to convey spatial relationships encoded in the data. This report fills several major gaps in the literature, drawing the link between the fundamental concepts in semiotics and the broad spectrum of glyph-based visualization, reviewing existing design guidelines and implementation techniques, and surveying the use of glyph-based visualization in many applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser image", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 533, "name": "borgo-2013-gly-teaser.jpg", "type": "image/jpeg", "size": 127128, "path": "Publication:borgo-2013-gly", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1081, 983, 1085, 1084, 221, 176, 1082, 1083 ], "date_from": "2013-05-06", "date_to": "2013-05-10", "journal": "Eurographics State of the Art Reports", "lecturer": [ 1081, 983, 1085, 1083 ], "location": "Girona, Spain", "note": "http://diglib.eg.org/EG/DL/conf/EG2013/stars/039-063.pdf", "pages_from": "39", "pages_to": "63", "publisher": "Eurographics Association", "series": "EG STARs", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "State-of-the-Art Report", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 675, "preview_image_height": 476, "name": "borgo-2013-gly-report.pdf", "type": "application/pdf", "size": 3898692, "path": "Publication:borgo-2013-gly", "preview_name": "borgo-2013-gly-report:preview.png", "preview_type": "image/png", "preview_size": 965988, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-report:thumb{{size}}.png" }, { "description": "presentation by R. Borgo", "filetitle": "slides Borgo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1161, "preview_image_height": 772, "name": "borgo-2013-gly-slides Borgo.pdf", "type": "application/pdf", "size": 2324846, "path": "Publication:borgo-2013-gly", "preview_name": "borgo-2013-gly-slides Borgo:preview.png", "preview_type": "image/png", "preview_size": 2694057, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Borgo.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Borgo:thumb{{size}}.png" }, { "description": "presentation by D.H.S. Chung", "filetitle": "slides Chung", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1161, "preview_image_height": 865, "name": "borgo-2013-gly-slides Chung.pdf", "type": "application/pdf", "size": 2236108, "path": "Publication:borgo-2013-gly", "preview_name": "borgo-2013-gly-slides Chung:preview.png", "preview_type": "image/png", "preview_size": 3018582, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Chung.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Chung:thumb{{size}}.png" }, { "description": "presentation by J. Kehrer", "filetitle": "slides J. Kehrer", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1161, "preview_image_height": 866, "name": "borgo-2013-gly-slides J. Kehrer.pdf", "type": "application/pdf", "size": 2141660, "path": "Publication:borgo-2013-gly", "preview_name": "borgo-2013-gly-slides J. Kehrer:preview.png", "preview_type": "image/png", "preview_size": 3022083, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides J. Kehrer.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides J. Kehrer:thumb{{size}}.png" }, { "description": "teaser image", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 533, "name": "borgo-2013-gly-teaser.jpg", "type": "image/jpeg", "size": 127128, "path": "Publication:borgo-2013-gly", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/", "__class": "Publication" }, { "id": "bruckner-2010-HVC", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Hybrid Visibility Compositing and Masking for Illustrative Rendering", "date": "2010", "abstract": "In this paper, we introduce a novel framework for the compositing of interactively rendered 3D layers\ntailored to the needs of scientific illustration. Currently, traditional scientific illustrations are produced\nin a series of composition stages, combining different pictorial elements using 2D digital layering. Our\napproach extends the layer metaphor into 3D without giving up the advantages of 2D methods. The\nnew compositing approach allows for effects such as selective transparency, occlusion overrides, and\nsoft depth buffering. Furthermore, we show how common manipulation techniques such as masking\ncan be integrated into this concept. These tools behave just like in 2D, but their influence extends\nbeyond a single viewpoint. Since the presented approach makes no assumptions about the underlying\nrendering algorithms, layers can be generated based on polygonal geometry, volumetric data, pointbased\nrepresentations, or others. Our implementation exploits current graphics hardware and permits\nreal-time interaction and rendering.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 488, 171, 862, 565, 166 ], "journal": "Computers & Graphics", "number": "34", "pages_from": "361", "pages_to": "369", "research_areas": [ "IllVis", "MedVis" ], "keywords": [ "compositing", "masking", "illustration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 854, "image_height": 913, "name": "bruckner-2010-HVC-Image.jpg", "type": "image/jpeg", "size": 307188, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2010-HVC-Preprint.pdf", "type": "application/pdf", "size": 2234448, "path": "Publication:bruckner-2010-HVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint:thumb{{size}}.png" }, { "description": "Interactive demonstration", "filetitle": "Video 1", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 852, "name": "bruckner-2010-HVC-Video 1.avi", "type": "video/x-msvideo", "size": 45092410, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 1:preview.png", "preview_type": "image/jpeg", "preview_size": 21243, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:video.mp4" }, { "description": "Computer-generated illustration of the reproductive system", "filetitle": "Video 2", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 2.avi", "type": "video/x-msvideo", "size": 25411494, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 2:preview.png", "preview_type": "image/jpeg", "preview_size": 37959, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:video.mp4" }, { "description": "Computer-generated illustration of the human liver", "filetitle": "Video 3", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2010-HVC-Video 3.avi", "type": "video/x-msvideo", "size": 24452420, "path": "Publication:bruckner-2010-HVC", "preview_name": "bruckner-2010-HVC-Video 3:preview.png", "preview_type": "image/jpeg", "preview_size": 37344, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/", "__class": "Publication" }, { "id": "Csebfalvi-2012-IOM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Illumination-Driven Opacity Modulation for Expressive Volume Rendering", "date": "2012-11", "abstract": "Using classical volume visualization, typically a couple of isosurface layers are rendered semi-transparently to show the internal structures contained in the data. However, the opacity transfer function is often difficult to specify such that all the isosurfaces are of high contrast and sufficiently perceivable. In this paper, we propose a volumerendering technique which ensures that the different layers contribute to fairly different regions of the image space. Since the overlapping between the effected regions is reduced, an outer translucent isosurface does not decrease significantly the contrast of a partially hidden inner isosurface. Therefore, the layers of the data become visually well separated. Traditional transfer functions assign color and opacity values to the voxels depending on the density and the gradient. In contrast, we assign also different illumination directions to different materials, and modulate the opacities view-dependently based on the surface normals and the directions of the light sources, which are fixed to the viewing angle. We will demonstrate that this model allows an expressive visualization of volumetric data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser image", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 1000, "name": "Csebfalvi-2012-IOM-Teaser.jpg", "type": "image/jpeg", "size": 79594, "path": "Publication:Csebfalvi-2012-IOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 233, 1070, 161, 166 ], "booktitle": "Proceedings of Vision, Modeling & Visualization 2012", "date_from": "2012-11-12", "date_to": "2012-11-14", "lecturer": [ 233 ], "location": "Magdeburg, Germany", "pages_from": "103", "pages_to": "109", "research_areas": [], "keywords": [ "illustrative visualization", "illumination", "volume rendering" ], "weblinks": [], "files": [ { "description": "Illumination-driven opacity modulation in direct volume rendering", "filetitle": "Paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Csebfalvi-2012-IOM-Paper.pdf", "type": "application/pdf", "size": 13301159, "path": "Publication:Csebfalvi-2012-IOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Paper:thumb{{size}}.png" }, { "description": "Teaser image", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 1000, "name": "Csebfalvi-2012-IOM-Teaser.jpg", "type": "image/jpeg", "size": 79594, "path": "Publication:Csebfalvi-2012-IOM", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser:thumb{{size}}.png" }, { "description": "Demonstration video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 720, "preview_image_height": 576, "name": "Csebfalvi-2012-IOM-Video.avi", "type": "video/x-msvideo", "size": 4830850, "path": "Publication:Csebfalvi-2012-IOM", "preview_name": "Csebfalvi-2012-IOM-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 30628, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/", "__class": "Publication" }, { "id": "Groeller_2011_NR", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations", "date": "2011-12", "abstract": "Flood disasters are the most common natural risk and tremendous efforts are spent to improve their simulation and\nmanagement. However, simulation-based investigation of actions that can be taken in case of flood emergencies is rarely done.\nThis is in part due to the lack of a comprehensive framework which integrates and facilitates these efforts. In this paper, we tackle\nseveral problems which are related to steering a flood simulation. One issue is related to uncertainty. We need to account for\nuncertain knowledge about the environment, such as levee-breach locations. Furthermore, the steering process has to reveal how\nthese uncertainties in the boundary conditions affect the confidence in the simulation outcome. Another important problem is that the\nsimulation setup is often hidden in a black-box. We expose system internals and show that simulation steering can be comprehensible\nat the same time. This is important because the domain expert needs to be able to modify the simulation setup in order to include local\nknowledge and experience. In the proposed solution, users steer parameter studies through the World Lines interface to account for\ninput uncertainties. The transport of steering information to the underlying data-flow components is handled by a novel meta-flow. The\nmeta-flow is an extension to a standard data-flow network, comprising additional nodes and ropes to abstract parameter control. The\nmeta-flow has a visual representation to inform the user about which control operations happen. Finally, we present the idea to use\nthe data-flow diagram itself for visualizing steering information and simulation results. We discuss a case-study in collaboration with a\ndomain expert who proposes different actions to protect a virtual city from imminent flooding. The key to choosing the best response\nstrategy is the ability to compare different regions of the parameter space while retaining an understanding of what is happening\ninside the data-flow system.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2126, "image_height": 1673, "name": "Groeller_2011_NR-Image.png", "type": "image/png", "size": 514334, "path": "Publication:Groeller_2011_NR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 798, 889, 672, 978, 829, 1330, 166 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 798 ], "number": "12", "pages_from": "1872", "pages_to": "1881", "volume": "17", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [ { "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6064950", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2126, "image_height": 1673, "name": "Groeller_2011_NR-Image.png", "type": "image/png", "size": 514334, "path": "Publication:Groeller_2011_NR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Groeller_2011_NR-Paper.pdf", "type": "application/pdf", "size": 1829746, "path": "Publication:Groeller_2011_NR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/", "__class": "Publication" }, { "id": "Herghelegiu-2012-BPV", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Biopsy Planner - Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy", "date": "2012-06", "abstract": "Biopsies involve taking samples from living tissue using a biopsy needle. In current clinical practice they are a first\r\nmandatory step before any further medical actions are planned. Performing a biopsy on a deep seated brain tumor\r\nrequires considerable time for establishing and validating the desired biopsy needle pathway to avoid damage.\r\nIn this paper, we present a system for the visualization, analysis, and validation of biopsy needle pathways. Our\r\nsystem uses a multi-level approach for identifying stable needle placements which minimize the risk of hitting\r\nblood vessels. This is one of the major dangers in this type of intervention. Our approach helps in identifying and\r\nvisualizing the point on the pathway that is closest to a surrounding blood vessel, requiring a closer inspection by\r\nthe neurosurgeon. An evaluation by medical experts is performed to demonstrate the utility of our system.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "Herghelegiu-2012-BPV-Teaser.jpg", "type": "image/jpeg", "size": 46706, "path": "Publication:Herghelegiu-2012-BPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 903, 850, 1006, 161, 166 ], "date_from": "2012-06-05", "date_to": "2012-06-08", "event": "EuroVis 2012", "journal": "Computer Graphics Forum", "lecturer": [ 903 ], "location": "Vienna, Austria", "note": "presented at EuroVis 2012", "number": "3", "pages_from": "1085", "pages_to": "1094", "volume": "31", "research_areas": [], "keywords": [ "biopsy planning", "medical visualization", "visual analysis" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03101.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Herghelegiu-2012-BPV-Paper.pdf", "type": "application/pdf", "size": 3817151, "path": "Publication:Herghelegiu-2012-BPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Paper:thumb{{size}}.png" }, { "description": "Questionnaire used in the evaluation", "filetitle": "Questionnaire", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Herghelegiu-2012-BPV-Questionnaire.pdf", "type": "application/pdf", "size": 68101, "path": "Publication:Herghelegiu-2012-BPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Questionnaire.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Questionnaire:thumb{{size}}.png" }, { "description": "Tasks used in the evaluation", "filetitle": "Tasks", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Herghelegiu-2012-BPV-Tasks.pdf", "type": "application/pdf", "size": 33270, "path": "Publication:Herghelegiu-2012-BPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Tasks.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Tasks:thumb{{size}}.png" }, { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "Herghelegiu-2012-BPV-Teaser.jpg", "type": "image/jpeg", "size": 46706, "path": "Publication:Herghelegiu-2012-BPV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser:thumb{{size}}.png" }, { "description": "Video Demonstration", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 960, "preview_image_height": 460, "name": "Herghelegiu-2012-BPV-Video.mp4", "type": "video/mp4", "size": 3366642, "path": "Publication:Herghelegiu-2012-BPV", "preview_name": "Herghelegiu-2012-BPV-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 25056, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/", "__class": "Publication" }, { "id": "kehrer-2013-IVA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Visual Analysis of Multi-faceted Scientific Data: Challenges and Trends", "date": "2013", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 983 ], "date_from": "2013-10-25", "event": "Karlsruhe Institute of Technology", "location": "Karlsruhe, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-IVA/", "__class": "Publication" }, { "id": "kehrer-2013-SBC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A Model for Structure-based Comparison of Many Categories in Small-Multiple Displays", "date": "2013-12", "abstract": "Many application domains deal with multi-variate data that consists of both categorical and numerical information. Small-multiple\ndisplays are a powerful concept for comparing such data by juxtaposition. For comparison by overlay or by explicit encoding\nof computed differences, however, a specification of references is necessary. In this paper, we present a formal model for defining\nsemantically meaningful comparisons between many categories in a small-multiple display. Based on pivotized data that are hierarchically\npartitioned by the categories assigned to the x and y axis of the display, we propose two alternatives for structure-based\ncomparison within this hierarchy. With an absolute reference specification, categories are compared to a fixed reference category.\nWith a relative reference specification, in contrast, a semantic ordering of the categories is considered when comparing them either to\nthe previous or subsequent category each. Both reference specifications can be defined at multiple levels of the hierarchy (including\naggregated summaries), enabling a multitude of useful comparisons. We demonstrate the general applicability of our model in several\napplication examples using different visualizations that compare data by overlay or explicit encoding of differences.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 759, "image_height": 903, "name": "kehrer-2013-SBC-image.jpg", "type": "image/jpeg", "size": 208520, "path": "Publication:kehrer-2013-SBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 983, 451, 961, 166 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE Information Visualization 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By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections are often dependent on other parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can be also used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with welldefined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data and the analysis of historical documents.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 258, "name": "mindek-2013-csl-.png", "type": "image/png", "size": 52622, "path": "Publication:mindek-2013-csl", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 161, 166 ], "booktitle": "Proceedings of the 29th Spring Conference on Computer Graphics", "date_from": "2013-05-01", "date_to": "2013-05-03", "lecturer": [ 935 ], "location": "Smolenice, Slovakia", "series": "SCCG ", "research_areas": [], "keywords": [ "spatial selections", "annotations", "linked views", "provenance" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 258, "name": "mindek-2013-csl-.png", "type": "image/png", "size": 52622, "path": "Publication:mindek-2013-csl", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2013-csl-Paper.pdf", "type": "application/pdf", "size": 5355143, "path": "Publication:mindek-2013-csl", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2013-csl-Slides.zip", "type": "application/zip", "size": 15891107, "path": "Publication:mindek-2013-csl", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Slides.zip", "thumb_image_sizes": [] }, { "description": "", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "mindek-2013-csl-Video.avi", "type": "video/x-msvideo", "size": 16619348, "path": "Publication:mindek-2013-csl", "preview_name": "mindek-2013-csl-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 29485, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/", "__class": "Publication" }, { "id": "mindek-2013-pel", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visual Parameter Exploration in GPU Shader Space", "date": "2013", "abstract": "The wide availability of high-performance GPUs has made the use of shader programs in visualization ubiquitous.\r\nUnderstanding shaders is a challenging task. Frequently it is dif?cult to mentally reconstruct the nature and types\r\nof transformations applied to the underlying data during the visualization process. We propose a method for the\r\nvisual analysis of GPU shaders, which allows the ?exible exploration and investigation of algorithms, parameters,\r\nand their effects. We introduce a method for extracting feature vectors composed of several attributes of the shader,\r\nas well as a direct manipulation interface for assigning semantics to them. The user interactively classi?es pixels of\r\nimages which are rendered with the investigated shader. The two resulting classes, a positive class and a negative\r\none, are employed to steer the visualization. Based on this information, we can extract a wide variety of additional\r\nattributes and visualize their relation to this classi?cation. Our system allows an interactive exploration of shader\r\nspace and we demonstrate its utility for several different applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 300, "name": "mindek-2013-pel-.png", "type": "image/png", "size": 124628, "path": "Publication:mindek-2013-pel", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 161, 488, 166 ], "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ 935 ], "location": "Plzen, Czech Republic", "number": "3", "pages_from": "225", "pages_to": "234", "volume": "21", "research_areas": [], "keywords": [ "shader augmentation", "parameter space exploration" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 300, "name": "mindek-2013-pel-.png", "type": "image/png", "size": 124628, "path": "Publication:mindek-2013-pel", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2013-pel-Paper.pdf", "type": "application/pdf", "size": 4812840, "path": "Publication:mindek-2013-pel", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mindek-2013-pel-Slides.pptx", "type": "application/zip", "size": 15563078, "path": "Publication:mindek-2013-pel", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Slides.pptx", "thumb_image_sizes": [] }, { "description": "", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "mindek-2013-pel-Video.avi", "type": "video/x-msvideo", "size": 10875702, "path": "Publication:mindek-2013-pel", "preview_name": "mindek-2013-pel-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 31199, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/", "__class": "Publication" }, { "id": "mindek-2014-mcs", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Managing Spatial Selections with Contextual Snapshots", "date": "2014-12", "abstract": "Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well-defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data, the analysis of historical documents, and the display of anatomical data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 153, "name": "mindek-2014-mcs-.png", "type": "image/png", "size": 77248, "path": "Publication:mindek-2014-mcs", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 166, 161 ], "issn": "1467-8659", "journal": "Computer Graphics Forum", "number": "8", "pages_from": "132", "pages_to": "144", "volume": "33", "research_areas": [], "keywords": [ "annotations", "spatial selections", "visual analytics", "interaction" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12406/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 153, "name": "mindek-2014-mcs-.png", "type": "image/png", "size": 77248, "path": "Publication:mindek-2014-mcs", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-2014-mcs-Paper.pdf", "type": 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"https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/", "__class": "Publication" }, { "id": "mindek-2014-vivi_cvut", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "ViviSection: Skeleton-based Volume Editing", "date": "2014", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 275, "image_height": 276, "name": "mindek-2014-vivi_cvut-.png", "type": "image/png", "size": 116148, "path": "Publication:mindek-2014-vivi_cvut", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2014-05-28", "event": "Scientific meeting of Department of Computer Graphics and Interaction", "location": "Czech Technical University in Prague", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 275, "image_height": 276, "name": "mindek-2014-vivi_cvut-.png", "type": "image/png", "size": 116148, "path": "Publication:mindek-2014-vivi_cvut", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/", "__class": "Publication" }, { "id": "mindek-2015-mctalk", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Automatized Summarization of Multiplayer Games", "date": "2015", "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 635, "image_height": 479, "name": "mindek-2015-mctalk-.jpg", "type": "image/jpeg", "size": 32296, "path": "Publication:mindek-2015-mctalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_from": "2015-05-04", "event": "Numerical Geometry Seminar", "location": "Comenius University in Bratislava", "research_areas": [], "keywords": [ "Animation", "Storytelling", "Game Visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 635, "image_height": 479, "name": "mindek-2015-mctalk-.jpg", "type": "image/jpeg", "size": 32296, "path": "Publication:mindek-2015-mctalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/", "__class": "Publication" }, { "id": "mindek-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Integrated Exploration and Management of Visualization Parameters", "date": "2015", "abstract": "Visualization algorithms are parameterized to offer universality in terms of handling various data types, showing different aspects of the visualized data, or producing results useful for domain experts from different fields. Hence, input parameters are an important aspect of the visualization process. Their exploration and management are tasks which enable the visualization reusability, portability, and interdisciplinary communication.\n\nWith increasing availability of visualization systems, which are suitable for a great variety of tasks, their complexity increases as well. This usually involves many input parameters necessary for the meaningful visualization of data. Multiple input parameters form parameter spaces which are too large to be explored by brute-force. Knowing the properties of a parameter space is often beneficial for improving data visualization. Therefore, it is important for domain experts utilizing data visualization to have tools for automatic parameter specification and for aiding the manual parameter setting.\n\nIn this thesis, we review existing approaches for parameter-space visualization, exploration, and management. These approaches are used with a great variety of underlying algorithms. We focus on their applicability to visualization algorithms. We propose three methods solving specific problems arising from the fact that the output of a visualization algorithm is an image, which is challenging to process automatically and often needs to be analyzed by a human.\n\nFirst, we propose a method for the exploration of parameter-spaces of visualization algorithms. The method is used to understand effects of combinations of parameters and parts of the internal structure of the visualization algorithms on the final image result. The exploration is carried out by specifying semantics for localized parts of the visualization images in the form of positive and negative examples influenced by a set of input parameters or parts of the visualization algorithm itself. After specifying the localized semantics, global effects of the specified components of the visualization algorithm can be observed. The method itself is independent from the underlying algorithm.\n\nSubsequently, we present a method for managing image-space selections in visualizations and automatically link them with the context in which they were created. The context is described by the values of the visualization parameters influencing the output image. The method contains a mechanism for linking additional views to the selections, allowing the user an effective management of the visualization parameters whose effects are localized to certain areas of the visualizations. We present various applications for the method, as well as an implementation in the form of a library, which is ready to be used in existing visualization systems.\n\nOur third method is designed to integrate dynamic parameters stored during a multiplayer video game session by the individual participating players. For each player, the changing parameter values of the game describe their view of the gameplay. Integrating these multiple views into a single continuous visual narrative provides means for effective summarization of gameplays, useful for entertainment, or even gameplay analysis purposes by semi-professional or professional players. We demonstrate the utility of our approach on an existing video game by producing a gameplay summary of a multiplayer game session. The proposed method opens possibilities for further research in the areas of storytelling, or at a more abstract level, parameter integration for visual computing algorithms.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 212, "name": "mindek-thesis-.png", "type": "image/png", "size": 22082, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935 ], "date_end": "2015-06", "date_start": "2011-10", "reviewer_1": [ 161 ], "reviewer_2": [ 166 ], "rigorosum": "2015-06-30", "supervisor": [ 161 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 212, "name": "mindek-thesis-.png", "type": "image/png", "size": 22082, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png" }, { "description": null, "filetitle": "Defense Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-thesis-Defense Slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 47178838, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Defense Slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Dissertation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mindek-thesis-Dissertation.pdf", "type": "application/pdf", "size": 13757991, "path": "Publication:mindek-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Dissertation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Dissertation:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/", "__class": "Publication" }, { "id": "oeltze-2013-tut", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "IEEE VIS Tutorial on Interactive Visual Analysis of Scientific Data", "date": "2013-10", "abstract": "In a growing number of application areas, a subject or phenomenon is investigated by means of multiple datasets being acquired over time (spatiotemporal), comprising several attributes per data point\r\n(multi-variate), stemming from different data sources (multi-modal) or multiple simulation runs (multi-run/ensemble). Interactive visual analysis (IVA) comprises concepts and techniques for a user-guided knowledge discovery in such complex data. Through a tight feedback loop of computation,\r\nvisualization and user interaction, it provides new insight into the data and serves as a vehicle for\r\nhypotheses generation or validation. It is often implemented via a multiple coordinated view framework where each view is equipped with interactive drill-down operations for focusing on data features.\r\nTwo classes of views are integrated:\r\nphysical views, such as direct volume rendering, show information in the context of the spatiotemporal observation space while\r\nattribute views, such as scatter\r\nplots and parallel coordinates, show relationships between multiple data attributes. The user may drill-down the data by selecting interesting regions of the observation space or attribute ranges leading to\r\na consistent highlighting of this selection in all other views (brushing-and-linking). Three patterns of\r\nexplorative/analytical procedures may be accomplished by doing so. In a\r\nfeature localization, the user\r\nsearches for places in the 3D/4D observation space where certain attribute values are present. In a\r\nmulti-variate analysis, relations between data attributes are investigated, e.g., by searching for correla-\r\ntions. In a local investigation, the user inspects the values of selected attributes with respect to certain\r\nspatiotemporal subsets of the observation space.\r\n\r\nIn this tutorial, we discuss examples for successful applications of IVA to scientific data from various\r\nfields: climate research, medicine, epidemiology, and flow simulation / computation, in particular for\r\nautomotive engineering. We base our discussions on a theoretical foundation of IVA which helps the\r\ntutorial attendees in transferring the subject matter to their own data and application area. In the course\r\nof the tutorial, the attendees will become acquainted with techniques from statistics and knowledge\r\ndiscovery, which proved to be particularly useful for a specific IVA application. The tutorial further\r\ncomprises an overview of off-the-shelf IVA solutions, which may be be particularly interesting for\r\nvisualization practitioners. It is concluded by a summary of the gained knowledge and a discussion of\r\nopen problems in IVA of scientific data.\r\n\r\nThe tutorial slides will be available at: http://tinyurl.com/SciDataIVA13", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 660, "image_height": 666, "name": "oeltze-2013-tut-image.jpg", "type": "image/jpeg", "size": 101584, "path": "Publication:oeltze-2013-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 751, 176, 983 ], "event": "IEEE VisWeek", "lecturer": [ 751, 176, 983 ], "location": "Atlanta, Georgia, USA", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 660, "image_height": 666, "name": "oeltze-2013-tut-image.jpg", "type": "image/jpeg", "size": 101584, "path": "Publication:oeltze-2013-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Tutorial proposal", "main_file": true, "use_in_gallery": false, "access": "public", "name": "oeltze-2013-tut-Tutorial proposal.pdf", "type": "application/pdf", "size": 1923902, "path": "Publication:oeltze-2013-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-Tutorial proposal.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-Tutorial proposal:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/", "__class": "Publication" }, { "id": "Peter_2012_AIV", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Semantics by Analogy for Illustrative Volume Visualization", "date": "2012-05", "abstract": "We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and\ngraphical specification of semantics for volumetric features allows us to visually assign meaning to both input and output parameters\nof the visualization mapping. This is in contrast to the implicit way of specifying semantics using transfer functions. In particular,\nwe demonstrate how to realize a dynamic specification of semantics which allows to flexibly explore a wide range of mappings.\nOur approach is based on three concepts. First, we use semantic shader augmentation to automatically add rule-based rendering\nfunctionality to static visualization mappings in a shader program, while preserving the visual abstraction that the initial shader\nencodes. With this technique we extend recent developments that define a mapping between data attributes and visual attributes\nwith rules, which are evaluated using fuzzy logic. Second, we let users define the semantics by analogy through brushing on\nrenderings of the data attributes of interest. Third, the rules are specified graphically in an interface that provides visual clues for\npotential modifications. Together, the presented methods offer a high degree of freedom in the specification and exploration of\nrule-based mappings and avoid the limitations of a linguistic rule formulation.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Peter_2012_AIV-Image.jpg", "type": "image/jpeg", "size": 177301, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 649, 488, 960, 166 ], "journal": "Computers & Graphics", "number": "3", "pages_from": "201", "pages_to": "213", "volume": "36", "research_areas": [ "IllVis" ], "keywords": [ "shader augmentation", "semantic visualization mapping", "illustrative visualization", "Volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Peter_2012_AIV-Image.jpg", "type": "image/jpeg", "size": 177301, "path": "Publication:Peter_2012_AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Peter_2012_AIV-Paper.pdf", "type": "application/pdf", "size": 16916371, "path": "Publication:Peter_2012_AIV", "url": 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"https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/", "__class": "Publication" }, { "id": "rautek2010", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Continuous Integration", "date": "2010-11-10", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "icon", "filetitle": "icon", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 229, "image_height": 220, "name": "rautek2010-icon.jpg", "type": "image/jpeg", "size": 6607, "path": "Publication:rautek2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488 ], "event": "Software Engineering Seminar", "lecturer": [ 488 ], "location": "Vienna", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "icon", "filetitle": "icon", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 229, "image_height": 220, "name": "rautek2010-icon.jpg", "type": "image/jpeg", "size": 6607, "path": "Publication:rautek2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon:thumb{{size}}.png" }, { "description": "The slides of the talk", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "rautek2010-slides.ppt", "type": "", "size": 2704384, "path": "Publication:rautek2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-slides.ppt", "thumb_image_sizes": [] }, { "description": "The talk incl. slides", "filetitle": "talk", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 480, "name": "rautek2010-talk.avi", "type": "video/x-msvideo", "size": 246086328, "path": "Publication:rautek2010", "preview_name": "rautek2010-talk:preview.png", "preview_type": "image/jpeg", "preview_size": 27538, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-talk.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-talk:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-talk:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/", "__class": "Publication" }, { "id": "Ropinski-2012-UBT", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Unified Boundary-Aware Texturing for Interactive Volume Rendering", "date": "2012-11", "abstract": "In this paper, we describe a novel approach for applying texture mapping to volumetric data sets. In contrast to previous\r\napproaches, the presented technique enables a unified integration of 2D and 3D textures and thus allows to emphasize material\r\nboundaries as well as volumetric regions within a volumetric data set at the same time. One key contribution of this paper is a\r\nparametrization technique for volumetric data sets, which takes into account material boundaries and volumetric regions. Using this\r\ntechnique, the resulting parametrizations of volumetric data sets enable texturing effects which create a higher degree of realism in\r\nvolume rendered images. We evaluate the quality of the parametrization and demonstrate the usefulness of the proposed concepts by\r\ncombining volumetric texturing with volumetric lighting models to generate photorealistic volume renderings. Furthermore, we show the\r\napplicability in the area of illustrative visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Volumetric parametization of a human head volume dataset", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 666, "image_height": 918, "name": "Ropinski-2012-UBT-Teaser.png", "type": "image/png", "size": 241980, "path": "Publication:Ropinski-2012-UBT", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 951, 952, 161, 953, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "11", "pages_from": "1942", "pages_to": "1955", "volume": "18", "research_areas": [], "keywords": [ "interactive volume rendering", "volumetric texturing" ], "weblinks": [ { "href": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6104040", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Volumetric parametization of a human head volume dataset", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 666, "image_height": 918, "name": "Ropinski-2012-UBT-Teaser.png", "type": "image/png", "size": 241980, "path": "Publication:Ropinski-2012-UBT", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser:thumb{{size}}.png" }, { "description": "Demonstration video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1024, "preview_image_height": 768, "name": "Ropinski-2012-UBT-Video.mp4", "type": "video/mp4", "size": 30822046, "path": "Publication:Ropinski-2012-UBT", "preview_name": "Ropinski-2012-UBT-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 37387, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/", "__class": "Publication" }, { "id": "schmidt-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Scalable Comparative Visualization", "date": "2016-06-28", "abstract": "The comparison of two or more objects is getting an increasingly important task in data analysis. Visualization systems successively have to move from representing one phenomenon to allowing users to analyze several datasets at once. Visualization systems can support the users in several ways. Firstly, comparison tasks can be supported in a very intuitive way by allowing users to place objects that should be compared in an appropriate context. Secondly, visualization systems can explicitly compute differences among the datasets and present the results to the user. In comparative visualization, researchers are working on new approaches for computer-supported techniques that provide data comparison functionality. Techniques from this research field can be used to compare two objects with each other, but often reach their limits if a multitude of objects (i.e., 100 or more) have to be compared. Large data collections that contain a lot of individual, but related, datasets with slightly different characteristics can be called ensembles. The individual datasets being part of an ensemble are called the ensemble members. Ensembles have been created in the simulation domain, especially for weather and climate research, for already quite some time. These domains were greatly driving the development of ensemble visualization techniques. Due to the availability of affordable computing resources and the multitude of different analysis algorithms (e.g., for segmentation), other domains nowadays also face similar problems. All together, this shows a great need for ensemble visualization techniques in various domains. Ensembles can either be analyzed in a feature-based or in a location-based way. In the case of a location-based analysis, the ensemble members are compared based on certain spatial data positions of interest. For such an analysis, local selection and analysis techniques for ensembles are needed.\n\nIn the course of this thesis different visual analytics techniques for the comparative visualization of datasets have been researched. A special focus has been set on providing scalable techniques, which makes them also suitable for ensemble datasets. The proposed techniques operate on different dataset types in 2D and 3D. In the first part of the thesis, a visual analytics approach for the analysis of 2D image datasets is introduced. The technique analyzes localized differences in 2D images. The approach not only identifies differences in the data, but also provides a technique to quickly find out what the differences are, and judge upon the underlying data. This way patterns can be found in the data, and outliers can be identified very quickly. As a second part of the thesis, a scalable application for the comparison of several similar 3D mesh datasets is described. Such meshes may be, for example, created by point-cloud reconstruction algorithms, using different parameter settings. Similar to the proposed technique for the comparison of 2D images, this application is also scalable to a large number of individual datasets. The application enables the automatic comparison of the meshes, searches interesting regions in the data, and allows users to also concentrate on local regions of interest. The analysis of the local regions is in this case done in 3D. The application provides the possibility to arrange local regions in a parallel coordinates plot. The regions are represented by the axes in the plot, and the input meshes are depicted as polylines. This way it can be very quickly spotted whether meshes produce good/bad results in a certain local region. In the third and last part of the thesis, a technique for the interactive analysis of local regions in a volume ensemble dataset is introduced. Users can pick regions of interest, and these regions can be arranged in a graph according to their similarity. The graph can then be used to detect similar regions with a similar data distribution within the ensemble, and to compare individual ensemble members against the rest of the ensemble. All proposed techniques and applications have been tested with real-world datasets from different domains. The results clearly show the usefulness of the techniques for the comparative analysis of ensembles.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950 ], "date_end": "2016", "date_start": "2011", "reviewer_1": [ 166 ], "reviewer_2": [ 161 ], "rigorosum": "2016-06-28", "supervisor": [ 166 ], "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 603, "image_height": 446, "name": "schmidt-phd-teaser.png", "type": "image/png", "size": 11954, "path": "Publication:schmidt-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 589, "preview_image_height": 460, "name": "schmidt-phd-thesis.pdf", "type": "application/pdf", "size": 42185190, "path": "Publication:schmidt-phd", "preview_name": "schmidt-phd-thesis:preview.png", "preview_type": "image/png", "preview_size": 814656, "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL", "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/", "__class": "Publication" }, { "id": "sikachev_peter_2010_STLCI", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "STL Containers Inside", "date": "2010-05-25", "abstract": "STL containers are discussed in genereal. 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Many\r\ntechniques make use of the focus+context approach in a static manner. These techniques do not fully make use\r\nof the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient\r\nfeatures during user interaction. We explore rotation, panning, and zooming interaction semantics and propose\r\nseveral methods of changing visual representations, based on a suggested engagement-estimation method. We\r\nuse DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming\r\nsemantics. 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Even very sophisticated\r\nsystems that exhibit complex user interfaces do usually not exploit\r\nadvanced input and output devices. One of the reasons for that is\r\nthe high cost of special hardware. This paper introduces Augmen-\r\nted Visualization, an interaction method for projection walls as well\r\nas monitors using affordable and widely available hardware such as\r\nmobile phones or tablets. The main technical challenge is the track-\r\ning of the users’ devices without any special equipment or fiducial\r\nmarkers in the working area. We propose to track natural features\r\nof the display content with the built-in camera of mobile devices.\r\nTracking the visualized scene allows pose estimation of the mobile\r\ndevices with six degrees of freedom. The position and orientation\r\ninformation is then used for advanced interaction metaphors like\r\nmagic lenses. For a group of experts who are analyzing the data in\r\nfront of the same screen, a personal augmented view of the visua-\r\nlized scene is presented, for each user on his/her personal device.\r\nThe prototype Augmented Visualization System achieves interactive\r\nframe rates and may lead to a greatly enhanced user experience.\r\nThe paper discusses the design and implementation questions and\r\nillustrates potential application scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 545, "image_height": 300, "name": "Soros_AVN_2011-Teaser.jpg", "type": "image/jpeg", "size": 20571, "path": "Publication:Soros_AVN_2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 901, 488, 956, 166 ], "booktitle": "Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia (MUM 2011) ", "date_from": "2011-12-07", "date_to": "2011-12-09", "event": "10th International Conference on Mobile and Ubiquitous Multimedia (MUM 2011) ", "isbn": "978-1-4503-1096-3", "lecturer": [ 901 ], "location": "Beijing, China", "pages_from": "4", "pages_to": "12", "publisher": "ACM", "research_areas": [], "keywords": [ "human computer interaction", "Handheld augmented reality", "natural feature tracking", "interactive visualization systems" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Soros_AVN_2011-Paper.pdf", "type": "application/pdf", "size": 7543426, "path": "Publication:Soros_AVN_2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 545, "image_height": 300, "name": "Soros_AVN_2011-Teaser.jpg", "type": "image/jpeg", "size": 20571, "path": "Publication:Soros_AVN_2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser:thumb{{size}}.png" }, { "description": "", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "Soros_AVN_2011-Video.avi", "type": "video/x-msvideo", "size": 36561448, "path": "Publication:Soros_AVN_2011", "preview_name": "Soros_AVN_2011-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 27553, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/", "__class": "Publication" }, { "id": "vaico", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VAICo: Visual Analysis for Image Comparison", "date": "2013-12", "abstract": "Scientists, engineers, and analysts are confronted with ever larger and more complex sets of data, whose analysis poses special challenges. In many situations it is necessary to compare two or more datasets. Hence there is a need for comparative visualization tools to help analyze differences or similarities among datasets. In this paper an approach for comparative visualization for sets of images is presented. Well-established techniques for comparing images frequently place them side-by-side. A major drawback of such approaches is that they do not scale well. Other image comparison methods encode differences in images by abstract parameters like color. In this case information about the underlying image data gets lost. This paper introduces a new method for visualizing differences and similarities in large sets of images which preserves contextual information, but also allows the detailed analysis of subtle variations. Our approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this process are then presented in an interactive web application which allows users to rapidly explore the space of differences and drill-down on particular features. We demonstrate the flexibility of our approach by applying it to multiple distinct domains.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 289, "name": "vaico-teaser.png", "type": "image/png", "size": 206295, "path": "Publication:vaico", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 166, 161 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 950 ], "note": "Demo: http://www.cg.tuwien.ac.at/~jschmidt/vaico/", "number": "12", "pages_from": "2090", "pages_to": "2099", "volume": "19", "research_areas": [ "InfoVis" ], "keywords": [ "focus+context", "image-set comparison", "Comparative visualization" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2013.213", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Fast-Forward Video - 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3:50min - 27MB - DivX5", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 960, "preview_image_height": 720, "name": "vaico-video.avi", "type": "video/x-msvideo", "size": 27666804, "path": "Publication:vaico", "preview_name": "vaico-video:preview.png", "preview_type": "image/png", "preview_size": 187664, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:video.mp4" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/", "__class": "Publication" }, { "id": "ymca", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "YMCA - Your Mesh Comparison Application", "date": "2014-11", "abstract": "Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. With our comparative visualization approach, differences between several mesh reconstruction algorithms can be easily localized and inspected.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 644, "image_height": 661, "name": "ymca-teaser.png", "type": "image/png", "size": 1279857, "path": "Publication:ymca", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 950, 799, 808, 193, 166, 161 ], "booktitle": "IEEE Visual Analytics Science and Technology", "date_from": "2014-11-09", "date_to": "2014-11-14", "lecturer": [ 950 ], "location": "Paris, France", "note": "http://dx.doi.org/10.1109/VAST.2014.7042491", "publisher": "IEEE Computer Society", "series": "VAST ", "research_areas": [ "InfoVis" ], "keywords": [ "mesh comparison", "3D data exploration", "focus+context", "comparative visualization", "Visual analysis" ], "weblinks": [], "files": [ { "description": "paper (authors personal copy, accepted for publication by IEEE)", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 669, "preview_image_height": 430, "name": "ymca-paper.pdf", "type": "application/pdf", "size": 2169351, "path": "Publication:ymca", "preview_name": "ymca-paper:preview.png", "preview_type": "image/png", "preview_size": 864893, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 644, "image_height": 661, "name": "ymca-teaser.png", "type": "image/png", "size": 1279857, "path": "Publication:ymca", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png" }, { "description": "demonstration of the application - 4:30 min - 20.2 MB", "filetitle": "video-demo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 64, "preview_image_height": 41, "name": "ymca-video-demo.wmv", "type": "application/octet-stream", "size": 21207342, "path": "Publication:ymca", "preview_name": "ymca-video-demo:preview.png", "preview_type": "image/png", "preview_size": 8002, "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo:thumb{{size}}.png" } ], "projects_workgroups": [ "ViMaL" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/ViMaL", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", 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"bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", 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"gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "Smart-CT", "workgroup_id": "vis", "drupal_id": 4224, "drupal_path": "/research/projects/Smart-CT", "name": "Smart-CT: Genaue Geometriebestimmung und Interfacecharakterisierung von Multi-Materialbauteilen mittels Kegelstrahl-CT", "name_de": null, "short_title": "Smart-CT", "website": null, "status": "active", "short_abstract": "Die Vermessung der 3D-Geometrie und von inneren Grenzflächen (z.B. Materialübergänge, Porennester, Inhomogenitäten,¿) von industriellen Objekten wie z.B. Multimaterial und Verbund-werkstoffkomponenten ist integraler Bestandteil moderner Bauteilentwicklung und Qualitätssicherung. Üblicherweise wird die Geometrie taktil mittels Koordinatenmessgeräten an vordefinierten Punkten gemessen. In speziellen Fällen wird die taktile Messtechnik mittels optischer Scanner unterstützt. Allerdings können beide Messverfahren nicht innere Geometrien oder Materialübergänge erfassen. Um diese Nachteile zu eliminieren, wird in letzter Zeit immer häufiger Röntgen-Computertomografie (CT) verwendet. Hierbei wird meist 3DCT eingesetzt (=CT mit einer Kegelstrahl-Röntgenquelle und einem Matrixdetektor), die wegen der signifikant kürzeren Messzeiten und der damit verbundenen Kostenersparnis für die meisten Anwendungen attraktiver ist als konventionelle 2DCT (=CT mit einer Fächerstrahl-Quelle und einem Zeilendetektor)[CT08, PTB07, DIR07, DIR03, SS00]. CT ist eine zerstörungsfreie Methode, mit der Bauteile dreidimensional vermessen werden und versteckte Fehler (z.B. Lunker, Risse, Verunreinigungen, Poren, Materialfehler, Materialübergänge,...) in der Tiefe eines Werkstoffes detektiert werden können. Das Verfahren der CT ist seit vielen Jahren in der medizinischen Diagnostik etabliert und hat in jüngster Zeit sehr stark an Bedeutung in der Industrie gewonnen. Der Fokus dieses vorgeschlagenen Projekts liegt im Bereich der 3DCT für industrielle Anwendungen. Für alle weiteren Ausführungen wird CT in diesem Kontext betrachtet.", "abstract": "Die Vermessung der 3D-Geometrie und von inneren Grenzflächen (z.B. Materialübergänge, Porennester, Inhomogenitäten,¿) von industriellen Objekten wie z.B. Multimaterial und Verbund-werkstoffkomponenten ist integraler Bestandteil moderner Bauteilentwicklung und Qualitätssicherung. Üblicherweise wird die Geometrie taktil mittels Koordinatenmessgeräten an vordefinierten Punkten gemessen. In speziellen Fällen wird die taktile Messtechnik mittels optischer Scanner unterstützt. Allerdings können beide Messverfahren nicht innere Geometrien oder Materialübergänge erfassen. Um diese Nachteile zu eliminieren, wird in letzter Zeit immer häufiger Röntgen-Computertomografie (CT) verwendet. Hierbei wird meist 3DCT eingesetzt (=CT mit einer Kegelstrahl-Röntgenquelle und einem Matrixdetektor), die wegen der signifikant kürzeren Messzeiten und der damit verbundenen Kostenersparnis für die meisten Anwendungen attraktiver ist als konventionelle 2DCT (=CT mit einer Fächerstrahl-Quelle und einem Zeilendetektor)[CT08, PTB07, DIR07, DIR03, SS00]. CT ist eine zerstörungsfreie Methode, mit der Bauteile dreidimensional vermessen werden und versteckte Fehler (z.B. Lunker, Risse, Verunreinigungen, Poren, Materialfehler, Materialübergänge,...) in der Tiefe eines Werkstoffes detektiert werden können. Das Verfahren der CT ist seit vielen Jahren in der medizinischen Diagnostik etabliert und hat in jüngster Zeit sehr stark an Bedeutung in der Industrie gewonnen. Der Fokus dieses vorgeschlagenen Projekts liegt im Bereich der 3DCT für industrielle Anwendungen. Für alle weiteren Ausführungen wird CT in diesem Kontext betrachtet.", "start_date": "2009-01-01", "end_date": "2013-09-27", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", "Loeffelmann-1995-RTE", "loeffelmann-1996-CVA", "Loeffelmann-1996-DS3", "loeffelmann-1996-SVM", "Loeffelmann-1997-FV2", "Loeffelmann-1997-HSV", "Loeffelmann-1997-VPM", "Loeffelmann-1998-Enh", "Loeffelmann-1998-EVC", "Loeffelmann-1998-SMURF", "Loeffelmann-1998-VDS", "Loeffelmann-1998-Vis", "Loeffelmann-1998-Visu", "Loeffelmann-1999-SMU", "malik-2007-FP", "malik-2009-CVFA", "malik-2010-cvp", "manylands_award", "Matkovic-2002-Pro", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Meinhart-1998-Tun", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Milik-1997-GMMO", "Milik-1998-Geo", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mindek-2017-marion", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Morar_2012_ISB", "Mroz-1998-Bri", "Mroz-1998-Sel", "Mroz-1998-SelX", "Mroz-1999-Adv", "Mroz-1999-IHQ", "Mroz-1999-MIP", "Mroz-1999-Real", "Mroz-1999-ReaX", "Mroz-2000-Int", "Mroz-2000-Mas", "Mroz-2000-MasX", "Mroz-2000-Rea", "Muigg_2011_VC", "muigg-2011-gpg", "musleh-2023-ugi", "Neumann-2000-Gra", "Neumann-2002-Fea", "oda-2025-artevoviewer", "ortner-2016-tunnel", "ortner-2016-visaware", "Ortner2020", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-kav", "patel-2010-SVV", "patel-2011-PEA", "Peter_2012_AIV", "piringer-2009-hds", "PMI_AR_2012", "preim-2009-sve", "purgathofer-1988-using", "Purgathofer-1994-CPI", "Purgathofer-1999-Gra", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_slicedice", "raidou_visgap2020", "raidou2018visualflatter", "raidou2019_prsps", "rauer-zechmeister-2024-h3p", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Rautek06Vis", "Red_Andreas_2015_FFT", "reh-2013", "reh-2015-areh", "reina-2020-mtv", "Reiter_2009_IXIA", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "roos-2007-mcp", "Ropinski-2012-UBT", "rsabin-2013", "Sarkis_2021", "Sbardellati-2019-vcbm", "Schernthaner-2017-MCP", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-avp-2009", "sorger_2017_metamorphers", "sorger-2015-litevis", "sorger-2015-taxintec", "Soros_AVN_2011", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "Straka-2003-3DW", "Straka-2003-Apr", "Straka-2003-Bon", "Straka-2003-CTA", "Straka-2004-BSA", "Straka-2004-TVG", "StrakaVis2004", "suntinger-2008-etet", "suntinger-2008-tet", "szabo-2023-fig", "tanaka-2024-vor", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-scmr", "Theussl-1999-MDH", "Theussl-2000-MWI", "Theussl-2001-ORS", "Theussl-2001-RIV", "Theussl-2002-RSH", "Theussl-2003-Rec", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-13", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "tretyak-2025-tacmedvr", "Troidl_2022", "Tsoi-2000-Ada", "Vad_Viktor_2015_RVV", "vad_viktor-2017-WVE", "vaico", "Vilanova-1999-Vir", "Vilanova-1999-VirX", "Vilanova-2000-CAT", "Vilanova-2000-Cyl", "Vilanova-2000-VCF", "Vilanova-2001-Non", "Vilanova-2001-Per", "Vilanova-2001-VCU", "Vilanova-2001-Vir", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "Viola-2003-NON", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2011", "Wagner-2002-End", "walch-2025-bemtrace", 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"pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "AutARG", "workgroup_id": "vis", "drupal_id": 4226, "drupal_path": "/research/projects/AutARG", "name": "AutARG: Automatic Algorithms for Result Generation in Visualization", "name_de": null, "short_title": "AutARG", "website": null, "status": "active", "short_abstract": "The main goal of the proposed Dissertation Fellowship project AutARG (Automatic Algorithms for Result Generation in Visualization) is to speed up the analysis process of 3D/4D simulation data from different domains like engineering, meteorology, climatology, or medical applications. Since the number and size of simulations in these fields is increasing rapidly fewer and fewer time can be spent in the actual analysis process of the generated data. We therefore want to introduce novel approaches to semi-automatically generate visualization and analysis results based on user-defined templates, rules and semantic information gathered during previous interactive analysis sessions. This will greatly improve the efficiency of the post-processing phase necessary to document and present information gained from the simulation results. In the course of this project we plan to research efficient and user friendly methods for the analysis and presentation of simulation results, which will be implemented in the SimVis framework. SimVis is a state of the art interactive visual analysis tool for large and complex simulation data, which up to now, like many other state of the art systems, is relying mostly on time-consuming user interaction. The planned project will be structured into three larger phases of research and development. In the first phase automatic generation of visualization results based on manually specified features will be introduced. The second phase will deal with semi-automatic feature specification based on templates additionally to the automatic result generation. The third phase should extend the proposed methods to incorporate story telling functionality which can be used to present results to non-experts. The results of this project will not only include the PhD thesis of Philipp Muigg and a larger number of high-quality publications, but also newly developed software modules, which shall be capable of demonstrating the full potential of the newly developed methods also for real world datasets from various application fields.", "abstract": "The main goal of the proposed Dissertation Fellowship project AutARG (Automatic Algorithms for Result Generation in Visualization) is to speed up the analysis process of 3D/4D simulation data from different domains like engineering, meteorology, climatology, or medical applications. Since the number and size of simulations in these fields is increasing rapidly fewer and fewer time can be spent in the actual analysis process of the generated data. We therefore want to introduce novel approaches to semi-automatically generate visualization and analysis results based on user-defined templates, rules and semantic information gathered during previous interactive analysis sessions. This will greatly improve the efficiency of the post-processing phase necessary to document and present information gained from the simulation results. In the course of this project we plan to research efficient and user friendly methods for the analysis and presentation of simulation results, which will be implemented in the SimVis framework. SimVis is a state of the art interactive visual analysis tool for large and complex simulation data, which up to now, like many other state of the art systems, is relying mostly on time-consuming user interaction. The planned project will be structured into three larger phases of research and development. In the first phase automatic generation of visualization results based on manually specified features will be introduced. The second phase will deal with semi-automatic feature specification based on templates additionally to the automatic result generation. The third phase should extend the proposed methods to incorporate story telling functionality which can be used to present results to non-experts. The results of this project will not only include the PhD thesis of Philipp Muigg and a larger number of high-quality publications, but also newly developed software modules, which shall be capable of demonstrating the full potential of the newly developed methods also for real world datasets from various application fields.", "start_date": "2009-04-01", "end_date": "2013-06-03", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", 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"breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "Semantic Steering", "workgroup_id": "vis", "drupal_id": 4228, "drupal_path": "/research/projects/Semantic-Steering", "name": "Semantic Steering", "name_de": null, "short_title": "Semantic Steering", "website": null, "status": "active", "short_abstract": "Mission: \"To support time-critical decision making using visual simulation control\"", "abstract": "Fluid simulation tools are capable of predicting natural processes and may be employed for the assistance in the human decision making process. Existing solutions lack a number of important features needed for a feasible support system. Very important is the usability of the simulation tools by non-experts in real-time without special fluid simulation expertise. More research is thus needed which fully exploits modern visualization, steering and simulation technologies. Especially, with the capabilities of graphics hardware clusters, everybody will have access to affordable supercomputing power on their desktop. Until now, little work has been done to use this power for interactive simulation for knowledge generation. In this proposal we suggest a novel, integrated system that operates in real-time and provides effective feedback via an intuitive web-based interface. The proposed technique enables users to interact with a remote simulation system based on their understanding and to examine alternative scenarios in a short period of time. Among the application areas of the suggested system we consider the industrial design of components where rapid prototyping is required. Using a less accurate but fast and intuitive system will help to evaluate whether a certain concept is promising during the design phase. Another important application will be the assistance in emergency situations that are caused by natural disasters such as floods, where safety and damage limitation depend on fast decisions. Our vision is that, even under time-critical circumstances, emergency personel on-site will be able to analyze the imminent situation quickly to finally choose the best response strategy. Consider a flooding situtation, where helpers are trying to prevent danage by arranging flow barriers in different locations. Using a mobile device like a hand-held tablet pc, the helpers are capable to quickly setup and perform a simulation. Interactive 3d renderings and 2d sketches of the local area illustrate the simulation outcome and show the flooding risks. Assuming that later, the weather conditions change unexpectedly, quick responses are necessary. By means of intuitive drawing with a control pen, users rearrange the barriers and start an additional simulation. In such an interactive cycle, helpers are able to quickly optimize the arrangement of the barriers.\nTo realize our vision we plan the integration and extension of methods from multivariate visualization, computational steering and physical simulation. This combination evolves into a new paradigm we call semantic steering: Users will be able to steer simulations based on their knowledge and understanding. We suggest to move from a direct manipulation of numbers towards interaction with advanced visual controls. No more complicated rethinking, users simply sketch their ideas. Visual analytics will be crucial for the success of the project. Visualization is a natural way to get insight into the complex simulation outcome and to understand the relevance of decisions made. Novel techniques are required as users will be confronted with a whole range of simulation runs. To develop and show the feasibilty of our concepts we will incorporate existing simulation solutions that are implemented on graphics hardware and provide a good tradeoff between accuracy and speed. New data structures and algorithms for scalable visualization, interaction, analytics and data-handling are necessary and we have compiled a team of senior and junior scientists with experience in both scientific research and industrial applications to solve the involved questions.", "start_date": "2010-06-01", "end_date": "2013-05-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", 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In many application areas, decisions can only be made by exploring alternative scenarios. The goal\r\nof the suggested approach is to support users in this decision making process. In this setting, the data domain is extended to a set of\r\nalternative worlds where only one outcome will actually happen. World Lines integrates simulation, visualization and computational\r\nsteering into a single unified system that is capable of dealing with the extended solution space. World Lines represents simulation\r\nruns as causally connected tracks that share a common time axis. This setup enables users to interfere and add new information\r\nquickly. A World Line is introduced as a visual combination of user events and their effects in order to present a possible future. To\r\nquickly find the most attractive outcome, we suggest World Lines as the governing component in a system of multiple linked views\r\nand a simulation component. 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"brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", 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"__class": "Workgroup" } }, { "id": "RESHADE", "workgroup_id": "rend", "drupal_id": 4230, "drupal_path": "/research/projects/RESHADE", "name": "Reciprocal Shading for Mixed Reality", "name_de": null, "short_title": "RESHADE", "website": null, "status": "active", "short_abstract": "The aim of this project is to simulate the mutual influence between real and virtual objects in mixed reality applications.", "abstract": "The aim of the RESHADE project is to simulate the mutual influence between real and virtual objects in mixed reality applications. Virtual objects in such applications appear disturbingly artificial because rendering completely ignores the real environment. But from the term mixed reality one would expect that virtual and real object harmoniously blend into one visual perception and cannot be distinguished easily.
\r\n\r\nThe ambitious goal of this project is to provide users with a perfect illusion, so that they cannot perceive a difference between virtual and real objects. That means virtual objects are responsive to changes in the real environment in real time. They have to be rendered in a believable realistic way so that they smoothly blend with reality. It is also important to simulate the visual effects of virtual objects on real ones.
\r\n\r\nBesides for realistic rendering this technique can also be used for innovative ways of interaction and dynamic behaviour of virtual objects, which are key aspects of mixed reality.
\r\n\r\nResearch focuses on real time rendering algorithms for mixed reality applications that consider the lighting and geometry of the real environment. Special cameras will continuously capture reality. The real geometry will also be used to simulate effects of virtual objects on real ones in real time. Shading of real objects will be corrected by digital composition.
\r\n\r\nResearch results will be repeatedly evaluated in the course of the project within three different application scenarios. Thereby human perception is the sole key factor for assessment of the quality of the solution.
\r\n", "start_date": "2009-02-01", "end_date": "2013-01-31", "leader_id": { "id": 237, "drupal_id": 143, "orcid_id": "0000-0003-4157-1232", "website": "https://www.cg.tuwien.ac.at/staff/ChristophTraxler", "firstname": "Christoph", "lastname": "Traxler", "searchname": "Christoph Traxler", "is_teacher": false, "name": "Christoph Traxler", "publications": [ "gervautz-1995-repre", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KUE11", "Matkovic-2002-Vir", "schmalstieg-1996-IRN", "TRA08", "TRA08b", "traxler-1994-rep", "Traxler-1994-RRR", "traxler-1995-clac", "Traxler-1996-CTB", "Traxler-1996-GAI", "traxler-1997-TRA", "traxler-2009-dhm", "Traxler-thesis1", "xmas-1994", "xmas-1995", "Zotti-2003-AMP", "zotti-2003-ash" ], "publications_first": [], "project_leader": [ "RESHADE" ], "publication_field": [ { "publ_id": "DOG10", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "STREICHER-2022-DSLS", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "TRA08", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "TRA08b", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Trautner_Thomas_2014_VAE", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "traxler-1997-TRA", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "traxler-2009-dhm", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=237", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:RESHADE", "type": "image/png", "size": 187528, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/RESHADE/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": "820916", "comment": "FIT-IT Visual Computing", "funding_organisation": { "id": "FFF", "drupal_id": 4141, "name": "FFG", "logo": { "name": "logo.png", "type": "image/png", "size": 2040, "orig_name": "logo.png", "path": "FundingOrganisation:FFF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/FFF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "ADAPT", "contract_number": null, "comment": null }, { "id": "AR-AQ-Bau", "contract_number": "867375", "comment": null }, { "id": "AutARG", "contract_number": "FIT-IT project no. 819352", "comment": null }, { "id": "BimFlexi", "contract_number": null, "comment": null }, { "id": "EvaluARte", "contract_number": null, "comment": null }, { "id": "GAMEWORLD", "contract_number": "813387", "comment": "FIT-IT Visual Computing" }, { "id": "Landspotting", "contract_number": "2008999", "comment": null }, { "id": "REPLICATE", "contract_number": "835948", "comment": "FIT-IT" }, { "id": "RESHADE", "contract_number": "820916", "comment": "FIT-IT Visual Computing" }, { "id": "Scanopy", "contract_number": "812126", "comment": null }, { "id": "SCI_BIM", "contract_number": "867314", "comment": "Stadt der Zukunft" }, { "id": "Sim-CT", "contract_number": "812136-SCK/KUG (Bridge project)", "comment": null }, { "id": "Smart-CT", "contract_number": "818108 (Bridge project)", "comment": null }, { "id": "Smile Analytics", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" }, { "id": "TERAPOINTS", "contract_number": "825842", "comment": "FIT-IT Visual Computing" }, { "id": "Wohnen 4.0", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", 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"KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "celarek_adam-2012-rrmro", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Merging Ray Tracing and Rasterization in Mixed Reality", "date": "2012-11", "abstract": "In mixed reality, virtual objects are inserted into a video stream of a real environment. This technique can be used for many applications including marketing, simulations and cultural heritage. Therefore it is important that the images look plausible. Many applications also have real time constraints.\r\nWith traditional rasterization it is difficult to create realistic reflections and refractions. In ray tracing on the other hand this is a trivial task, but rendering is slow. The solution described in this work uses the graphics card for speeding up ray tracing. Additionally it employs a rasterizer for diffuse surfaces and only traces rays if there is a reflective or refractive surface visible. This works by creating a ray tracing mask using the fast rasterizer in a first step. It holds true for reflective or refractive surfaces and false otherwise. Then all diffuse objects are drawn using the rasterizer. Finally rays are traced on each pixel which is masked as reflective or refractive surface by the ray tracing mask. These rays produce secondary rays which can hit a diffuse surface eventually. In this case the ray tracer takes over the shading. \r\nResults show, that our hybrid rendering method allows high quality reflections and refractions while still having interactive frame rates in mixed reality scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image 2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "celarek_adam-2012-rrmro-image 2.jpg", "type": "image/jpeg", "size": 243591, "path": "Publication:celarek_adam-2012-rrmro", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1013 ], "date_end": "2012-11-30", "date_start": "2012-03-01", "matrikelnr": "0926881", "supervisor": [ 193, 736 ], "research_areas": [], "keywords": [ "Refraction", "OptiX", "Augmented Reality", "Reflection" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image 2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "celarek_adam-2012-rrmro-image 2.jpg", "type": "image/jpeg", "size": 243591, "path": "Publication:celarek_adam-2012-rrmro", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2:thumb{{size}}.png" }, { "description": "Bachelor Thesis", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "celarek_adam-2012-rrmro-paper.pdf", "type": "application/pdf", "size": 7983231, "path": "Publication:celarek_adam-2012-rrmro", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/", "__class": "Publication" }, { "id": "jahrmann_klemens_KFR", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Kinect Fusion - Reconstruction", "date": "2013-02", "abstract": "The procedure of collecting 3D data via an input device and processing it to a virtual 3D model is called 3D reconstruction. It is a widely used technique in visual computing, since modern applications like games or visualizations tend to be more and more photo-realistic leading to high costs in content creation. By using 3D reconstruction high quality geometry can be generated out of real objects. However to obtain good reconstructions special hardware is needed which is very expensive.\r\nSince Microsoft released the Kinect camera, which has a depth sensor in addition to the RGB-sensor, a quite cheap hardware is available that is able to extract 3D data of its surroundings. KinectFusion also developed by Microsoft is a technique that uses the Kinect camera for 3D reconstruction in real-time. In order to achieve real-time speed the algorithm is executed almost exclusively on the graphics card.\r\nEach frame the algorithm first gathers the information from the Kinect and processes it. After that it measures the camera’s position in space and fills a 3D volume with surface data. Finally a raycasting algorithm is used to extract isosurfaces out of the volume. During the work on the thesis we implemented the KinectFusion algorithm inside the RESHADE framework. The results and the implementation itself are presented as part of the thesis.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1277, "image_height": 478, "name": "jahrmann_klemens_KFR-image.jpg", "type": "image/jpeg", "size": 585013, "path": "Publication:jahrmann_klemens_KFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1009 ], "date_start": "2011-10-01", "matrikelnr": "0826080", "supervisor": [ 193, 736 ], "research_areas": [], "keywords": [ "Reconstruction", "Kinect Fusion" ], "weblinks": [], "files": [ { "description": "Image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1277, "image_height": 478, "name": "jahrmann_klemens_KFR-image.jpg", "type": "image/jpeg", "size": 585013, "path": "Publication:jahrmann_klemens_KFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image:thumb{{size}}.png" }, { "description": "Bachelor Thesis", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jahrmann_klemens_KFR-Thesis.pdf", "type": "application/pdf", "size": 4963634, "path": "Publication:jahrmann_klemens_KFR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/", "__class": "Publication" }, { "id": "knecht_2013_RSM", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Reciprocal Shading for Mixed Reality", "date": "2013-12", "abstract": "Reciprocal shading for mixed reality aims to integrate virtual objects into real environments in a way that they are in the ideal case indistinguishable from real objects. It is therefore an attractive technology for architectural visualizations, product visualizations and for cultural heritage sites, where virtual objects should be seamlessly merged with real ones. Due to the improved performance of recent graphics hardware, real-time global illumination algorithms are feasible for mixed-reality applications, and thus more and more researchers address realistic rendering for mixed reality.\n\nThe goal of this thesis is to provide algorithms which improve the visual plausibility of virtual objects in mixed-reality applications. Our contributions are as follows:\n\nFirst, we present five methods to reconstruct the real surrounding environment. In particular,\nwe present two methods for geometry reconstruction, a method for material estimation at interactive frame rates and two methods to reconstruct the color mapping characteristics of the video see-through camera.\n\nSecond, we present two methods to improve the visual appearance of virtual objects. The first, called differential instant radiosity, combines differential rendering with a global illumination method called instant radiosity to simulate reciprocal shading effects such as shadowing and indirect illumination between real and virtual objects. The second method focuses on the visual\nplausible rendering of reflective and refractive objects. The high-frequency lighting effects caused by these objects are also simulated with our method.\n\nThe third part of this thesis presents two user studies which evaluate the influence of the presented\nrendering methods on human perception. The first user study measured task performance with respect to the rendering mode, and the second user study was set up as a web survey where\nparticipants had to choose which of two presented images, showing mixed-reality scenes, they preferred.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736 ], "co_supervisor": [ 1299 ], "date_end": "2013-12", "date_start": "2009-08", "reviewer_1": [ 193 ], "reviewer_2": [ 1299 ], "rigorosum": "2013-12-19", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knecht_2013_RSM-Thesis.pdf", "type": "application/pdf", "size": 69715044, "path": "Publication:knecht_2013_RSM", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/knecht_2013_RSM-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/knecht_2013_RSM-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/", "__class": "Publication" }, { "id": "knecht_martin_2010_DIR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Differential Instant Radiosity for Mixed Reality", "date": "2010-10", "abstract": "In this paper we present a novel plausible realistic rendering method for mixed reality systems, which is useful for many real life application scenarios, like architecture, product visualization or edutainment. To allow virtual objects to seamlessly blend into the real environment, the real lighting conditions and the mutual illumination effects between real and virtual objects must be considered, while maintaining interactive frame rates (20-30fps). The most important such effects are indirect illumination and shadows cast between real and virtual objects.\n\nOur approach combines Instant Radiosity and Differential Rendering. In contrast to some previous solutions, we only need to render the scene once in order to find the mutual effects of virtual and real scenes. The dynamic real illumination is derived from the image stream of a fish-eye lens camera. We describe a new method to assign virtual point lights to multiple primary light sources, which can be real or virtual. We use imperfect shadow maps for calculating illumination from virtual point lights and have significantly improved their accuracy by taking the surface normal of a shadow caster into account. Temporal coherence is exploited to reduce flickering artifacts. Our results show that the presented method highly improves the illusion in mixed reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image0", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1019, "image_height": 763, "name": "knecht_martin_2010_DIR-image0.jpg", "type": "image/jpeg", "size": 461015, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736, 237, 326, 190, 193 ], "booktitle": "Proceedings of the 2010 IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2010)", "date_from": "2010-10-13", "date_to": "2010-10-16", "lecturer": [ 736 ], "location": "Seoul", "note": "Best Paper Award!", "pages_from": "99", "pages_to": "107", "research_areas": [ "Rendering" ], "keywords": [ "Instant Radiosity", "Differential Rendering", "Real-time Global Illumination", "Mixed Reality" ], "weblinks": [], "files": { "0": { "description": null, "filetitle": "image0", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1019, "image_height": 763, "name": "knecht_martin_2010_DIR-image0.jpg", "type": "image/jpeg", "size": 461015, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0:thumb{{size}}.png" }, "1": { "description": "Virtual objects shadow real box", "filetitle": "image1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1023, "image_height": 767, "name": "knecht_martin_2010_DIR-image1.jpg", "type": "image/jpeg", "size": 1376191, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image1:thumb{{size}}.png" }, "2": { "description": "Color bleeding from virtual on real object", "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1022, "image_height": 765, "name": "knecht_martin_2010_DIR-image2.jpg", "type": "image/jpeg", "size": 1430039, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image2:thumb{{size}}.png" }, "3": { "description": "Color bleeding from real on virtual object", "filetitle": "image3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1022, "image_height": 765, "name": "knecht_martin_2010_DIR-image3.jpg", "type": "image/jpeg", "size": 1455524, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image3.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image3:thumb{{size}}.png" }, "4": { "description": "Differential Instant Radiosity for Mixed Reality", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht_martin_2010_DIR-paper.pdf", "type": "application/pdf", "size": 19340106, "path": "Publication:knecht_martin_2010_DIR", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-paper:thumb{{size}}.png" }, "6": { "description": "Video Results", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "knecht_martin_2010_DIR-Video.avi", "type": "video/x-msvideo", "size": 8766976, "path": "Publication:knecht_martin_2010_DIR", "preview_name": "knecht_martin_2010_DIR-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 5344, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video:video.mp4" } }, "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/", "__class": "Publication" }, { "id": "knecht_martin_2012_BRDFEstimation", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interactive BRDF Estimation for Mixed-Reality Applications", "date": "2012-06", "abstract": "Recent methods in augmented reality allow simulating mutual light interactions between real and virtual objects. These methods are able to embed virtual objects in a more sophisticated way than previous methods. However, their main drawback is that they need a virtual representation of the real scene to be augmented in the form of geometry and material properties. In the past, this representation had to be modeled in advance, which is very time consuming and only allows for static scenes.\n\nWe propose a method that reconstructs the surrounding environment and estimates its Bidirectional Reflectance Distribution Function (BRDF) properties at runtime without any preprocessing. By using the Microsoft Kinect sensor and an optimized hybrid CPU & GPU-based BRDF estimation method, we are able to achieve interactive frame rates. The proposed method was integrated into a differential instant radiosity rendering system to demonstrate its feasibility.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Kinect Input", "filetitle": "KinectInput", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1312, "image_height": 480, "name": "knecht_martin_2012_BRDFEstimation-KinectInput.jpg", "type": "image/jpeg", "size": 396166, "path": "Publication:knecht_martin_2012_BRDFEstimation", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736, 920, 237, 193 ], "date_from": "2012-06-25", "date_to": "2012-06-28", "event": "WSCG 2012", "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ 736 ], "location": "Plzen, Czech Republic", "number": "1", "pages_from": "47", "pages_to": "56", "volume": "20", "research_areas": [ "Rendering" ], "keywords": [ "Augmented Reality", "BRDF Estimation", "Reconstruction" ], "weblinks": [], "files": { "0": { "description": "Result", "filetitle": "FinalImage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 480, "name": "knecht_martin_2012_BRDFEstimation-FinalImage.jpg", "type": "image/jpeg", "size": 398907, "path": "Publication:knecht_martin_2012_BRDFEstimation", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-FinalImage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-FinalImage:thumb{{size}}.png" }, "1": { "description": "Kinect Input", "filetitle": "KinectInput", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1312, "image_height": 480, "name": "knecht_martin_2012_BRDFEstimation-KinectInput.jpg", "type": "image/jpeg", "size": 396166, "path": "Publication:knecht_martin_2012_BRDFEstimation", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput:thumb{{size}}.png" }, "2": { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht_martin_2012_BRDFEstimation-paper.pdf", "type": "application/pdf", "size": 1057380, "path": "Publication:knecht_martin_2012_BRDFEstimation", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-paper:thumb{{size}}.png" }, "4": { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knecht_martin_2012_BRDFEstimation-video.mpg", "type": "text/plain", "size": 10586468, "path": "Publication:knecht_martin_2012_BRDFEstimation", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-video.mpg", "thumb_image_sizes": [] } }, "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/", "__class": "Publication" }, { "id": "knecht_martin_2012_RSMR", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Reciprocal Shading for Mixed Reality", "date": "2012-11", "abstract": "In this paper we present a novel plausible rendering method for mixed reality systems, which is useful for many real-life application scenarios, like architecture, product visualization or edutainment. To allow virtual objects to seamlessly blend into the real environment, the real lighting conditions and the mutual illumination effects between real and virtual objects must be considered, while maintaining interactive frame rates. The most important such effects are indirect illumination and shadows cast between real and virtual objects.\n\nOur approach combines Instant Radiosity and Differential Rendering. In contrast to some previous solutions, we only need to render the scene once in order to find the mutual effects of virtual and real scenes. In addition, we avoid artifacts like double shadows or inconsistent color bleeding which appear in previous work. The dynamic real illumination is derived from the image stream of a fish-eye lens camera. The scene gets illuminated by virtual point lights, which use imperfect shadow maps to calculate visibility. A sufficiently fast scene reconstruction is done at run-time with Microsoft's Kinect sensor. Thus a time-consuming manual pre-modeling step of the real scene is not necessary. Our results show that the presented method highly improves the illusion in mixed-reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "GraphicalAbstract", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1328, "image_height": 531, "name": "knecht_martin_2012_RSMR-image.jpg", "type": "image/jpeg", "size": 441789, "path": "Publication:knecht_martin_2012_RSMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736, 237, 326, 193 ], "issn": "0097-8493", "journal": "Computers & Graphics", "number": "7", "pages_from": "846", "pages_to": "856", "volume": "36", "research_areas": [ "Rendering" ], "keywords": [ "Differential rendering", "Reconstruction", "Instant radiosity", "Microsoft Kinect", "Real-time global illumination", "Mixed reality" ], "weblinks": [ { "href": "http://www.sciencedirect.com/science/article/pii/S0097849312001148", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht_martin_2012_RSMR-draft.pdf", "type": "application/pdf", "size": 15824633, "path": "Publication:knecht_martin_2012_RSMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-draft:thumb{{size}}.png" }, { "description": "GraphicalAbstract", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1328, "image_height": 531, "name": "knecht_martin_2012_RSMR-image.jpg", "type": "image/jpeg", "size": 441789, "path": "Publication:knecht_martin_2012_RSMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/", "__class": "Publication" }, { "id": "knecht_martin_2013_ReflRefrObjsMR", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Reflective and Refractive Objects for Mixed Reality", "date": "2013-03", "abstract": "In this paper, we present a novel rendering method which integrates reflective or refractive objects into a differential instant radiosity (DIR) framework usable for mixed-reality (MR) applications. This kind of objects are very special from the light interaction point of view, as they reflect and refract incident rays. Therefore they may cause high-frequency lighting effects known as caustics. Using instant-radiosity (IR) methods to approximate these high-frequency lighting effects would require a large amount of virtual point lights (VPLs) and is therefore not desirable due to real-time constraints. Instead, our approach combines differential instant radiosity with three other methods. One method handles more accurate reflections compared to simple cubemaps by using impostors. Another method is able to calculate two refractions in real-time, and the third method uses small quads to create caustic effects. Our proposed method replaces parts in light paths that belong to reflective or refractive objects using these three methods and thus tightly integrates into DIR. In contrast to previous methods which introduce reflective or refractive objects into MR scenarios, our method produces caustics that also emit additional indirect light. The method runs at real-time frame rates, and the results show that reflective and refractive objects with caustics improve the overall impression for MR scenarios.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "knecht_martin_2013_ReflRefrObjsMR-image.jpg", "type": "image/jpeg", "size": 454801, "path": "Publication:knecht_martin_2013_ReflRefrObjsMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736, 237, 1011, 193 ], "date_from": "2013-03-18", "date_to": "2013-03-20", "event": "IEEE Virtual Reality 2013", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VR 2013)", "lecturer": [ 736 ], "location": "Orlando, Florida", "number": "4", "pages_from": "576", "pages_to": "582", "volume": "19", "research_areas": [ "Rendering" ], "keywords": [ "Mixed Reality", "Caustics", "Reflections", "Refractions" ], "weblinks": [ { "href": "http://dx.doi.org/10.1109/TVCG.2013.39", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "knecht_martin_2013_ReflRefrObjsMR-image.jpg", "type": "image/jpeg", "size": 454801, "path": "Publication:knecht_martin_2013_ReflRefrObjsMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image:thumb{{size}}.png" }, { "description": "Slides", "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht_martin_2013_ReflRefrObjsMR-Slides.pptx", "type": "application/zip", "size": 16711972, "path": "Publication:knecht_martin_2013_ReflRefrObjsMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-Slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/", "__class": "Publication" }, { "id": "knecht_martin-2011-FPSPAR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Framework For Perceptual Studies In Photorealistic Augmented Reality", "date": "2011-03", "abstract": "In photorealistic augmented reality virtual objects are integrated in the real world in a seamless visual manner. To obtain a perfect visual augmentation these objects must be rendered indistinguishable from real objects and should be perceived as such. In this paper we propose a research test bed framework to study the different unresolved perceptual issues in photorealistic augmented reality and its application to different disciplines. The framework computes a global illumination approximation in real-time and therefore leverages a new class of experimental research topics.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Shows a participant performing the experiment", "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 664, "name": "knecht_martin-2011-FPSPAR-image2.JPG", "type": "image/jpeg", "size": 459755, "path": "Publication:knecht_martin-2011-FPSPAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736, 917, 237, 193, 916 ], "booktitle": "Proceedings of the 3rd IEEE VR 2011 Workshop on Perceptual Illusions in Virtual Environments", "date_from": "2011-03-19", "date_to": "2011-03-19", "editor": "Frank Steinicke, Pete Willemsen", "lecturer": [ 736 ], "location": "Singapore", "pages_from": "27", "pages_to": "32", "research_areas": [ "Rendering" ], "keywords": [ "photorealistic augmented reality", "real-time global illumination", "human perception" ], "weblinks": [], "files": [ { "description": "This image shows the augmented scene of our experiment including shadows and color bleeding", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 791, "image_height": 591, "name": "knecht_martin-2011-FPSPAR-image.jpg", "type": "image/jpeg", "size": 353116, "path": "Publication:knecht_martin-2011-FPSPAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image:thumb{{size}}.png" }, { "description": "Shows the green box and the markers for hand tracking", "filetitle": "image1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 664, "name": "knecht_martin-2011-FPSPAR-image1.JPG", "type": "image/jpeg", "size": 313207, "path": "Publication:knecht_martin-2011-FPSPAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image1.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image1:thumb{{size}}.png" }, { "description": "Shows a participant performing the experiment", "filetitle": "image2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1000, "image_height": 664, "name": "knecht_martin-2011-FPSPAR-image2.JPG", "type": "image/jpeg", "size": 459755, "path": "Publication:knecht_martin-2011-FPSPAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2:thumb{{size}}.png" }, { "description": "Shows the three different rendering modes", "filetitle": "image3", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1800, "image_height": 600, "name": "knecht_martin-2011-FPSPAR-image3.tif", "type": "image/tiff", "size": 3268924, "path": "Publication:knecht_martin-2011-FPSPAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image3.tif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image3:thumb{{size}}.png" }, { "description": "A Framework For Perceptual Studies In Photorealistic Augmented Reality", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht_martin-2011-FPSPAR-paper.pdf", "type": "application/pdf", "size": 394970, "path": "Publication:knecht_martin-2011-FPSPAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/", "__class": "Publication" }, { "id": "knecht-2011-CBCM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Adaptive Camera-Based Color Mapping For Mixed-Reality Applications", "date": "2011-10", "abstract": "We present a novel adaptive color mapping method for virtual objects in mixed-reality environments. In several mixed-reality applications, added virtual objects should be visually indistinguishable from real objects. Recent mixed-reality methods use global-illumination algorithms to approach this goal. However, simulating the light distribution is not enough for visually plausible images. Since the observing camera has its very own transfer function from real-world radiance values to RGB colors, virtual objects look artificial just because their rendered colors do not match with those of the camera.\n\nOur approach combines an on-line camera characterization method with a heuristic to map colors of virtual objects to colors as they would be seen by the observing camera. Previous tone-mapping functions were not designed for use in mixed-reality systems and thus did not take the camera-specific behavior into account. In contrast, our method takes the camera into account and thus can also handle changes of its parameters during runtime. The results show that virtual objects look visually more plausible than by just applying tone-mapping operators.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Shows color adaption of virtual book and colorchart on the left", "filetitle": "Image 1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 767, "name": "knecht-2011-CBCM-Image 1.jpg", "type": "image/jpeg", "size": 561780, "path": "Publication:knecht-2011-CBCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 736, 237, 190, 193 ], "booktitle": "Proceedings of the 2011 IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2011)", "date_from": "2011-10-26", "date_to": "2011-10-29", "isbn": "978-1-4577-2183-0 ", "location": "Basel, Switzerland", "note": "E-ISBN: 978-1-4577-2184-7", "pages_from": "165", "pages_to": "168", "publisher": "IEEE/IET Electronic Library (IEL), IEEE-Wiley eBooks Library, VDE VERLAG Conference Proceedings", "research_areas": [ "Rendering" ], "keywords": [ "Color Matching", "Differential Rendering", "Mixed Reality", "Tone Mapping" ], "weblinks": [], "files": { "0": { "description": "Shows color adaption of virtual book and colorchart on the left", "filetitle": "Image 1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 767, "name": "knecht-2011-CBCM-Image 1.jpg", "type": "image/jpeg", "size": 561780, "path": "Publication:knecht-2011-CBCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1:thumb{{size}}.png" }, "1": { "description": "Shows color adaption of virtual book and colorchart on the left", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 767, "name": "knecht-2011-CBCM-Image.jpg", "type": "image/jpeg", "size": 301091, "path": "Publication:knecht-2011-CBCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image:thumb{{size}}.png" }, "2": { "description": "Conference Paper", "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knecht-2011-CBCM-Preprint.pdf", "type": "application/pdf", "size": 25284280, "path": "Publication:knecht-2011-CBCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Preprint:thumb{{size}}.png" }, "4": { "description": "Video results", "filetitle": "Video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "knecht-2011-CBCM-Video.avi", "type": "video/x-msvideo", "size": 36674560, "path": "Publication:knecht-2011-CBCM", "preview_name": "knecht-2011-CBCM-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 5344, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Video:video.mp4" } }, "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/", "__class": "Publication" }, { "id": "KUE11", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "BRDF approximation and estimation for Augmented Reality", "date": "2011-10", "abstract": "In Augmented Reality applications it is important to have a good description of the surfaces of real objects if a consistent shading between real and virtual object is required. If such a description of a surface is not vailable it has to be estimated or approximated. In our paper we will present certain methods that deal\nwith real-time bi-directional reflectance distribution function\n(BRDF) approximation in augmented reality. Of course an important thing to discuss is whether the applications we present all work in real-time and compute good (and real)looking results.\nThere are different methods on how to achieve this goal. All of the methods we are going to present work via image based lighting and some require a 3D polygonal mesh representation\nof the object whose BRDF shall be approximated. Some methods estimate the BRDF parameters via error values and\nprovide results at each iteration.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 841, 736, 237 ], "booktitle": "15th International Conference on System Theory, Control and Computing", "date_from": "2011-10-14", "date_to": "2011-10-16", "lecturer": [ 841 ], "location": "Sinaia, Romania", "organization": "\"Gheorghe Asachi\" Technical University of Iasi, Faculty of Automatic Control and Computer Engineering", "pages_from": "318", "pages_to": "324", "research_areas": [ "Rendering" ], "keywords": [ "Mixed Reality", "BRDF Estimation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "KUE11-Paper.pdf", "type": "application/pdf", "size": 411981, "path": "Publication:KUE11", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/KUE11-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/KUE11-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/", "__class": "Publication" }, { "id": "laager_florian-2013-camr", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Camera Artifacts in Mixed Reality", "date": "2013", "abstract": "Simulating camera artifacts for better immersion of virtual objects in a real environment", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1487, "image_height": 538, "name": "laager_florian-2013-camr-Image.jpg", "type": "image/jpeg", "size": 395940, "path": "Publication:laager_florian-2013-camr", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1010 ], "date_start": "2011-10-01", "matrikelnr": "0525859", "supervisor": [ 736 ], "research_areas": [], "keywords": [ "Mixed Reality", "Camera Artifacts" ], "weblinks": [], "files": [ { "description": "Teaser", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1487, "image_height": 538, "name": "laager_florian-2013-camr-Image.jpg", "type": "image/jpeg", "size": 395940, "path": "Publication:laager_florian-2013-camr", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image:thumb{{size}}.png" }, { "description": "Report", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "laager_florian-2013-camr-report.pdf", "type": "application/pdf", "size": 203438, "path": "Publication:laager_florian-2013-camr", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-report:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/", "__class": "Publication" }, { "id": "rasch_martina-2013-HDRImage", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "HDR Image Acquisition for Augmented Reality", "date": "2013-09", "abstract": "In this thesis I present a method for calculating high dynamic range images in a mixed reality\r\nsystem. Cameras and monitors usually have a lower dynamic range than we encounter in the\r\nreal world, e.g. the sun. While pictures have a maximal contrast of 1:500, real world scenes often\r\nhave a contrast of 1:100 000. An image taken of a scene with a higher dynamic range than\r\nour camera can capture will have regions that are too bright or too dark. With a higher exposure\r\ntime more details will be visible in dark regions and with a lower exposure time more details\r\nwill be visible in bright regions. Since our camera cannot create an image preserving details in\r\nboth dark and bright regions we have to calculate one using the images our camera can actually\r\nproduce. The method described in this thesis is based on the work of Debevec and Malik. It\r\ntakes several images taken with different exposure times and combines them to a high dynamic\r\nrange image, leading to a better viewing experience in our RESHADE framework, a mixed reality\r\nframework, for which this method was implemented.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Teaser", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1144, "image_height": 367, "name": "rasch_martina-2013-HDRImage-image.jpg", "type": "image/jpeg", "size": 305955, "path": "Publication:rasch_martina-2013-HDRImage", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1014 ], "date_end": "2013-09-16", "date_start": "2012-03-01", "matrikelnr": "0925447", "supervisor": [ 193, 736 ], "research_areas": [], "keywords": [ "mixed reality", "high dynamic range image" ], "weblinks": [], "files": [ { "description": "Teaser", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1144, "image_height": 367, "name": "rasch_martina-2013-HDRImage-image.jpg", "type": "image/jpeg", "size": 305955, "path": "Publication:rasch_martina-2013-HDRImage", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image:thumb{{size}}.png" }, { "description": "Bachelor Thesis", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rasch_martina-2013-HDRImage-paper.pdf", "type": "application/pdf", "size": 11543608, "path": "Publication:rasch_martina-2013-HDRImage", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/", "__class": "Publication" }, { "id": "spelitz_stefan-2012-CDTFMR", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Color Distribution Transfer For Mixed-Reality Applications", "date": "2012-10", "abstract": "In mixed-reality environments it is essential to integrate virtual objects seamlessly into a real scene. Virtual objects should have similar appearances to those of real objects captured by a video camera. This is useful for many real-life application scenarios, including product advertising and visualization, edutainment systems or for enhancing cultural heritage sites.\r\n\r\nTypical problems in this domain are to match the current ‘color mood’ of the video camera scene with the colors of virtual (rendered) objects. The color mood depends on the global illumination conditions as well as the hue, saturation or white balance settings of the camera.\r\n\r\nThe aim of this paper is to integrate existing methods of histogram transfers used in the domain of computational photography into mixed-reality environments. These methods allow us to simulate current luminance conditions in the scene and changes in the camera driver settings to apply them onto virtual objects.\r\n\r\nThis thesis contains two fast-running approaches to provide a color mapping between virtual objects and the real scene, which can be used in real-time applications. The results show that these methods increase the immersion of virtual objects in a real scene.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1039, "image_height": 748, "name": "spelitz_stefan-2012-CDTFMR-image.jpg", "type": "image/jpeg", "size": 665376, "path": "Publication:spelitz_stefan-2012-CDTFMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1015 ], "date_end": "2012-10-10", "date_start": "2012-03-01", "matrikelnr": "0925601", "supervisor": [ 193, 736 ], "research_areas": [], "keywords": [ "Augmented Reality", "Color Transfer" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1039, "image_height": 748, "name": "spelitz_stefan-2012-CDTFMR-image.jpg", "type": "image/jpeg", "size": 665376, "path": "Publication:spelitz_stefan-2012-CDTFMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "spelitz_stefan-2012-CDTFMR-thesis.pdf", "type": "application/pdf", "size": 5816767, "path": "Publication:spelitz_stefan-2012-CDTFMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/", "__class": "Publication" }, { "id": "stutter_david-2012-kft", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Kinect Fusion - Tracking", "date": "2012", "abstract": "Kinect Fusion - tracking part\r\nDavid Stutter did not finish this project.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1012 ], "date_end": "2012-05-27", "date_start": "2011-10-01", "matrikelnr": "0826757", "supervisor": [ 736 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "RESHADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/stutter_david-2012-kft/", "__class": "Publication" }, { "id": "winklhofer_christoph-2013-RRMR", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Reflections, Refractions and Caustics in a Mixed-Reality Environment", "date": "2013", "abstract": "In a mixed-reality environment virtual objects are merged into a real scene. Such an augmentation with virtual objects offers great possibilities to present content in new and innovative ways. The visual appearance of these virtual objects depends on a plausible lighting simulation. Otherwise, virtual objects look artificial and out of place, which destroys the overall impression of the perceived scene.\r\n\r\nReflective and refractive objects are an inherent part of our physical environment. Accordingly, virtual objects of this type also enhance the overall impression and scope of a mixed-reality application. Many mixed-reality systems still neglect them: Such objects require a complex light simulation that is hard to embed in a mixed-reality system, which demands real-time frame rates to handle the user interaction.\r\n\r\nThis thesis describes the integration of reflective and refractive objects in a mixed-reality environment. The aim is to create a realistic light distribution that simulates reflections and refractions between real and virtual objects. Another important aspect for a believable perception are caustics, light focusing due to the scattering from reflective or refractive objects. Until recently, this effect was simply excluded in the lighting simulation of mixed-reality systems.\r\n\r\nThe proposed rendering method extends differential instant radiosity with three other image space rendering techniques capable to handle reflections, refractions and caustics in real time. By combining these techniques, our method successfully simulates the various lighting effects from reflective and refractive objects and is able to handle user interactions at interactive to realtime frame rates. This offers a practicable possibility to greatly improve the visual quality of a\r\nmixed-reality environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Screenshot", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 600, "name": "winklhofer_christoph-2013-RRMR-image.jpg", "type": "image/jpeg", "size": 265091, "path": "Publication:winklhofer_christoph-2013-RRMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1011 ], "date_end": "2013-01-28", "date_start": "2011-10-01", "matrikelnr": "0426461", "supervisor": [ 193, 736 ], "research_areas": [], "keywords": [ "Caustics", "Reflections", "Mixed Reality", "Refractions" ], "weblinks": [], "files": [ { "description": "Screenshot", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1000, "image_height": 600, "name": "winklhofer_christoph-2013-RRMR-image.jpg", "type": "image/jpeg", "size": 265091, "path": "Publication:winklhofer_christoph-2013-RRMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image:thumb{{size}}.png" }, { "description": "Poster of Master Thesis", "filetitle": "Poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "winklhofer_christoph-2013-RRMR-Poster.pdf", "type": 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"sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Desiree", "workgroup_id": "rend", "drupal_id": 4232, "drupal_path": "/research/projects/Desiree", "name": "Detailed Surfaces for Interactive Rendering", "name_de": null, "short_title": "Desiree", "website": null, "status": "active", "short_abstract": "In this project we study new representation and rendering methods for surface detail in real time.", "abstract": "Humans perceive their surroundings by the light that is reflected from surfaces. In particular, it is the fine detail observed on surfaces that provides clues about material properties like roughness, texture, temperature, etc. Similarly, in interactive computer graphics applications, the complexity of surface renderings is one of the first things that occur to an observer when judging how good or realistic the application looks. One key issue is to provide the same amount of visual detail as a real surface. This plays an important role in a number of interactive applications where the viewpoint and illumination change rapidly, including visual impact analysis, cultural heritage, design reviews, architecture and urban planning, driving and traffic simulation, engineering and computer games to name but a few. The aim of the Desiree project is to develop algorithms and data structures to efficiently acquire, store and display geometrically complex surfaces for such real-time applications.\nAdding surface detail has been a research topic since the early days of computer graphics, including texture mapping, displacement mapping and slice-based representations. However, none of these approaches can directly be used for the aforementioned applications due to insufficient image quality, non-interactivity or too high memory requirements. In addition, no tools are available to convert the complex models created by 3D artists into representations useful for fast and high-quality display.\nIn Desiree, the main strategy will be to treat the rough object shape and the fine-scale details separately. We will research efficient data structures and algorithms that consider all aspects of this strategy, starting from the decomposition of a complex mesh into low- and high-detail components, efficient representations for the high-detail components, different mappings from the high-detail to the low-detail representation, and high-quality rendering in real time, including anti-aliasing issues and realistic illumination. For rendering, we will exploit recent programmable graphics hardware to develop output-sensitive display algorithms based on ray casting. We believe that this concept will allow us to achieve both, high image quality and real-time frame rates at the same time.\n", "start_date": "2008-07-01", "end_date": "2012-12-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "rasoulzadeh-2024-strokes2surface", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "santos-2017-dacge", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer2011c", "scherzer2011d", "SCHUETZ-2015-HQP", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "SSMW09", "stappen_SteFAS", "steiner_2016_isad", "STEINLECHNER-2019-APS", "STURN-2013-LGI", "STURN-2013-LSI", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-12-01", "ulschmid-2024-reo", "ulschmid-2025-apc", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "wallner-2015-ModelingRoutinization", "WEBER-2015-PRA", "Wimmer-1996-ITB", "Wimmer-1997-ITT", "Wimmer-1998-Fas", "Wimmer-1998-SMO", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-CCL", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "Wimmer-2006", "WIMMER-2006-CES", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", 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two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. 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Together with an analytic filter convolution, it allows for a fully analytic solution to anti-aliased 3D mesh rendering on parallel hardware. Building on recent works in computational geometry, we present a new edge-triangle intersection algorithm and a novel method to complete the boundaries of all visible triangle regions after a hidden line elimination step. All stages of the method are embarrassingly parallel and easily implementable on parallel hardware. A GPU implementation is discussed and performance characteristics of the method are shown and compared to traditional sampling-based rendering methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Auzinger_2013_AnaVis-.png", "type": "image/png", "size": 1120517, "path": "Publication:Auzinger_2013_AnaVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808, 193, 356 ], "date_from": "2013-05-06", "date_to": "2013-05-10", "event": "Eurographics 2013", "issn": "1467-8659", "journal": "Computer Graphics Forum (Proceeding of EUROGRAPHICS 2013)", "lecturer": [ 808 ], "location": "Girona", "number": "2", "pages_from": "409", "pages_to": "418", "volume": "32", "research_areas": [ "Rendering" ], "keywords": [ "GPU", "anti-aliasing", "SIMD", "filter", "rendering", "analytic", "visibility", "close-form", "hidden surface elimination", "hidden surface removal", "GPGPU" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12061/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Auzinger_2013_AnaVis-.png", "type": "image/png", "size": 1120517, "path": "Publication:Auzinger_2013_AnaVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-:thumb{{size}}.png" }, { "description": "Fast forward video (Techsmith Screen Capture Codec)(56MB).", "filetitle": "Fast forward", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Auzinger_2013_AnaVis-Fast forward.avi", "type": "video/x-msvideo", "size": 58349056, "path": "Publication:Auzinger_2013_AnaVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Fast forward.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Fast forward:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Fast forward:video.mp4" }, { "description": "The 3D scene is projected onto the image plane (1) and visibility is resolved in this 2.5D space (2). A new edge-triangle intersection algorithm (3) enables us to extend hidden line elimination (4) to full hidden surface elimination by the use of a novel boundary completion method (5).", "filetitle": "Overview of the algorithm", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1155, "image_height": 255, "name": "Auzinger_2013_AnaVis-Overview of the algorithm.png", "type": "image/png", "size": 48784, "path": "Publication:Auzinger_2013_AnaVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Overview of the algorithm.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Overview of the algorithm:thumb{{size}}.png" }, { "description": "Full paper preprint.", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 181, "preview_image_height": 256, "name": "Auzinger_2013_AnaVis-Paper.pdf", "type": "application/pdf", "size": 4798866, "path": "Publication:Auzinger_2013_AnaVis", "preview_name": "Auzinger_2013_AnaVis-Paper:preview.png", "preview_type": "image/png", "preview_size": 34424, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Paper:thumb{{size}}.png" }, { "description": "Annotated presentation slides without the videos (2 MB).", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 80, "preview_image_height": 60, "name": "Auzinger_2013_AnaVis-Slides.pptx", "type": "application/zip", "size": 2057493, "path": "Publication:Auzinger_2013_AnaVis", "preview_name": "Auzinger_2013_AnaVis-Slides:preview.png", "preview_type": "image/png", "preview_size": 5757, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Slides.pptx", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Slides:thumb{{size}}.png" }, { "description": "Analytic rendering of pyramidal spikes. This serves as a stress test of the analytic visibility algorithm and even for high depth complexity and small geometric details the scene visibility is robustly and correctly resolved.", "filetitle": "Spikes model", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Auzinger_2013_AnaVis-Spikes model.png", "type": "image/png", "size": 254428, "path": "Publication:Auzinger_2013_AnaVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Spikes model.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Spikes model:thumb{{size}}.png" }, { "description": "Analytic rendering of two overlapping zone plates. Visibility of small geometric details is correctly resolved and excellent anti-aliasing up to numeric precision achieved.", "filetitle": "Zoneplates model", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 1024, "name": "Auzinger_2013_AnaVis-Zoneplates model.png", "type": "image/png", "size": 1120517, "path": "Publication:Auzinger_2013_AnaVis", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Zoneplates model.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Zoneplates model:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/", "__class": "Publication" }, { "id": "auzinger-thesis", "type_id": "runphdthesis", "tu_id": null, "repositum_id": null, "title": "(not known)", "date": null, "abstract": null, "authors_et_al": false, "substitute": "auzinger-dissertation", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_end": "2011", "date_start": "2009-09", "supervisor": [ 356 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/auzinger-thesis/", "__class": "Publication" }, { "id": "bhagvat-09-frusta", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "GPU Rendering of Relief Mapped Conical Frusta", "date": "2009", "abstract": "This paper proposes to use relief-mapped conical frusta (cones cut by planes) to skin skeletal objects. Based on this representation, current programmable graphics hardware can perform the rendering with only minimal communication between the CPU and GPU. A consistent definition of conical frusta including texture parametrization and a continuous surface normal is provided. Rendering is performed by analytical ray casting of the relief-mapped frusta directly on the GPU. We demonstrate both static and animated objects rendered using our technique and compare to polygonal renderings of similar quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Example for an object modelled and rendered from conical frustra.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 928, "image_height": 575, "name": "bhagvat-09-frusta-image.jpg", "type": "image/jpeg", "size": 315778, "path": "Publication:bhagvat-09-frusta", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 810, 356, 809, 194 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "28", "pages_from": "2131", "pages_to": "2139", "volume": "8", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": "Example for an object modelled and rendered from conical frustra.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 928, "image_height": 575, "name": "bhagvat-09-frusta-image.jpg", "type": "image/jpeg", "size": 315778, "path": "Publication:bhagvat-09-frusta", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bhagvat-09-frusta-paper.pdf", "type": "application/pdf", "size": 4463463, "path": "Publication:bhagvat-09-frusta", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/", "__class": "Publication" }, { "id": "jeschke-09-rendering", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Rendering Surface Details with Diffusion Curves", "date": "2009-12", "abstract": "Diffusion curve images (DCI) provide a powerful tool for efficient 2D image generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image, the final result includes sharp boundaries along\nthe curves with smoothly shaded regions between them. This paper extends the application of diffusion curves to render high quality surface details on 3D objects. The first extension is a view dependent warping technique that dynamically reallocates texture space\nso that object parts that appear large on screen get more texture for increased detail. The second extension is a dynamic feature embedding technique that retains crisp, anti-aliased curve details even in\nextreme closeups. The third extension is the application of dynamic feature embedding to displacement mapping and geometry images. Our results show high quality renderings of diffusion curve textures, displacements, and geometry images, all rendered interactively.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Example for diffusion curves rendered on objects.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1560, "image_height": 1115, "name": "jeschke-09-rendering-image.jpg", "type": "image/jpeg", "size": 521894, "path": "Publication:jeschke-09-rendering", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 809, 194 ], "booktitle": "Transactions on Graphics (Siggraph Asia 2009)", "date_from": "2009-12-16", "date_to": "2009-12-19", "event": "Siggraph Asia", "issn": "0730-0301", "journal": "Transaction on Graphics (Siggraph Asia 2009)", "lecturer": [ 356 ], "location": "Yokohama", "number": "5", "organization": "ACM", "pages_from": "1", "pages_to": "8", "publisher": "ACM Press", "volume": "28", "research_areas": [ "Rendering" ], "keywords": [ "Geometry images", "Displacement mapping", "Diffusion curves", "Line and Curve rendering " ], "weblinks": [], "files": [ { "description": "Example for diffusion curves rendered on objects.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1560, "image_height": 1115, "name": "jeschke-09-rendering-image.jpg", "type": "image/jpeg", "size": 521894, "path": "Publication:jeschke-09-rendering", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-09-rendering-paper.pdf", "type": "application/pdf", "size": 13603624, "path": "Publication:jeschke-09-rendering", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-paper:thumb{{size}}.png" }, { "description": "additional results", "filetitle": "results", "main_file": false, "use_in_gallery": false, "access": "public", "name": "jeschke-09-rendering-results.pdf", "type": "application/pdf", "size": 8215961, "path": "Publication:jeschke-09-rendering", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-results.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-results:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "jeschke-09-rendering-video.avi", "type": "video/x-msvideo", "size": 58348238, "path": "Publication:jeschke-09-rendering", "preview_name": "jeschke-09-rendering-video:preview.png", "preview_type": "image/jpeg", "preview_size": 5344, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-video:video.mp4" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/", "__class": "Publication" }, { "id": "jeschke-09-solver", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "A GPU Laplacian Solver for Diffusion Curves and Poisson Image Editing", "date": "2009-12", "abstract": "We present a new Laplacian solver for minimal surfaces—surfaces having a mean curvature of zero everywhere except at some fixed (Dirichlet) boundary conditions. Our solution has two main contributions: First, we provide a robust rasterization technique to transform continuous boundary values (diffusion curves) to a discrete domain. Second, we define a variable stencil size diffusion solver that solves the minimal surface problem. We prove that the solver converges to the right solution, and demonstrate that it is at least as fast as commonly proposed multigrid solvers, but much simpler to implement. It also works for arbitrary image resolutions, as well\r\nas 8 bit data. We show examples of robust diffusion curve rendering\r\nwhere our curve rasterization and diffusion solver eliminate the strobing artifacts present in previous methods. We also show results for real-time seamless cloning and stitching of large image panoramas.", "authors_et_al": false, "substitute": null, "main_image": { "description": "examples for animated diffusion curves", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2100, "image_height": 1134, "name": "jeschke-09-solver-image.jpg", "type": "image/jpeg", "size": 592105, "path": "Publication:jeschke-09-solver", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 809, 194 ], "booktitle": "Transactions on Graphics (Siggraph Asia 2009)", "date_from": "2009-12-16", "date_to": "2009-12-19", "event": "Siggraph Asia", "issn": "0730-0301", "journal": "Transaction on Graphics (Siggraph Asia 2009)", "lecturer": [ 356 ], "location": "Yokohama, Japan", "number": "5", "organization": "ACM", "pages_from": "1", "pages_to": "8", "publisher": "ACM Press", "volume": "28", "research_areas": [], "keywords": [ "Poisson equation", "Line and Curve rendering ", "Diffusion" ], "weblinks": [], "files": [ { "description": "examples for animated diffusion curves", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2100, "image_height": 1134, "name": "jeschke-09-solver-image.jpg", "type": "image/jpeg", "size": 592105, "path": "Publication:jeschke-09-solver", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-09-solver-paper.pdf", "type": "application/pdf", "size": 10122841, "path": "Publication:jeschke-09-solver", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-paper:thumb{{size}}.png" }, { "description": "binary and source of the DCI viewer", "filetitle": "software", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-09-solver-software.zip", "type": "application/zip", "size": 680386, "path": "Publication:jeschke-09-solver", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-software.zip", "thumb_image_sizes": [] }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "jeschke-09-solver-video.avi", "type": "video/x-msvideo", "size": 14195512, "path": "Publication:jeschke-09-solver", "preview_name": "jeschke-09-solver-video:preview.png", "preview_type": "image/jpeg", "preview_size": 24665, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-video:video.mp4" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/", "__class": "Publication" }, { "id": "jeschke-2010-diff", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Rendering Diffusion Curves in 2 and 3 Dimensions", "date": "2010", "abstract": "Diffusion curve images (DCI) provide a powerful tool for efficient 2D image generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image, the final result includes sharp boundaries along the curves with smoothly shaded regions between them.\nThe first part of the talk presents a new Laplacian surface solver for a stable rendering of DCIs. It consists of a robust rasterization technique to transform the algebraic curves to the discrete image domain, and a variable stencil size diffusion solver that solves the minimal surface problem. The solver is proven to converge to the right solution, it is at least as fast as commonly used multigrid solvers, but \nmuch simpler to implement, works for arbitrary image resolutions, as well as 8 bit data.\nThe second part of the talk extends the application of diffusion curves to render high quality surface details on 3D objects. The first extension is a view dependent warping technique that dynamically allocates more texture memory for details close to the observer. The second extension is a dynamic feature embedding technique that retains crisp, anti-aliased curve details even in extreme closeups. The third extension is the application of dynamic feature embedding to displacement mapping and geometry images. Our results show high quality \nrenderings at interactive frame rates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1585, "image_height": 1124, "name": "jeschke-2010-diff-image.bmp", "type": "image/x-ms-bmp", "size": 5345800, "path": "Publication:jeschke-2010-diff", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356 ], "date_from": "2010-10-07", "date_to": "2010-10-08", "event": "Visit of MPII in Saarbruecken", "location": "MPII Saarbruecken", "research_areas": [ "Rendering" ], "keywords": [ "Diffusion curves" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1585, "image_height": 1124, "name": "jeschke-2010-diff-image.bmp", "type": "image/x-ms-bmp", "size": 5345800, "path": "Publication:jeschke-2010-diff", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/", "__class": "Publication" }, { "id": "jeschke-2011-est", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Estimating Color and Texture Parameters for Vector Graphics", "date": "2011-04", "abstract": "Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions\nas well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We\nstart by defining a geometric heuristic for the maximum density of color control points along the image curves.\nFollowing this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching\napplications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1609, "image_height": 651, "name": "jeschke-2011-est-image.jpg", "type": "image/jpeg", "size": 335306, "path": "Publication:jeschke-2011-est", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 809, 194 ], "date_from": "2011-04-11", "date_to": "2011-04-15", "event": "Eurographics 2011", "issn": "0167-7055", "journal": "Computer Graphics Forum", "lecturer": [ 356 ], "location": "Llandudno (Wales, UK)", "note": "This paper won the 2nd best paper award at Eurographics 2011.", "number": "2", "pages_from": "523", "pages_to": "532", "volume": "30", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": "Additional Images", "filetitle": "AddImages", "main_file": false, "use_in_gallery": false, "access": "public", "name": "jeschke-2011-est-AddImages.pdf", "type": "application/pdf", "size": 56030462, "path": "Publication:jeschke-2011-est", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-AddImages.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-AddImages:thumb{{size}}.png" }, { "description": "Fast Forward Video (40 sec)", "filetitle": "FF Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 600, "preview_image_height": 600, "name": "jeschke-2011-est-FF Video.avi", "type": "video/x-msvideo", "size": 14726626, "path": "Publication:jeschke-2011-est", "preview_name": "jeschke-2011-est-FF Video:preview.png", "preview_type": "image/jpeg", "preview_size": 6320, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-FF Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-FF Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-FF Video:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1609, "image_height": 651, "name": "jeschke-2011-est-image.jpg", "type": "image/jpeg", "size": 335306, "path": "Publication:jeschke-2011-est", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-2011-est-paper.pdf", "type": "application/pdf", "size": 17986852, "path": "Publication:jeschke-2011-est", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-paper:thumb{{size}}.png" }, { "description": "Video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 600, "preview_image_height": 600, "name": "jeschke-2011-est-Video.avi", "type": "video/x-msvideo", "size": 42400848, "path": "Publication:jeschke-2011-est", "preview_name": "jeschke-2011-est-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 21887, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-Video:video.mp4" }, { "description": "Binary of the Textured Diffusion Curves Viewer and Editor (about 4MB)", "filetitle": "ViewerBinary", "main_file": false, "use_in_gallery": false, "access": "public", "name": "jeschke-2011-est-ViewerBinary.zip", "type": "application/zip", "size": 4076615, "path": "Publication:jeschke-2011-est", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-ViewerBinary.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/", "__class": "Publication" }, { "id": "jeschke-2011-esttalk", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Estimating Color and Texture Parameters for Vector Graphics", "date": "2011", "abstract": "Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions as well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We start by defining a geometric heuristic for the maximum density of color control points along the image curves. Following this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "descriptive image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1609, "image_height": 651, "name": "jeschke-2011-esttalk-image.jpg", "type": "image/jpeg", "size": 410716, "path": "Publication:jeschke-2011-esttalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356 ], "date_from": "2011-04-20", "date_to": "2011-02-25", "event": "Kolloquium of the Institute for Computer Graphics at University of Rostock", "location": "Rostock, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "descriptive image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1609, "image_height": 651, "name": "jeschke-2011-esttalk-image.jpg", "type": "image/jpeg", "size": 410716, "path": "Publication:jeschke-2011-esttalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image:thumb{{size}}.png" }, { "description": "power point slides for this talk", "filetitle": "ppt", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-2011-esttalk-ppt.ppt", "type": "", "size": 23329792, "path": "Publication:jeschke-2011-esttalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-ppt.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/", "__class": "Publication" }, { "id": "jeschke-2011-talkPrague", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Estimating Color and Texture Parameters for Vector Graphics", "date": "2011", "abstract": "Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions as well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We\r\nstart by defining a geometric heuristic for the maximum density of color control points along the image curves.\r\nFollowing this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1609, "image_height": 651, "name": "jeschke-2011-talkPrague-.jpg", "type": "image/jpeg", "size": 410716, "path": "Publication:jeschke-2011-talkPrague", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356 ], "date_from": "2011-06-30", "date_to": "2011-06-30", "event": "Academy of Sciences of the Czech Republic in Prague", "location": "Prague (Czech Republic)", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1609, "image_height": 651, "name": "jeschke-2011-talkPrague-.jpg", "type": "image/jpeg", "size": 410716, "path": "Publication:jeschke-2011-talkPrague", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/", "__class": "Publication" }, { "id": "MeierStauffer-2013-iihf", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Realistic Local Lighting in Dynamic Height Fields", "date": "2013-05", "abstract": "This thesis presents a method to compute soft shadows from environment maps and local light sources on dynamic height fields, extending the work of Snyder et al. [29]. While direct illumination in static scenes is very common in video games and 3D applications, real-time global illumination methods supporting dynamic scenes and lights are still an active field of research.\r\n\r\nIn this work, a short general introduction to global illumination and spherical harmonics is presented as well as an overview of the state of the art methods in interactive global illumination for height fields.\r\n\r\nIn our method, visibility at each receiver point of a height field is determined by the visible horizon, which can be approximated efficiently using a multi-resolution sampling approach. Local light sources are represented by spherical lights and the incident radiance at receiver points is projected into the spherical harmonic basis. Hence, this method produces convincing shadows on dynamic height fields more efficiently than global illumination methods for general geometry.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1002, "image_height": 926, "name": "MeierStauffer-2013-iihf-image2.png", "type": "image/png", "size": 575122, "path": "Publication:MeierStauffer-2013-iihf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 776 ], "date_start": "2009-02-18", "matrikelnr": "9927153", "supervisor": [ 627, 193 ], "research_areas": [], "keywords": [ "Spherical Harmonics", "Height Fields", "Indirect Illumination" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2004, "image_height": 1852, "name": "MeierStauffer-2013-iihf-image1.jpg", "type": "image/jpeg", "size": 1148417, "path": "Publication:MeierStauffer-2013-iihf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image1:thumb{{size}}.png" }, { "description": "", "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1002, "image_height": 926, "name": "MeierStauffer-2013-iihf-image2.png", "type": "image/png", "size": 575122, "path": "Publication:MeierStauffer-2013-iihf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MeierStauffer-2013-iihf-poster.pdf", "type": "application/pdf", "size": 14797615, "path": "Publication:MeierStauffer-2013-iihf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MeierStauffer-2013-iihf-thesis.pdf", "type": "application/pdf", "size": 36380158, "path": "Publication:MeierStauffer-2013-iihf", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/", "__class": "Publication" }, { "id": "Nuernberg-2011-CBO", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Cell-Based Object Representation", "date": "2011-06", "abstract": "Today's real-time applications, such as computer games or virtual environments,\r\nneed to display more and more geometrically complex surfaces. The appearance\r\nof such surfaces are achieved by local parallax, correct occlusions, convincing\r\nsilhouettes and even by sophisticated effects such as self-reflection, refraction,\r\ntranslucency, self-shadowing and caustics to name a few. Hence simple texturing\r\nmapping is insufficient to produce such high geometric complexity.\r\nThis thesis proposes a cell-based approach to model and render repetitive fine\r\nscaled details with a high visual quality. The main idea of the precomputation is\r\nto decompose the object into a low frequent geometry (the general shape of the\r\nobject) and high frequent surface details. The high frequent surface details are\r\nrepresented by so-called cells tiled all over the object space. The precomputed\r\ncell-based object representation is displayed by a ray tracer providing correct\r\nparallax, occlusions and silhouettes. This thesis proves that sophisticated effects\r\nsuch as specular self-reflection and refraction can easily be rendered with the\r\ncell-based approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1151, "image_height": 437, "name": "Nuernberg-2011-CBO-image.jpg", "type": "image/jpeg", "size": 184179, "path": "Publication:Nuernberg-2011-CBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 777 ], "date_start": "2009-02-18", "matrikelnr": "0425202", "supervisor": [ 193, 356 ], "research_areas": [], "keywords": [ "Cell-based texturing, Interactive ray ca" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1151, "image_height": 437, "name": "Nuernberg-2011-CBO-image.jpg", "type": "image/jpeg", "size": 184179, "path": "Publication:Nuernberg-2011-CBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Nuernberg-2011-CBO-Poster.pdf", "type": "application/pdf", "size": 21079138, "path": "Publication:Nuernberg-2011-CBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Nuernberg-2011-CBO-thesis.pdf", "type": "application/pdf", "size": 47552249, "path": "Publication:Nuernberg-2011-CBO", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/", "__class": "Publication" }, { "id": "preiner_2012_AS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Auto Splats: Dynamic Point Cloud Visualization on the GPU", "date": "2012-05", "abstract": "Capturing real-world objects with laser-scanning technology has become an everyday task. Recently, the acquisition of dynamic scenes at interactive frame rates has become feasible. A high-quality visualization of the resulting point cloud stream would require a per-frame reconstruction of object surfaces. Unfortunately, reconstruction computations are still too time-consuming to be applied interactively. In this paper we present a local surface reconstruction and visualization technique that provides interactive feedback for reasonably sized point clouds, while achieving high image quality. Our method is performed entirely on the GPU and in screen pace, exploiting the efficiency of the common rasterization pipeline. The approach is very general, as no assumption is made about point connectivity or sampling density. This naturally allows combining the outputs of multiple scanners in a single visualization, which is useful for many virtual and augmented reality applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 982, "image_height": 832, "name": "preiner_2012_AS-image.png", "type": "image/png", "size": 1318166, "path": "Publication:preiner_2012_AS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799, 356, 193 ], "booktitle": "Proceedings of Eurographics Symposium on Parallel Graphics and Visualization", "date_from": "2012-05-13", "date_to": "2012-05-14", "editor": "H. Childs and T. Kuhlen", "isbn": " 978-3-905674-35-4", "lecturer": [ 799 ], "location": "Cagliari", "organization": "Eurographics Association 2012", "pages_from": "139", "pages_to": "148", "research_areas": [ "Geometry" ], "keywords": [ "point clouds", "surface reconstruction", "point rendering", "Auto Splats", "KNN search", "GPU rendering", "point based rendering" ], "weblinks": [], "files": { "0": { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner_2012_AS-draft.pdf", "type": "application/pdf", "size": 14963547, "path": "Publication:preiner_2012_AS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-draft:thumb{{size}}.png" }, "1": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 982, "image_height": 832, "name": "preiner_2012_AS-image.png", "type": "image/png", "size": 1318166, "path": "Publication:preiner_2012_AS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "preiner_2012_AS-video.wmv", "type": "text/plain", "size": 48670503, "path": "Publication:preiner_2012_AS", "preview_name": "preiner_2012_AS-video:preview.png", "preview_type": "image/jpeg", "preview_size": 5344, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-video:thumb{{size}}.png" } }, "projects_workgroups": [ "TERAPOINTS", "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/", "__class": "Publication" }, { "id": "prieler_11_patchmatch", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Patchmatch for Texture Synthesis", "date": "2011", "abstract": "The goal of this course was to implement a texture synthesis algorithm and analyze its performance and visual quality. Two papers form the theoretical foundation of this project: “Texture Optimization for Example-based Synthesis” by Kwatra et al [KEBK05] and “Patchmatch: A randomized Correspondence Algorithm for\r\nStructural Image Editing” by Barnes et al [BSFG09].", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 944 ], "matrikelnr": "0726319", "supervisor": [ 356 ], "research_areas": [], "keywords": [ "Texture synthesis" ], "weblinks": [], "files": [ { "description": "written report about the project", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "prieler_11_patchmatch-report.pdf", "type": "application/pdf", "size": 8338935, "path": "Publication:prieler_11_patchmatch", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/prieler_11_patchmatch/prieler_11_patchmatch-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/prieler_11_patchmatch/prieler_11_patchmatch-report:thumb{{size}}.png" } ], "projects_workgroups": [ "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/prieler_11_patchmatch/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/Desiree", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", 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"brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", 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"zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Scale-VS", "workgroup_id": "vis", "drupal_id": 4234, "drupal_path": "/research/projects/Scale-VS", "name": "Scale-VS: Research on the Scalability and Confluence of Scientific Visualization and Interactive Segmentation", "name_de": null, "short_title": "Scale-VS", "website": null, "status": "active", "short_abstract": "Research on the Scalability and Confluence of Scientific Visualization and Interactive Segmentation (together with Markus Hadwiger, VRVis (main applicant))
\r\n", "abstract": "Research on the Scalability and Confluence of Scientific Visualization and Interactive Segmentation (together with Markus Hadwiger, VRVis (main applicant))
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"https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", 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"brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", 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"glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", 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"Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "TERAPOINTS", "workgroup_id": "rend", "drupal_id": 4236, "drupal_path": "/research/projects/TERAPOINTS", "name": "TERAPOINTS - High Quality Visualization and Interaction with Gigantic Point Data Sets", "name_de": null, "short_title": "TERAPOINTS", "website": null, "status": "active", "short_abstract": "Laser scanning is an important tool in cultural heritage for documenting the state of archaeological monuments. The data produced by laser scanning is ever increasing, with the latest generation of laser scanners generating a billion of points in one measurement pass. To colorize the laser scans, additional photographs are taken. Managing these huge amounts of data in terms of size is a challenge on its own, but also to ensure the quality of the resulting point-based models is of utmost importance for the further development of laser scanning as a standard technique in cultural heritage. We identified three topics that can drive forward the integration of laser scanning in the everyday work of archaeologists.", "abstract": "Project partners:\n\nLaser scanning is an important tool in cultural heritage for documenting the state of archaeological monuments. The data produced by laser scanning is ever increasing, with the latest generation of laser scanners generating a billion of points in one measurement pass. To colorize the laser scans, additional photographs are taken. Managing these huge amounts of data in terms of size is a challenge on its own, but also to ensure the quality of the resulting point-based models is of utmost importance for the further development of laser scanning as a standard technique in cultural heritage. We identified three topics that can drive forward the integration of laser scanning in the everyday work of archaeologists.\n\n
\nThe first topic is the recoloring of point clouds that are combined from several different scan positions. The photographs taken at the different scan positions all exhibit different colorizations of the objects in the scene, as the lighting conditions usually vary from scan position to scan position. We want to develop methods that can provide an artifact free colorized model, independent of the lighting conditions that prevailed during laser scanning. The second topic deals with the management of large point clouds. It incorporates compression of the point cloud data, where the data shall nevertheless remain editable, and the display of large data. Several compression techniques for different point attributes, lossless as well as lossy compression, and fitting points to higher order primitives will be used for compression depending on the further use of the data. To display the data, an eye-tracker can be used to increase the visual experience of the user. The third topic deals with the distribution of data over a network, and navigating through the data, so that users can get access to large point-based models of cultural heritage sites with intuitive navigation capabilities.\n
\nCultural Heritage is a growing market that needs intensive support from enabling technologies like real-time computer graphics and 3D object reconstruction. Especially the preservation and presentation of archaeological or historical items (architecture, artifacts) are of high importance there. Austria is well known in the tourism industry because of its cultural values. Preserving and presenting such cultural values not only physically but also in digital form, will help to distribute these values also using new media channels to the broad public.\nAny improvement of the technology that helps to preserve cultural items and allows presenting such items and scientific findings to a large audience will improve the value of these cultural items and in the same way boost the tourism industry.\n
\nEspecially in Austria there is a huge \"creative industries\" community, small and medium companies working on innovative presentations of cultural goods. Especially these companies will profit from the technology that will be developed in this project. One of these \"creative industries\" companies is Imagination, partner in this project and pioneer in cultural heritage presentations and preservation software.", "start_date": "2010-01-01", "end_date": "2012-12-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:TERAPOINTS", "type": "image/png", "size": 1100956, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/TERAPOINTS/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": "825842", "comment": "FIT-IT Visual Computing", "funding_organisation": { "id": "FFF", "drupal_id": 4141, "name": "FFG", "logo": { "name": "logo.png", "type": "image/png", "size": 2040, "orig_name": "logo.png", "path": "FundingOrganisation:FFF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/FFF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "ADAPT", "contract_number": null, "comment": null }, { "id": "AR-AQ-Bau", "contract_number": "867375", "comment": null }, { "id": "AutARG", "contract_number": "FIT-IT project no. 819352", "comment": null }, { "id": "BimFlexi", "contract_number": null, "comment": null }, { "id": "EvaluARte", "contract_number": null, "comment": null }, { "id": "GAMEWORLD", "contract_number": "813387", "comment": "FIT-IT Visual Computing" }, { "id": "Landspotting", "contract_number": "2008999", "comment": null }, { "id": "REPLICATE", "contract_number": "835948", "comment": "FIT-IT" }, { "id": "RESHADE", "contract_number": "820916", "comment": "FIT-IT Visual Computing" }, { "id": "Scanopy", "contract_number": "812126", "comment": null }, { "id": "SCI_BIM", "contract_number": "867314", "comment": "Stadt der Zukunft" }, { "id": "Sim-CT", "contract_number": "812136-SCK/KUG (Bridge project)", "comment": null }, { "id": "Smart-CT", "contract_number": "818108 (Bridge project)", "comment": null }, { "id": "Smile Analytics", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" }, { "id": "TERAPOINTS", "contract_number": "825842", "comment": "FIT-IT Visual Computing" }, { "id": "Wohnen 4.0", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", 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"zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "arikan-2013-osn", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "O-Snap: Optimization-Based Snapping for Modeling Architecture", "date": "2013-01", "abstract": "In this paper, we introduce a novel reconstruction and modeling pipeline to create polygonal models from unstructured point clouds. We propose an\nautomatic polygonal reconstruction that can then be interactively refined by the user. An initial model is automatically created by extracting a set of RANSAC-based locally fitted planar primitives along with their boundary polygons, and then searching for local adjacency relations among parts of the polygons. The extracted set of adjacency relations is enforced to snap polygon elements together, while simultaneously fitting to the input point cloud and ensuring the planarity of the polygons. This optimization-based snapping algorithm may also be interleaved with user interaction. This allows the user to sketch modifications with coarse and loose 2D strokes, as the exact alignment of the polygons is automatically performed by the snapping.\nThe generated models are coarse, offer simple editing possibilities by design and are suitable for interactive 3D applications like games, virtual\nenvironments etc. The main innovation in our approach lies in the tight\ncoupling between interactive input and automatic optimization, as well as in an algorithm that robustly discovers the set of adjacency relations.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2322, "image_height": 1381, "name": "arikan-2013-osn-image.png", "type": "image/png", "size": 2664881, "path": "Publication:arikan-2013-osn", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865, 678, 1033, 193, 228 ], "date_from": "2013-07-21", "date_to": "2013-07-25", "doi": "10.1145/2421636.2421642", "event": "ACM SIGGRAPH 2013", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 865 ], "location": "Anaheim, CA, USA", "number": "1", "pages_from": "6:1", "pages_to": "6:15", "volume": "32", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "interactive modeling", "surface reconstruction", "geometric optimization" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2421636.2421642&coll=DL&dl=ACM&CFID=399181985&CFTOKEN=14714358", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "[109 MB]", "filetitle": "applications video", "main_file": false, "use_in_gallery": false, 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"preview_image_width": 720, "preview_image_height": 576, "name": "arikan-2013-osn-main video.mp4", "type": "video/mp4", "size": 129570111, "path": "Publication:arikan-2013-osn", "preview_name": "arikan-2013-osn-main video:preview.png", "preview_type": "image/jpeg", "preview_size": 17315, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-main video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-main video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-main video:video.mp4" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/", "__class": "Publication" }, { "id": "arikan-thesis", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "(unknown)", "date": "2022", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 865 ], "date_end": "2013", "date_start": "2010-07", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/arikan-thesis/", "__class": "Publication" }, { "id": "Hebart-2011-ColorAdjustment", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Color Adjustment of Colored Range Images", "date": "2011", "abstract": "This thesis shows an approach to remove discontinuities in the color appearance from range images. To produce a point cloud of an object it is necessary to scan it with an 3D Scanner from several positions that the whole object is covered in the point cloud. After the scanning the different scans have to be merged which causes the problems in the color appearance. These discontinuities come e.g. from different light situations and the distance between scanned point and scanner.\r\n\r\nThis thesis shows an possible solution for this problem. The solution covers an image processing part, here are just the pictures which are made during the scanning process revised. The second part is about the processing of the already colored point cloud and re-color points according to different factors like the distance from the scanner, occlusion and so on.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Trilateral Filtering", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 477, "name": "Hebart-2011-ColorAdjustment-image.jpg", "type": "image/jpeg", "size": 123422, "path": "Publication:Hebart-2011-ColorAdjustment", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 760 ], "date_start": "2008-03-10", "matrikelnr": "0626511", "supervisor": [ 614, 193 ], "research_areas": [], "keywords": [ "Image filtering", "Point-based rendering", "Color correction" ], "weblinks": [], "files": [ { "description": "Trilateral Filtering", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 477, "name": "Hebart-2011-ColorAdjustment-image.jpg", "type": "image/jpeg", "size": 123422, "path": "Publication:Hebart-2011-ColorAdjustment", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hebart-2011-ColorAdjustment-poster.pdf", "type": "application/pdf", "size": 18951308, "path": "Publication:Hebart-2011-ColorAdjustment", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Hebart-2011-ColorAdjustment-thesis.pdf", "type": "application/pdf", "size": 11431691, "path": "Publication:Hebart-2011-ColorAdjustment", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/", "__class": "Publication" }, { "id": "leimer-2013-esopc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "External Sorting of Point Clouds", "date": "2013-09", "abstract": "In recent years, points have seen increased use as a rendering primitive. This Bachelor Thesis presents and compares a number of sorting algorithms used for sorting points in a preprocessing step. This is done in order to decrease the time needed to create a point cloud model that can be rendered by the GPU in real time. Points are compared either by their position along the longest axis or by Morton order and sorted using heap sort or radix sort. An external merge sort algorithm is used for large datasets that do not completely fit into memory. The speed of the sorting process is furthermore increased by making use of parallel processing.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Test model for sorting", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1382, "image_height": 873, "name": "leimer-2013-esopc-image.png", "type": "image/png", "size": 2914077, "path": "Publication:leimer-2013-esopc", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "matrikelnr": "0825842", "supervisor": [ 614 ], "research_areas": [], "keywords": [ "Point Clouds", "Sorting", "Out-of-Core algorithms" ], "weblinks": [], "files": [ { "description": "Test model for sorting", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1382, "image_height": 873, "name": "leimer-2013-esopc-image.png", "type": "image/png", "size": 2914077, "path": "Publication:leimer-2013-esopc", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image:thumb{{size}}.png" }, { "description": "The Bachelors Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2013-esopc-thesis.pdf", "type": "application/pdf", "size": 5920226, "path": "Publication:leimer-2013-esopc", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/", "__class": "Publication" }, { "id": "marek-2011-normalest", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Normal Estimation of Very Large Point Clouds", "date": "2011-02", "abstract": "This diploma thesis introduces methods for external sorting and fast k nearest\r\nneighbor searching for very large point clouds. Very large point clouds are datasets\r\nthat can not be processed in main memory. This leads to certain requirements for\r\nany used reconstruction technique. The most important ones are out-of-core memory\r\nmanagement and sequential data handling algorithms. The paper “Stream-\r\nProcessing Points” by Renato Pajarola shows a way to design a framework which\r\nallows to process a subset of very large point clouds. A subset is defined as a\r\nspatially continuous region holding a predefined number of points. This diploma\r\nthesis is based on the aforementioned paper and improves on the stream processing\r\npipeline presented therein. The proposed algorithm for searching the k nearest\r\nneighbors has a complexity of O(N \u0003 log(M)), where N are all points in the point\r\ncloud and M are all points in main memory, which is similar to current state of the\r\nart algorithms for in-core processed data sets.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Normals estimated in the Domitilla Catacomb model with approximately 2 billion points.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1098, "image_height": 760, "name": "marek-2011-normalest-image.png", "type": "image/png", "size": 1270924, "path": "Publication:marek-2011-normalest", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 653 ], "date_start": "2007-07-23", "matrikelnr": "0026455", "supervisor": [ 614, 193 ], "research_areas": [], "keywords": [ "Out-of-Core algorithms", "Point-based rendering", "Normal estimation" ], "weblinks": [], "files": [ { "description": "Normals estimated in the Domitilla Catacomb model with approximately 2 billion points.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1098, "image_height": 760, "name": "marek-2011-normalest-image.png", "type": "image/png", "size": 1270924, "path": "Publication:marek-2011-normalest", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marek-2011-normalest-poster.pdf", "type": "application/pdf", "size": 4926150, "path": "Publication:marek-2011-normalest", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-poster:thumb{{size}}.png" }, { "description": "The thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "marek-2011-normalest-thesis.pdf", "type": "application/pdf", "size": 18538023, "path": "Publication:marek-2011-normalest", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/", "__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": "Mayer-2010-VT", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Virtual Texturing", "date": "2010-10", "abstract": "Virtual texturing (as presented by Mittring in ’Advanced Virtual Texture Topics’ and in\r\ndistinction to clipmap-style systems, to which this term is also applied) is a solution to\r\nthe problem of real-time rendering of scenes with vast amounts of texture data which\r\ndoes not fit into graphics or main memory. Virtual texturing works by preprocessing\r\nthe aggregate texture data into equally-sized tiles and determining the necessary tiles\r\nfor rendering before each frame. These tiles are then streamed to the graphics card and\r\nrendering is performed with a special virtual texturing fragment shader that does texture\r\ncoordinate adjustments to sample from the tile storage texture.\r\nA thorough description of virtual texturing and related topics is given, along with an\r\nexamination of specific challenges including preprocessing, visible tile determination,\r\ntexture filtering, tile importance metrics and many more. Tile determination in view\r\nspace is examined in detail and an implementation for compressing the resulting buffer\r\nin OpenCL is presented. Rendering with correct texture filtering from a texture which\r\ncontains de-correlated texture tiles is attained by using tile borders with specific coordinate\r\nadjustment and gradient correction in the fragment shader.\r\nA sample implementation is described and serves to provide results concerning performance\r\nand correctness with different settings and architecture choices. Integration into\r\nOpen Scene Graph for usage within a hybrid point-cloud / polygonal renderer enables\r\nrendering of high resolution paintings within catacombs modeled with point clouds. Another\r\napplication is presented, the real-time display of a highly detailed model of New\r\nYork with more than 60 GB textures.\r\nQuantitative analysis reveals that frame-rates above 200 FPS are attainable on complex\r\nscenes with multi-million polygons even with outdated hardware. At the same time\r\nquality remains high, results indicate that ”fallbacks”, that occur when a needed texture\r\ntile is not ready in time, occur only for 0.01% of the pixels on average. These results\r\nshow that virtual texturing can be a competitive solution for games, scientific and industrial\r\napplications, allowing for real-time rendering of scenes that could not be displayed\r\npreviously, while maintaining acceptable visual quality.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 960, "image_height": 515, "name": "Mayer-2010-VT-.png", "type": "image/png", "size": 1182576, "path": "Publication:Mayer-2010-VT", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 796 ], "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 960, "image_height": 515, "name": "Mayer-2010-VT-.png", "type": "image/png", "size": 1182576, "path": "Publication:Mayer-2010-VT", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mayer-2010-VT-poster.pdf", "type": "application/pdf", "size": 13115858, "path": "Publication:Mayer-2010-VT", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mayer-2010-VT-Thesis.pdf", "type": "application/pdf", "size": 12664023, "path": "Publication:Mayer-2010-VT", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/", "__class": "Publication" }, { "id": "mazza-2012-bakk", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Optimized Sorting for Out-of-Core Surface Reconstruction", "date": "2018-05-04", "abstract": "In recent years the amount of acquisition methods for point clouds has been increasing consequently and it is getting more and more interesting for society. Even if it is possible to render point clouds directly, nowadays there exist many more algorithms which deal with triangle meshes than point clouds. For example 3D printer software requires watertight meshes as input. This makes automatic conversion of point sets to triangle meshes an important research topic. The aim of this Bachelor Thesis was to implement a plugin for Scanopy (a point cloud editing and rendering program) which can convert point clouds with hundreds of millions of samples in such a detailed degree that the data exceeds common main memory sizes. Therefore, an out-of-core algorithm was needed. The used out-of-core Poisson surface reconstruction approach requires the sorting of the input point samples in a preprocessing step. In this Bachelor Thesis it is shown that the sorting of the data with an optimized multithreaded merge sort algorithm can improve the total required time for the reconstruction process significantly. Further, this work indicates a problem which occurs while reconstructing meshes with a Poisson based reconstruction approach from scans of an open terrain. The problem leads to large unnecessary triangles which hide the reconstructed surface. A very basic solution approach for this problem is also stated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 758, "image_height": 836, "name": "mazza-2012-bakk-image.png", "type": "image/png", "size": 63835, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1035 ], "date_end": "2018-05-04", "date_start": "2012-10-01", "matrikelnr": "0825828", "supervisor": [ 614, 193 ], "research_areas": [ "Geometry" ], "keywords": [ "surface reconstruction", "out-of-core", "point processing" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 758, "image_height": 836, "name": "mazza-2012-bakk-image.png", "type": "image/png", "size": 63835, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mazza-2012-bakk-thesis.pdf", "type": "application/pdf", "size": 8761718, "path": "Publication:mazza-2012-bakk", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/", "__class": "Publication" }, { "id": "preiner_2012_AS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Auto Splats: Dynamic Point Cloud Visualization on the GPU", "date": "2012-05", "abstract": "Capturing real-world objects with laser-scanning technology has become an everyday task. Recently, the acquisition of dynamic scenes at interactive frame rates has become feasible. A high-quality visualization of the resulting point cloud stream would require a per-frame reconstruction of object surfaces. Unfortunately, reconstruction computations are still too time-consuming to be applied interactively. In this paper we present a local surface reconstruction and visualization technique that provides interactive feedback for reasonably sized point clouds, while achieving high image quality. Our method is performed entirely on the GPU and in screen pace, exploiting the efficiency of the common rasterization pipeline. The approach is very general, as no assumption is made about point connectivity or sampling density. This naturally allows combining the outputs of multiple scanners in a single visualization, which is useful for many virtual and augmented reality applications.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 982, "image_height": 832, "name": "preiner_2012_AS-image.png", "type": "image/png", "size": 1318166, "path": "Publication:preiner_2012_AS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799, 356, 193 ], "booktitle": "Proceedings of Eurographics Symposium on Parallel Graphics and Visualization", "date_from": "2012-05-13", "date_to": "2012-05-14", "editor": "H. Childs and T. Kuhlen", "isbn": " 978-3-905674-35-4", "lecturer": [ 799 ], "location": "Cagliari", "organization": "Eurographics Association 2012", "pages_from": "139", "pages_to": "148", "research_areas": [ "Geometry" ], "keywords": [ "point clouds", "surface reconstruction", "point rendering", "Auto Splats", "KNN search", "GPU rendering", "point based rendering" ], "weblinks": [], "files": { "0": { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner_2012_AS-draft.pdf", "type": "application/pdf", "size": 14963547, "path": "Publication:preiner_2012_AS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-draft:thumb{{size}}.png" }, "1": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 982, "image_height": 832, "name": "preiner_2012_AS-image.png", "type": "image/png", "size": 1318166, "path": "Publication:preiner_2012_AS", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image:thumb{{size}}.png" }, "3": { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "preiner_2012_AS-video.wmv", "type": "text/plain", "size": 48670503, "path": "Publication:preiner_2012_AS", "preview_name": "preiner_2012_AS-video:preview.png", "preview_type": "image/jpeg", "preview_size": 5344, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-video.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-video:thumb{{size}}.png" } }, "projects_workgroups": [ "TERAPOINTS", "Desiree" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/", "__class": "Publication" }, { "id": "preiner11IR", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Screen-Space Triangulation for Interactive Point Rendering", "date": "2011-06-06", "abstract": "We present a novel rendering technique that reconstructs high quality images from unorganized colored point data. While previous point rendering approaches make mostly use of preprocessed point normals and radii, our algorithm only requires position and color data as input and produces a reconstructed color image, normal map and depth map which can instantly be used to apply further deferred lighting passes. \nOur method performs a world-space neighbor search and a subsequent normal estimation in screen-space, and uses the geometry shader to triangulate the color, normal and depth information of the points. To achieve correct visibility and closed surfaces in the projected image a temporal coherence approach reuses triangulated depth information and provides adaptive neighbor search radii. Our algorithm is especially suitable for in-situ high-quality visualization of big datasets like 3D-scans, making otherwise time-consuming preprocessing steps to reconstruct surface normals and point radii dispensable.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 809, "image_height": 574, "name": "preiner11IR-.png", "type": "image/png", "size": 567107, "path": "Publication:preiner11IR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799 ], "date_from": "2011-06-06", "date_to": "2011-06-09", "event": "Austrian-Russian Joint Seminar", "lecturer": [ 799 ], "location": "Vienna", "research_areas": [ "Rendering" ], "keywords": [ "point visualization", "screen space reconstruction" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 809, "image_height": 574, "name": "preiner11IR-.png", "type": "image/png", "size": 567107, "path": "Publication:preiner11IR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "preiner11IR-slides.pdf", "type": "application/pdf", "size": 2978755, "path": "Publication:preiner11IR", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/", "__class": "Publication" }, { "id": "probst_kolesik_2010_pk10", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "GPU Point Cloud Raytracing", "date": "2010", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 880, 881 ], "date_start": "2010-10-25", "matrikelnr": "0726515; 0725148", "supervisor": [ 799, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/probst_kolesik_2010_pk10/", "__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-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": "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-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-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": "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": "TR-186-2-12-01", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Interactive Screen-Space Triangulation for High-Quality Rendering of Point Clouds", "date": "2012-04", "abstract": "This technical report documents work that is a precursor to the Auto Splatting technique. We present a rendering method that reconstructs high quality images from unorganized colored point data. While previous real-time image reconstruction approaches for point clouds make use of preprocessed data like point radii or normal estimations, our algorithm only requires position and color data as input and produces a reconstructed color image, normal map and depth map which can instantly be used to apply further deferred lighting passes. Our method performs a world-space neighbor search\nand a subsequent normal estimation in screen-space, and uses the geometry shader to triangulate the color, normal\nand depth information of the points. To achieve correct visibility and closed surfaces in the projected image a temporal coherence approach reuses triangulated depth information and provides adaptive neighbor search radii. Our algorithm is especially suitable for insitu high-quality visualization of big datasets like 3D-scans, making otherwise time-consuming preprocessing steps to reconstruct surface normals or point radii dispensable.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 747, "image_height": 518, "name": "TR-186-2-12-01-.png", "type": "image/png", "size": 429373, "path": "Publication:TR-186-2-12-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 799, 193 ], "number": "TR-186-2-12-01", "research_areas": [ "Rendering" ], "keywords": [ "screen triangulation", "point rendering", "nearest neighbors", "screen-space", "point clouds" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 747, "image_height": 518, "name": "TR-186-2-12-01-.png", "type": "image/png", "size": 429373, "path": "Publication:TR-186-2-12-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-:thumb{{size}}.png" }, { "description": null, "filetitle": "tech-report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-12-01-tech-report.pdf", "type": "application/pdf", "size": 8849194, "path": "Publication:TR-186-2-12-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-tech-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-tech-report:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/", "__class": "Publication" }, { "id": "Tragust-2012-GMHPC", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Graph Models for Guided Point Cloud Navigation", "date": "2012", "abstract": "Navigation in huge point cloud models can be difficult to the extent that users get lost within the point cloud. In this project graphs are manually defined that describe major paths through the model that the user cannot leave. The user is guided along the paths to the most important areas of the point cloud.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 867 ], "date_end": "2012-06-28", "date_start": "2010-07-07", "matrikelnr": "0827047", "supervisor": [ 614, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Tragust-2012-GMHPC/", "__class": "Publication" }, { "id": "Tragust-2014-master-thesis", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Integrating Annotations into a Point-based Rendering System", "date": "2014-01", "abstract": "The preservation of archaeological sites is an important task in cultural heritage. Classical methods\r\nconserve archaeological objects in museums and provide restoration of archaeological sites\r\nthreatened by decay. The improved digitalization provides the possibility to generate an accurate\r\nrepresentation of archaeological sites by using laser scanners. The resulting point clouds\r\ncan preserve the archaeological site and provide the possibility to view it in its digital form even\r\nif it no longer exists.\r\nUsually, the archaeological site comes with a lot of different material, which has been created\r\nover the years. This material provides information about the digitalized object, which helps to\r\ngain a deeper understanding about the presented archaeological site.\r\nThis thesis presents an annotation system for a point-cloud renderer. The system allows\r\nadding annotations in the 3D space next to the part of the point cloud it belongs to. This helps to\r\nprovide the additional information of the point cloud in the context it belongs to. Moreover, each\r\nannotation should present interesting information about specific annotated parts of the archaeological\r\nsite to the viewer. Besides simple textual annotations, a variable amount of documents,\r\nsuch as images and PDFs, can be attached to each annotation to provide all kind of information.\r\nSeveral filtering techniques, including viewpoint-dependent priority filtering, are presented\r\nto control the visibility of the annotations. Moreover, a guidance system based on graphs is\r\nintroduced to lead viewers to different points of interest, which are represented as annotations.\r\nTo provide a clear connection between annotations and the annotated part of the point cloud,\r\na point-selection method and a point-marking method are presented. To allow the connection of\r\na large set of annotations to a single point cloud, these methods are developed in CUDA. This\r\nis done by extending existing methods, which create octrees in CUDA. The developed methods\r\nallow fast execution on the GPU while a CPU-based method is not able to handle such a large\r\namount of point selections in real-time.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Annotations in a point cloud", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 483, "name": "Tragust-2014-master-thesis-image.jpg", "type": "image/jpeg", "size": 140762, "path": "Publication:Tragust-2014-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 867 ], "date_start": "2012-06-26", "diploma_examina": "2014", "matrikelnr": "0827047", "supervisor": [ 614, 193 ], "research_areas": [], "keywords": [ "user guidance", "annotating objects", "information system" ], "weblinks": [], "files": [ { "description": "Annotations in a point cloud", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 483, "name": "Tragust-2014-master-thesis-image.jpg", "type": "image/jpeg", "size": 140762, "path": "Publication:Tragust-2014-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Tragust-2014-master-thesis-thesis.pdf", "type": "application/pdf", "size": 15412486, "path": "Publication:Tragust-2014-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/", "__class": "Publication" }, { "id": "trumpf_stefan_2012", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Labeling and Leveling of Meshes", "date": "2012", "abstract": "The aim of this project was the extension of the functional range of an existing library used for labeling. Labeling in this context refers to the problem of texturing a mesh of an archaeological item, given a huge set of photos such that there is a vast amount of possibilities to choose a suitable photo for each triangle.\r\n\r\nThe first step was the implementation of a masking-feature. This feature is necessary, since not all regions in the photos are equivalently suited to texture the mesh. The masks are provided by the user of the library and show the regions in the photos that can be used for texturing of the model.\r\n\r\nThe second step was the implementation of an interacitve brushing tool. This brushing tool enables the user to enlarge the region that is textured by a particular photo (growing brush), or to replace the current photo that is used for texturing of a particular region with the photo, which is the next optimal photo suitable for texturing. The brushing tool was implemented into Scanopy, a point cloud editor that is developed at the institute.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1089 ], "date_end": "2013-10-01", "date_start": "2012-10-01", "matrikelnr": "0400951", "supervisor": [ 836 ], "research_areas": [], "keywords": [ "Meshes", "Leveling", "Labeling" ], "weblinks": [], "files": [], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/trumpf_stefan_2012/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/TERAPOINTS", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "GAMEWORLD", "workgroup_id": "rend", "drupal_id": 4238, "drupal_path": "/research/projects/GAMEWORLD", "name": "GAMEWORLD - Procedural Worlds for Games", "name_de": null, "short_title": "GAMEWORLD", "website": null, "status": "active", "short_abstract": "The aim of the GAMEWORLD project is to procedurally generate cities, villages and other game environments mainly to be used in tomorrow's video games.", "abstract": "The aim of the GAMEWORLD project is to procedurally generate cities, villages and other game environments mainly to be used in tomorrow's video games.\n
\nTypically, 3D game and virtual environments are created using off-the-shelf software like Autodesk Maya or MAX. While these tools allow professional artists to produce very high-quality models, this task is becoming more and more labour intensive and time consuming, and therewith expensive, as the detail expected from virtual worlds is continuously increasing. This is one of the most important problems in game development, so that finding suitable automatic modelling techniques has become somewhat of a holy grail of the game industry.\n
\nIn the Gameworld project, we aim to facilitate and automate the process of generating interactive 3D models, while still giving the designer a high level of control over the visual and architectural style of the created models. We will go beyond modelling building facades, and cover more general objects, including street networks and green spaces, urban furniture, indoor environments, and semantic gameplay annotations.\n
\nIn order to achieve this goal, we will use sophisticated procedural design grammars, precursors to which have already been developed at the Vienna University of Technology and the Arizona State University. We expect this approach to lead to tools that can be applied in production environments, significantly reducing the effort required to create interactive worlds. Potential application areas of this technology are not limited to video games, but include any field using virtual environments.\n
\nThe project team combines scientific and industrial experience in an ideal way. The academic partners have already been cooperating on research into procedural modelling techniques previously. Sproing is Austria's leading video and computer game development studio, and will bring its long standing experience and knowledge about the needs of the game development industry to the table.\n", "start_date": "2007-09-01", "end_date": "2012-08-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:GAMEWORLD", "type": "image/png", "size": 602918, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/GAMEWORLD/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "FFF", "contract_number": "813387", "comment": "FIT-IT Visual Computing", "funding_organisation": { "id": "FFF", "drupal_id": 4141, "name": "FFG", "logo": { "name": "logo.png", "type": "image/png", "size": 2040, "orig_name": "logo.png", "path": "FundingOrganisation:FFF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/FFF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "ADAPT", "contract_number": null, "comment": null }, { "id": "AR-AQ-Bau", "contract_number": "867375", "comment": null }, { "id": "AutARG", "contract_number": "FIT-IT project no. 819352", "comment": null }, { "id": "BimFlexi", "contract_number": null, "comment": null }, { "id": "EvaluARte", "contract_number": null, "comment": null }, { "id": "GAMEWORLD", "contract_number": "813387", "comment": "FIT-IT Visual Computing" }, { "id": "Landspotting", "contract_number": "2008999", "comment": null }, { "id": "REPLICATE", "contract_number": "835948", "comment": "FIT-IT" }, { "id": "RESHADE", "contract_number": "820916", "comment": "FIT-IT Visual Computing" }, { "id": "Scanopy", "contract_number": "812126", "comment": null }, { "id": "SCI_BIM", "contract_number": "867314", "comment": "Stadt der Zukunft" }, { "id": "Sim-CT", "contract_number": "812136-SCK/KUG (Bridge project)", "comment": null }, { "id": "Smart-CT", "contract_number": "818108 (Bridge project)", "comment": null }, { "id": "Smile Analytics", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" }, { "id": "TERAPOINTS", "contract_number": "825842", "comment": "FIT-IT Visual Computing" }, { "id": "Wohnen 4.0", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Modeling", "drupal_id": 4130, "name": "Modeling", "short_abstract": "In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "abstract": "One of the major bottlenecks in the field of computer graphics is the one of content creation, particularly the creation of high-quality 3D geometric models. These models are a demand in many industries, such as entertainment, computer-aided design, urban planning, the fabrication of physical objects, as well as research areas like medical or scientific visualizations and simulations.\n\nWhile rendering - the classical field of computer graphics - has reached very high standards in the recent two decades, the issue of the creation of appropriate digital models is a difficult problem that hardly keeps pace with current demands. Indeed, it is a complex creative process that involves both artistic and technical skills.\n\nTo make this process easier, our goal in this research area is to find new methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.", "website": "https://www.cg.tuwien.ac.at/research/area/Modeling", "teaser": { "name": "teaser.jpg", "path": "research_area:Modeling", "type": "image/jpeg", "size": 190581, "orig_name": "teaser.jpg", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Modeling/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "AA2020", "Adorjan-2015", "aichner-2016-sadf", "arikan-2013-osn", "birsak-thesis", "Birsak2018-SA", "Brandstaetter2020", "brunner_lukas_2022_ssb", "Caic2021", "clemenz_2019_rosy_fields", "DOG10", "dusberger-2010-msm", "eibens-2021-tsgpmg", "eibensteiner-2021-pmcg", "eibner-2009-gpc", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fan-2014-scfl", "ferschin-1992-kons", "fiedler-2009-php", "fleiss-2015-da", "GAHR-2013-AGM", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "gervautz-1989-sol1", "gervautz-1993-use", "griessmair-1989-def1", "groeller-1992-frac", "groeller-1995-mod", "Groeller-1995-SDC", "Grossfurtner-2023-paego", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "HECHER-2017-HDY", "hiess-1992-comb", "hofer_kerstin-2023-sketch2model", "honic-2020-w78", "HU-2017-ETM", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2013-cipmi", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ilcik-2021-xmas", "kapferer_2021_advancing", "karnik-09-shapegrammar", "Kellner-2021-DA", "kendlbacher-2016", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "koenigsberger-2024-msu", "komon-2025-webigeo", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kraehsmaier-dsc", "kreuzer-2016-isf", "kuehtreiber-2010-ikph", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "lipp2011a", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "Maierhofer-thesis", "manpreet_kainth-2012-rus", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_thesis_2019", "mindek-xmas-card-2016", "mujadzic-2023-hfp", "musialski-2009-sbfr", "musialski-2010-pfi", "musialski-2010-tof", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "NIEDERREITER-2010-SIM", "Pahr2020", "Parzer_2013_IIG", "pegrisch_2018_uvs", "Pel-2026", "pogrzebacz-2014-gggm", "polzer-sog", "preiner_2017_phd", "PUEYO-2019-SCL", "RADAX-2010-LOD", "Radwan_2021_Occ", "rasch-2016-imgses", "recheis-2009-arr", "Reichinger-12", "reisinger-2023-iad", "reisner-2010-ind", "reisner-2011-akgeo", "reitsamer-2008-tsud", "Rumpelnik_Martin-2020-NPR", "scharl-master-thesis", "schneider-sturm-2026-mia", "scholz_2017_bac", "SCHWAERZLER-2017-SBGM", "SIETZEN-2017-BBO", "sifuentes-2018-crowd", "sippl-2014-fss", "sperl-2013-BA", "spitaler-2015-pbi", "steiner_2016_isad", "steiner-2014-da", "steinkellner-2022-dll", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "tobler02_amrmg", "tobler02_mbpls", "Traxler-1996-GAI", "VASILJEVS-2018-PMPL", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "weiner_2011", "WIMMER-2015-CGFC", "WIMMER-2016-FUTURIS", "WIMMER-2020-ASG", "wimmer-2023-acd", "Winkler-2017", "WINKLER-2019-PDG", "Wonka-2003-Ins", "xmas-2024", "zeiller-1993-coll", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2006-pla", "zotti-2007-eg" ], "projects": [ "3DSpatialization", "d4388", "EVOCATION", "GAMEWORLD", "Harvest4D", "PAMINA", "Photo-Guide", "REPLICATE", "SCI_BIM", "Wohnen 4.0" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Modeling", "__class": "ResearchArea" } ], "publications": [ { "id": "dusberger-2010-msm", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Mesh-Subdivision Methods in CGA Shape Grammars", "date": "2010", "abstract": "This report describes the application of mesh-subdivision algorithms\nin the context of CGA shape, a shape grammar for Computer\nGenerated Architecture. Constituting a procedural modeling\napproach, CGA shape allows the creation of models under moderate\neffort, which can furthermore be varied easily by the possibility\nto parametrize the rules of CGA shape.\nAt the Vienna University of Technology a CGA shape implementation\nis being designed and extended by a skeleton system, allowing\nan easier variation of poses for humanoid models. In this report we\nfollow this idea and want to further extend CGA shape by meshsubdivision\nin order to achieve a higher quality and complexity in\nthe resulting models. We discuss mesh-subdivision in general and\nevaluate the results of an implementation in the existing software\nsystem of the Vienna University of Technology.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 285, "image_height": 360, "name": "dusberger-2010-msm-teaser.png", "type": "image/png", "size": 31371, "path": "Publication:dusberger-2010-msm", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 866 ], "date_end": "2010-07-20", "date_start": "2010-03-09", "matrikelnr": "0725856", "supervisor": [ 1303 ], "research_areas": [ "Modeling" ], "keywords": [ "mesh subdivision", "shape grammars", "procedural modeling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "dusberger-2010-msm-report.pdf", "type": "application/pdf", "size": 744890, "path": "Publication:dusberger-2010-msm", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-report:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 285, "image_height": 360, "name": "dusberger-2010-msm-teaser.png", "type": "image/png", "size": 31371, "path": "Publication:dusberger-2010-msm", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/", "__class": "Publication" }, { "id": "fiedler-2009-php", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Procedural Human Posing Using CGA Grammars", "date": "2009", "abstract": "This report presents a grammar for the procedural modeling of humanoid characters and poses based on CGA shape, a shape grammar for computer generated architecture. Various models can be derived with the same set of parametrized rules for geometric operations, and include a skeletal system for posing. The main part of this report defines basic rules and their effect on shapes and skeletons and discusses the results of an actual implementation of the grammar with examples.", "authors_et_al": false, "substitute": null, "main_image": { "description": "A humanoid figure modeled and posed using a shape grammar.", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 541, "image_height": 522, "name": "fiedler-2009-php-image.jpg", "type": "image/jpeg", "size": 22903, "path": "Publication:fiedler-2009-php", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 822 ], "date_end": "2009-11-02", "date_start": "2009-07-14", "matrikelnr": "0155490", "supervisor": [ 1303 ], "research_areas": [ "Modeling" ], "keywords": [ "shape grammars", "computer animation", "character modeling", "procedural modeling", "computational geometry" ], "weblinks": [], "files": [ { "description": "A humanoid figure modeled and posed using a shape grammar.", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 541, "image_height": 522, "name": "fiedler-2009-php-image.jpg", "type": "image/jpeg", "size": 22903, "path": "Publication:fiedler-2009-php", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fiedler-2009-php-report.pdf", "type": "application/pdf", "size": 1306474, "path": "Publication:fiedler-2009-php", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-report:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/", "__class": "Publication" }, { "id": "GEBHART-2008-AGV", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Automatisches Generieren von 3D-Straßensystemen", "date": "2008-03", "abstract": "In dieser Arbeit geht es um die Generierung von 3D Geometrie für große Straßensysteme.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 771 ], "diploma_examina": "2008-03-26", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "3d street modeling" ], "weblinks": [], "files": [], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/GEBHART-2008-AGV/", "__class": "Publication" }, { "id": "Habel_09_PGT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Physically Guided Animation of Trees", "date": "2009-03", "abstract": "This paper presents a new method to animate the interaction of a tree with wind both realistically and in real time. The main idea is to combine statistical observations with physical properties in two major parts of tree animation. First, the interaction of a single branch with the forces applied to it is approximated by a novel efficient two step nonlinear deformation method, allowing arbitrary continuous deformations and circumventing the need to segment a branch to model its deformation behavior.\nSecond, the interaction of wind with the dynamic system representing a tree is statistically\nmodeled. By precomputing the response function of branches to turbulent wind in frequency\nspace, the motion of a branch can be synthesized efficiently by sampling a 2D motion texture.\n\nUsing a hierarchical form of vertex displacement, both methods can be combined in a single vertex shader, fully leveraging the power of modern GPUs\nto realistically animate thousands of branches and ten thousands of leaves at practically no cost.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Animated Tree", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_09_PGT-Image.jpg", "type": "image/jpeg", "size": 339703, "path": "Publication:Habel_09_PGT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 670, 193 ], "date_from": "2009-03-30", "date_to": "2009-04-03", "event": "EUROGRAPHICS 2009", "issn": "0167-7055", "journal": "Computer Graphics Forum (Proceedings EUROGRAPHICS 2009)", "lecturer": [ 618 ], "location": "Munich", "number": "2", "pages_from": "523", "pages_to": "532", "volume": "28", "research_areas": [ "Rendering" ], "keywords": [ "Animation", "Physically Guided animation", "Vegetation", "Trees" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01391.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Physically Guided Animation of Trees", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_09_PGT-draft.pdf", "type": "application/pdf", "size": 2733729, "path": "Publication:Habel_09_PGT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-draft:thumb{{size}}.png" }, { "description": "Animated Tree", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_09_PGT-Image.jpg", "type": "image/jpeg", "size": 339703, "path": "Publication:Habel_09_PGT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image:thumb{{size}}.png" }, { "description": "Video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 720, "preview_image_height": 576, "name": "Habel_09_PGT-Video.avi", "type": "video/x-msvideo", "size": 83009760, "path": "Publication:Habel_09_PGT", "preview_name": "Habel_09_PGT-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 11887, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video:video.mp4" } ], "projects_workgroups": [ "GAMEWORLD", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/", "__class": "Publication" }, { "id": "Habel-2010-EIN", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Efficient Irradiance Normal Mapping", "date": "2010-02", "abstract": "Irradiance normal mapping is a method to combine two popular techniques, light mapping and normal mapping, and is used\nin games such as Half-Life 2 or Halo 3. This combination allows using low-resolution light caching on surfaces with only a few coefficients which are evaluated by normal maps to render spatial high-frequency changes in the lighting. Though there are dedicated bases for this purpose such\nas the Half-Life 2 basis, higher order basis functions such as quadratic Spherical Harmonics are needed for an accurate representation.\nHowever, a full spherical basis is not needed since the irradiance is stored on the surface of a scene.\n\nIn order to represent the irradiance signals efficiently, we propose a novel polynomial, hemispherically orthonormal basis function set that is specifically designed to carry a directional irradiance signal on the hemisphere and which makes optimal use of the number of coefficients. To compare our results with previous work, we analyze the relations and attributes of previously proposed basis systems and show that 6 coefficients are sufficient to accurately represent an irradiance signal on the hemisphere.\nTo create the necessary irradiance signals, we use Spherical Harmonics as an intermediate basis due to their fast filtering capabilities.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Scene", "filetitle": "Scene", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 768, "name": "Habel-2010-EIN-Scene.png", "type": "image/png", "size": 1894585, "path": "Publication:Habel-2010-EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 193 ], "booktitle": "Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2010", "date_from": "2010-02-29", "date_to": "2010-02-21", "isbn": "978-1-60558-939-8", "lecturer": [ 618 ], "location": "Washington D.C.", "pages_from": "189", "pages_to": "195", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "irradiance", "real-time rendering", "normal mapping", "lightmap" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel-2010-EIN-paper.pdf", "type": "application/pdf", "size": 6183798, "path": "Publication:Habel-2010-EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-paper:thumb{{size}}.png" }, { "description": "Scene", "filetitle": "Scene", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 768, "name": "Habel-2010-EIN-Scene.png", "type": "image/png", "size": 1894585, "path": "Publication:Habel-2010-EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel-2010-EIN-slides.ppt", "type": "application/vnd.ms-office", "size": 12477952, "path": "Publication:Habel-2010-EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/", "__class": "Publication" }, { "id": "ilcik-2010-ps", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Procedural Skeletons: Kinematic Extensions to CGA-Shape Grammars", "date": "2010-05", "abstract": "Procedural modeling for architectural scenes was as yet limited to static objects only. We introduce a novel extension layer for shape grammars which creates a skeletal system for posing and interactive manipulation of generated models. Various models can be derived with the same set of parametrized rules for geometric operations. Separation of geometry generation and pose synthesis improves design efficiency and reusability. Moreover, by formal analysis of\nproduction rules we show how to efficiently update complex kinematic\nhierarchies created by the skeletons, allowing state-of-the-art interactive visual rule editing.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 650, "name": "ilcik-2010-ps-image.bmp", "type": "image/x-ms-bmp", "size": 585054, "path": "Publication:ilcik-2010-ps", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 822, 190, 193 ], "booktitle": "Proceedings of the Spring Conference on Computer Graphics 2010", "date_from": "2010-05-13", "date_to": "2010-05-15", "isbn": "978-80-223-2644-5", "lecturer": [ 1303 ], "pages_from": "177", "pages_to": "184", "publisher": "Comenius University, Bratislava", "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling", "shape grammars", "architecture", "skeletal animation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ilcik-2010-ps-draft.pdf", "type": "application/pdf", "size": 1475663, "path": "Publication:ilcik-2010-ps", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 650, "name": "ilcik-2010-ps-image.bmp", "type": "image/x-ms-bmp", "size": 585054, "path": "Publication:ilcik-2010-ps", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image:thumb{{size}}.png" }, { "description": null, "filetitle": "presentation-odp", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ilcik-2010-ps-presentation-odp.odp", "type": "application/octet-stream", "size": 4056534, "path": "Publication:ilcik-2010-ps", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-presentation-odp.odp", "thumb_image_sizes": [] }, { "description": null, "filetitle": "presentation-pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ilcik-2010-ps-presentation-pdf.pdf", "type": "application/pdf", "size": 1490536, "path": "Publication:ilcik-2010-ps", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-presentation-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-presentation-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/", "__class": "Publication" }, { "id": "ilcik-2011-pmous", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Procedural Modeling of Urbanistic Scenes", "date": "2010-06-09", "abstract": "The aim of the GameWorld project was the procedural generation of cities and buildings on different levels of control, from manual to fully automatic modeling. Target applications included\r\nmainly computer games, virtual reality applications and other digital content creation scenarios for entertainment industry, architectural, historical and archaeological visualizations, and much more.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 680, 781, 193 ], "event": "Austrian-Russian Joint Seminar - Visual Computing in Fundamental, Academic and Applied Science and Research", "lecturer": [ 1303 ], "location": "Vienna, Austria", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2011-pmous/", "__class": "Publication" }, { "id": "kuehtreiber-2010-ikph", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Inverse Kinematics for Shape Grammars", "date": "2010", "abstract": "In this project I describe the implementation of a solver of the Inverse Kinematic (IK) problem\nin an environment using shape grammar based on CGA Shape. There exists a number of different\nalgorithms for this problem, however, this report describes only the cyclic coordinate descent (CCD)\nin more detail as this is the method we implemented.\nThe implementation enabels the positioning of a certain shape so that it touches a user-specified target\npoint. The implemented algorithm rotates the shapes until the end effector is at the desired position.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 269, "name": "kuehtreiber-2010-ikph-.jpg", "type": "image/jpeg", "size": 35034, "path": "Publication:kuehtreiber-2010-ikph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 841 ], "date_end": "2010", "date_start": "2009-12-07", "matrikelnr": "0625431", "supervisor": [ 1303 ], "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling", "inverse kinematics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 269, "name": "kuehtreiber-2010-ikph-.jpg", "type": "image/jpeg", "size": 35034, "path": "Publication:kuehtreiber-2010-ikph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kuehtreiber-2010-ikph-report.pdf", "type": "application/pdf", "size": 451310, "path": "Publication:kuehtreiber-2010-ikph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-report:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/", "__class": "Publication" }, { "id": "lipp_markus-2010-DAC", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Direct Artist Control for Procedural Content Generation of Urban Environments", "date": "2010-10", "abstract": "Creating 3D digital assets of urban environments is a challenging task, requiring a significant amount of manual labor. To automate parts of this process, many procedural modeling methods to automatically create buildings, plants or entire cities were introduced. The main advantage of such methods compared to manual methods is the ability to create large amounts of assets using just a few parameters as input data. \r\n\r\nHowever, the main disadvantage is the difficulty to control or predict the output of such methods. Direct controllability is especially important for artists enabling them to model the output to their vision or requirements. Therefore, the main goal of this thesis is combining the direct control provided by manual methods with the power of procedural modeling.\r\n\r\nTo achieve this, several new methods and paradigms bringing direct and visual artist control to procedural generation of urban environments are contributed in this thesis. These include a method enabling a visual design process for building grammars, as well as methods providing direct artist control for architecture generation algorithms. To model whole cities, we introduce a layering system for urban layouts based on graph cut, contributing the ability to perform direct and persistent changes to a procedurally generated city. Additionally, the concept of anchored assignments is introduced, enabling direct control of parameter distributions on cities. Finally, as real-time performance of generation algorithms is paramount if they are to be used in a production setting, we introduce an algorithm able to parallelize the work of L-system generation to thousands of processors.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lipp_markus-2010-DAC-.pdf", "type": "application/pdf", "size": 921518, "path": "Publication:lipp_markus-2010-DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 680 ], "co_supervisor": [ 194 ], "duration": "3 years", "reviewer_1": [ 193 ], "reviewer_2": [ 194 ], "rigorosum": "2010-11-16", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "Procedural Modeling", "Urban Layouts", "Interactive Control" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "lipp_markus-2010-DAC-.pdf", "type": "application/pdf", "size": 921518, "path": "Publication:lipp_markus-2010-DAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-:thumb{{size}}.png" }, { "description": "Pdf of thesis", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1186, "preview_image_height": 1054, "name": "lipp_markus-2010-DAC-Thesis.pdf", "type": "application/pdf", "size": 17993864, "path": "Publication:lipp_markus-2010-DAC", "preview_name": "lipp_markus-2010-DAC-Thesis:preview.png", "preview_type": "image/jpeg", "preview_size": 403894, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/", "__class": "Publication" }, { "id": "LIPP-2007-CGA", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Computer Generated Architecture", "date": "2007", "abstract": "The creation of visually convincing architectural models using traditional modeling methods is a labor intensive task. Procedural modeling techniques strive to reduce the manual work an artist has to perform when modeling architecture. In previous work, those techniques were successfully applied to the creation of architecture. However, previous methods have a limited usability, as they are based on text editing. This makes modeling unintuitive and diminishes the advantages of procedural modeling.\n\nTherefore, methods to interactively create procedural architecture, using a graphical user interface, are explored in this thesis. As interactivity also requires real-time rendering performance, methods to accelerate the generation of architecture are investigated. Further, the thesis provides a detailed report on previous procedural architecture generation techniques.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 338, "name": "LIPP-2007-CGA-.jpg", "type": "image/jpeg", "size": 89121, "path": "Publication:LIPP-2007-CGA", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 680 ], "date_end": "2007", "date_start": "2007", "matrikelnr": "0125260", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "computer generated architecture", "procedural modeling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 576, "image_height": 338, "name": "LIPP-2007-CGA-.jpg", "type": "image/jpeg", "size": 89121, "path": "Publication:LIPP-2007-CGA", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LIPP-2007-CGA-Thesis.pdf", "type": "application/pdf", "size": 10045616, "path": "Publication:LIPP-2007-CGA", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/", "__class": "Publication" }, { "id": "LIPP-2008-IEV", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Editing of Grammars for Procedural Architecture", "date": "2008-08", "abstract": "We introduce a real-time interactive visual editing paradigm for\nshape grammars, allowing the creation of rulebases from scratch\nwithout text file editing. In previous work, shape-grammar based\nprocedural techniques were successfully applied to the creation of\narchitectural models. However, those methods are text based, and\nmay therefore be difficult to use for artists with little computer science\nbackground. Therefore the goal was to enable a visual workflow\ncombining the power of shape grammars with traditional modeling\ntechniques. We extend previous shape grammar approaches\nby providing direct and persistent local control over the generated\ninstances, avoiding the combinatorial explosion of grammar rules\nfor modifications that should not affect all instances. The resulting\nvisual editor is flexible: All elements of a complex state-of-the-art\ngrammar can be created and modified visually.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 553, "image_height": 628, "name": "LIPP-2008-IEV-.jpg", "type": "image/jpeg", "size": 75689, "path": "Publication:LIPP-2008-IEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 680, 194, 193 ], "date_from": "2008-08-11", "date_to": "2008-08-15", "doi": "10.1145/1360612.1360701", "event": "ACM SIGGRAPH 2008", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 680 ], "location": "Los Angeles, CA", "note": "Article No. 102", "number": "3", "pages_from": "102:1", "pages_to": "10", "volume": "27", "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling", "shape grammars", "architectural modeling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 553, "image_height": 628, "name": "LIPP-2008-IEV-.jpg", "type": "image/jpeg", "size": 75689, "path": "Publication:LIPP-2008-IEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LIPP-2008-IEV-paper.pdf", "type": "application/pdf", "size": 4367611, "path": "Publication:LIPP-2008-IEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-paper:thumb{{size}}.png" }, { "description": "Supplemental Video", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 960, "preview_image_height": 720, "name": "LIPP-2008-IEV-video.avi", "type": "video/x-msvideo", "size": 50682588, "path": "Publication:LIPP-2008-IEV", "preview_name": "LIPP-2008-IEV-video:preview.png", "preview_type": "image/jpeg", "preview_size": 27804, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-video:video.mp4" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/", "__class": "Publication" }, { "id": "LIPP-2009-PGL", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Parallel Generation of L-Systems", "date": "2009-11", "abstract": "This paper introduces a solution to compute L-systems on parallel architectures like GPUs and multi-core CPUs. Our solution can split the derivation of the L-system as well as the interpretation and geometry generation into thousands of threads running in parallel. We introduce a highly parallel algorithm for L-system evaluation that works on arbitrary L-systems, including parametric productions, context sensitive productions, stochastic production selection, and productions with side effects. Further we directly interpret the productions defined in plain-text, without requiring any compilation or transformation step (e.g., into shaders). Our algorithm is efficient in the sense that it requires no explicit inter-thread communication or atomic operations, and is thus completely lock free.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1597, "image_height": 1136, "name": "LIPP-2009-PGL-image.jpg", "type": "image/jpeg", "size": 1177798, "path": "Publication:LIPP-2009-PGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 680, 194, 193 ], "booktitle": "Vision, Modeling, and Visualization Workshop (VMV) 2009 ", "date_from": "2009-11-16", "date_to": "2009-11-18", "editor": "Marcus Magnor, Bodo Rosenhahn, Holger Theisel", "isbn": "978-3980487481", "lecturer": [ 680 ], "location": "Braunschweig", "pages_from": "205", "pages_to": "214", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1597, "image_height": 1136, "name": "LIPP-2009-PGL-image.jpg", "type": "image/jpeg", "size": 1177798, "path": "Publication:LIPP-2009-PGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LIPP-2009-PGL-paper.pdf", "type": "application/pdf", "size": 2012473, "path": "Publication:LIPP-2009-PGL", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/", "__class": "Publication" }, { "id": "LIPP-2009-PGL2", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Parallel Generation of L-Systems", "date": "2009-08", "abstract": "In this work we investigate whether it is possible to efficiently\nevaluate one of the most classical procedural modeling\nprimitives, L-systems, directly on parallel architectures,\nexemplified by current GPUs and multi-core\nCPUs. The main motivation is to enable interactive\nediting of large L-systems by designers, therefore it is\nimportant to speed up the computation of L-systems in\norder to achieve low response times.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2268, "image_height": 906, "name": "LIPP-2009-PGL2-.jpg", "type": "image/jpeg", "size": 902327, "path": "Publication:LIPP-2009-PGL2", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 680, 194, 193 ], "date_from": "2009-08-01", "date_to": "2009-08-03", "event": "High-Performance Graphics 2009", "location": "New Orleans, LA", "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2268, "image_height": 906, "name": "LIPP-2009-PGL2-.jpg", "type": "image/jpeg", "size": 902327, "path": "Publication:LIPP-2009-PGL2", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-:thumb{{size}}.png" }, { "description": "Poster presented at HPG", "filetitle": "Poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "LIPP-2009-PGL2-Poster.pdf", "type": "application/pdf", "size": 31790817, "path": "Publication:LIPP-2009-PGL2", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-Poster:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/", "__class": "Publication" }, { "id": "LIPP-2010-PGMS", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Parallel Generation of Multiple L-Systems", "date": "2010-10", "abstract": "This paper introduces a solution to compute L-systems on parallel architectures like GPUs and multi-core CPUs. Our solution can split the derivation of the L-system as well as the interpretation and geometry generation into thousands of threads running in parallel. We introduce a highly parallel algorithm for L-system evaluation that works on arbitrary L-systems, including parametric productions, context sensitive productions, stochastic production selection, and productions with side effects. This algorithm is further extended to allow evaluation of multiple independent L-systems in parallel. In contrast to previous work, we directly interpret the productions defined in plain-text, without requiring any compilation or transformation step (e.g., into shaders). 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The meshes are displayed in the form of wires or polygons inside the\nwindow and can be modified using custom controls in the control box at the left border of the\nwindow. By the support of OGRE3D, arbitrary information concerning the displayed meshes\ncan be overlaid at 3D coordinates. The mesh can be translated and rotated using the mouse\nand keyboard.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 753, "image_height": 557, "name": "NIEDERREITER-2010-SIM-.png", "type": "image/png", "size": 129504, "path": "Publication:NIEDERREITER-2010-SIM", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 792 ], "date_end": "2010-02-25", "date_start": "2009-07-07", "matrikelnr": "0726258", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "urban modeling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 753, "image_height": 557, "name": "NIEDERREITER-2010-SIM-.png", "type": "image/png", "size": 129504, "path": "Publication:NIEDERREITER-2010-SIM", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-:thumb{{size}}.png" }, { "description": "developer documentation", "filetitle": "devdoc", "main_file": false, "use_in_gallery": false, "access": "public", "name": "NIEDERREITER-2010-SIM-devdoc.pdf", "type": "application/pdf", "size": 183601, "path": "Publication:NIEDERREITER-2010-SIM", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-devdoc.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-devdoc:thumb{{size}}.png" }, { "description": "Accompanying bachelor thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "NIEDERREITER-2010-SIM-thesis.pdf", "type": "application/pdf", "size": 4859491, "path": "Publication:NIEDERREITER-2010-SIM", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-thesis:thumb{{size}}.png" }, { "description": "user documentation", "filetitle": "userdoc", "main_file": false, "use_in_gallery": false, "access": "public", "name": "NIEDERREITER-2010-SIM-userdoc.pdf", "type": "application/pdf", "size": 272137, "path": "Publication:NIEDERREITER-2010-SIM", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-userdoc.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-userdoc:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/", "__class": "Publication" }, { "id": "Purgathofer-2009-rus", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Interactive Visual Editing of Grammars for Procedural Architecture", "date": "2009-10-20", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 190, 680 ], "event": "Visual Computing in Fundamental, Academic and Applied Science and Research", "lecturer": [ 190 ], "location": "Moskau, Russia", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Purgathofer-2009-rus/", "__class": "Publication" }, { "id": "RADAX-2010-LOD", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Levels of Detail for Procedural Modeling", "date": "2010", "abstract": "The Cga-LoD program is used to create LoD models out of models created with Markus Lipp's Cga\nprogram. The LoDs are based on bounding boxes, rather than mesh simplification.\nThe Cga program creates architectural models based on hierarchical rules. The Cga-LoD program\nnow uses the hierarchy of each model to create the LoD models. Basically parts of the hierarchy\nwill be replaced by oriented bounding boxes enclosing the geometry of this parts. This bounding\nboxes will them be texturized and used instead of the original geometry.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 502, "name": "RADAX-2010-LOD-image.png", "type": "image/png", "size": 161071, "path": "Publication:RADAX-2010-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 721 ], "date_end": "2009-10-31", "date_start": "2009-05-06", "matrikelnr": "0500848", "supervisor": [ 680, 193 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": "developer documentation", "filetitle": "devdoc", "main_file": false, "use_in_gallery": false, "access": "public", "name": "RADAX-2010-LOD-devdoc.pdf", "type": "application/pdf", "size": 183361, "path": "Publication:RADAX-2010-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-devdoc.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-devdoc:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 640, "image_height": 502, "name": "RADAX-2010-LOD-image.png", "type": "image/png", "size": 161071, "path": "Publication:RADAX-2010-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image:thumb{{size}}.png" }, { "description": "user documentation", "filetitle": "userdoc", "main_file": false, "use_in_gallery": false, "access": "public", "name": "RADAX-2010-LOD-userdoc.pdf", "type": "application/pdf", "size": 806362, "path": "Publication:RADAX-2010-LOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-userdoc.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-userdoc:thumb{{size}}.png" } ], "projects_workgroups": [ "GAMEWORLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/", "__class": "Publication" }, { "id": "scharl-master-thesis", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Artist-Controlled Modeling of Urban Environments", "date": "2010-07", "abstract": "Creating large-scale virtual environments for interactive applications such\nas computer games poses a demanding challenge for computer graphics.\nUrban environments are usually hand-crafted by artists using commercial\n3D modeling software. For today’s detail-rich games, this becomes less and\nless feasible. Procedural modeling techniques strive to help artists to create\nvirtual worlds in less time.\nIn this thesis, I present a system that helps artists and game designers\nto plan, layout and model urban environments for games and other media.\nMethods are described to create street networks manually and procedurally\nand to edit them interactively at any time in the development process. A\nstable street tessellation technique is employed that is able to represent street\nsegments as well as crossings connecting an arbitrary number of streets and\nthat adapts to the underlying terrain. Furthermore, I propose a constraint\nbased method to automatically populate a city with buildings from a set of\nexisting building models.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "Result from a Manhattan-like scene created with the methods described in this thesis.", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 732, "image_height": 452, "name": "scharl-master-thesis-image.png", "type": "image/png", "size": 484871, "path": "Publication:scharl-master-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 781 ], "date_end": "2010-07-21", "date_start": 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"https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/", "__class": "Publication" }, { "id": "unterguggenberger-2010-cmph", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Connected meshes for procedural humans", "date": "2010", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 460, "image_height": 343, "name": "unterguggenberger-2010-cmph-image.jpg", "type": "image/jpeg", "size": 9549, "path": "Publication:unterguggenberger-2010-cmph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 848 ], "date_end": "2010-12-03", "date_start": "2010-01-13", "matrikelnr": "0721639", "supervisor": [ 1303 ], "research_areas": [], "keywords": [ "shape grammars, connectivity, procedural" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 460, "image_height": 343, "name": "unterguggenberger-2010-cmph-image.jpg", "type": "image/jpeg", "size": 9549, "path": "Publication:unterguggenberger-2010-cmph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image:thumb{{size}}.png" }, { "description": null, "filetitle": "report", "main_file": true, 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"birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", 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"erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Landspotting", "workgroup_id": "rend", "drupal_id": 4240, "drupal_path": "/research/projects/Landspotting", "name": "Landspotting - Creating Games for Improving Land Cover", "name_de": null, "short_title": "Landspotting", "website": null, "status": "active", "short_abstract": "Social gaming to collect vast amounts of data for satellite validation ", "abstract": "At present there is no single satellite-derived global land cover product that is accurate enough to provide reliable estimates of forest or cropland area to determine, for example, how much additional land is available to grow biofuels or to tackle problems of food security. This project aims to improve the quality of this land cover information by vastly increasing the amount of in-situ validation data available for calibration and validation of satellite-derived land cover. \n\nThe Geo-Wiki (Geo-Wiki.org) system currently allows users to compare three satellite derived land cover products and validate them using Google Earth. However, there is presently no incentive for anyone to provide this data so the amount of validation through Geo-Wiki has so far been quite limited. The LandSpotting project will take a truly innovative approach by the addition of crowdsourcing through the development of a game. The game will engage users whilst simultaneously collecting a large amount of in-situ land cover information. The development of the game will be informed by the current raft of successful social gaming that is available on the internet and as mobile applications, many of which are geo-spatial in nature.\n\nAt the same time, the Geo-Wiki system will be modified to exploit the latest available satellite images and to use the acquired in-situ validation information to create new outputs: a hybrid land cover map, which takes the best information from each individual product to create a single integrated version; a database of validation points that will be freely available to the land cover user community; and a facility that allows users to create a specific targeted validation area, which will then be provided to the crowdsourcing community for validation. These outputs will turn Geo-Wiki into a valuable system for many users of land cover. \n", "start_date": "2011-02-01", "end_date": "2012-07-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", 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"WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Wimmer-thesis", "wonka-2000-VisP", "wonka-2000-VisX", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "xmas-2023", "ymca", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "publications_first": [], "project_leader": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d4307", "d4314", "d4342", "d4386", "d4559", "d4729", "d4958", "d4984", "d9259", "Desiree", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "REPLICATE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "TERAPOINTS", "Treelumination", "UrbanViz", "Wohnen 4.0" ], "publication_field": [ { "publ_id": "ADORJAN-2013-ASE", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Adorjan-2015", "field_id": "supervisor", "ordernum": 1 }, { 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "Fritz-2012", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Landspotting: Social gaming to collect vast amounts of data for satellite validation", "date": "2012-04-23 16:00", "abstract": "At present there is no single satellite-derived global land cover product that is accurate enough to provide reliable estimates of forest or cropland area to determine, e.g., how much additional land is available to grow biofuels or to tackle problems of food security. The Landspotting Project aims to improve the quality of this land cover information by vastly increasing the amount of in-situ validation data available for calibration and validation of satellite-derived land cover. \r\nThe Geo-Wiki (Geo-Wiki.org) system currently allows users to compare three satellite derived land cover products and validate them using Google Earth. However, there is presently no incentive for anyone to provide this data so the amount of validation through Geo-Wiki has been limited. However, recent competitions have proven that incentive driven campaigns can rapidly create large amounts of input.\r\nThe LandSpotting Project is taking a truly innovative approach through the development of the Landspotting game. The game engages users whilst simultaneously collecting a large amount of in-situ land cover information. The development of the game is informed by the current raft of successful social gaming that is available on the internet and as mobile applications, many of which are geo-spatial in nature. Games that are integrated within a social networking site such as Facebook illustrate the power to reach and continually engage a large number of individuals. The number of active Facebook users is estimated to be greater than 400 million, where 100 million are accessing Facebook from mobile devices.\r\nThe Landspotting Game has similar game mechanics as the famous strategy game \"Civilization\" (i.e. build, harvest, research, war, diplomacy, etc.). When a player wishes to make a settlement, they must first classify the land cover over the area they wish to settle. As the game is played on the earth surface with Google Maps, we are able to record and store this land cover/land use classification geographically. Every player can play the game for free (i.e. a massive multiplayer online game). Furthermore, it is a social game on Facebook (e.g. invite friends, send friends messages, purchase gifts, help friends, post messages onto the wall, etc). The game is played in a web browser, therefore it runs everywhere (where Flash is supported) without requiring the user to install anything additional.\r\nAt the same time, the Geo-Wiki system will be modified to use the acquired in-situ validation information to create new outputs: a hybrid land cover map, which takes the best information from each individual product to create a single integrated version; a database of validation points that will be freely available to the land cover user community; and a facility that allows users to create a specific targeted validation area, which will then be provided to the crowdsourcing community for validation. These outputs will turn Geo-Wiki into a valuable system for earth system scientists.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "Landspotting", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 186, "image_height": 100, "name": "Fritz-2012-.jpg", "type": "image/jpeg", "size": 5070, "path": "Publication:Fritz-2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 988, 313, 989, 990, 193, 909, 667, 991, 992, 993, 1000, 995, 996, 997, 998, 999 ], "event": "European Geosciences Union General Assembly 2012", "lecturer": [ 988 ], "location": "Austria Center Vienna, Session ESSI2.9, room 7 ", "research_areas": [], "keywords": [ "Social Games with Purpose", "Landspotting" ], "weblinks": [], "files": [ { "description": "Landspotting", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 186, "image_height": 100, "name": "Fritz-2012-.jpg", "type": "image/jpeg", "size": 5070, "path": "Publication:Fritz-2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-:thumb{{size}}.png" }, { "description": "", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Fritz-2012-abstract.pdf", "type": "application/pdf", "size": 36130, "path": "Publication:Fritz-2012", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-abstract:thumb{{size}}.png" } ], "projects_workgroups": [ "Landspotting" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/", "__class": "Publication" }, { "id": "pangerl_2013_GPD", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Games with a Purpose: Design and implementation of serious games to determine the global land cover", "date": "2013-03", "abstract": "Remote sensing of land cover has, not at least because of the rapidly growing world population, gained scientific and economic importance. Several international projects have aimed to determine and map out the global land cover. Unfortunately the results of remote sensing projects such as GLC-2000, MODIS or GlobCover are often ambiguous or have significant differences.\r\n\r\nThe project Geo-Wiki.org examines the results of that remote sensing projects and tries to validate them with the help of volunteers. This task requires a large amount of participants. Among\r\nother, competitions animate volunteers to contribute to the crowdsourcing project. To motivate volunteers to participate in the remote sensing of land cover is one of the key aspects within the Geo-Wiki.org project. One approach to reach new users for the project is to develop computer\r\ngames that implement the classification of land cover areas as part of the game.\r\nThe project Landspotting is a platform that aims to develop Serious Games for land cover classification. This thesis focuses on the development of a computer game for mobile devices that\r\nimplements the classification of land cover as an integral part. Previous projects such as the game Landspotting for the platform Facebook are presented in the thesis. This games inspired\r\nthe design process. Mobile devices with built-in, touch-sensitive displays offer the possibility to classify the land cover by painting appropriate sections of satellite images on the screen. The results of this categorizations are compared with data provided by the Geo-Wiki.org project. The result of this comparison is the basis for the achieved progress in the game.\r\n\r\nThe as a part of this thesis developed computer game Landspotting was published on the 4th of January 2013. The game was downloaded and installed from a lot of players. The huge\r\namount of land cover data obtained by players illustrates the great potential in the combination of crowdsourcing systems and serious games. The comparison of the data obtained permits both, conclusions about the quality of the results of the developed computer game, as well as on the quality of the results of the Geo-Wiki.org project.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 794, "image_height": 772, "name": "pangerl_2013_GPD-Image.bmp", "type": "image/x-ms-bmp", "size": 1840502, "path": "Publication:pangerl_2013_GPD", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1018 ], "date_start": "2012-05-07", "matrikelnr": "e0526443", "supervisor": [ 909, 193 ], "research_areas": [], "keywords": [ "Landspotting" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 794, "image_height": 772, "name": "pangerl_2013_GPD-Image.bmp", "type": "image/x-ms-bmp", "size": 1840502, "path": "Publication:pangerl_2013_GPD", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pangerl_2013_GPD-Poster.pdf", "type": "application/pdf", "size": 5758831, "path": "Publication:pangerl_2013_GPD", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "pangerl_2013_GPD-Thesis.pdf", "type": "application/pdf", "size": 19374012, "path": "Publication:pangerl_2013_GPD", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Landspotting" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/", "__class": "Publication" }, { "id": "STURN-2013-LGI", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Landspotting - Games for Improving Global Land Cover", "date": "2013-05", "abstract": "Current satellite-derived land cover products, which are very important for answering many crucial questions, show huge disagreements. In this paper, we introduce four serious game prototypes - a Facebook strategy game played on Google Maps, a Facebook tagging game, a tower-defense game, and an aesthetic tile game for the iPad - with the purpose of improving global land cover data. We describe the games in detail and discuss the design decisions we made and challenges we faced while developing the games. We evaluate how much the players have already been able to improve global land cover data and provide evidence that games can be a useful way to increase the quality of this data. 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"kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "GPV", "workgroup_id": "rend", "drupal_id": 4242, "drupal_path": "/research/projects/GPV", "name": "General Purpose Visibility", "name_de": null, "short_title": "GPV", "website": null, "status": "active", "short_abstract": "
Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "abstract": "Visibility culling is a fundamental problem of computer graphics, and is of crucial importance for many applications, like game development or architectural design. For example, interactively rendering a model containing hundreds of millions of polygons like the Boeing 777 model shown on the cover page is only possible when invisible parts of the model are \"culled\" away. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Amazingly, most approaches still have more or less serious issues that prevent their widespread use. Preprocessed visibility solutions attempt to solve the problem in an offline step, but are often slow, lack robustness, and are hard to implement. Online culling algorithms have a lot of potential since they can be used on arbitrary scenes, but they induce an overhead during rendering which is unacceptable for applications that strive for optimal performance. We believe that basic research problems remain unsolved until this day for preprocessed visibility as well as for online culling, and the goal of this project is to tackle and solve the majority of these problems. In order to do this, we have to gain more insight into the complex properties of visibility, which are still not entirely understood. Our proposed methods have applications in various fields, like game development, architectural design, urban visualization, or massive model visualization.
\r\n", "start_date": "2008-05-01", "end_date": "2011-04-30", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", 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"supervisor", "ordernum": 0 }, { "publ_id": "zeilinger_matthias-2020-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka_Matthias-2023-MatLabOptInterface", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka-2024-FTS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Zezulka-2025-NRL", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Zezulka-2026-FGTS", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Zezulka-2026-GridThermalSim", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "zhang-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ZL_2011_IVIG", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zsolnai-feher-thesis-2019", "field_id": "supervisor", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=193", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:GPV", "type": "image/png", "size": 335472, "orig_name": "logo.png", 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"id": "Treelumination", "contract_number": "P17261-N04", "comment": null }, { "id": "UrbanViz", "contract_number": null, "comment": null }, { "id": "ViMaL", "contract_number": "P 21695-N23", "comment": null }, { "id": "VISAR", "contract_number": "P 24597-N23", "comment": null }, { "id": "Visual Computing", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=fwf", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "beham_2009.2009-EVS", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Enhancing Vienna Scene", "date": "2009", "abstract": "Enhancing the Vienna scene for the FriendlyCulling occlusion culling application with dynamic objects.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 816, 815 ], "date_end": "2010-04-29", "date_start": "2009-07", "matrikelnr": "e0726417, e0627715 ", "supervisor": [ 326 ], "research_areas": [], "keywords": [ "Occlusion Culling", "Modelling", "Maya" ], "weblinks": [], "files": [], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/beham_2009.2009-EVS/", "__class": "Publication" }, { "id": "bernhard-2010-gph", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "An Empirical Pipeline to Derive Gaze Prediction Heuristics for 3D Action Games", "date": "2010-10", "abstract": "Gaze analysis and prediction in interactive virtual environments, such as games, is a challenging topic since the 3D perspective and variations of the viewpoint as well as the current task introduce many variables that affect the distribution of gaze. In\r\nthis article, we present a novel pipeline to study eye-tracking data acquired from interactive 3D applications. The result of the\r\npipeline is an importance map which scores the amount of gaze spent on each object. This importance map is then used as a heuristic to predict a user’s visual attention according to the object properties present at runtime. The novelty of this approach is that the analysis is performed in object space and the importance map is defined in the feature space of high-level properties. High-level properties are used to encode task relevance and other attributes, such as eccentricity, which may have an impact on gaze behavior.\r\n\r\nThe pipeline has been tested with an exemplary study on a first-person shooter game. In particular, a protocol is presented describing the data acquisition procedure, the learning of different importance maps from the data, and finally an evaluation of the performance of the derived gaze predictors. A metric measuring the degree of correlation between attention predicted by the importance map and the actual gaze yielded clearly positive results. The correlation becomes particularly strong when the player is attentive to an in-game task.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1740, "image_height": 657, "name": "bernhard-2010-gph-teaser.JPG", "type": "image/jpeg", "size": 113142, "path": "Publication:bernhard-2010-gph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 731, 193 ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "number": "1", "pages_from": "4:1", "pages_to": "4:30", "volume": "8", "research_areas": [], "keywords": [ "gaze predictor", "video games", "virtual environments", "eye-tracking", "gaze analysis" ], "weblinks": [ { "href": "http://doi.acm.org/10.1145/1857893.1857897", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bernhard-2010-gph-draft.pdf", "type": "application/pdf", "size": 10856635, "path": "Publication:bernhard-2010-gph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-draft:thumb{{size}}.png" }, { "description": "", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1740, "image_height": 657, "name": "bernhard-2010-gph-teaser.JPG", "type": "image/jpeg", "size": 113142, "path": "Publication:bernhard-2010-gph", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/", "__class": "Publication" }, { "id": "bernhard-2011-bmtf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Bi-modal Task Faciliation in a Virtual Traffic Scenario through Spatialized Sound Rendering ", "date": "2011-11", "abstract": "Audio rendering is generally used to increase the realism of Virtual Environments (VE). In addition, audio rendering may also improve the performance in specific tasks carried out in interactive applications such as games or simulators.\n\nIn this paper we investigate the effect of the quality of sound rendering on task performance in a task which is inherently vision dominated. The task is a virtual traffic gap crossing scenario with two elements: first, to discriminate crossable and uncrossable gaps in oncoming traffic, and second, to find the right timing to start crossing the street without an accident.\n\nA study was carried out with 48 participants in an immersive Virtual Environment setup with a large screen and headphones. Participants were grouped into three different conditions. In the first condition, spatialized audio rendering with head-related transfer function (HRTF) filtering was used. The second group was tested with conventional stereo rendering, and the remaining group ran the experiment in a mute condition.\n\nOur results give a clear evidence that spatialized audio improves task performance compared to the unimodal mute condition. Since all task-relevant information was in the participants' field-of-view, we conclude that an enhancement of task performance results from a bimodal advantage due to the integration of visual and auditory spatial cues.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "bernhard-2011-bmtf-image.jpg", "type": "image/jpeg", "size": 231255, "path": "Publication:bernhard-2011-bmtf", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 838, 193 ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "note": "Article No. 24", "number": "4", "pages_from": "1", "pages_to": "22", "volume": "8", "research_areas": [ "Rendering" ], "keywords": [ "bimodal task faciliation", "pedestrian safety", "virtual environments", "audio-visual perception", "head related transfer functions" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2043606&CFID=76205769&CFTOKEN=78897554", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "bernhard-2011-bmtf-draft.pdf", "type": "application/pdf", "size": 10940015, "path": "Publication:bernhard-2011-bmtf", "preview_name": "bernhard-2011-bmtf-draft:preview.png", "preview_type": "application/pdf", "preview_size": 14528250, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "bernhard-2011-bmtf-image.jpg", "type": "image/jpeg", "size": 231255, "path": "Publication:bernhard-2011-bmtf", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png" } ], "projects_workgroups": [ "CROSSMOD", "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/", "__class": "Publication" }, { "id": "bernhard-2011-maicg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Manipulating Attention in Computer Games", "date": "2011-06", "abstract": "In computer games, a user’s attention is focused on the current task, and task-irrelevant details remain unnoticed. This behavior, known as inattentional blindness, is a main problem for the optimal placement of information or advertisements. We propose a guiding principle based on Wolfe’s theory of Guided Search, which predicts the saliency of objects during a visual search task. Assuming that computer games elicit visual search tasks frequently, we applied this model in a “reverse” direction: Given a target item (e.g., advertisement) which should be noticed by the user, we choose a frequently searched game item and modify it so that it shares some perceptual features (e.g., color or orientation) with the target item. A memory experiment with 36 participants showed that in an action video game, advertisements were more noticeable to users when this method is applied.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 839, 193 ], "booktitle": "Proceedings of the IEEE IVMSP Workshop on Perception and Visual Signal Analysis", "date_from": "2011-06-16", "date_to": "2011-06-17", "isbn": "9781457712852", "lecturer": [ 660 ], "location": "Ithaca, NY", "pages_from": "153", "pages_to": "158", "publisher": "IEEE", "research_areas": [ "Perception" ], "keywords": [ "saliency", "attention guidance", "inattentional blindness", "in-game advertising", "guided search" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bernhard-2011-maicg-paper.pdf", "type": "application/pdf", "size": 2337253, "path": "Publication:bernhard-2011-maicg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bernhard-2011-maicg-presentation.ppt", "type": "application/vnd.ms-office", "size": 12238336, "path": "Publication:bernhard-2011-maicg", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-presentation.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/", "__class": "Publication" }, { "id": "BITTNER-2009-AGVS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Adaptive Global Visibility Sampling", "date": "2009-08", "abstract": "In this paper we propose a global visibility algorithm which computes from-region visibility for all view cells simultaneously in a progressive manner. We cast rays to sample visibility interactions and use the information carried by a ray for all view cells it intersects. The main contribution of the paper is a set of adaptive sampling strategies based on ray mutations that exploit the spatial coherence of visibility. Our method achieves more than an order of magnitude speedup compared to per-view cell sampling. This provides a practical solution to visibility preprocessing and also enables a new type of interactive visibility analysis application, where it is possible to quickly inspect and modify a coarse global visibility solution that is constantly refined.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 729, "name": "BITTNER-2009-AGVS-.jpg", "type": "image/jpeg", "size": 468604, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 198, 326, 194, 203, 193 ], "date_from": "2009-08-03", "date_to": "2009-08-07", "event": "ACM SIGGRAPH 2009", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 198, 326 ], "location": "New Orleans, LA", "number": "3", "pages_from": "94:1", "pages_to": "94:10", "volume": "28", "research_areas": [ "Rendering" ], "keywords": [ "occlusion culling", "visibility sampling", "visibility", "PVS" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=1576246.1531400&coll=DL&dl=ACM&CFID=254151241&CFTOKEN=20753570", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 729, "name": "BITTNER-2009-AGVS-.jpg", "type": "image/jpeg", "size": 468604, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-:thumb{{size}}.png" }, { "description": "Video showing the dynamic update functionality", "filetitle": "dynamic updates", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 100, "preview_image_height": 75, "name": "BITTNER-2009-AGVS-dynamic updates.avi", "type": "video/x-msvideo", "size": 29171852, "path": "Publication:BITTNER-2009-AGVS", "preview_name": "BITTNER-2009-AGVS-dynamic updates:preview.png", "preview_type": "image/png", "preview_size": 9718, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-dynamic updates.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-dynamic updates:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-dynamic updates:video.mp4" }, { "description": "GVS vs. AGVS comparison", "filetitle": "GVS vs. AGVS", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 100, "preview_image_height": 75, "name": "BITTNER-2009-AGVS-GVS vs. AGVS.avi", "type": "video/x-msvideo", "size": 8880834, "path": "Publication:BITTNER-2009-AGVS", "preview_name": "BITTNER-2009-AGVS-GVS vs. AGVS:preview.png", "preview_type": "image/png", "preview_size": 9227, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-GVS vs. AGVS.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-GVS vs. AGVS:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-GVS vs. AGVS:video.mp4" }, 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"access": "public", "name": "BITTNER-2009-AGVS-Preprint.pdf", "type": "application/pdf", "size": 8639799, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-Preprint:thumb{{size}}.png" }, { "description": "reference method vs. AGVS comparison", "filetitle": "REF vs. AGVS", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 100, "preview_image_height": 75, "name": "BITTNER-2009-AGVS-REF vs. AGVS.avi", "type": "video/x-msvideo", "size": 20441642, "path": "Publication:BITTNER-2009-AGVS", "preview_name": "BITTNER-2009-AGVS-REF vs. AGVS:preview.png", "preview_type": "image/png", "preview_size": 4984, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-REF vs. AGVS.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-REF vs. AGVS:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-REF vs. AGVS:video.mp4" }, { "description": "Render cost visualization", "filetitle": "rendercost1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1664, "image_height": 978, "name": "BITTNER-2009-AGVS-rendercost1.png", "type": "image/png", "size": 116768, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost1:thumb{{size}}.png" }, { "description": "Render cost from a single view cell", "filetitle": "rendercost2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1662, "image_height": 983, "name": "BITTNER-2009-AGVS-rendercost2.png", "type": "image/png", "size": 203766, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost2:thumb{{size}}.png" }, { "description": "fast forward", "filetitle": "slides-ff", "main_file": false, "use_in_gallery": false, "access": "public", "name": "BITTNER-2009-AGVS-slides-ff.ppt", "type": "", "size": 865792, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-slides-ff.ppt", "thumb_image_sizes": [] }, { "description": "given version", "filetitle": "slides-talk", "main_file": false, "use_in_gallery": false, "access": "public", "name": "BITTNER-2009-AGVS-slides-talk.pptx", "type": "application/zip", "size": 11751394, "path": "Publication:BITTNER-2009-AGVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-slides-talk.pptx", "thumb_image_sizes": [] }, { "description": "AGVS-generated PVS", "filetitle": "vienna walkthrough", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 100, "preview_image_height": 75, "name": "BITTNER-2009-AGVS-vienna walkthrough.avi", "type": "video/x-msvideo", "size": 36315704, "path": "Publication:BITTNER-2009-AGVS", "preview_name": "BITTNER-2009-AGVS-vienna walkthrough:preview.png", "preview_type": "image/png", "preview_size": 22688, "url": 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The method reduces the number of required state changes and should integrate easily with most game engines. The key ideas are batching of the queries and interfacing with the game engine using a dedicated render queue. We also present some additional optimizations which reduce the number of queries issued as well as the number of rendered primitives. 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VRAM gehalten werden können. Die Entwicklung solcher Out-of-Core Algorithmen wird durch die immer weiter steigende Anzahl an Polygonen detaillierter Szenen erforderlich. Mögliche Quellen derartiger Modelle sind Konstruktion von z.B. Flug- und Fahrzeugen oder Gebäuden, aber auch Messungen mittels 3D Scannern produzieren solch große Datenmengen. Das Darstellen dieser großen Datensätze in Echtzeit ist vor allem für interaktive Anwendungen wichtig.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1281, "image_height": 333, "name": "ERNST-2010-IOOC-image.jpg", "type": "image/jpeg", "size": 270688, "path": "Publication:ERNST-2010-IOOC", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 793, 794, 795 ], "date_end": "2010-03-25", "date_start": "2009-07-10", "matrikelnr": "0625316,0625181,0625652", "supervisor": [ 326, 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": 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Peters", "research_areas": [ "Rendering" ], "keywords": [ "ambient occlusion" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image-sibenik", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "matt2011-image-sibenik.png", "type": "image/png", "size": 891767, "path": "Publication:matt2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik:thumb{{size}}.png" }, { "description": "convergence-aware filter", "filetitle": "image-tssao-filter", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 640, "name": "matt2011-image-tssao-filter.png", "type": "image/png", "size": 243838, "path": "Publication:matt2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-filter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-filter:thumb{{size}}.png" }, { "description": "no filtering used", "filetitle": "image-tssao-no-filter", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 700, "image_height": 640, "name": "matt2011-image-tssao-no-filter.png", "type": "image/png", "size": 1346876, "path": "Publication:matt2011", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-no-filter.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-no-filter:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/", "__class": "Publication" }, { "id": "mattausch-2010-tao", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "High-Quality Screen-Space Ambient Occlusion using Temporal Coherence", "date": "2010-12", "abstract": "Ambient occlusion is a cheap but effective approximation of global illumination. Recently, screen-space ambient\nocclusion (SSAO) methods, which sample the frame buffer as a discretization of the scene geometry, have become\nvery popular for real-time rendering. We present temporal SSAO (TSSAO), a new algorithm which exploits\ntemporal coherence to produce high-quality ambient occlusion in real time. Compared to conventional SSAO,\nour method reduces both noise as well as blurring artifacts due to strong spatial filtering, faithfully representing\nfine-grained geometric structures. Our algorithm caches and reuses previously computed SSAO samples, and\nadaptively applies more samples and spatial filtering only in regions that do not yet have enough information\navailable from previous frames. The method works well for both static and dynamic scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": "ssao", "filetitle": "image-buddha", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 722, "name": "mattausch-2010-tao-image-buddha.png", "type": "image/png", "size": 994420, "path": "Publication:mattausch-2010-tao", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326, 452, 193 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "8", "pages_from": "2492", "pages_to": "2503", "volume": "29", "research_areas": [ "Rendering" ], "keywords": [ "temporal coherence", "ambient occlusion", "real-time rendering" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2010.01784.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": { "1": { "description": "ssao", "filetitle": "image-buddha", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 458, "image_height": 722, "name": "mattausch-2010-tao-image-buddha.png", "type": "image/png", "size": 994420, "path": "Publication:mattausch-2010-tao", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha:thumb{{size}}.png" }, "2": { "description": "convergence", "filetitle": "image-knight", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 422, 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"Publication:mattausch-2010-tao", "preview_name": "mattausch-2010-tao-video-vienna:preview.png", "preview_type": "image/jpeg", "preview_size": 32020, "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-vienna.mov", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-vienna:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-vienna:video.mp4" } }, "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/", "__class": "Publication" }, { "id": "mattausch-2010-var", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Visibility Algorithms for Real-Time Rendering", "date": "2010", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "mattausch-2010-var-.png", "type": "image/png", "size": 2363943, "path": "Publication:mattausch-2010-var", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326 ], "isbn": "978-3-8381-1887-1", "pages": "212", "publisher": "Suedwestdeutscher Verlag fuer Hochschulschriften", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "occlusion culling ", "ambient occlusion", "visibility" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "mattausch-2010-var-.png", "type": "image/png", "size": 2363943, "path": "Publication:mattausch-2010-var", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/", "__class": "Publication" }, { "id": "Mattausch-2010-vcr", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Visibility Computations for Real-Time Rendering in General 3D Environments", "date": "2010-04", "abstract": "Visibility computations are essential operations in computer graphics, which\nare required for rendering acceleration in the form of visibility culling, as well as for computing realistic lighting. Visibility culling, which is the main focus of this thesis, aims to provide output sensitivity by sending only visible primitives to the hardware. Regardless of the rapid development of graphics hardware, it is of crucial importance for many applications like game development or architectural design, as the demands on the hardware regarding scene complexity increase accordingly. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Interestingly, there are\nstill open research problems up to this day, and many algorithms are either impractical or only usable for specific scene configurations, preventing their widespread use. Visibility culling algorithms can be separated into algorithms for visibility preprocessing and online occlusion culling. Visibility computations are also required to solve complex lighting interactions in the scene, ranging from soft and hard shadows to ambient occlusion and full fledged global illumination. It is a big challenge to answer hundreds or thousands of visibility queries within a fraction\nof a second in order to reach real-time frame rates, which is one goal that we want to achieve in this thesis. The contribution of this thesis are four novel algorithms that provide solutions\nfor efficient visibility interactions in order to achieve high-quality output-sensitive real-time rendering, and are general in the sense that they work with any kind of 3D scene configuration. First we present two methods dealing with the issue of\nautomatically partitioning view space and object space into useful entities that are optimal for the subsequent visibility computations. Amazingly, this problem area was mostly ignored despite its importance, and view cells are mostly tweaked by hand in practice in order to reach optimal performance – a very time consuming task. The first algorithm specifically deals with the creation of an optimal view space partition into view cells using a cost heuristics and sparse visibility sampling. The second algorithm extends this approach to optimize both view space subdivision and object space subdivision simultaneously. Next we present a hierarchical online culling algorithm that eliminates most limitations of previous approaches, and is rendering engine friendly in the sense that it allows easy integration\nand efficient material sorting. It reduces the main problem of previous\nalgorithms – the overhead due to many costly state changes and redundant hardware occlusion queries – to a minimum, obtaining up to three times speedup over previous work. At last we present an ambient occlusion algorithm which works in screen space, and show that high-quality shading with effectively hundreds of samples per pixel is possible in real time for both static and dynamic scenes by utilizing temporal coherence to reuse samples from previous frames.", "authors_et_al": false, "substitute": null, "main_image": { "description": "temporal ssao on stanford dragon", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Mattausch-2010-vcr-image.png", "type": "image/png", "size": 2363943, "path": "Publication:Mattausch-2010-vcr", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image:thumb{{size}}.png" }, "sync_repositum_override": null, 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ssao convergence on animated character", "filetitle": "convergence", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 422, "image_height": 535, "name": "Mattausch-2010-vcr-convergence.png", "type": "image/png", "size": 678997, "path": "Publication:Mattausch-2010-vcr", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-convergence.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-convergence:thumb{{size}}.png" }, { "description": "Our engine combines occlusion culling + SSAO + shadows", "filetitle": "engine", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 873, "image_height": 728, "name": "Mattausch-2010-vcr-engine.png", "type": "image/png", "size": 799640, "path": "Publication:Mattausch-2010-vcr", "url": 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"__class": "Publication" }, { "id": "MAYER-2010-MTX", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Megatexture", "date": "2010", "abstract": "To generate high-quality output realtime-rendering applications or games commonly need more\r\ntexture data than can be simultaneously held in graphics- or even in main-memory, using virtual texturing.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "result", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1032, "image_height": 698, "name": "MAYER-2010-MTX-result.png", "type": "image/png", "size": 1263812, "path": "Publication:MAYER-2010-MTX", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 796 ], "date_end": "2010-02-15", "date_start": "2009-07-15", "matrikelnr": "0126505", "supervisor": [ 193, 326 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "documentation", "filetitle": "doc", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MAYER-2010-MTX-doc.pdf", "type": "application/pdf", "size": 95724, "path": "Publication:MAYER-2010-MTX", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-doc.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-doc:thumb{{size}}.png" }, { "description": "", "filetitle": "result", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1032, "image_height": 698, "name": "MAYER-2010-MTX-result.png", "type": "image/png", "size": 1263812, "path": "Publication:MAYER-2010-MTX", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/", "__class": "Publication" }, { "id": "praeauer-2011-et", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Preparing an Eyetracking Experiment with a Computer Game", "date": "2011", "abstract": "The goal was to establish a methodology to record, playback and analyze gaze-data in 2D action games. Therefore a computer game was extended with functionality to record game states and control an eye-tracker. Further analysis software was implemented to map fixations back to game objects to derive fixation counts per object.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 799, "image_height": 631, "name": "praeauer-2011-et-image.png", "type": "image/png", "size": 605181, "path": "Publication:praeauer-2011-et", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 914, 915 ], "date_end": "2011-09-30", "date_start": "2011-03-10", "matrikelnr": "0728095, 0728098", "supervisor": [ 660 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 799, "image_height": 631, "name": "praeauer-2011-et-image.png", "type": "image/png", "size": 605181, "path": "Publication:praeauer-2011-et", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image:thumb{{size}}.png" }, { "description": "Dokumentation", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "praeauer-2011-et-report.pdf", "type": "application/pdf", "size": 1739446, "path": "Publication:praeauer-2011-et", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-report:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/", "__class": "Publication" }, { "id": "radax-2010-RTL", "type_id": "archiveproject", "tu_id": null, "repositum_id": null, "title": "Real-time rendering of large scenes", "date": "2010", "abstract": "NOTE: this master thesis was CANCELLED!\r\n\r\nRendering large scenes like the Boeing model in real time is a challenge even on todays hardware. Visibility culling alone is not sufficient to achieve this goal. Out-of-core rendering to manage the enourmous amount of memory is required as well as simplification techniques like LODs.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 721 ], "date_end": "2010-09-01", "date_start": "2010-03-24", "matrikelnr": "e9999999", "supervisor": [ 326 ], "research_areas": [], "keywords": [ "LODs", "prefetching", "real-time-rendering", "large scenes", "out-of-core" ], "weblinks": [], "files": [], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/radax-2010-RTL/", "__class": "Publication" }, { "id": "radits_2011_gahdr", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "A gaze adaptive HDR image viewer", "date": "2011", "abstract": "An HDR image viewer was implemented which adjusts a global tonemapper by analysing local image features at the position of a user's gaze. In the developed prototype the gaze position was specified by the mouse. However, the system was designed to be connected to an eye-tracker in future projects. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 354, "image_height": 437, "name": "radits_2011_gahdr-image.png", "type": "image/png", "size": 46136, "path": "Publication:radits_2011_gahdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 888 ], "date_end": "2011-03", "date_start": "2010-11", "matrikelnr": "0005880", "supervisor": [ 660 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Documentation", "filetitle": "documentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "radits_2011_gahdr-documentation.pdf", "type": "application/pdf", "size": 792908, "path": "Publication:radits_2011_gahdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-documentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-documentation:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 354, "image_height": 437, "name": "radits_2011_gahdr-image.png", "type": "image/png", "size": 46136, "path": "Publication:radits_2011_gahdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image:thumb{{size}}.png" }, { "description": "", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "radits_2011_gahdr-report.pdf", "type": "application/pdf", "size": 645945, "path": "Publication:radits_2011_gahdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-report:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/", "__class": "Publication" }, { "id": "REINALTER_2010_VIS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Visibility in a real-world cross-platform game engine", "date": "2010", "abstract": "With hardware capabilities and customer expectations rising every new game\r\nconsole generation, e\u000ecient visibility algorithms become a more and more\r\ncrucial part of every modern rendering engine. Although GPUs built into the\r\nconsoles become better each generation, game developers are always striving\r\nto get more performance and better quality out of a game console. Therefore\r\nit is a must to employ powerful visibility algorithms which allow the developers\r\nto render more complex scenes while maintaining smooth framerates.\r\nThis thesis explores whether current state-of-the-art visibility algorithms\r\ncan be used on game consoles, and describes the layers of abstraction needed\r\nin developing a multi-platform rendering engine.\r\nTherefore, the \frst part of the thesis focuses on the design and implementation\r\nof a rendering engine for major current-gen platforms, such as\r\nMicrosoft Windows, the Microsoft XBox360, Sony's PlayStation 3 and the\r\nNintendo Wii, dealing with the vastly di\u000berent platform architectures. Furthermore,\r\nsolutions to engine design problems related to both hardware capabilities\r\nas well as software engineering practices are explored. Concluding\r\nthe \frst part, prerequisites and building blocks for implementing visibility\r\nalgorithms are developed.\r\nThe second part of the thesis concentrates on developing and integrating\r\nvisibility algorithms into the aforementioned engine, building upon the\r\ncomponents introduced in the \frst part. The used visibility algorithms are\r\nenhanced and tailored to speci\fc hardware needs and capabilities, getting\r\nthe most performance out of game consoles. Finally, results and possible improvements\r\nand future enhancements for current state-of-the-art algorithms\r\nconclude this thesis.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 642, "name": "REINALTER_2010_VIS-Image.jpg", "type": "image/jpeg", "size": 1008569, "path": "Publication:REINALTER_2010_VIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 738 ], "date_start": "2007-09-01", "matrikelnr": "0225790", "supervisor": [ 193 ], "research_areas": [], "keywords": [ "Cross-Platform", "Real-Time Rendering", "Visibility" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 642, "name": "REINALTER_2010_VIS-Image.jpg", "type": "image/jpeg", "size": 1008569, "path": "Publication:REINALTER_2010_VIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "REINALTER_2010_VIS-poster.pdf", "type": "application/pdf", "size": 3640395, "path": "Publication:REINALTER_2010_VIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-poster:thumb{{size}}.png" }, { "description": "", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "REINALTER_2010_VIS-Thesis.pdf", "type": "application/pdf", "size": 14226095, "path": "Publication:REINALTER_2010_VIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/", "__class": "Publication" }, { "id": "scherzer2011c", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "A Survey on Temporal Coherence Methods in Real-Time Rendering", "date": "2011", "abstract": "Nowadays, there is a strong trend towards rendering to higher-resolution displays and at high frame rates. This development aims at delivering more detail and better accuracy, but it also comes at a significant cost.\nAlthough graphics cards continue to evolve with an ever-increasing amount of computational power, the processing gain is counteracted to a high degree by increasingly complex and sophisticated pixel computations. For real-time applications, the direct consequence is that image resolution and temporal resolution are often the first candidates to bow to the performance constraints (e.g., although full HD is possible, PS3 and XBox often render at lower resolutions).\n\nIn order to achieve high-quality rendering at a lower cost, one can exploit emph{temporal coherence} (TC). The underlying observation is that a higher resolution and frame rate do not necessarily imply a much higher workload, but a larger amount of redundancy and a higher potential for amortizing rendering over several frames. In this STAR, we will investigate methods that make use of this principle and provide practical and theoretical advice on how to exploit temporal coherence for performance optimization. These methods not only allow us to incorporate more computationally intensive shading effects into many existing applications, but also offer exciting opportunities for extending high-end graphics applications to lower-spec consumer-level hardware.\n\nTo this end, we first introduce the notion and main concepts of TC, including an overview of historical methods. We then describe a key data structure, the so-called emph{reprojection cache}, with several supporting algorithms that facilitate reusing shading information from previous frames. Its usefulness is illustrated in the second part of the STAR, where we present various applications. We illustrate how expensive pixel shaders, multi-pass shading effects, stereo rendering, shader antialiasing, shadow casting, and global-illumination effects can profit from pixel reuse. Furthermore, we will see that optimizations for visibility culling and object-space global illumination can also be achieved by exploiting TC.\n\nThis STAR enables the reader to gain an overview of many techniques in this cutting-edge field and provides many insights into algorithmic choices and implementation issues. It delivers working knowledge of how various existing techniques are optimized via data reuse. Another goal of this STAR is to inspire the reader and to raise awareness for temporal coherence as an elegant tool that could be a crucial component to satisfy the recent need for higher resolution and more detailed content.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "scherzer2011c-.png", "type": "image/png", "size": 883179, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 452, 868, 326, 899, 900, 193, 823 ], "booktitle": "EUROGRAPHICS 2011 State of the Art Reports", "location": "Llandudno UK", "pages_from": "101", "pages_to": "126", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "scherzer2011c-.png", "type": "image/png", "size": 883179, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-:thumb{{size}}.png" }, { "description": null, "filetitle": "2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 821, "name": "scherzer2011c-2.png", "type": "image/png", "size": 23874, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-2:thumb{{size}}.png" }, { "description": null, "filetitle": "3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 707, "image_height": 530, "name": "scherzer2011c-3.png", "type": "image/png", "size": 337791, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-3.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-3:thumb{{size}}.png" }, { "description": null, "filetitle": "4", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 707, "image_height": 530, "name": "scherzer2011c-4.png", "type": "image/png", "size": 290541, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-4.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-4:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "scherzer2011c-pdf.pdf", "type": "application/pdf", "size": 18828677, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-pdf:thumb{{size}}.png" }, { "description": "eg-slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "scherzer2011c-slides.rar", "type": "application/x-rar", "size": 94435406, "path": "Publication:scherzer2011c", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-slides.rar", "thumb_image_sizes": [] } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/", "__class": "Publication" }, { "id": "SSMW09", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Real-Time Soft Shadows Using Temporal Coherence", "date": "2009-12", "abstract": "A vast amount of soft shadow map algorithms have been presented in recent years. Most use a single sample hard shadow map together with some clever filtering technique to calculate perceptually or even physically plausible soft shadows. \n\nOn the other hand there is the class of much slower algorithms that calculate physically correct soft shadows by taking and combining many samples of the light.\n\nIn this paper we present a new soft shadow method that combines the benefits of these approaches. It samples the light source over multiple frames instead of a single frame, creating only a single shadow map each frame. Where temporal coherence is low we use spatial filtering to estimate additional samples to create correct and very fast soft shadows.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "SSMW09-teaser.png", "type": "image/png", "size": 1927290, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 452, 678, 326, 193 ], "booktitle": "Advances in Visual Computing: 5th International Symposium on Visual Computing (ISVC 2009)", "date_from": "2009-11-30", "date_to": "2009-12-02", "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Kuno, Y.; Wang, J.; Pajarola, R.; Lindstrom, P.; Hinkenjann, A.; Encarnacao, M.; Silva, C.; Coming, D.", "isbn": "978-3642103308", "lecturer": [ 452 ], "location": "Las Vegas, Nevada, USA", "pages_from": "13", "pages_to": "24", "publisher": "Springer", "series": "Lecture Notes in Computer Science", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "soft shadows" ], "weblinks": [], "files": [ { "description": null, "filetitle": "balken", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1220, "image_height": 1390, "name": "SSMW09-balken.png", "type": "image/png", "size": 3440414, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-balken.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-balken:thumb{{size}}.png" }, { "description": null, "filetitle": "big light source", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 499, "image_height": 560, "name": "SSMW09-big light source.png", "type": "image/png", "size": 527219, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-big light source.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-big light source:thumb{{size}}.png" }, { "description": null, "filetitle": "camel", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1100, "image_height": 900, "name": "SSMW09-camel.png", "type": "image/png", "size": 237138, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-camel.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-camel:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SSMW09-Preprint.pdf", "type": "application/pdf", "size": 14451940, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-Preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "SSMW09-teaser.png", "type": "image/png", "size": 1927290, "path": "Publication:SSMW09", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/", "__class": "Publication" }, { "id": "sundstedt-2013-vag", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Visual Attention and Gaze Behaviour in Games: An Object-Based Approach", "date": "2013-04", "abstract": "This chapter presents state-of-the-art methods that tap the potential of psychophysics for the purpose of understanding game players' behavior. Studying gaze behavior in gaming environments has recently gained momentum as it affords a better understanding of gamers' visual attention. However, while knowing where users are attending in a computer game would be useful at a basic level, it does not provide insight into what users are interested in, or why. An answer to these questions can be tremendously useful to game designers, enabling them to improve gameplay, selectively increase visual fidelity, and optimize the distribution of computing resources. Furthermore, this could be useful in verifying game mechanics, improving game AI and smart positioning of advertisements within games, all being applications widely desirable across the games industry. Techniques are outlined to collect gaze data, and map fixation points back to semantic objects in a gaming environment, enabling a deeper understanding of how players interact with games. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 958, "image_height": 338, "name": "sundstedt-2013-vag-image.png", "type": "image/png", "size": 82333, "path": "Publication:sundstedt-2013-vag", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 730, 660, 731, 732, 193 ], "booktitle": "Game Analytics: Maximizing the Value of Player Data ", "editor": "M. Seif El-Nasr, A. Drachen, A. Canossa, K. 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Visibility can either be precomputed offline, which is a good strategy for static scenes, or calculated at runtime, which avoids precomputation and works well for dynamic scenes. In this presentation, I will cover the latest advances in both of these principal directions. For visibility precomputation, we have shown that sampling is superior to full geometric approaches for practical applications, due to its efficiency and robustness. For online visibility culling, we show how to make the best possible use of hardware occlusion queries without introducing latency and overhead.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2009-02-02", "date_to": "2009-02-04", "event": "14th Computer Vision Winter Workshop (CVWW2009)", "location": "Eibiswald, Austria", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-VCCG/", "__class": "Publication" }, { "id": "ZL_2011_IVIG", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Improving the Visibility of In-Game Advertisements", "date": "2011-05", "abstract": "Computer games have become one of the most important parts of entertainment industry.\r\nDue to a tremendous reach, particularly among important customer groups such as\r\nadolescents and young adults, this media is recently considered as an appealing channel\r\nfor advertising. However, little is known about the effectiveness of advertising in computer\r\ngames. Its interactive nature comes with a fundamental difference in the perception of\r\nadvertisements compared to traditional media such as television. The intense user interaction\r\nin computer games interferes with players’ memory and attention, as players primarily\r\nfocus on the current performed task. Information such as advertisements billboards which\r\nis not directly related to the gaming task remains unnoticed. This behavior, known as inattentional\r\nblindness, is a main problem for the optimal placement of information (e.g.\r\ngame-relevant messages) or advertisements in the game’s virtual environment.\r\nThis thesis will review the history, current methods and issues of advertising in computer\r\ngames. It will particularly discuss the perception of embedded advertisement billboards\r\nand propose one way to break through inattentional blindness, in order to make advertisements\r\nwhich are embedded in an action game’s environment more visible. The underlying\r\napproach is based on Wolfe’s theory of Guided Search, which provides a fairly reliable\r\nmodel for top-down controlled visual attention during visual search tasks. Since computer\r\ngames frequently involve visual search tasks, we hypothesize that this model can be applied\r\nin a “reverse” direction to increase the saliency of some advertisements on a cognitive level,\r\nto get noticed even in the presence of a strong task.To validate this hypothesis, a computer\r\ngame was implemented to conduct a user study for testing the memory effectiveness.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1012, "image_height": 407, "name": "ZL_2011_IVIG-.jpg", "type": "image/jpeg", "size": 50417, "path": "Publication:ZL_2011_IVIG", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-:thumb{{size}}.png" }, "sync_repositum_override": null, 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"celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Sim-CT", "workgroup_id": "vis", "drupal_id": 4244, "drupal_path": "/research/projects/Sim-CT", "name": "Sim-CT: Simulation of an industrial 3D computer tomograph", "name_de": null, "short_title": "Sim-CT", "website": null, "status": "active", "short_abstract": "Die Röntgen-Computertomografie (CT) ist eine sehr gut etablierte Methode in der Medizin, die in den letzten Jahren immer mehr in der Materialforschung und Industrie zum Einsatz kommt. CT ist eine zerstörungsfreie Methode, um Bauteile 3-dimensional zu vermessen und um versteckte Fehler (Risse, Verunreinigungen, Poren,.) in der Tiefe eines Werkstoffes zu detektieren. Bei einem modernen 3D-CT System mit einem a-Si- Matrixdetektor (amorphes Silizium) wird die Qualität der Ergebnisse erheblich von den Messparametern (Röhrenstrom- und Energie, Filter, Position des Messobjektes,.) bestimmt. Diese Einflußgrößen äußern sich in Form von mehr oder weniger stark auftretenden Messartefakten, die das Ergebnis verfälschen können. Bis zu einem gewissen Grad können Artefakte durch Korrekturalgorithmen verringert werden. Diese Korrekturverfahren sind nach wie vor Gegenstand der aktuellen Forschung und sind für 3DCT- Systeme noch nicht in der Praxis brauchbar. Ziel dieses Projekts ist es, Grundlagen für eine vollständige Simulation eines industriellen 3DCTs zu erarbeiten, wenn Geometrie und Material des Messobjektes bekannt sind. Damit können schon vor der CT-Messung die optimalen Messparameter bestimmt und die Artefaktkorrektur durchgeführt werden. Die Projektergebnisse führen zu folgenden Vorteilen: - Besseres Verständnis über das industrielle 3D-CT-System und der Wechselwirkung der Strahlung mit den Einzelkomponenten (insbesondere Werkstück und Detektor) - Verbesserung der CT-Messergebnisse, Reduktion von Artefakten und Fehlmessungen - Ausweitung der Anwendungsfelder von 3D-CT, Erhöhung der Messgenauigkeit", "abstract": "Die Röntgen-Computertomografie (CT) ist eine sehr gut etablierte Methode in der Medizin, die in den letzten Jahren immer mehr in der Materialforschung und Industrie zum Einsatz kommt. CT ist eine zerstörungsfreie Methode, um Bauteile 3-dimensional zu vermessen und um versteckte Fehler (Risse, Verunreinigungen, Poren,.) in der Tiefe eines Werkstoffes zu detektieren. Bei einem modernen 3D-CT System mit einem a-Si- Matrixdetektor (amorphes Silizium) wird die Qualität der Ergebnisse erheblich von den Messparametern (Röhrenstrom- und Energie, Filter, Position des Messobjektes,.) bestimmt. Diese Einflußgrößen äußern sich in Form von mehr oder weniger stark auftretenden Messartefakten, die das Ergebnis verfälschen können. Bis zu einem gewissen Grad können Artefakte durch Korrekturalgorithmen verringert werden. Diese Korrekturverfahren sind nach wie vor Gegenstand der aktuellen Forschung und sind für 3DCT- Systeme noch nicht in der Praxis brauchbar. Ziel dieses Projekts ist es, Grundlagen für eine vollständige Simulation eines industriellen 3DCTs zu erarbeiten, wenn Geometrie und Material des Messobjektes bekannt sind. Damit können schon vor der CT-Messung die optimalen Messparameter bestimmt und die Artefaktkorrektur durchgeführt werden. Die Projektergebnisse führen zu folgenden Vorteilen: - Besseres Verständnis über das industrielle 3D-CT-System und der Wechselwirkung der Strahlung mit den Einzelkomponenten (insbesondere Werkstück und Detektor) - Verbesserung der CT-Messergebnisse, Reduktion von Artefakten und Fehlmessungen - Ausweitung der Anwendungsfelder von 3D-CT, Erhöhung der Messgenauigkeit", "start_date": "2006-10-01", "end_date": "2010-06-30", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", "Loeffelmann-1995-RTE", "loeffelmann-1996-CVA", "Loeffelmann-1996-DS3", "loeffelmann-1996-SVM", 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"karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", 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"TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "COMRADE", "workgroup_id": "vis", "drupal_id": 4254, "drupal_path": "/research/projects/COMRADE", "name": "COMRADE: Colonoscopic and Orthopaedic Magnetic Resonance Analysis, Diagnosis and Evaluation", "name_de": null, "short_title": "COMRADE", "website": null, "status": "active", "short_abstract": "The COMRADE (MRI based Visualization and Analysis for Virtual Colonoscopy and Ortopaedics) project aims to explore the possibilities of MRI visualization techniques, e.g., for virtual colonoscopy and orthopaedics, due to similarity in their interests, and to develop a patient-friendly, effective screening tool.", "abstract": "The COMRADE (MRI based Visualization and Analysis for Virtual Colonoscopy and Ortopaedics) project aims to explore the possibilities of MRI visualization techniques, e.g., for virtual colonoscopy and orthopaedics, due to similarity in their interests, and to develop a patient-friendly, effective screening tool. The work concentrates on identifying the specific application areas, e.g., diagnostic investigation of Crohn's disease, and improving still ineffective analysis steps of the visualization pipeline, such as data enhancement, mapping to visual properties, etc. ", "start_date": "2003-06-01", "end_date": "2009-12-31", "leader_id": { "id": 179, "drupal_id": 121, "orcid_id": null, "website": "https://www.cg.tuwien.ac.at/staff/MatejMlejnek", "firstname": "Matej", "lastname": "Mlejnek", "searchname": "Matej Mlejnek", "is_teacher": false, "name": "Matej Mlejnek", "publications": [ "Csebfalvi-2002-FPVF", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Neumann-2002-Fea", "preim-2009-sve" ], "publications_first": [], "project_leader": [ "COMRADE" ], "publication_field": [ { "publ_id": "Beer_2011_DVE", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "hartl-2008-vcd", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "Kleber-2004-TFE", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Mlejnek_2004_PF", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "Mlejnek_2005_AOEPF", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=179", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:COMRADE", "type": "image/png", "size": 33123, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/COMRADE/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "pms", "contract_number": null, "comment": null, "funding_organisation": { "id": "pms", "drupal_id": 4148, "name": "Philips Medical Systems", "logo": { "name": "logo.png", "type": "image/png", "size": 527, "orig_name": "logo.png", "path": "FundingOrganisation:pms", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/pms/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "COMRADE", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=pms", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "Mlejnek_2004_PF", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Profile Flags: a Novel Metaphor for Probing of T2 Maps", "date": "2005-10", "abstract": "This paper describes a tool for the visualization of T2 maps of knee cartilage. Given the anatomical scan and the T2 map of the cartilage, we combine the information on the shape and the quality of the cartilage in a single image. The Profile Flag is an intuitive 3D glyph for probing and annotating of the underlying data. It comprises a bulletin board pin-like shape with a small flag on top of it. While moving the glyph along the reconstructed surface of an object, the curve data measured along the pin's needle and in its neighborhood are shown on the flag. The application area of the Profile Flag is manifold, enabling the visualization of profile data of dense but inhomogeneous objects. Furthermore, it extracts the essential part of the data without removing or even reducing the context information. By sticking Profile Flags into the investigated structure, one or more significant locations can be annotated by showing the local characteristics of the data at that locations. In this paper we are demonstrating the properties of the tool by visualizing T2 maps of knee cartilage.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 225, "name": "Mlejnek_2004_PF-image.jpg", "type": "image/jpeg", "size": 24793, "path": "Publication:Mlejnek_2004_PF", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 179, 572, 459, 573, 574, 575, 166 ], "booktitle": "Proceedings of IEEE Visualization 2005", "date_from": "2005-10-23", "date_to": "2005-10-28", "editor": "C. T. Silva, E. Gröller, H. Rushmeier", "isbn": "0780394623", "lecturer": [ 179 ], "location": "Minneapolis, USA", "pages_from": "599", "pages_to": "606", "publisher": "IEEE CS", "research_areas": [], "keywords": [ "applications of visualization", "visualization in medicine" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 225, "name": "Mlejnek_2004_PF-image.jpg", "type": "image/jpeg", "size": 24793, "path": "Publication:Mlejnek_2004_PF", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mlejnek_2004_PF-paper.pdf", "type": "application/pdf", "size": 7257205, "path": "Publication:Mlejnek_2004_PF", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "soundtrack", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mlejnek_2004_PF-soundtrack.mp3", "type": "audio/mpeg", "size": 2654002, "path": "Publication:Mlejnek_2004_PF", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-soundtrack.mp3", "thumb_image_sizes": [] } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/", "__class": "Publication" }, { "id": "Mlejnek_2005_AOEPF", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Application-Oriented Extensions of Profile Flags", "date": "2006", "abstract": "This paper discusses two applications of probing dense volumetric\r\ndata for MR orthopedics and dynamic contrast enhanced MRI\r\nmammography. In order not to reduce the context information and to\r\nextract the essential part of the data, we apply Profile Flags. A\r\nProfile Flag is a 3D glyph for probing and annotating the\r\nvolumetric data. The first application area deals with\r\nvisualization of T2 profiles for interactive inspection of knee\r\ncartilage and detection of lesions. In the second application, we\r\npresent the usability the Profile Flags for measuring of\r\ntime-signal profiles for a set of time-dependent MR volumes.\r\nSeveral extensions of the basic Profile Flag concept are described\r\nin detail and discussed. These extensions include selection of a\r\nset of profiles based on spatial as well as curve differences,\r\nautomatic positioning of the Profile Flags, and adaptation for\r\nprobing of time-varying volumetric data. Additionally, we include\r\nthe evaluation of the used methods by our medical partners.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 213, "preview_image_height": 231, "name": "Mlejnek_2005_AOEPF-paper.pdf", "type": "application/pdf", "size": 3305356, "path": "Publication:Mlejnek_2005_AOEPF", "preview_name": "Mlejnek_2005_AOEPF-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 35752, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 179, 572, 459, 573, 574, 166, 575 ], "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization", "lecturer": [ 179 ], "pages_from": "339", "pages_to": "346", "publisher": "IEEE CS", "research_areas": [], "keywords": [ "applications of visualization", "visualization in medicine" ], "weblinks": [], "files": [ { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 213, "preview_image_height": 231, "name": "Mlejnek_2005_AOEPF-paper.pdf", "type": "application/pdf", "size": 3305356, "path": "Publication:Mlejnek_2005_AOEPF", "preview_name": "Mlejnek_2005_AOEPF-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 35752, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/", "__class": "Publication" }, { "id": "Mlejnek_2006_MVOA", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Medical Visualization for Orthopedic Applications", "date": "2006", "abstract": "This dissertation discusses visualization techniques of articular cartilage for\r\nboth quantitative and qualitative assessment. Articular cartilage is a very thin\r\nstructure covering the endings of human bones. Thus, even slight changes in its\r\nthickness and inner structure may indicate an occurrence or progress of degeneration.\r\nThe early detection of these factors is crucial for diagnosis and treatment of\r\ncartilage degeneration. Research to find treatments to stop or even reverse these\r\ndegenerative changes is well in progress.\r\nMagnetic resonance imaging is currently the best and most used non-invasive\r\ntechnique for acquisition of soft tissue structures like articular cartilage. In this\r\nwork we use two types of data: a high-resolution anatomical scan of the cartilage\r\nand a T2 map, which is computed from a set of sequences with varying parameters.\r\nWhile the thickness of the data can be precisely assessed fromthe anatomical scan,\r\nthe T2 map offers information on the inner structures of the cartilage.\r\nSince the femoral cartilage is a curved thin-wall structure with a relatively\r\nsmall extent in one direction, it is very difficult to estimate its thickness from a\r\nstack of slices or even from a three-dimensional reconstruction of its surface. We\r\ndiscuss inspection of the tissue by unfolding and, thus, representing the tissue as\r\na two-dimensional height field. Such a transformation of the object enables the\r\napplication of 2D geometrical operations in order to observe subtle details in the\r\nthickness of the tissue.\r\nNowadays scanners allow a quality assessment checking disruptions in the\r\npattern of the T2 map of the patellar cartilage. The T2 map illustrates the quality of\r\nthe cartilage and changes in the pattern of T2 map indicate defects before changes\r\nin the thickness itself occur. We propose the Profile Flags - an intuitive interface\r\nfor probing of the T2 maps by browsing the reconstructed surface of the cartilage.\r\nThe Profile Flag is positioned on the reconstructed surface of the tissue, and can\r\nbe moved along it. The Profile Flags can be applied to annotate local as well as\r\nglobal characteristics of the underlying data in a single still image. Furthermore,\r\nwe present a set of extensions to Profile Flags for selection, classification and\r\nautomatic positioning. Profile Flags can also be used to measure time-varying\r\ndynamic contrast enhanced magnetic resonance imaging data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 229, "preview_image_height": 299, "name": "Mlejnek_2006_MVOA-pdf.pdf", "type": "application/pdf", "size": 13563571, "path": "Publication:Mlejnek_2006_MVOA", "preview_name": "Mlejnek_2006_MVOA-pdf:preview.png", "preview_type": "image/jpeg", "preview_size": 54051, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 179 ], "date_end": "2006", "date_start": "2003", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "applications of visualization", "visualization in medicine" ], "weblinks": [], "files": [ { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 229, "preview_image_height": 299, "name": "Mlejnek_2006_MVOA-pdf.pdf", "type": "application/pdf", "size": 13563571, "path": "Publication:Mlejnek_2006_MVOA", "preview_name": "Mlejnek_2006_MVOA-pdf:preview.png", "preview_type": "image/jpeg", "preview_size": 54051, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/", "__class": "Publication" }, { "id": "Mlejnek-2004-Int", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Interactive Thickness Visualization of Articular Cartilage", "date": "2004-10", "abstract": "This paper describes a method to visualize the thickness of curved\r\nthin objects. Given the MRI volume data of articular cartilage,\r\nmedical doctors investigate pathological changes of the thickness.\r\nSince the tissue is very thin, it is impossible to reliably map\r\nthe thickness information by direct volume rendering. Our idea is\r\nbased on unfolding of such structures preserving their thickness.\r\nThis allows to perform anisotropic geometrical operations (e.g.,\r\nscaling the thickness). However, flattening of a curved structure\r\nimplies a distortion of its surface. The distortion problem is\r\nalleviated through a focus-and-context minimization approach.\r\nDistortion is smallest close to a focal point which can be\r\ninteractively selected by the user.", "authors_et_al": false, "substitute": "Mlejnek-2004-ITVAC", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 179, 459, 166 ], "number": "TR-186-2-04-11", "pages_from": "1", "pages_to": "7", "research_areas": [], "keywords": [ "applications of visualization", "visualization in medicine" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mlejnek-2004-Int-paper.pdf", "type": "application/pdf", "size": 2719968, "path": "Publication:Mlejnek-2004-Int", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-Int/Mlejnek-2004-Int-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-Int/Mlejnek-2004-Int-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-Int/", "__class": "Publication" }, { "id": "Mlejnek-2004-ITVAC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Thickness Visualization of Articular Cartilage", "date": "2004-10", "abstract": "This paper describes a method to visualize the thickness of curved\r\nthin objects. Given the MRI volume data of articular cartilage,\r\nmedical doctors investigate pathological changes of the thickness.\r\nSince the tissue is very thin, it is impossible to reliably map\r\nthe thickness information by direct volume rendering. Our idea is\r\nbased on unfolding of such structures preserving their thickness.\r\nThis allows to perform anisotropic geometrical operations (e.g.,\r\nscaling the thickness). However, flattening of a curved structure\r\nimplies a distortion of its surface. The distortion problem is\r\nalleviated through a focus-and-context minimization approach.\r\nDistortion is smallest close to a focal point which can be\r\ninteractively selected by the user.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 462, "image_height": 209, "name": "Mlejnek-2004-ITVAC-image.jpg", "type": "image/jpeg", "size": 29611, "path": "Publication:Mlejnek-2004-ITVAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 179, 459, 166 ], "booktitle": "Proceedings of Visualization 2004", "pages_from": "521", "pages_to": "527", "research_areas": [], "keywords": [ "visualization in medicine", "applications of visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 462, "image_height": 209, "name": "Mlejnek-2004-ITVAC-image.jpg", "type": "image/jpeg", "size": 29611, "path": "Publication:Mlejnek-2004-ITVAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mlejnek-2004-ITVAC-paper.pdf", "type": "application/pdf", "size": 3435318, "path": "Publication:Mlejnek-2004-ITVAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/", "__class": "Publication" }, { "id": "termeer-2006-000", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Preserving Sharp Edges with Volume Clipping", "date": "2006-11", "abstract": "Volume clipping is a useful aid for exploring volumetric datasets. To maximize the effectiveness of this technique, the clipping geometry should be flexibly specified and the resulting images should not contain artifacts due to the clipping techniques. We present an improvement to an existing illumination model for volume clipping to allow sharp edges in the data to stay visible. These sharp edges often\r\noriginate from material transitions in the volume or structures being partially cut by the clipping geometry. The focus is on high, industrial image quality\r\nand flexibility of the algorithm; techniques for using high-resolution polygonal meshes as clipping algorithms and removal of artifacts are presented.\r\nFeatures of the latest consumer graphics hardware are exploited to provide the visualization at an interactive framerate without the need for multipassing. We have validated the techniques presented here by implementing them in the context of a professional volume rendering application at Philips Medical Systems, and comparing our results with\r\ncurrent results produced by existing solutions.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 624, "image_height": 716, "name": "termeer-2006-000-image.png", "type": "image/png", "size": 255878, "path": "Publication:termeer-2006-000", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 648 ], "booktitle": "Proceedings Vision, Modeling and Visualization 2006", "lecturer": [ 606 ], "location": "Aachen, Germany", "research_areas": [], "keywords": [ "volume clipping", "sharp edges" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 624, "image_height": 716, "name": "termeer-2006-000-image.png", "type": "image/png", "size": 255878, "path": "Publication:termeer-2006-000", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "termeer-2006-000-paper.pdf", "type": "application/pdf", "size": 5592307, "path": "Publication:termeer-2006-000", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/", "__class": "Publication" }, { "id": "termeer-2007-covicad", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "CoViCAD: Comprehensive Visualization of Coronary Artery Disease", "date": "2007-10", "abstract": "We present novel, comprehensive visualization techniques for the diagnosis of patients with Coronary Artery Disease using segmented cardiac MRI data. We extent an accepted medical visualization technique called the bull’s eye plot by removing discontinuities, preserving the volumetric nature of the left ventricular wall and adding anatomical context. The resulting volumetric bull’s eye plot can be used for the assessment of transmurality. We link these visualizations to a 3D view that presents viability information in a detailed anatomical context. We combine multiple MRI scans (whole heart anatomical data, late enhancement data) and multiple segmentations (polygonal heart model, late enhancement contours, coronary artery tree). By selectively combining different rendering techniques we obtain comprehensive yet intuitive visualizations of the various data sources.", "authors_et_al": false, "substitute": null, "main_image": { "description": "3D model of the heart annotated with viability data", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 618, "image_height": 877, "name": "termeer-2007-covicad-image.png", "type": "image/png", "size": 320323, "path": "Publication:termeer-2007-covicad", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 679, 459, 575, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics (accepted for publication)", "lecturer": [ 606 ], "number": "6", "volume": "13", "research_areas": [], "keywords": [ "VBEP", "viability", "late enhancement", "Cardiac MRI", "bull" ], "weblinks": [], "files": [ { "description": "3D model of the heart annotated with viability data", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 618, "image_height": 877, "name": "termeer-2007-covicad-image.png", "type": "image/png", "size": 320323, "path": "Publication:termeer-2007-covicad", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2007-covicad-paper.pdf", "type": "application/pdf", "size": 7366407, "path": "Publication:termeer-2007-covicad", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 384, "name": "termeer-2007-covicad-video.avi", "type": "video/x-msvideo", "size": 19198352, "path": "Publication:termeer-2007-covicad", "preview_name": "termeer-2007-covicad-video:preview.png", "preview_type": "image/png", "preview_size": 123651, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-video:video.mp4" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/", "__class": "Publication" }, { "id": "termeer-2008-scmr", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "The Volumetric Bulls Eye Plot", "date": "2008-02", "abstract": "Introduction: The bull's eye plot is a commonly used schematic for the visualization of quantitative late enhancement cardiac MRI data. It gives an intuitive overview of the viability of the entire left ventricular myocardium in a single diagram. However, common implementations do not provide a continuous transition between slices and provide poor or no information about the exact location and transmurality of non-viable tissue.\r\nPurpose: We propose a novel visualization technique that relieves the drawbacks of the bull's eye plot but maintains its advantages. Our hypothesis is that our technique will enable a more accurate assessment of the relation between viable and non-viable myocardial tissue (scar).\r\nMethods: Short-axis late enhancement cardiac MRI acquisitions consist of 10-20 slices. We segment the left-ventricular myocardium in all slices using manually drawn contours on both the epicardium and the endocardium. The segmented myocardium is subsequently unfolded along the long axis and reformatted to form a thin cylinder (Figure 1a). In this process myocardial cross-sections are mapped to equidistant rings within this cylinder. The volumetric nature of the myocardium is preserved during the unfolding.\r\nA projection of the cylinder is generated using the technique of volume rendering (Figure 1b). The viewing direction in this projection is oriented from the apex towards the base of the ventricle. This makes the viewer perceive the endocardium to be behind the epicardium. This view is further augmented with the main coronary arteries extracted from a whole heart MRI scan (150 slices, SSFP). Furthermore, two dots indicating the points where the left and right-ventricular myocardial connect are added. A thin slab perpendicular to the long axis within the cylinder can be selected for exclusive rendering, providing a method of visualizing only epicardial or endocardial viability.\r\nTo investigate scar transmurality, the user can select a wedge-shaped region of interest. Figure 1c shows the transmurality of that region by projecting it from its side. The unfolding method is modified for this projection to compensate for distortions due to the shape of the selected region. Since the wall thickness may vary within the region of interest, lines indicating the minimum and maximum wall thickness in the selected region are displayed.\r\nResults: The long-axis projection provides a smooth overview of the viability due to the unfolding method that preserves the continuous, volumetric nature of the myocardium. This also causes the resolution of the diagram to increase when more slices are acquired. The additional context information (i.e., coronary arteries) allows for easier interpretation of the location of any scar. Due to the close relation to the bull's eye plot, we believe that clinical adoption will be easy. The transmurality view provides detailed information on the distribution of scar within the myocardium. The preservation of wall thickness allows for judgment of the location and extent of the scar in relation to healthy tissue.\r\nConclusion: Our novel volumetric bull's eye plot allows for a comprehensive assessment of viability and scar transmurality thanks to its continuous nature and the additional context information provided.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "Volumetric Bulls Eye Plot", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 964, "image_height": 959, "name": "termeer-2008-scmr-image.png", "type": "image/png", "size": 404646, "path": "Publication:termeer-2008-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 679, 459, 575, 166 ], "booktitle": "Abstracts of the 11th Annual SCMR Scientific Sessions – 2008", "date_from": "2008-02-08", "date_to": "2008-02-10", "event": "SCMR 2008", "journal": "Journal of Cardiovascular Magnetic Resonance", "location": "Los Angeles, California", "pages_from": "199", "pages_to": "200", "series": "1", "volume": "11", "research_areas": [], "keywords": [ "Viability", "Bulls Eye Plot", "Cardiac MRI" ], "weblinks": [], "files": [ { "description": "", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2008-scmr-abstract.pdf", "type": "application/pdf", "size": 1409096, "path": "Publication:termeer-2008-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-abstract:thumb{{size}}.png" }, { "description": "Volumetric Bulls Eye Plot", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 964, "image_height": 959, "name": "termeer-2008-scmr-image.png", "type": "image/png", "size": 404646, "path": "Publication:termeer-2008-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2008-scmr-poster.pdf", "type": "application/pdf", "size": 2309951, "path": "Publication:termeer-2008-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/", "__class": "Publication" }, { "id": "termeer-2008-vis", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Visualization of Myocardial Perfusion Derived from Coronary Anatomy", "date": "2008-10", "abstract": "Visually assessing the effect of the coronary artery anatomy on the perfusion of the heart muscle in patients with coronary artery disease remains a challenging task. We explore the feasibility of visualizing this effect on perfusion using a numerical approach. We perform a computational simulation of the way blood is perfused throughout the myocardium purely based on information from a three-dimensional anatomical tomographic scan. The results are subsequently visualized using both three-dimensional visualizations and bull's eye plots, partially inspired by approaches currently common in medical practice. Our approach results in a comprehensive visualization of the coronary anatomy that compares well to visualizations commonly used for other scanning technologies. We demonstrate techniques giving detailed insight in blood supply, coronary territories and feeding coronary arteries of a selected region. We demonstrate the advantages of our approach through visualizations that show information which commonly cannot be directly observed in scanning data, such as a separate visualization of the supply from each coronary artery. We thus show that the results of a computational simulation can be effectively visualized and facilitate visually correlating these results to for example perfusion data. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1026, "image_height": 947, "name": "termeer-2008-vis-image.png", "type": "image/png", "size": 641384, "path": "Publication:termeer-2008-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 679, 459, 575, 166, 746 ], "date_from": "2008-10-19", "date_to": "2008-10-24", "event": "IEEE Visualization 2008", "issn": "1077-2626", "journal": "TVCG", "lecturer": [ 606 ], "location": "Columbus, USA", "number": "6", "pages_from": "1595", "pages_to": "1602", "volume": "14", "research_areas": [], "keywords": [ "myocardial perfusion", "coronary artery territories", "cardiac visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1026, "image_height": 947, "name": "termeer-2008-vis-image.png", "type": "image/png", "size": 641384, "path": "Publication:termeer-2008-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2008-vis-paper.pdf", "type": "application/pdf", "size": 4436801, "path": "Publication:termeer-2008-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 624, "name": "termeer-2008-vis-video.avi", "type": "video/x-msvideo", "size": 21174952, "path": "Publication:termeer-2008-vis", "preview_name": "termeer-2008-vis-video:preview.png", "preview_type": "image/jpeg", "preview_size": 24157, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-video:video.mp4" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/", "__class": "Publication" }, { "id": "termeer-2009-cvc", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Comprehensive Visualization of Cardiac MRI Data", "date": "2009", "abstract": "Coronary artery disease is one of the leading causes of death in the western world. The continuous improvements in magnetic resonance imaging technology facilitate more accurate diagnoses by providing increasingly more detailed information on the viability, functioning, perfusion, and anatomy of a patient’s heart. This increasing amount of information creates the need for more efficient and more effective means of processing these data.\r\n\r\nThis thesis presents several novel techniques that facilitate a more comprehensive visualization of a patient’s heart to assist in the diagnosis of coronary artery disease using magnetic resonance imaging (MRI). The volumetric bull’s eye plot is introduced as an extension of an existing visualization technique used in clinical practice---the bull’s eye plot. This novel concept offers a more comprehensive view on the viability of a patient’s heart by providing detailed information on the transmurality of scar while not suffering from discontinuities.\r\n\r\nAnatomical context is often lost due to abstract representations of data, or may be scarce due to the nature of the scanning protocol. Several techniques to restore the relation to anatomy are presented. The primary coronary arteries are segmented in a whole heart scan and mapped onto a volumetric bull’s eye plot, adding anatomical context to an abstract representation. Similarly, segmented late enhancement data are rendered along with a three-dimensional segmentation of the patient-specific myocardial and coronary anatomy. Additionally, coronary supply territories are computed from patient-specific data as an improvement over models based on population averages.\r\n\r\nInformation on the perfusion of the myocardium provided by MRI is typically of fairly low resolution. Using high-resolution anatomical data, an approach to visualize simulated myocardial perfusion is presented, taking full advantage of the detailed information on perfusion. Finally, a truly comprehensive visualization of a cardiac MRI exam is explored by combining whole heart, late enhancement, functional, and perfusion scans in a single visualization. The concepts introduced help to build a more comprehensive view of the patient and the additional information may prove to be beneficial for the diagnostic process.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 155, "name": "termeer-2009-cvc-image.jpg", "type": "image/jpeg", "size": 33920, "path": "Publication:termeer-2009-cvc", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606 ], "co_supervisor": [ 679 ], "date_end": "2009-01", "date_start": "2005-11", "rigorosum": "2009-01-20", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Cardiac MRI Visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 637, "image_height": 155, "name": "termeer-2009-cvc-image.jpg", "type": "image/jpeg", "size": 33920, "path": "Publication:termeer-2009-cvc", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image:thumb{{size}}.png" }, { "description": "", "filetitle": "thesis (screen version)", "main_file": false, "use_in_gallery": false, "access": "public", "name": "termeer-2009-cvc-thesis (screen version).pdf", "type": "application/pdf", "size": 16926510, "path": "Publication:termeer-2009-cvc", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis (screen version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis (screen version):thumb{{size}}.png" }, { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2009-cvc-thesis.pdf", "type": "application/pdf", "size": 32225038, "path": "Publication:termeer-2009-cvc", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/", "__class": "Publication" }, { "id": "termeer-2009-scmr", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Patient-Specific Coronary Artery Supply Territory AHA Diagrams", "date": "2009-01", "abstract": "Introduction: The American Heart Association proposed a 17-segment model for the segmentation of the left ventricle together with a mapping from each segment to a supplying coronary artery. This proposal is based on population averages. Several studies have confirmed the inaccuracy of this mapping due to large anatomical variations of the coronary arteries among individuals. Several proposals have been made for a different mapping between the 17 segments and the coronary arteries.\r\n\r\nPurpose: Due to the large variation in coronary anatomy there is a need for a patient-specific assignment of ventricular segments to supplying coronary arteries. We propose to use a segmentation of the coronary arteries and the ventricular epicardium to compute this patient-specific mapping.\r\n\r\nMethods: The three primary coronary arteries (LAD, LCX and RCA) and the left ventricle are segmented in a whole-heart MRI (SSFP) or CT scan of at least 150 slices. For the coronary arteries we employ a semi-automatic vessel tracking algorithm. The left ventricle is segmented using a fully automatic approach. The epicardial surface of the resulting segmentation is represented as a quadrilateral mesh. The centerlines of the coronary arteries are projected on the epicardial surface. A Voronoi diagram of the projected arteries is computed using a geodesic distance metric. The patient-specific coronary supply territories are computed using a modified marching squares algorithm. The examples given here consist of three territories, but our approach is flexible enough to handle any amount of territories.\r\n\r\nBoth the coronary supply territories and the coronary arteries are projected onto a bull’s eye plot using a parameterization of the left ventricle based on cylindrical coordinates, using the cardiac long axis as the primary axis of the cylinder (Figure 1a). The continuous nature of the epicardial surface is preserved in this projection. This means that the bull’s eye plot does not consist of rings representing slices, but that the distance to the center is proportional to the distance to the apex. This bull’s eye plot can for example be used as an overlay for the analysis of viability (Figure 1b).\r\n\r\nFigure 1. (a) Bull’s eye plot showing patient-specific coronary supply territories. The dotted lines represent the 17-segment model. (b) Patient-specific coronary supply territories as an overlay on a bull’s eye plot of a late enhancement scan.\r\n\r\nResults: We evaluated our method on image data from five patients. For each patient we produced both a standard 17-segment diagram and a diagram with the projection of the patient-specific coronary supply territories resulting from our approach. In both diagrams a projection of the segmented coronary arteries was shown. We then asked an experienced clinician to judge the correspondence between the coronary arteries and the suggested coronary supply territories for both diagrams. It was judged that our patient-specific coronary supply territories provide a better correlation with the position of the coronary arteries. The clinician expressed a preference to our method as compared to the standard 17-segment model.\r\n\r\nThe continuous relation between the distance to the center of the bull’s eye plot and the distance to the apex caused some confusion with our clinician. Especially in combination with CMR data consisting of relatively few slices this relation should be clarified.\r\n\r\nConclusion: With our method the relation between coronary arteries and areas supplied by these arteries is better visualized. This will help to better correlate the location of infarcted or ischemic areas to the coronaries that have caused the respective infarction or ischemia.", "authors_et_al": false, "substitute": null, "main_image": { "description": "patient-specific bulls eye plot", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 716, "image_height": 713, "name": "termeer-2009-scmr-image.png", "type": "image/png", "size": 150171, "path": "Publication:termeer-2009-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 679, 459, 575, 166, 746 ], "booktitle": "Abstracts of the 12th Annual SCMR Scientific Sessions - 2009", "date_from": "2009-01-29", "date_to": "2009-02-01", "event": "SCMR 2009", "issn": "1532-429X ", "journal": "Journal of Cardiovascular Magnetic Resonance", "location": "Orlando, Florida", "pages_from": "164", "pages_to": "165", "series": "1", "volume": "11", "research_areas": [], "keywords": [ "coronary supply territories", "patient-specific bulls eye plot" ], "weblinks": [], "files": [ { "description": "", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2009-scmr-abstract.pdf", "type": "application/pdf", "size": 251722, "path": "Publication:termeer-2009-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-abstract:thumb{{size}}.png" }, { "description": "patient-specific bulls eye plot", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 716, "image_height": 713, "name": "termeer-2009-scmr-image.png", "type": "image/png", "size": 150171, "path": "Publication:termeer-2009-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "termeer-2009-scmr-poster.pdf", "type": "application/pdf", "size": 3155843, "path": "Publication:termeer-2009-scmr", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/", "__class": "Publication" }, { "id": "TR-186-2-08-05", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Visualization of Myocardial Perfusion Derived from Coronary Anatomy", "date": "2008-03", "abstract": "Visually assessing the effect of the coronary artery anatomy on the perfusion of the heart muscle in patients with coronary artery disease remains a challenging task. We explore the feasibility of visualizing this effect on perfusion using a numerical approach. We perform a computational simulation of the way blood is perfused throughout the myocardium purely based on information from a three-dimensional anatomical tomographic scan. The results are subsequently visualized using both three-dimensional visualizations and bull’s eye plots, partially inspired by approaches currently common in medical practice. Our approach results in a comprehensive visualization of the coronary anatomy that compares well to visualizations commonly used for other scanning technologies. We demonstrate techniques giving detailed insight in blood supply, coronary territories and feeding coronary arteries of a selected region. We demonstrate the advantages of our approach through visualizations that show information which commonly cannot be directly observed in scanning data, such as separate visualization of the supply from each coronary artery. We thus show that the results of a computational simulation can be effectively visualized and facilitate visually correlating these results to for example perfusion data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1098, "image_height": 975, "name": "TR-186-2-08-05-image.png", "type": "image/png", "size": 465239, "path": "Publication:TR-186-2-08-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/TR-186-2-08-05-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/TR-186-2-08-05-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 679, 459, 575, 166 ], "number": "TR-186-2-08-05", "research_areas": [], "keywords": [ "cardiac", "perfusion", "coronary anatomy", "bull's eye plot" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1098, "image_height": 975, "name": "TR-186-2-08-05-image.png", "type": "image/png", "size": 465239, "path": "Publication:TR-186-2-08-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/TR-186-2-08-05-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/TR-186-2-08-05-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-05-paper.pdf", "type": "application/pdf", "size": 5404523, "path": "Publication:TR-186-2-08-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/TR-186-2-08-05-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/TR-186-2-08-05-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-05/", "__class": "Publication" }, { "id": "TR-186-2-08-11", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Patient-Specific Mappings between Myocardial and Coronary Anatomy", "date": "2008-10", "abstract": "The segmentation of the myocardium based on the 17-segment model as recommended by the American Heart Association is widely used in medical practice. The patient-specific coronary anatomy does not play a role in this model. Due to large variations in coronary anatomy among patients, this can result in an inaccurate mapping between myocardial segments and coronary arteries. We present two approaches to include the patient-specific coronary anatomy in this mapping. The first approach adapts the 17-segment model to fit the patient. The second approach generates a less constrained mapping that does not necessarily conform to this model. Both approaches are based on a Voronoi diagram computation of the primary coronary arteries using geodesic distances along the epicardium in three-dimensional space. We demonstrate both our approaches with several patients and show how our first approach can also be used to fit volume data to the 17-segment model. Our technique gives detailed insight into the coronary anatomy in a single diagram. Based on the feedback provided by clinical experts we conclude that it has the potential to provide a more accurate relation between deficiencies in the myocardium and the supplying coronary arteries.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1250, "image_height": 1085, "name": "TR-186-2-08-11-.png", "type": "image/png", "size": 334766, "path": "Publication:TR-186-2-08-11", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/TR-186-2-08-11-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/TR-186-2-08-11-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 606, 647, 679, 459, 575, 166, 746 ], "number": "TR-186-2-08-11", "research_areas": [], "keywords": [ "Cardiac MRI", "coronary artery territories" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1250, "image_height": 1085, "name": "TR-186-2-08-11-.png", "type": "image/png", "size": 334766, "path": "Publication:TR-186-2-08-11", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/TR-186-2-08-11-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/TR-186-2-08-11-:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-11-paper.pdf", "type": "application/pdf", "size": 2036470, "path": "Publication:TR-186-2-08-11", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/TR-186-2-08-11-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/TR-186-2-08-11-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "COMRADE" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-11/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/COMRADE", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile Analytics", "ViMaL", "VISAR" ], "research_areas": [ "BioVis", "IllVis", "InfoVis", "MedVis", "NetVis", "Perception", "VisMat", "VR" ], "publications": [ "2013_Viola_Ivan_2013_MTS", "2015-image-coll", "2017-kouril-illcell", "2019-ic", "AA2020", "aigner-2025-vhv", "alacruzECR2004", "alacruzVisSym2004", "Alharbi_2021", "Alsallakh_2012_RCW", "alsallakh-2009-iva", "altendorfer-2008-vts", "amabili2021", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2018-withteeth", "amirkhanov-2021-diss", "amirkhanov2010AMA", "ammer-2008-lst", "An-2018-CHI", "AndreUrsits_2013_APP", "antes-2023-vhv", "Antonini2020", "arbesser_ba_2023", "Artner-2004-Hig", "Artner-2005-Hig", "Artner-2005-Thesis", "audioflow", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", 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"hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "diagvis", "workgroup_id": "vis", "drupal_id": 4256, "drupal_path": "/research/projects/diagvis", "name": "DiagVis: Diagnostic Visualization for Medical Applications", "name_de": null, "short_title": "diagvis", "website": null, "status": "active", "short_abstract": "The DiagVis (Diagnostic Visualization) project aims to facilitate and to improve medical diagnostics. The project focuses on radiological needs but also on related disciplines like surgical applications. ", "abstract": "The DiagVis (Diagnostic Visualization) project aims to facilitate and to improve medical diagnostics. The project focuses on radiological needs but also on related disciplines like surgical applications. \tReliability, stability and usability of the developed methods should be examined through the integration to a medical workstation to allow a clinical evaluation.", "start_date": "2006-01-01", "end_date": "2009-12-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", 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"GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", 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time-consuming process of adjusting parameters such as viewpoint, transfer functions, and clipping planes required to generate a diagnostically relevant image. Current applications therefore make scarce use of volume rendering and instead primarily employ 2D views generated through standard techniques such as multi-planar reconstruction (MPR). However, in many cases 3D renditions can supply additional useful information. This paper discusses ongoing work which aims to improve the integration of 3D visualization into the diagnostic workflow by automatically generating meaningful renditions based on minimal user interaction. A method for automatically generating 3D views for structures in 2D slices based on a single picking interaction is presented.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Automatic 3D view selection", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 500, "image_height": 373, "name": "bruckner-2008-IVV-Image.jpg", "type": "image/jpeg", "size": 106917, "path": "Publication:bruckner-2008-IVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 605, 162, 166 ], "booktitle": "Proceedings of 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro", "date_from": "2008-05-14", "date_to": "2008-05-17", "isbn": "978-1-4244-2002-5", "lecturer": [ 161 ], "location": "Paris, Frankreich", "pages_from": "820", "pages_to": "823", "research_areas": [], "keywords": [ "viewpoint selection", "medical visualization", "volume rendering" ], "weblinks": [], "files": [ { "description": "Automatic 3D view selection", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 500, "image_height": 373, "name": "bruckner-2008-IVV-Image.jpg", "type": "image/jpeg", "size": 106917, "path": "Publication:bruckner-2008-IVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2008-IVV-Paper.pdf", "type": "application/pdf", "size": 2240970, "path": "Publication:bruckner-2008-IVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/", "__class": "Publication" }, { "id": "haidacher-2008-vcbm", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Information-based Transfer Functions for Multimodal Visualization", "date": "2008-10", "abstract": "Transfer functions are an essential part of volume visualization. In multimodal visualization at least two values\r\nexist at every sample point. Additionally, other parameters, such as gradient magnitude, are often retrieved for\r\neach sample point. To find a good transfer function for this high number of parameters is challenging because of\r\nthe complexity of this task. In this paper we present a general information-based approach for transfer function\r\ndesign in multimodal visualization which is independent of the used modality types. Based on information theory,\r\nthe complex multi-dimensional transfer function space is fused to allow utilization of a well-known 2D transfer\r\nfunction with a single value and gradient magnitude as parameters. Additionally, a quantity is introduced which\r\nenables better separation of regions with complementary information. The benefit of the new method in contrast to\r\nother techniques is a transfer function space which is easy to understand and which provides a better separation\r\nof different tissues. The usability of the new approach is shown on examples of different modalities.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multimodal Visualization of CT and MRI", "filetitle": "CT-MRI", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1446, "image_height": 1446, "name": "haidacher-2008-vcbm-CT-MRI.jpg", "type": "image/jpeg", "size": 2466928, "path": "Publication:haidacher-2008-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 597, 161, 162, 166 ], "booktitle": "VCBM ", "editor": "C.P Botha, G. Kindlmann, W.J. Niessen, and B. Preim", "isbn": "978-3-905674-13-2", "issn": "2070-5778", "lecturer": [ 597 ], "location": "Delft", "pages_from": "101", "pages_to": "108", "publisher": "Eurographics Association", "research_areas": [], "keywords": [ "Multimodal Visualization", "Transfer Function", "Information Theory" ], "weblinks": [], "files": [ { "description": "Multimodal Visualization of CT and MRI", "filetitle": "CT-MRI", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1446, "image_height": 1446, "name": "haidacher-2008-vcbm-CT-MRI.jpg", "type": "image/jpeg", "size": 2466928, "path": "Publication:haidacher-2008-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI:thumb{{size}}.png" }, { "description": "Multimodal Visualization of Neck Tumor", "filetitle": "CT-PET", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1444, "image_height": 1167, "name": "haidacher-2008-vcbm-CT-PET.jpg", "type": "image/jpeg", "size": 1722886, "path": "Publication:haidacher-2008-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-PET.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-PET:thumb{{size}}.png" }, { "description": "Publication from VCBM 2008", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "haidacher-2008-vcbm-Paper.pdf", "type": "application/pdf", "size": 11949177, "path": "Publication:haidacher-2008-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-Paper:thumb{{size}}.png" }, { "description": "Slides of Presentation at VCBM", "filetitle": "Presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "haidacher-2008-vcbm-Presentation.pptx", "type": "application/x-zip", "size": 32101483, "path": "Publication:haidacher-2008-vcbm", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-Presentation.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/", "__class": "Publication" }, { "id": "Kohlmann-2007-EBV", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Evaluation of a Bricked Volume Layout for a Medical Workstation based on Java", "date": "2007-01", "abstract": "Volumes acquired for medical examination purposes are constantly increasing in size. For this reason, the computer’s memory is the limiting factor for visualizing the data. Bricking is a well-known concept used for rendering large data sets. The volume data is subdivided into smaller blocks to achieve better memory utilization. Until now, the vast majority of medical workstations use a linear volume layout. We implemented a bricked volume layout for such a workstation based on Java as required by our collaborative company partner to evaluate different common access patterns to the volume data. For rendering, we were mainly interested to see how the performance will differ from the traditional linear volume layout if we generate images of arbitrarily\r\noriented slices via Multi-Planar Reformatting (MPR). Furthermore, we tested access patterns which are crucial for segmentation issues like a random access to data values and a simulated region growing. Our goal was to find out if it makes sense to change the volume layout of a medical workstation to benefit from bricking. We were also interested to identify the tasks where\r\nproblems might occur if bricking is applied. Overall, our results show that it is feasible to use a bricked volume layout in the stringent context of a medical workstation implemented in Java.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "mpr-views", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 474, "name": "Kohlmann-2007-EBV-mpr-views.jpg", "type": "image/jpeg", "size": 93449, "path": "Publication:Kohlmann-2007-EBV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "date_from": "2007-01-29", "date_to": "2007-02-01", "event": "WSCG 2007", "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ 605 ], "location": "Plzen, Czech Republic", "number": "1-3", "pages_from": "83", "pages_to": "90", "volume": "15", "research_areas": [], "keywords": [ "MPR", "Bricked Volume Layout", "Medical Visualization", "Medical Workstation" ], "weblinks": [], "files": [ { "description": "", "filetitle": "mpr-views", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 474, "name": "Kohlmann-2007-EBV-mpr-views.jpg", "type": "image/jpeg", "size": 93449, "path": "Publication:Kohlmann-2007-EBV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kohlmann-2007-EBV-paper.pdf", "type": "application/pdf", "size": 1375913, "path": "Publication:Kohlmann-2007-EBV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/", "__class": "Publication" }, { "id": "kohlmann-2007-livesync", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation", "date": "2007-10", "abstract": "Although real-time interactive volume rendering is available even for very large data sets, this visualization method is used quite rarely in the clinical practice. We suspect this is because it is very complicated and time consuming to adjust the parameters to achieve meaningful results. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes and other parameters. Because of this, most often only 2D slices of the data set are examined. Our work introduces LiveSync, a new concept to synchronize 2D slice views and volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with expressive result images. To achieve this live synchronization we use a minimal set of derived information without the need for segmented data sets or data-specific pre-computations. The components we consider are the picked point, slice view zoom, patient orientation, viewpoint history, local object shape and visibility. We introduce deformed viewing spheres which encode the viewpoint quality for the components. A combination of these deformed viewing spheres is used to estimate a good viewpoint. Our system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 788, "image_height": 636, "name": "kohlmann-2007-livesync-image.jpg", "type": "image/jpeg", "size": 127751, "path": "Publication:kohlmann-2007-livesync", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "date_from": "2007-10-28", "date_to": "2007-11-01", "event": "IEEE Visualization 2007", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 605 ], "location": "Sacramento, California, USA", "note": "to be presented at IEEE Visualization 2007", "number": "6", "pages_from": "1544", "pages_to": "1551", "volume": "13", "research_areas": [], "keywords": [ "linked views", "interaction", "medical visualization", "navigation", "viewpoint selection" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 788, "image_height": 636, "name": "kohlmann-2007-livesync-image.jpg", "type": "image/jpeg", "size": 127751, "path": "Publication:kohlmann-2007-livesync", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kohlmann-2007-livesync-paper.pdf", "type": "application/pdf", "size": 10306194, "path": "Publication:kohlmann-2007-livesync", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kohlmann-2007-livesync-slides.zip", "type": "application/x-zip", "size": 22827882, "path": "Publication:kohlmann-2007-livesync", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-slides.zip", "thumb_image_sizes": [] }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1296, "preview_image_height": 960, "name": "kohlmann-2007-livesync-video.avi", "type": "video/x-msvideo", "size": 39098560, "path": "Publication:kohlmann-2007-livesync", "preview_name": "kohlmann-2007-livesync-video:preview.png", "preview_type": "image/jpeg", "preview_size": 84524, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-video:video.mp4" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/", "__class": "Publication" }, { "id": "kohlmann-2008-lse", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "LiveSync++: Enhancements of an Interaction Metaphor", "date": "2008-05", "abstract": "The LiveSync interaction metaphor allows an efficient and non-intrusive integration of 2D and 3D visualizations in medical workstations. This is achieved by synchronizing the 2D slice view with the volumetric view. The synchronization is initiated by a simple\r\npicking on a structure of interest in the slice view. In this paper we\r\npresent substantial enhancements of the existing concept to improve its usability. First, an efficient parametrization for the derived parameters is presented, which allows hierarchical refinement of the\r\nsearch space for good views. Second, the extraction of the feature of\r\ninterest is performed in a way, which is adapting to the volumetric extent of the feature. The properties of the extracted features are utilized to adjust a predefined transfer function in a feature-enhancing manner. Third, a new interaction mode is presented, which allows the integration of more knowledge about the user-intended visualization, without increasing the interaction effort. Finally, a new clipping technique is integrated, which guarantees an unoccluded view on the structure of interest while keeping important contextual information.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 550, "name": "kohlmann-2008-lse-image.jpg", "type": "image/jpeg", "size": 137567, "path": "Publication:kohlmann-2008-lse", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "booktitle": "Proceedings of Graphics Interface 2008", "date_from": "2008-05-28", "date_to": "2008-05-30", "lecturer": [ 605 ], "location": "Windsor, Ontario, Canada", "pages_from": "81", "pages_to": "88", "research_areas": [], "keywords": [ "Viewpoint Selection", "Linked Views", "Medical Visualization", "Smart Interaction" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 550, "name": "kohlmann-2008-lse-image.jpg", "type": "image/jpeg", "size": 137567, "path": "Publication:kohlmann-2008-lse", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 377, "image_height": 508, "name": "kohlmann-2008-lse-image.png", 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"https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-video:video.mp4" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/", "__class": "Publication" }, { "id": "kohlmann-2009-cp", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Contextual Picking of Volumetric Structures", "date": "2009-05", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 408, "image_height": 409, "name": "kohlmann-2009-cp-image.jpg", "type": "image/jpeg", "size": 28250, "path": "Publication:kohlmann-2009-cp", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "booktitle": "Proceedings of the IEEE Pacific Visualization Symposium 2009", "date_from": "2009-04-20", "date_to": "2009-04-23", "editor": "Peter Eades, Thomas Ertl, Han-Wei Shen", "isbn": "978-1-4244-4404-5", "lecturer": [ 605 ], "location": "Peking, China", "pages_from": "185", "pages_to": "192", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 408, "image_height": 409, "name": "kohlmann-2009-cp-image.jpg", "type": "image/jpeg", "size": 28250, "path": "Publication:kohlmann-2009-cp", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kohlmann-2009-cp-paper.pdf", "type": "application/pdf", "size": 5149796, "path": "Publication:kohlmann-2009-cp", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-paper:thumb{{size}}.png" }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "kohlmann-2009-cp-video.avi", "type": "video/x-msvideo", "size": 19379400, "path": "Publication:kohlmann-2009-cp", "preview_name": "kohlmann-2009-cp-video:preview.png", "preview_type": "image/jpeg", "preview_size": 16616, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-video:video.mp4" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/", "__class": "Publication" }, { "id": "kohlmann-2009-lssl", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "LiveSync: Smart Linking of 2D and 3D Views in Medical Applications", "date": "2009", "abstract": "In this thesis two techniques for the smart linking of 2D and 3D views in\r\nmedical applications are presented. Although real-time interactive 3D volume visualization is available even for very large data sets, it is used quite rarely in the clinical practice. A major obstacle for a better integration in the clinical workflow is the time-consuming process to adjust the parameters to generate diagnostically relevant images. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes, and other parameters. Because of this, current applications primarily employ 2D views generated through standard\r\ntechniques such as multi-planar reformatting (MPR).\r\n\r\nThe LiveSync interaction metaphor is a new concept to synchronize 2D slice\r\nviews and 3D volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with diagnostically relevant images. To achieve this live synchronization\r\na minimal set of derived information, without the need for segmented data sets or data-specific precomputations, is used. The presented system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.\r\n\r\nContextual picking is a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position, which\r\nallows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed to detect structures which are similar to predefined templates from a knowledge base. It is demonstrated that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate approximate centerlines of tubular objects, or to place labels at contextually-defined 3D positions.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2103, "image_height": 1649, "name": "kohlmann-2009-lssl-image.jpg", "type": "image/jpeg", "size": 328401, "path": "Publication:kohlmann-2009-lssl", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605 ], "co_supervisor": [ 171 ], "date_end": "2009-01", "date_start": "2006-03", "rigorosum": "2009-01-27", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 2103, "image_height": 1649, "name": "kohlmann-2009-lssl-image.jpg", "type": "image/jpeg", "size": 328401, "path": "Publication:kohlmann-2009-lssl", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image:thumb{{size}}.png" }, { "description": "", "filetitle": "print version", "main_file": false, "use_in_gallery": false, "access": "public", "name": "kohlmann-2009-lssl-print version.pdf", "type": "application/pdf", "size": 39738191, "path": "Publication:kohlmann-2009-lssl", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-print version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-print version:thumb{{size}}.png" }, { "description": "", "filetitle": "screen version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "kohlmann-2009-lssl-screen version.pdf", "type": "application/pdf", "size": 19213873, "path": "Publication:kohlmann-2009-lssl", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-screen version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-screen version:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/", "__class": "Publication" }, { "id": "TR-186-2-06-04", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Evaluation of a Bricked Volume Layout for a Medical Workstation based on Java", "date": "2006-10", "abstract": "Volumes acquired for medical examination purposes are constantly increasing in size. For this reason, the computer’s memory is the limiting factor for visualizing the data. Bricking is a well-known concept used for rendering large data sets. The volume data is subdivided into smaller blocks to achieve better memory utilization. Until now, the vast majority of medical workstations use a linear volume layout. We implemented a bricked volume layout for such a workstation based on Java as required by our collaborative company partner to evaluate different common access patterns to the volume data. For rendering, we were mainly interested to see how the performance will differ from the traditional linear volume layout if we generate images of arbitrarily oriented slices via Multi-Planar Reformatting (MPR). Furthermore, we tested access patterns which are crucial for segmentation issues like a random access to data values and a simulated region growing. Our goal was to find out if it makes sense to change the volume layout of the medical workstation to benefit of bricking. We were also interested to identify the tasks where problems might occur if bricking is applied. Overall, our results show that it is feasible to use a bricked volume\r\nlayout.", "authors_et_al": false, "substitute": "Kohlmann-2007-EBV", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 237, "name": "TR-186-2-06-04-image.jpg", "type": "image/jpeg", "size": 48845, "path": "Publication:TR-186-2-06-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "number": "TR-186-2-06-04", "research_areas": [], "keywords": [ "MPR", "Bricked Volume Layout", "Medical Visualization", "Medical Workstation" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 237, "name": "TR-186-2-06-04-image.jpg", "type": "image/jpeg", "size": 48845, "path": "Publication:TR-186-2-06-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-06-04-Report.pdf", "type": "application/pdf", "size": 1405211, "path": "Publication:TR-186-2-06-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/", "__class": "Publication" }, { "id": "TR-186-2-07-11", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation", "date": "2007-10", "abstract": "Although real-time interactive volume rendering is available even for very large data sets, this visualization method is used quite rarely in the clinical practice. We suspect this is because it is very complicated and time\r\nconsuming to adjust the parameters to achieve meaningful results. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes and other parameters. Because of this,\r\nmost often only 2D slices of the data set are examined. Our work introduces LiveSync, a new concept to synchronize\r\n2D slice views and volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with expressive result images. To achieve this live synchronization we use a minimal set of derived information without the need for segmented data sets or data-specific pre-computations. The components we consider are the picked point, slice view zoom, patient orientation, viewpoint history, local object shape and visibility. We introduce deformed viewing spheres which encode the viewpoint quality for the components. A combination of these deformed viewing spheres is used to estimate a good viewpoint. Our system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.", "authors_et_al": false, "substitute": "kohlmann-2007-livesync", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "number": "TR-186-2-07-11", "research_areas": [], "keywords": [ "viewpoint selection", "navigation", "interaction", "medical visualization", "linked views" ], "weblinks": [], "files": [ { "description": "", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-11-report.pdf", "type": "application/pdf", "size": 10150458, "path": "Publication:TR-186-2-07-11", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-11/TR-186-2-07-11-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-11/TR-186-2-07-11-report:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-11/", "__class": "Publication" }, { "id": "TR-186-2-08-01", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "The LiveSync Interaction Metaphor for Smart User-Intended Visualization", "date": "2008-01", "abstract": "The LiveSync interaction metaphor synchronizes the 2D slice view with the volumetric view to improve the efficiency of diagnosis in the clinical routine. The generation of a meaningful 3D visualization is desirable because often there is not enough contextual information provided by the slice views only. While it is easy to navigate through the slices, the interaction effort to adjust the parameters for the volumetric view is rather high. Some of the major time-consuming tasks are the localization of the feature of interest,\r\nthe setup of a good viewpoint, the removal of occluding structures via clipping geometries and the adjustment of the zoom factor. LiveSync extracts the needed information to set up all these parameters by a simple picking on a structure of interest in the slice view. In this paper we present substantial enhancements of the existing\r\nconcept. First, an efficient parametrization for the derived parameters is presented which allows hierarchical refinement of the search\r\nspace for good views. Second, the extraction of the feature of interest\r\nis performed in a way which is adapting to the volumetric extent of the feature. The properties of the extracted features are utilized to adjust a pre-defined transfer function in a feature-enhancing manner. Third, new interaction modes are presented which allow the integration of more knowledge about the user-intended visualization without increasing the interaction effort. Finally, a new clipping technique is integrated which guarantees an unoccluded view on the structure of interest while keeping important contextual information.", "authors_et_al": false, "substitute": "kohlmann-2008-lse", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 665, "name": "TR-186-2-08-01-image.jpg", "type": "image/jpeg", "size": 306233, "path": "Publication:TR-186-2-08-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "number": "TR-186-2-08-01", "research_areas": [], "keywords": [ "Smart Interaction", "Linked Views", "Medical Visualization", "Viewpoint Selection" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 665, "name": "TR-186-2-08-01-image.jpg", "type": "image/jpeg", "size": 306233, "path": "Publication:TR-186-2-08-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image:thumb{{size}}.png" }, { "description": "", "filetitle": "technical report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-01-technical report.pdf", "type": "application/pdf", "size": 10318206, "path": "Publication:TR-186-2-08-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/", "__class": "Publication" }, { "id": "TR-186-2-08-04", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Information-based Transfer Functions for Multimodal Visualization", "date": "2008-04", "abstract": "Transfer functions are an essential part of volume visualization. In multimodal visualization at least two values exist at every sample point. Additionally, other parameters, such as gradient magnitude, are often retrieved for each sample point. To find a good transfer function for this high number of parameters is challenging because of the complexity of this task. In this paper we present a general information-based approach for transfer function design in multimodal visualization which is independent of the used modality types. Based on information theory, the complex multi-dimensional transfer function space is fused to a well-known 2D transfer function with a single value and gradient magnitude as parameters. Additionally, a quantity is introduced which is used for achieving better separation of regions with complementary information. The benefit of the new method in contrast to other techniques is a transfer function space which is easy to understand and which provides a better separation of different tissues. The usability of the new approach is shown on examples of different modalities.", "authors_et_al": false, "substitute": "haidacher-2008-vcbm", "main_image": { "description": "Multimodal Visualization of CT and PET", "filetitle": "CT-PET", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1444, "image_height": 1167, "name": "TR-186-2-08-04-CT-PET.jpg", "type": "image/jpeg", "size": 1722886, "path": "Publication:TR-186-2-08-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 597, 161, 162, 166 ], "number": "TR-186-2-08-04", "research_areas": [], "keywords": [ "Information-based classification", "Information theory", "Point-wise mutual information", "Transfer functions", "Multimodal visualization" ], "weblinks": [], "files": [ { "description": "Multimodal Visualization of CT and PET", "filetitle": "CT-PET", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1444, "image_height": 1167, "name": "TR-186-2-08-04-CT-PET.jpg", "type": "image/jpeg", "size": 1722886, "path": "Publication:TR-186-2-08-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET:thumb{{size}}.png" }, { "description": "", "filetitle": "TechnicalReport", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-04-TechnicalReport.pdf", "type": "application/pdf", "size": 3651640, "path": "Publication:TR-186-2-08-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-TechnicalReport.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-TechnicalReport:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/", "__class": "Publication" }, { "id": "TR-186-2-08-10", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Contextual Picking of Volumetric Structures", "date": "2008-10", "abstract": "This paper presents a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position which allows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed for structures which are similar to predefined templates from a knowledge base. We demonstrate with our results that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate centerlines of tubular objects, or to place labels at contextually-defined volumetric positions.", "authors_et_al": false, "substitute": "kohlmann-2009-cp", "main_image": { "description": "Ray Profile Library", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 408, "image_height": 409, "name": "TR-186-2-08-10-image.png", "type": "image/png", "size": 25489, "path": "Publication:TR-186-2-08-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/TR-186-2-08-10-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/TR-186-2-08-10-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 605, 161, 162, 166 ], "number": "TR-186-2-08-10", "research_areas": [], "keywords": [ "Feature Selection", "Medical Visualization", "Linked Views", "Smart Interaction", "Contextual Visualization" ], "weblinks": [], "files": [ { "description": "Ray Profile Library", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 408, "image_height": 409, "name": "TR-186-2-08-10-image.png", "type": "image/png", "size": 25489, "path": "Publication:TR-186-2-08-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/TR-186-2-08-10-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/TR-186-2-08-10-image:thumb{{size}}.png" }, { "description": "", "filetitle": "technical report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-10-technical report.pdf", "type": "application/pdf", "size": 6797536, "path": "Publication:TR-186-2-08-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/TR-186-2-08-10-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/TR-186-2-08-10-technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "diagvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-10/", "__class": "Publication" }, { "id": "TR-186-2-08-14", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Smart Linking of 2D and 3D Views in Medical Applications", "date": "2008-12", "abstract": "This paper presents two techniques for the linking of 2D and 3D views in medical applications. Hereby, the\ngoal is a better integration of 3D volume visualization into the diagnostic workflow. Until now, the main obstacle for a good integration is the time-consuming process to adjust various parameters. The LiveSync interaction metaphor is a new concept to synchronize\n2D slice views and 3D volumetric views of medical data sets. A single intuitive picking interaction on anatomical structures which are detected in 2D slices results in an automatically generated 3D view. To further improve the integration contextual picking is\npresented as a method for the interactive identification of contextual interest points within volumetric data.\nOur results demonstrate how these techniques improve the efficiency to generate diagnostically relevant images\nand how contextual interest points can, e.g., facilitate the highlighting of relevant structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1098, "image_height": 756, "name": "TR-186-2-08-14-image.jpg", "type": "image/jpeg", "size": 86131, "path": "Publication:TR-186-2-08-14", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-image:thumb{{size}}.png" }, 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"matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "exvisation", "workgroup_id": "vis", "drupal_id": 4248, "drupal_path": "/research/projects/exvisation", "name": "ExVisation: Expressive Visualization of Volumetric Data", "name_de": null, "short_title": "exvisation", "website": null, "status": "active", "short_abstract": "To develop novel methods for automatically generating expressive visualizations of complex volumetric data.
\r\n", "abstract": "To develop novel methods for automatically generating expressive visualizations of complex volumetric data.
\r\n", "start_date": "2005-08-01", "end_date": "2009-12-31", "leader_id": { "id": 171, "drupal_id": 168, "orcid_id": "0000-0003-4248-6574", "website": "https://www.cg.tuwien.ac.at/staff/IvanViola", "firstname": "Ivan", "lastname": "Viola", "searchname": "Ivan Viola", "is_teacher": true, "name": "Ivan Viola", "publications": [ "2013_Viola_Ivan_2013_MTS", "Alharbi_2021", "Artner-2004-Hig", "Artner-2005-Hig", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "boffi-2024-bagginghook", "bruckner-2005-vid", "bruckner-2010-HVC", "burns-2007-fea", "cellVIEW_2015", "Chen-Information-2016", "Cornel2016CFM", "Csebfalvi-2002-FPVF", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "eg-tut2005-iv", "Ford-2012-HRV", "Furmanova_2018", "Gehrer-2017-molmach", "Groeller-2017-PTPMD", "Hadwiger-2002-Fas", "Halladjian_2020", "Kehl-Direct-2016", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PMP", "koch_bernhard_2018-1", "Kolesar-Fractional-2016", "kolesar-ivan-2014-polymers", "Konev-FCV2018", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Kozlikova-Visualization-2016b", "Krone2016VABC", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "li-2019-gdc", "Masterthesis-Viola", "Mazza_2020", "Miao_2019", "miao_nantech_2019", "miao_nar_2020", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "mindek-2015-mc", "mindek-2017-marion", "mindek-2017-virtualcell", "Neumann-2002-Fea", "nguyen_2020-covid", "patel-2010-SVV", "phd-viola", "polatsek-2018-stv", "Rautek-2008-kav", "Rautek-2008-VF", "Rautek06Vis", "Reisacher2016", "ruiz-2008-OVR", "ruiz-2008-SEV", "Sarkis_2021", "Sbardellati-2019-vcbm", "sbert-2017-sa_course_0023", "seyfert-2017", "solteszova-2010-MOS", "Solteszova2016", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "toth-2007-ndd", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "vad_viktor-2017-WVE", "vad-2016-bre", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-2007-ort", 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This talk covers two important aspects of illustrative visualization of volume data: exploration and communication. Exploration deals with techniques for the rapid visualization of data with limited or no prior knowledge about the nature and/or structure of the data. Communication, on the other hand, is concerned with conveying complex structures or relationships to individuals. The talk discusses recent approaches in both areas.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 768, "image_height": 863, "name": "bruckner-2005-AIV-image.jpg", "type": "image/jpeg", "size": 120918, "path": "Publication:bruckner-2005-AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161 ], "date_from": "2005-10-06", "date_to": "2005-10-06", "location": "Magdeburg, Germany", "research_areas": [], "keywords": [ "exploration", "illustrative visualization", "communication" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 768, "image_height": 863, "name": "bruckner-2005-AIV-image.jpg", "type": "image/jpeg", "size": 120918, "path": "Publication:bruckner-2005-AIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/", "__class": "Publication" }, { "id": "bruckner-2005-vid", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "VolumeShop: Interactive Direct Volume Illustration", "date": "2005-08", "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. Many specimen are readily available as volumetric data sets, particular in medicine. Illustrations, however, are commonly produced manually as static images in a time-consuming process. Our goal is to create a fully dynamic three-dimensional illustration environment which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. We present methods to realize such a system which combines artistic visual styles and expressive visualization techniques. Our implementation exploits the latest generation of GPUs and, thus, is capable of handling commonly sized data sets at interactive frame rates. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 776, "image_height": 848, "name": "bruckner-2005-vid-image.jpg", "type": "image/jpeg", "size": 92873, "path": "Publication:bruckner-2005-vid", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 171, 166 ], "booktitle": "ACM Siggraph 2005 DVD Proceedings (Technical Sketch)", "date_from": "2005-07-31", "date_to": "2005-08-04", "lecturer": [ 161 ], "location": "Los Angeles, USA", "research_areas": [], "keywords": [ "focus+context techniques", "volume rendering", "illustrative techniques" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 776, "image_height": 848, "name": "bruckner-2005-vid-image.jpg", "type": "image/jpeg", "size": 92873, "path": "Publication:bruckner-2005-vid", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Sketch", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2005-vid-Sketch.pdf", "type": "application/pdf", "size": 512165, "path": "Publication:bruckner-2005-vid", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-Sketch.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-Sketch:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/", "__class": "Publication" }, { "id": "bruckner-2005-VIS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "VolumeShop: An Interactive System for Direct Volume Illustration", "date": "2005-10", "abstract": "Illustrations play a major role in the education process. Whether\r\nused to teach a surgical or radiologic procedure, to illustrate normal\r\nor aberrant anatomy, or to explain the functioning of a technical\r\ndevice, illustration significantly impacts learning. Although\r\nmany specimens are readily available as volumetric data sets, particularly\r\nin medicine, illustrations are commonly produced manually\r\nas static images in a time-consuming process. Our goal is to\r\ncreate a fully dynamic three-dimensional illustration environment\r\nwhich directly operates on volume data. Single images have the\r\naesthetic appeal of traditional illustrations, but can be interactively\r\naltered and explored. In this paper we present methods to realize\r\nsuch a system which combines artistic visual styles and expressive\r\nvisualization techniques. We introduce a novel concept for direct\r\nmulti-object volume visualization which allows control of the appearance\r\nof inter-penetrating objects via two-dimensional transfer\r\nfunctions. Furthermore, a unifying approach to efficiently integrate\r\nmany non-photorealistic rendering models is presented. We discuss\r\nseveral illustrative concepts which can be realized by combining\r\ncutaways, ghosting, and selective deformation. Finally, we\r\nalso propose a simple interface to specify objects of interest through\r\nthree-dimensional volumetric painting. All presented methods are\r\nintegrated into VolumeShop, an interactive hardware-accelerated\r\napplication for direct volume illustration.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 768, "image_height": 768, "name": "bruckner-2005-VIS-image.jpg", "type": "image/jpeg", "size": 72208, "path": "Publication:bruckner-2005-VIS", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "booktitle": "Proceedings of IEEE Visualization 2005", "date_from": "2005-10-23", "date_to": "2005-10-28", "editor": "C. T. Silva, E. 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Rushmeier", "isbn": "0780394623", "location": "Minneapolis, USA", "pages_from": "671", "pages_to": "678", "research_areas": [], "keywords": [ "focus+context techniques", "illustrative visualization", "volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Carp", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2005-VIS-Carp.avi", "type": "video/x-msvideo", "size": 3704832, "path": "Publication:bruckner-2005-VIS", "preview_name": "bruckner-2005-VIS-Carp:preview.png", "preview_type": "image/jpeg", "preview_size": 7581, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Carp.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Carp:thumb{{size}}.png", "video_mp4": 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"repositum_id": null, "title": "Exploded Views for Volume Data", "date": "2006-09", "abstract": "Exploded views are an illustration technique where an\r\nobject is partitioned into several segments. These segments are\r\ndisplaced to reveal otherwise hidden detail. In this paper we apply\r\nthe concept of exploded views to volumetric data in order to solve\r\nthe general problem of occlusion. In many cases an object of\r\ninterest is occluded by other structures. While transparency or\r\ncutaways can be used to reveal a focus object, these techniques\r\nremove parts of the context information. Exploded views, on the\r\nother hand, do not suffer from this drawback. Our approach employs a\r\nforce-based model: the volume is divided into a part configuration\r\ncontrolled by a number of forces and constraints. The focus object\r\nexerts an explosion force causing the parts to arrange according to\r\nthe given constraints. We show that this novel and flexible approach\r\nallows for a wide variety of explosion-based visualizations\r\nincluding view-dependent explosions. Furthermore, we present a\r\nhigh-quality GPU-based volume ray casting algorithm for exploded\r\nviews which allows rendering and interaction at several frames per\r\nsecond.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Exploded volume data view using part constraints", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 648, "name": "bruckner-2006-EVV-Image.jpg", "type": "image/jpeg", "size": 94393, "path": "Publication:bruckner-2006-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "date_from": "2006-10-29", "date_to": "2006-11-03", "event": "IEEE Visualization 2006", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 161 ], "number": "5", "pages_from": "1077", "pages_to": "1084", "volume": "12", "research_areas": [], "keywords": [ "exploded views", "illustrative visualization", "volume rendering" ], "weblinks": [], "files": [ { "description": "Exploded views demonstration (DivX encoded AVI video) ", "filetitle": "Demonstration", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 175, "preview_image_height": 175, "name": "bruckner-2006-EVV-Demonstration.avi", "type": "", "size": 30501888, "path": "Publication:bruckner-2006-EVV", "preview_name": "bruckner-2006-EVV-Demonstration:preview.png", "preview_type": "image/png", "preview_size": 55664, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Demonstration.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Demonstration:thumb{{size}}.png" }, { "description": "Exploded volume data view using part constraints", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 648, "name": "bruckner-2006-EVV-Image.jpg", "type": "image/jpeg", "size": 94393, "path": "Publication:bruckner-2006-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2006-EVV-Paper.pdf", "type": "application/pdf", "size": 2483649, "path": "Publication:bruckner-2006-EVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/", "__class": "Publication" }, { "id": "bruckner-2006-ICE", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Illustrative Context-Preserving Exploration of Volume Data", "date": "2006-11", "abstract": "In volume rendering it is very difficult to simultaneously visualize\ninterior and exterior structures while preserving clear shape cues.\nHighly transparent transfer functions produce cluttered images with\nmany overlapping structures, while clipping techniques completely\nremove possibly important context information. In this paper we\npresent a new model for volume rendering, inspired by techniques\nfrom illustration. It provides a means of interactively inspecting\nthe interior of a volumetric data set in a feature-driven way which\nretains context information. The context-preserving volume rendering\nmodel uses a function of shading intensity, gradient magnitude,\ndistance to the eye point, and previously accumulated opacity to\nselectively reduce the opacity in less important data regions. It is\ncontrolled by two user-specified parameters. This new method\nrepresents an alternative to conventional clipping techniques,\nshares their easy and intuitive user control, but does not suffer\nfrom the drawback of missing context information.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2013, "image_height": 1686, "name": "bruckner-2006-ICE-image.jpg", "type": "image/jpeg", "size": 313519, "path": "Publication:bruckner-2006-ICE", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 160, 162, 166 ], "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "6", "pages_from": "1559", "pages_to": "1569", "volume": "12", "research_areas": [ "IllVis" ], "keywords": [ "focus+context techniques", "volume rendering", "illustrative visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Hand", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Hand.avi", "type": "video/x-msvideo", "size": 4198400, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Hand:preview.png", "preview_type": "image/jpeg", "preview_size": 35567, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand:video.mp4" }, { "description": null, "filetitle": "Head", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Head.avi", "type": "video/x-msvideo", "size": 5786112, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Head:preview.png", "preview_type": "image/jpeg", "preview_size": 29484, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head:video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2013, "image_height": 1686, "name": "bruckner-2006-ICE-image.jpg", "type": "image/jpeg", "size": 313519, "path": "Publication:bruckner-2006-ICE", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2006-ICE-Paper.pdf", "type": "application/pdf", "size": 3733897, "path": "Publication:bruckner-2006-ICE", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Stagbeetle", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Stagbeetle.avi", "type": "video/x-msvideo", "size": 5568000, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Stagbeetle:preview.png", "preview_type": "image/jpeg", "preview_size": 12961, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle:video.mp4" }, { "description": null, "filetitle": "Tooth", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Tooth.avi", "type": "video/x-msvideo", "size": 1542656, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Tooth:preview.png", "preview_type": "image/jpeg", "preview_size": 32207, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth:video.mp4" }, { "description": null, "filetitle": "Visible", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Visible.avi", "type": "video/x-msvideo", "size": 6432256, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Visible:preview.png", "preview_type": "image/jpeg", "preview_size": 36065, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible:video.mp4" }, { "description": null, "filetitle": "Wholebody", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 128, "preview_image_height": 128, "name": "bruckner-2006-ICE-Wholebody.avi", "type": "video/x-msvideo", "size": 5114368, "path": "Publication:bruckner-2006-ICE", "preview_name": "bruckner-2006-ICE-Wholebody:preview.png", "preview_type": "image/jpeg", "preview_size": 7067, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/", "__class": "Publication" }, { "id": "bruckner-2007-EDF", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Enhancing Depth-Perception with Flexible Volumetric Halos", "date": "2007-10", "abstract": "Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, such as shading, contours, and shadows. Artists and illustrators frequently employ halos for this purpose. In this technique, regions surrounding the edges of certain structures are darkened or brightened which makes it easier to judge occlusion. Based on this concept, we present a flexible method for enhancing and highlighting structures of interest using GPU-based direct volume rendering. Our approach uses an interactively defined halo transfer function to classify structures of interest based on data value, direction, and position. A feature-preserving spreading algorithm is applied to distribute seed values to neighboring locations, generating a controllably smooth field of halo intensities. These halo intensities are then mapped to colors and opacities using a halo profile function. Our method can be used to annotate features at interactive frame rates.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Volume rendering of a human skull using volumetric halos", "filetitle": "Human Skull", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 734, "image_height": 734, "name": "bruckner-2007-EDF-Human Skull.jpg", "type": "image/jpeg", "size": 49210, "path": "Publication:bruckner-2007-EDF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "date_from": "2007-10-28", "date_to": "2007-11-01", "event": "IEEE Visualization 2007", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 161 ], "location": "Sacramento, California, USA", "number": "6", "pages_from": "1344", "pages_to": "1351", "volume": "13", "research_areas": [], "keywords": [ "volume rendering", "illustrative visualization", "halos" ], "weblinks": [], "files": [ { "description": "Volume rendering of a human skull using volumetric halos", "filetitle": "Human Skull", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 734, "image_height": 734, "name": "bruckner-2007-EDF-Human Skull.jpg", "type": "image/jpeg", "size": 49210, "path": "Publication:bruckner-2007-EDF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2007-EDF-Paper.pdf", "type": "application/pdf", "size": 16960434, "path": "Publication:bruckner-2007-EDF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Paper:thumb{{size}}.png" }, { "description": "Demonstration video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2007-EDF-Video.avi", "type": "video/x-msvideo", "size": 37617126, "path": "Publication:bruckner-2007-EDF", "preview_name": "bruckner-2007-EDF-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 36770, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Video:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/", "__class": "Publication" }, { "id": "bruckner-2007-STF", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Style Transfer Functions for Illustrative Volume Rendering", "date": "2007-09", "abstract": "Illustrative volume visualization frequently employs non-photorealistic rendering techniques to enhance important features or to suppress unwanted details. However, it is difficult to integrate multiple non-photorealistic rendering approaches into a single framework due to great differences in the individual methods and their parameters. In this paper, we present the concept of style transfer functions. Our approach enables flexible data-driven illumination which goes beyond using the transfer function to just assign colors and opacities. An image-based lighting model uses sphere maps to represent non-photorealistic rendering styles. Style transfer functions allow us to combine a multitude of different shading styles in a single rendering. We extend this concept with a technique for curvature-controlled style contours and an illustrative transparency model. Our implementation of the presented methods allows interactive generation of high-quality volumetric illustrations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustrative volume rendering of a human head using style transfer functions", "filetitle": "Head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 875, "image_height": 1062, "name": "bruckner-2007-STF-Head.png", "type": "image/png", "size": 1499331, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "date_from": "2007-09-03", "date_to": "2007-09-07", "event": "Eurographics 2007", "journal": "Computer Graphics Forum", "lecturer": [ 161 ], "location": "Prague, Czech Republic", "note": "Eurographics 2007 3rd Best Paper Award", "number": "3", "pages_from": "715", "pages_to": "724", "volume": "26", "research_areas": [ "IllVis" ], "keywords": [ "illustrative visualization", "transfer functions", "volume rendering" ], "weblinks": [], "files": [ { "description": "Illustrative volume rendering of a human head using style transfer functions", "filetitle": "Head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 875, "image_height": 1062, "name": "bruckner-2007-STF-Head.png", "type": "image/png", "size": 1499331, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head:thumb{{size}}.png" }, { "description": "Illustrative volume rendering of a human head using style transfer functions", "filetitle": "Human Head", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 875, "image_height": 1062, "name": "bruckner-2007-STF-Human Head.png", "type": "image/png", "size": 1499331, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Human Head.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Human Head:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2007-STF-Paper.pdf", "type": "application/pdf", "size": 13426711, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Paper:thumb{{size}}.png" }, { "description": "Demonstration video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2007-STF-Video.avi", "type": "", "size": 45491680, "path": "Publication:bruckner-2007-STF", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Video.avi", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/", "__class": "Publication" }, { "id": "bruckner-2008-IIV", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Illustrative Volume Visualization", "date": "2008-03", "abstract": "Illustrations are essential for the effective communication of complex subjects. Their production, however, is a difficult and expensive task. In recent years, three-dimensional imaging has become a vital tool not only in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still require a mainly manual and time-consuming process.\n\nThis thesis is devoted to the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The concept of a direct volume illustration system is introduced for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow flexible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views are introduced.\n\nThe visualization techniques presented in this thesis employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientific communication.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustrative visualization results", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "bruckner-2008-IIV-Teaser.jpg", "type": "image/jpeg", "size": 566494, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161 ], "date_end": "2008-03", "date_start": "2004-07", "rigorosum": "2008-04-11", "supervisor": [ 166 ], "research_areas": [ "IllVis" ], "keywords": [ "volume rendering", "illustrative visualization" ], "weblinks": [], "files": [ { "description": "High-resolution version for printing", "filetitle": "print version", "main_file": false, "use_in_gallery": false, "access": "public", "name": "bruckner-2008-IIV-print version.pdf", "type": "application/pdf", "size": 77521619, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-print version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-print version:thumb{{size}}.png" }, { "description": "Low-resolution version for screen viewing", "filetitle": "screen version", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2008-IIV-screen version.pdf", "type": "application/pdf", "size": 16108841, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-screen version.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-screen version:thumb{{size}}.png" }, { "description": "Illustrative visualization results", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1024, "image_height": 1024, "name": "bruckner-2008-IIV-Teaser.jpg", "type": "image/jpeg", "size": 566494, "path": "Publication:bruckner-2008-IIV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/", "__class": "Publication" }, { "id": "bruckner-2009-IVV", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Instant Volume Visualization using Maximum Intensity Difference Accumulation", "date": "2009-06", "abstract": "It has long been recognized that transfer function setup for Direct Volume Rendering (DVR) is crucial to its\r\nusability. However, the task of finding an appropriate transfer function is complex and time-consuming even for\r\nexperts. Thus, in many practical applications simpler techniques which do not rely on complex transfer functions\r\nare employed. One common example is Maximum Intensity Projection (MIP) which depicts the maximum value\r\nalong each viewing ray. In this paper, we introduce Maximum Intensity Difference Accumulation (MIDA), a new\r\napproach which combines the advantages of DVR and MIP. Like MIP, MIDA exploits common data characteristics\r\nand hence does not require complex transfer functions to generate good visualization results. It does, however,\r\nfeature occlusion and shape cues similar to DVR. Furthermore, we show that MIDA – in addition to being a useful\r\ntechnique in its own right – can be used to smoothly transition between DVR and MIP in an intuitive manner.\r\nMIDA can be easily implemented using volume raycasting and achieves real-time performance on current graphics\r\nhardware.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Maximum Intensity Difference Accumulation (MIDA) of an MRI angiography data set", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 583, "image_height": 815, "name": "bruckner-2009-IVV-Teaser.png", "type": "image/png", "size": 388611, "path": "Publication:bruckner-2009-IVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "date_from": "2009-06-10", "date_to": "2009-06-12", "event": "EuroVis 2009", "issn": "0167-7055", "journal": "Computer Graphics Forum", "lecturer": [ 161 ], "location": "Berlin, Germany", "number": "3", "pages_from": "775", "pages_to": "782", "volume": "28", "research_areas": [], "keywords": [ "illustrative visualization", "maximum intensity projection", "direct volume rendering" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01474.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bruckner-2009-IVV-Paper.pdf", "type": "application/pdf", "size": 9038571, "path": "Publication:bruckner-2009-IVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Paper:thumb{{size}}.png" }, { "description": "Maximum Intensity Difference Accumulation (MIDA) of an MRI angiography data set", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 583, "image_height": 815, "name": "bruckner-2009-IVV-Teaser.png", "type": "image/png", "size": 388611, "path": "Publication:bruckner-2009-IVV", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser:thumb{{size}}.png" }, { "description": "Animation sequence comparing DVR, MIDA, and MIP applied to a MRI scan", "filetitle": "Video 1", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2009-IVV-Video 1.avi", "type": "video/x-msvideo", "size": 10304390, "path": "Publication:bruckner-2009-IVV", "preview_name": "bruckner-2009-IVV-Video 1:preview.png", "preview_type": "image/jpeg", "preview_size": 29744, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 1.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 1:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 1:video.mp4" }, { "description": "Animation sequence comparing DVR, MIDA, and MIP applied to an Ultramicroscopy scan of a mouse embryo", "filetitle": "Video 2", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2009-IVV-Video 2.avi", "type": "video/x-msvideo", "size": 16031386, "path": "Publication:bruckner-2009-IVV", "preview_name": "bruckner-2009-IVV-Video 2:preview.png", "preview_type": "image/jpeg", "preview_size": 34742, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 2.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 2:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 2:video.mp4" }, { "description": "Animation sequence comparing DVR, MIDA, and MIP applied to a CT scan of a backpack", "filetitle": "Video 3", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2009-IVV-Video 3.avi", "type": "video/x-msvideo", "size": 10555254, "path": "Publication:bruckner-2009-IVV", "preview_name": "bruckner-2009-IVV-Video 3:preview.png", "preview_type": "image/jpeg", "preview_size": 30029, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 3.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 3:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 3:video.mp4" }, { "description": "Animation sequence comparing DVR, MIDA, and MIP applied to a CT scan", "filetitle": "Video 4", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "bruckner-2009-IVV-Video 4.avi", "type": "video/x-msvideo", "size": 6338010, "path": "Publication:bruckner-2009-IVV", "preview_name": "bruckner-2009-IVV-Video 4:preview.png", "preview_type": "image/jpeg", "preview_size": 24963, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 4.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 4:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 4:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/", "__class": "Publication" }, { "id": "diss-thesis-bratislava", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005", "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-bratislava-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-bratislava", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2005-10-10", "event": "Dissertation Thesis Report", "location": "Comenius University Bratislava, Slovakia", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-bratislava-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-bratislava", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/", "__class": "Publication" }, { "id": "diss-thesis-magdeburg", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005", "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-magdeburg-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-magdeburg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2005-10-06", "event": "Dissertation Thesis Report", "location": "University of Magdeburg, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-magdeburg-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-magdeburg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/", "__class": "Publication" }, { "id": "diss-thesis-siegen", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005", "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-siegen-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-siegen", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2005-11-11", "event": "Dissertation Thesis Report", "location": "University of Siegen, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 416, "image_height": 451, "name": "diss-thesis-siegen-image.jpg", "type": "image/jpeg", "size": 45104, "path": "Publication:diss-thesis-siegen", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/", "__class": "Publication" }, { "id": "eg-tut2005-iv", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.\nSuch techniques exploit the perception of the human visual system and provide effective visual abstractions\nto make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166, 231, 226, 563, 564 ], "booktitle": "Tutorial Notes on Illustrative Visualization", "publisher": "Eurographics", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 81, "name": "eg-tut2005-iv-image.jpg", "type": "image/jpeg", "size": 4401, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "eg-tut2005-iv-Tutorial Notes.pdf", "type": "application/pdf", "size": 18410027, "path": "Publication:eg-tut2005-iv", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "__class": "Publication" }, { "id": "Marek06", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Flowfield-driven Volume Deformation", "date": "2006", "abstract": "The volumetric flow (compare optical flow in 2D) is defined as the change of the volume over time. We define the volumetric flow on a regular grid. At each voxel position on the grid, a vector is defined, which is the flow on this position. Between voxels the volumetric flow is defined by the trilinear interpolation of the surrounding voxels.\r\nThe project is divided in three subtasks: The specification, the visualization and the categorization of the volumetric flow. The goals of this computer science project are the first two subtasks: the interactive specification and visualization of the volumetric flow.\r\nFor documentation goto: http://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/SMarek/htmldoc/index.html", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 320, "image_height": 240, "name": "Marek06-.jpg", "type": "image/jpeg", "size": 21867, "path": "Publication:Marek06", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 653 ], "supervisor": [ 488 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 320, "image_height": 240, "name": "Marek06-.jpg", "type": "image/jpeg", "size": 21867, "path": "Publication:Marek06", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-:thumb{{size}}.png" }, { "description": "Dokumentation, Src, Bin", "filetitle": "zip-archive", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Marek06-zip-archive.zip", "type": "application/x-zip", "size": 15696869, "path": "Publication:Marek06", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-zip-archive.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/", "__class": "Publication" }, { "id": "Rautek-2007-O3D", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization of Deformation Data Based on High Density Point Clouds", "date": "2007", "abstract": "Modern deformation monitoring techniques offer possibilities to measure and analyze deformation processes in detail. There are various different sensor systems on the market that can be used in these application fields, each having specific features in terms of accuracy, robustness, user interaction, operational range, measurement speed and frequency, resolution, or other relevant parameters. The selection of an appropriate sensor system for a particular application is not trivial.\r\n\r\nIn recent years research on image-based measurement systems and laser scanners has gained increasing interest – in many cases a combination of different sensors has advantages over a single-sensor system (e.g. different accuracy and reliability classes, different measurement range, etc.).\r\n\r\nThe point clouds produced by such systems potentially consist of a vast number of points. One of the main problems concerning the analysis and interpretation of deformation measurements is the visualization of the data respectively of the underlying deformation. In this paper we present the application of the recently developed caricaturistic visualization method to deformation data based on high density point clouds. Caricaturistic visualization depicts the deformation data in an exaggerated way. The exaggeration of the deformation accents subtle deviations and supports the viewer for the correct interpretation of the underlying deformation. We show results for facade deformation data as well as for landslide data.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 416, "name": "Rautek-2007-O3D-.jpg", "type": "image/jpeg", "size": 257841, "path": "Publication:Rautek-2007-O3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 664, 166 ], "booktitle": "8th Conference on Optical 3-D Measurement Techniques, Zurich, Switzerland", "date_from": "2007-07-09", "date_to": "2007-07-12", "research_areas": [], "keywords": [ "Point Cloud", "Deformation Measurement", "Visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 416, "name": "Rautek-2007-O3D-.jpg", "type": "image/jpeg", "size": 257841, "path": "Publication:Rautek-2007-O3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-:thumb{{size}}.png" }, { "description": "", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek-2007-O3D-poster.pdf", "type": "application/pdf", "size": 9353734, "path": "Publication:Rautek-2007-O3D", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/", "__class": "Publication" }, { "id": "Rautek-2007-SLI", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semantic Layers for Illustrative Volume Rendering", "date": "2007-10", "abstract": "Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive.\nWe present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. \nWe introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. \nA semantic layer defines the mapping of volumetric attributes to one visual style. \nVolumetric attributes and visual styles are represented as fuzzy sets.\nThe mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek-2007-SLI-image.jpg", "type": "image/jpeg", "size": 81669, "path": "Publication:Rautek-2007-SLI", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166 ], "date_from": "2007-10-28", "date_to": "2007-11-01", "event": "IEEE Visualization 2007", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 488 ], "location": "Sacramento, California, USA", "note": "to be presented at IEEE Visualization 2007", "number": "6", "pages_from": "1336", "pages_to": "1343", "volume": "13", "research_areas": [ "IllVis" ], "keywords": [ "Illustrative Visualization", "Volume Visualization", "Focus+Context Techniques" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek-2007-SLI-image.jpg", "type": "image/jpeg", "size": 81669, "path": "Publication:Rautek-2007-SLI", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek-2007-SLI-paper.pdf", "type": "application/pdf", "size": 11683201, "path": "Publication:Rautek-2007-SLI", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1600, "preview_image_height": 1144, "name": "Rautek-2007-SLI-video.avi", "type": "video/x-msvideo", "size": 24765278, "path": "Publication:Rautek-2007-SLI", "preview_name": "Rautek-2007-SLI-video:preview.png", "preview_type": "image/jpeg", "preview_size": 29347, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/", "__class": "Publication" }, { "id": "Rautek-2008-IDS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Interaction-Dependent Semantics for Illustrative Volume Rendering", "date": "2008-05", "abstract": "In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of\nthe artist. For illustrative volume visualizations it is difficult to specify the mapping between the 3D data and the visual representation that preserves the intention of the user. The semantic layers concept establishes this mapping with a linguistic formulation of rules that directly map data features to rendering styles. With semantic layers fuzzy logic is used to evaluate the user defined illustration rules in a preprocessing step.\nIn this paper we introduce interaction-dependent rules that are evaluated for each frame and are therefore computationally more expensive. Enabling interaction-dependent rules, however, allows the use of a new class of semantics, resulting in more expressive interactive illustrations. We show that the evaluation of the fuzzy logic can be done on the graphics hardware enabling the efficient use of interaction-dependent semantics. Further\nwe introduce the flat rendering mode and discuss how different rendering parameters are influenced by the rule\nbase. Our approach provides high quality illustrative volume renderings at interactive frame rates, guided by the\nspecification of illustration rules.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 793, "image_height": 475, "name": "Rautek-2008-IDS-image.png", "type": "image/png", "size": 211033, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166 ], "event": "Eurographics/ IEEE-VGTC Symposium on Visualization", "journal": "Computer Graphics Forum", "lecturer": [ 488 ], "location": "Eindhoven, The Netherlands", "number": "3", "pages_from": "847", "pages_to": "854", "volume": "27", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image-result", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 332, "image_height": 598, "name": "Rautek-2008-IDS-image-result.png", "type": "image/png", "size": 178836, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result:thumb{{size}}.png" }, { "description": null, "filetitle": "image-result01", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 437, "image_height": 605, "name": "Rautek-2008-IDS-image-result01.png", "type": "image/png", "size": 180091, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result01.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result01:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 793, "image_height": 475, "name": "Rautek-2008-IDS-image.png", "type": "image/png", "size": 211033, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Rautek-2008-IDS-paper.pdf", "type": "application/pdf", "size": 6701122, "path": "Publication:Rautek-2008-IDS", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "Rautek-2008-IDS-video.avi", "type": "video/x-msvideo", "size": 25194564, "path": "Publication:Rautek-2008-IDS", "preview_name": "Rautek-2008-IDS-video:preview.png", "preview_type": "image/jpeg", "preview_size": 18454, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/", "__class": "Publication" }, { "id": "Rautek-2008-kav", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Visual Abstractions and Interaction Metaphors for Knowledge Assisted Volume Visualization", "date": "2008", "abstract": "Extended abstract published at Knowledge-assisted Visualization Workshop (colocated with the IEEE Visualization 2008 conference): \r\n\r\nhttp://kav.cs.wright.edu/", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1105, "image_height": 814, "name": "Rautek-2008-kav-image.bmp", "type": "image/x-ms-bmp", "size": 2699278, "path": "Publication:Rautek-2008-kav", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 171 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1105, "image_height": 814, "name": "Rautek-2008-kav-image.bmp", "type": "image/x-ms-bmp", "size": 2699278, "path": "Publication:Rautek-2008-kav", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek-2008-kav-paper.pdf", "type": "application/pdf", "size": 763946, "path": "Publication:Rautek-2008-kav", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/", "__class": "Publication" }, { "id": "Rautek-2008-VF", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Illustrative Visualization – New Technology or Useless Tautology?", "date": "2008", "abstract": "This article can be accessed online in the \nACM SIGGRAPH, Computer Graphics Quarterly, \nVolume 42, Number 3:\n\nhttp://www.siggraph.org/publications/newsletter/volume-42-number-3/illustrative-visualization-2013-new-technology-or-useless-tautology", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 265, "image_height": 135, "preview_image_width": 256, "preview_image_height": 127, "name": "Rautek-2008-VF-image.png", "type": "image/png", "size": 6939, "path": "Publication:Rautek-2008-VF", "preview_name": "Rautek-2008-VF-image:preview.png", "preview_type": "image/png", "preview_size": 7568, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166, 171 ], "note": "online journal, without talk", "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 265, "image_height": 135, "preview_image_width": 256, "preview_image_height": 127, "name": "Rautek-2008-VF-image.png", "type": "image/png", "size": 6939, "path": "Publication:Rautek-2008-VF", "preview_name": "Rautek-2008-VF-image:preview.png", "preview_type": "image/png", "preview_size": 7568, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/", "__class": "Publication" }, { "id": "rautek-2009-vmv", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Semantic Visualization Mapping for Volume Illustration", "date": "2009", "abstract": "Scientific visualization is the discipline of automatically rendering images from\r\nscientific data. Adequate visual abstractions are important to show relevant information\r\nin the data. Visual abstractions are a trade-off between showing detailed\r\ninformation and preventing visual overload. To use visual abstractions for the\r\ndepiction of data, a mapping from data attributes to visual abstractions is needed.\r\nThis mapping is called the visualization mapping.\r\nThis thesis reviews the history of visual abstractions and visualizationmapping\r\nin the context of scientific visualization. Later a novel visual abstraction method\r\ncalled caricaturistic visualization is presented. The concept of exaggeration is the\r\nvisual abstraction used for caricaturistic visualization. Principles from traditional\r\ncaricatures are used to accentuate salient details of data while sparsely sketching\r\nthe context.\r\nThe visual abstractions described in this thesis are inspired by visual art and\r\nmostly by traditional illustration techniques. To make effective use of the recently\r\ndeveloped visualizationmethods, that imitate illustration techniques, an expressive\r\nvisualization mapping approach is required. In this thesis a visualization mapping\r\nmethod is investigated that makes explicit use of semantics to describe mappings\r\nfrom data attributes to visual abstractions. The semantic visualization mapping\r\nexplicitly uses domain semantics and visual abstraction semantics to specify visualization\r\nrules. Illustrative visualization results are shown that are achieved with\r\nthe semantic visualization mapping.\r\nThe behavior of the automatically rendered interactive illustrations is specified\r\nusing interaction-dependent visualization rules. Interactions like the change of the\r\nviewpoint, or the manipulation of a slicing plane are state of the art in volume\r\nvisualization. In this thesis a method for more elaborate interaction techniques is\r\npresented. The behavior of the illustrations is specified with interaction-dependent\r\nrules that are integrated in the semantic visualization mapping approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 373, "image_height": 410, "name": "rautek-2009-vmv-image.jpg", "type": "image/jpeg", "size": 36775, "path": "Publication:rautek-2009-vmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488 ], "co_supervisor": [ 171 ], "date_end": "2009-01", "date_start": "2005-11", "rigorosum": "2009-01-27", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 373, "image_height": 410, "name": "rautek-2009-vmv-image.jpg", "type": "image/jpeg", "size": 36775, "path": "Publication:rautek-2009-vmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "rautek-2009-vmv-paper.pdf", "type": "application/pdf", "size": 3330018, "path": "Publication:rautek-2009-vmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/", "__class": "Publication" }, { "id": "Rautek06Vis", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization", "date": "2006-11", "abstract": "Caricatures are pieces of art depicting persons or sociological conditions in a non-veridical way. In both cases caricatures are referring to a reference model. The deviations from the reference model are the characteristic features of the depicted subject. Good caricatures exaggerate the characteristics of a subject in order to accent them. The concept of caricaturistic visualization is based on the caricature metaphor. The aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating deviations from the reference model. We present the general concept of caricaturistic visualization as well as a variety of examples.\r\nWe investigate different visual representations for the depiction of caricatures. Further, we present the caricature matrix, a technique to make differences between datasets easily identifiable.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Caricaturistic Visualization Example ", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek06Vis-image.jpg", "type": "image/jpeg", "size": 84992, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 171, 166 ], "date_from": "2006-10", "date_to": "2006-11", "event": "IEEE Visualization 2006", "issn": "1077-2626", "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 488 ], "location": "Baltimore, USA", "number": "5", "pages_from": "1085", "pages_to": "1092", "volume": "12", "research_areas": [], "keywords": [ "Focus+Context Techniques", "Volume Visualization", "Illustrative Visualization" ], "weblinks": [], "files": [ { "description": "Caricaturistic Visualization Example ", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "Rautek06Vis-image.jpg", "type": "image/jpeg", "size": 84992, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek06Vis-paper.pdf", "type": "application/pdf", "size": 14813160, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-paper:thumb{{size}}.png" }, { "description": "Caricaturistic Facade Deformation", "filetitle": "video1", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek06Vis-video1.avi", "type": "", "size": 542520, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-video1.avi", "thumb_image_sizes": [] }, { "description": "Caricaturistic Vessel Visualization", "filetitle": "video2", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Rautek06Vis-video2.avi", "type": "", "size": 12251136, "path": "Publication:Rautek06Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-video2.avi", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/", "__class": "Publication" }, { "id": "Rautek06VMLS", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization", "date": "2006", "abstract": "For many applications of medicine and life science, data is gathered or measured to find and to analyze the characteristics of the investigated object. Characteristics of a dataset can be expressed as the deviations from the norm. These deviations traditionally are found and classified using statistical methods. In many cases the statistical models do not appropriately describe the underlying phenomenon. They are therefore unsuitable for the data of interest. In this case visualization can replace the statistical methods. Expressive visualizations guide the user to find characteristics. Further the user is enabled to analyze the deviations of a given dataset.\r\nCaricaturistic visualization is an expressive method tailored to depict the deviations in an exaggerated way. It is guided by the idea of caricatures which exaggerate the outstanding features of an object. A method for caricaturistic visualization is presented and its power is shown on different examples. Caricaturistic visualization assumes the existence of a reference model. In many applications an explicit reference model is not available. To overcome this limitation different datasets are compared to each other. This results in the Caricature matrix, a 2D matrix of caricaturistic visualizations. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Caricaturistic Vessel Visualization", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 903, "name": "Rautek06VMLS-image.bmp", "type": "image/x-ms-bmp", "size": 1126998, "path": "Publication:Rautek06VMLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488 ], "date_from": "2006-07-19", "date_to": "2006-07-21", "event": "Workshop on Visualization in Medicine and Life Sciences", "location": "Rügen, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Caricaturistic Vessel Visualization", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 416, "image_height": 903, "name": "Rautek06VMLS-image.bmp", "type": "image/x-ms-bmp", "size": 1126998, "path": "Publication:Rautek06VMLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image:thumb{{size}}.png" }, { "description": "Slides of the presentation", "filetitle": "Presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Rautek06VMLS-Presentation.ppt", "type": "application/msword", "size": 23325696, "path": "Publication:Rautek06VMLS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-Presentation.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/", "__class": "Publication" }, { "id": "ruiz-2008-OVR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Obscurance-based Volume Rendering Framework", "date": "2008", "abstract": "Obscurances, from which ambient occlusion is a particular case, is a technology that produces natural-looking lighting effects in a faster way than global illumination. Its application in volume visualization is of special interest since it permits us to generate a high quality rendering at a low cost. In this paper, we propose an obscurance-based framework that allows us to obtain realistic and illustrative volume visualizations in an interactive manner. Obscurances can include color bleeding effects without additional cost. Moreover, we obtain a saliency map from the gradient of obscurances and we show its application to enhance volume visualization and to select the most salient views.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Obscurances-based Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 600, "name": "ruiz-2008-OVR-Image.jpg", "type": "image/jpeg", "size": 61553, "path": "Publication:ruiz-2008-OVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 741, 742, 171, 161, 608, 207 ], "booktitle": "Proceedings of Volume Graphics 2008", "lecturer": [ 207 ], "research_areas": [ "MedVis" ], "keywords": [ "volume rendering", "illustrative visualization", "ambient occlusion" ], "weblinks": [], "files": [ { "description": "Obscurances-based Volume Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 720, "image_height": 600, "name": "ruiz-2008-OVR-Image.jpg", "type": "image/jpeg", "size": 61553, "path": "Publication:ruiz-2008-OVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ruiz-2008-OVR-Paper.pdf", "type": "application/pdf", "size": 2216201, "path": "Publication:ruiz-2008-OVR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/", "__class": "Publication" }, { "id": "ruiz-2008-SEV", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Similarity-based Exploded Views", "date": "2008", "abstract": "Exploded views are often used in illustration to overcome the problem of occlusion when depicting complex structures. In this paper, we propose a volume visualization technique inspired by exploded views that partitions the volume into a number of parallel slabs and shows them apart from each other. The thickness of slabs is driven by the similarity between partitions. We use an information-theoretic technique for the generation of exploded views. First, the algorithm identifies the viewpoint from which the structure is the highest. Then, the partition of the volume into the most informative slabs for exploding is obtained using two complementary similarity-based strategies. The number of slabs and the similarity parameter are freely adjustable by the user.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Similarity-Based Exploded View Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 593, "image_height": 629, "name": "ruiz-2008-SEV-Image.jpg", "type": "image/jpeg", "size": 54063, "path": "Publication:ruiz-2008-SEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 741, 171, 742, 161, 608, 207 ], "booktitle": "Proceedings of Smart Graphics 2008", "lecturer": [ 608 ], "pages_from": "154", "pages_to": "165", "research_areas": [ "MedVis" ], "keywords": [ "volume visualization", "illustrative visualization", "exploded views" ], "weblinks": [], "files": [ { "description": "Similarity-Based Exploded View Rendering", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 593, "image_height": 629, "name": "ruiz-2008-SEV-Image.jpg", "type": "image/jpeg", "size": 54063, "path": "Publication:ruiz-2008-SEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "ruiz-2008-SEV-Paper.pdf", "type": "application/pdf", "size": 840611, "path": "Publication:ruiz-2008-SEV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/", "__class": "Publication" }, { "id": "TR-186-2-05-06", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Smart Visibility in Visualization", "date": "2005", "abstract": "In this paper we discuss expressive visualization techniques that smartly uncover the most important information\r\nin order to maximize the visual information of the underlying data. This is achieved through dynamic change in visual representations, through deformations, or through changing the spatial position of parts of the data. Such techniques originate from technical illustration and are called cut-away views, ghosted views, and exploded views. These illustrative techniques unveil the most important visual information by a high level of abstraction. The change in visual representation or spatial position is done in a way that is easily perceivable and the overall visual harmony is preserved.", "authors_et_al": false, "substitute": "Viola-05-Smart", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-05-06-Paper.pdf", "type": "application/pdf", "size": 1698237, "path": "Publication:TR-186-2-05-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-06/TR-186-2-05-06-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-06/TR-186-2-05-06-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-06/", "__class": "Publication" }, { "id": "TR-186-2-05-07", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Focus+Context Visualization of Features and Topological Structures", "date": "2005-09", "abstract": "Focus+Context Visualization has been widely used in Information Visualization\r\nto emphasize important structures while at the same time providing an overview on the surrounding data. This principle can also be used in scientific visualization to illustrate small but important features or topological\r\nstructures. In many visualizations topological structures are only displayed by themselves. They usually provide a rather sparse and highly abstract representation\r\nof the most important data characteristics. Focus+Context Visualization allows to also embed these sparse representations within the given\r\noriginal but dense data. How to avoid visual overload in this situation will\r\nbe one topic of this paper. Our previous work in the area of focus+context\r\nvisualization of features and topological structures will be shortly discussed.\r\nThese approaches include: importance-driven volume rendering, multi-volume rendering, feature emphasis in direct volume illustration, the VesselGlyph as a Focus & Context Visualization in CT-Angiography, streamarrows, visualization\r\nof Poincaré Sections, real-time techniques for 3D flow visualization.", "authors_et_al": false, "substitute": "viola-2007-ort", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-05-07-Report.pdf", "type": "application/pdf", "size": 9699320, "path": "Publication:TR-186-2-05-07", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/TR-186-2-05-07-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/TR-186-2-05-07-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/", "__class": "Publication" }, { "id": "TR-186-2-05-08", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "N-dimensional Data-Dependent Reconstruction Using Topological Changes", "date": "2005-09", "abstract": "We introduce a new concept for a geometrically based feature preserving reconstruction technique of n-dimensional scattered data. Our goal is to generate an n-dimensional triangulation, which preserves the high frequency regions via local topology changes. It is the generalization of a 2D reconstruction approach based on data-dependent triangulation and Lawson‘s optimization procedure. The definition of the mathematic optimum of the reconstruction is given. We discuss an original cost function and a generalization of known functions for\r\nthe n-dimensional case.", "authors_et_al": false, "substitute": "toth-2007-ndd", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 582, 171, 583, 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-05-08-Report.pdf", "type": "application/pdf", "size": 1996134, "path": "Publication:TR-186-2-05-08", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-08/TR-186-2-05-08-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-08/TR-186-2-05-08-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-08/", "__class": "Publication" }, { "id": "TR-186-2-06-01", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Caricaturistic Visualization", "date": "2006-04", "abstract": "Caricatures are pieces of art depicting persons or sociological conditions\r\nin a non-veridical way. In both cases caricatures are referring\r\nto a reference model. The deviations from the reference model are the characteristic\r\nfeatures of the depicted subject. Good caricatures exaggerate\r\nthe characteristics of a subject in order to accent them.\r\nThe concept of caricaturistic visualization is based on the caricature metaphor.\r\nThe aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating\r\ndeviations from the reference model. We present the general concept of caricaturistic visualization as well as an approach for volumetric data.\r\nOur approach investigates different visual representations for the depiction of caricatures. Further we present the caricature matrix, a technique to make differences between datasets easily identifiable.", "authors_et_al": false, "substitute": "Rautek06Vis", "main_image": { "description": "", "filetitle": "teaserimage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 350, "preview_image_width": 512, "preview_image_height": 512, "name": "TR-186-2-06-01-teaserimage.jpg", "type": "image/jpeg", "size": 112143, "path": "Publication:TR-186-2-06-01", "preview_name": "TR-186-2-06-01-teaserimage:preview.png", "preview_type": "image/jpeg", "preview_size": 84992, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 171, 166 ], "number": "TR-186-2-06-01", "research_areas": [], "keywords": [ "illustrative visualization", "volume visualization", "volume manipulation and deformation", "focus+context techniques" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-06-01-.pdf", "type": "application/pdf", "size": 8056566, "path": "Publication:TR-186-2-06-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-:thumb{{size}}.png" }, { "description": "", "filetitle": "Caricaturistic Volume Deformation of Nose", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 350, "name": "TR-186-2-06-01-Caricaturistic Volume Deformation of Nose.jpg", "type": "image/jpeg", "size": 112143, "path": "Publication:TR-186-2-06-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-Caricaturistic Volume Deformation of Nose.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-Caricaturistic Volume Deformation of Nose:thumb{{size}}.png" }, { "description": "", "filetitle": "teaserimage", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 350, "preview_image_width": 512, "preview_image_height": 512, "name": "TR-186-2-06-01-teaserimage.jpg", "type": "image/jpeg", "size": 112143, "path": "Publication:TR-186-2-06-01", "preview_name": "TR-186-2-06-01-teaserimage:preview.png", "preview_type": "image/jpeg", "preview_size": 84992, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/", "__class": "Publication" }, { "id": "TR-186-2-06-02", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Focus of Attention", "date": "2006-04", "abstract": "This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. An optimal viewpoint is estimated by a novel information-theoretic framework\r\nwhich is based on mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance\r\ndistribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on\r\nfeatures that are normally occluded by other parts of the volume, the focusing also incorporates cut-away views.", "authors_et_al": false, "substitute": "vis-foa", "main_image": { "description": "hand - arteria ulnaris", "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "TR-186-2-06-02-image2.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "research_areas": [], "keywords": [ "optimal viewpoint estimation", "interacting with volumetric datasets", "volume visualization", "illustrative visualization", "focus+context techniques" ], "weblinks": [], "files": [ { "description": "hand - arteria radialis", "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "TR-186-2-06-02-image1.jpg", "type": "image/jpeg", "size": 38254, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image1:thumb{{size}}.png" }, { "description": "hand - arteria ulnaris", "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "TR-186-2-06-02-image2.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2:thumb{{size}}.png" }, { "description": "hand - radius", "filetitle": "image3", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "TR-186-2-06-02-image3.jpg", "type": "image/jpeg", "size": 38389, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image3.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image3:thumb{{size}}.png" }, { "description": "stag beetle - legs", "filetitle": "image4", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 417, "image_height": 444, "name": "TR-186-2-06-02-image4.jpg", "type": "image/jpeg", "size": 27077, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image4.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image4:thumb{{size}}.png" }, { "description": "torso - bones", "filetitle": "image5", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 240, "image_height": 232, "name": "TR-186-2-06-02-image5.jpg", "type": "image/jpeg", "size": 28184, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image5.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image5:thumb{{size}}.png" }, { "description": "torso - intestine", "filetitle": "image6", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 202, "image_height": 298, "name": "TR-186-2-06-02-image6.jpg", "type": "image/jpeg", "size": 24789, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image6.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image6:thumb{{size}}.png" }, { "description": "torso - kidneys", "filetitle": "image7", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 184, "image_height": 298, "name": "TR-186-2-06-02-image7.jpg", "type": "image/jpeg", "size": 20185, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image7.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image7:thumb{{size}}.png" }, { "description": "torso - liver", "filetitle": "image8", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 249, "image_height": 231, "name": "TR-186-2-06-02-image8.jpg", "type": "image/jpeg", "size": 20401, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image8.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image8:thumb{{size}}.png" }, { "description": "torso - vessels", "filetitle": "image9", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 298, "name": "TR-186-2-06-02-image9.jpg", "type": "image/jpeg", "size": 24389, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image9.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image9:thumb{{size}}.png" }, { "description": "technical report pdf file", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-06-02-pdf.pdf", "type": "application/pdf", "size": 568185, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-pdf:thumb{{size}}.png" }, { "description": "visual presentation of hand data set", "filetitle": "video", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "TR-186-2-06-02-video.avi", "type": "video/x-msvideo", "size": 29168640, "path": "Publication:TR-186-2-06-02", "preview_name": "TR-186-2-06-02-video:preview.png", "preview_type": "image/tiff", "preview_size": 2308580, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-video:video.mp4" } ], "projects_workgroups": [ "GameTools", "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/", "__class": "Publication" }, { "id": "TR-186-2-06-03", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Exploded Views for Volume Data", "date": "2006-04", "abstract": "Exploded views are an illustration technique in which an object is\r\npartitioned into several segments. These segments are displaced to\r\nreveal otherwise hidden detail. In this paper we apply this concept\r\nto volumetric data in order to solve the general problem of\r\nocclusion. In many cases an object of interest is occluded by other\r\nstructures which nonetheless provide important context information.\r\nWhile transparency or cutaways can be used to reveal a focus object,\r\nthe problem of these techniques is that they remove parts of the\r\ninformation. Exploded views, on the other hand, do not suffer from\r\nthis drawback. Our approach employs a force-based model: the volume\r\nis divided into a part configuration controlled by a number of\r\nforces and constraints. The focus object exerts an explosion force\r\ncausing the parts to arrange according to the given constraints. We\r\nshow that this novel and flexible approach allows for a wide variety\r\nof explosion-based visualizations including view-dependent\r\nexplosions. Furthermore, we present a high-quality GPU-based volume\r\nray casting algorithm for exploded views which allows rendering and\r\ninteraction at several frames per second.", "authors_et_al": false, "substitute": "bruckner-2006-EVV", "main_image": { "description": "Exploded volume data view using part constraints", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 648, "name": "TR-186-2-06-03-Image.jpg", "type": "image/jpeg", "size": 271966, "path": "Publication:TR-186-2-06-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "research_areas": [], "keywords": [ "exploded views", "illustrative visualization", "volume rendering" ], "weblinks": [], "files": [ { "description": "Exploded views demonstration (DivX encoded AVI video)", "filetitle": "Demonstration", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 256, "preview_image_height": 256, "name": "TR-186-2-06-03-Demonstration.avi", "type": "video/x-msvideo", "size": 30501888, "path": "Publication:TR-186-2-06-03", "preview_name": "TR-186-2-06-03-Demonstration:preview.png", "preview_type": "image/jpeg", "preview_size": 52424, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Demonstration.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Demonstration:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Demonstration:video.mp4" }, { "description": "Exploded volume data view using part constraints", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 629, "image_height": 648, "name": "TR-186-2-06-03-Image.jpg", "type": "image/jpeg", "size": 271966, "path": "Publication:TR-186-2-06-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Technical Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-06-03-Technical Report.pdf", "type": "application/pdf", "size": 4097956, "path": "Publication:TR-186-2-06-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/", "__class": "Publication" }, { "id": "TR-186-2-07-02", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Style Transfer Functions for Illustrative Volume Rendering", "date": "2007-02", "abstract": "Illustrative volume visualization frequently employs non-photorealistic rendering techniques to enhance important features or to suppress unwanted details. However, it is difficult to integrate multiple non-photorealistic rendering approaches into a single framework due to great differences in the individual methods and their parameters. In this paper, we present the concept of style transfer functions. Our approach enables flexible data-driven illumination which goes beyond using the transfer function to just assign colors and opacities. An image-based lighting model uses sphere maps to represent non-photorealistic rendering styles. Style transfer functions allow us to combine a multitude of different shading styles in a single rendering. We extend this concept with a technique for curvature-controlled style contours and an illustrative transparency model. Our implementation of the presented methods allows interactive generation of high-quality volumetric illustrations.", "authors_et_al": false, "substitute": "bruckner-2007-STF", "main_image": { "description": "Illustrative volume rendering using style transfer functions", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-02-Image.jpg", "type": "image/jpeg", "size": 101798, "path": "Publication:TR-186-2-07-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "number": "TR-186-2-07-02", "research_areas": [], "keywords": [ "transfer functions", "illustrative visualization", "volume rendering" ], "weblinks": [], "files": [ { "description": "Illustrative volume rendering using style transfer functions", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-02-Image.jpg", "type": "image/jpeg", "size": 101798, "path": "Publication:TR-186-2-07-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Technical Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-02-Technical Report.pdf", "type": "application/pdf", "size": 3388998, "path": "Publication:TR-186-2-07-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/", "__class": "Publication" }, { "id": "TR-186-2-07-04", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Enhancing Depth-Perception with Flexible Volumetric Halos", "date": "2007-04", "abstract": "Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, such as shading, contours, and shadows. Artists and illustrators frequently employ halos for this purpose. In this technique, regions surrounding the edges of certain structures are darkened or brightened which makes it easier to judge occlusion. Based on this concept, we present a flexible method for enhancing and highlighting structures of interest using GPU-based direct volume rendering. Our approach uses an interactively defined halo transfer function to classify structures of interest based on data value, direction, and position. A feature-preserving spreading algorithm is applied to distribute seed values to neighboring locations, generating a controllably smooth field of halo intensities. These halo intensities are then mapped to colors and opacities using a halo profile function. Our method can be used to annotate features at interactive frame rates.", "authors_et_al": false, "substitute": "bruckner-2007-EDF", "main_image": { "description": "Haloed volume rendering of a human skull", "filetitle": "Skull", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 734, "image_height": 734, "name": "TR-186-2-07-04-Skull.jpg", "type": "image/jpeg", "size": 67880, "path": "Publication:TR-186-2-07-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 166 ], "number": "TR-186-2-07-04", "research_areas": [], "keywords": [ "illustrative visualization", "halos", "volume rendering" ], "weblinks": [], "files": [ { "description": "Haloed volume rendering of a human skull", "filetitle": "Skull", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 734, "image_height": 734, "name": "TR-186-2-07-04-Skull.jpg", "type": "image/jpeg", "size": 67880, "path": "Publication:TR-186-2-07-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull:thumb{{size}}.png" }, { "description": "", "filetitle": "Technical Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-04-Technical Report.pdf", "type": "application/pdf", "size": 3595024, "path": "Publication:TR-186-2-07-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/", "__class": "Publication" }, { "id": "TR-186-2-07-05", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Semantic Layers for Illustrative Volume Rendering", "date": "2007-04", "abstract": "Direct volume rendering techniques map volumetric attributes (e.g. density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive.\r\nWe present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. \r\nWe introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. \r\nA semantic layer defines the mapping of volumetric attributes to one visual style. \r\nVolumetric attributes and visual styles are represented as fuzzy sets.\r\nThe mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.\r\n", "authors_et_al": false, "substitute": "Rautek-2007-SLI", "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-05-.jpg", "type": "image/jpeg", "size": 167384, "path": "Publication:TR-186-2-07-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166 ], "number": "TR-186-2-07-05", "research_areas": [], "keywords": [ "Illustrative Visualization", "Focus+Context Techniques", "Volume Visualization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-05-.jpg", "type": "image/jpeg", "size": 167384, "path": "Publication:TR-186-2-07-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-:thumb{{size}}.png" }, { "description": "", "filetitle": "technical report", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 512, "preview_image_height": 512, "name": "TR-186-2-07-05-technical report.pdf", "type": "application/pdf", "size": 11642453, "path": "Publication:TR-186-2-07-05", "preview_name": "TR-186-2-07-05-technical report:preview.png", "preview_type": "image/jpeg", "preview_size": 167384, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-technical report:thumb{{size}}.png" }, { "description": "", "filetitle": "video (divx)", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-05-video (divx).avi", "type": "", "size": 24765278, "path": "Publication:TR-186-2-07-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-video (divx).avi", "thumb_image_sizes": [] }, { "description": "", "filetitle": "video (mpeg4)", "main_file": false, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-05-video (mpeg4).mov", "type": "application/octet-stream", "size": 50707574, "path": "Publication:TR-186-2-07-05", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-video (mpeg4).mov", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/", "__class": "Publication" }, { "id": "TR-186-2-07-10", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Semantics Driven Illustrative Rendering", "date": "2007-10", "abstract": "Illustrative visualization aims to effectively communicate a specific information.\r\nIn traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of the artist.\r\nFor illustrative volume visualizations it is difficult to specify the mapping between the 3D data and the visual representation.\r\nWe introduce a layer between data and visual appearance that allows the semantic specification of the visualization mapping.\r\nOur framework enables a linguistic formulation of rendering styles and techniques. A fuzzy logic rule base determines the constraints of the resulting interactive illustration.\r\nThe fuzzy logic is automatically translated into a shader program and is evaluated directly on the GPU. \r\nThe framework provides high quality illustrations that are guided by the specification of semantic illustration rules.\r\nThe evaluation of the fuzzy logic on the GPU allows user-guided and view-dependent changes of the resulting illustrations.\r\nWe show examples of semantics driven illustrative volume rendering at interactive frame rates.", "authors_et_al": false, "substitute": "Rautek-2008-IDS", "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 274, "image_height": 512, "name": "TR-186-2-07-10-.jpg", "type": "image/jpeg", "size": 93743, "path": "Publication:TR-186-2-07-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 161, 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 274, "image_height": 512, "name": "TR-186-2-07-10-.jpg", "type": "image/jpeg", "size": 93743, "path": "Publication:TR-186-2-07-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-10-paper.pdf", "type": "application/pdf", "size": 7021373, "path": "Publication:TR-186-2-07-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-paper:thumb{{size}}.png" }, { "description": "screenshot of the application", "filetitle": "screenshot", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 1140, "name": "TR-186-2-07-10-screenshot.jpg", "type": "image/jpeg", "size": 471162, "path": "Publication:TR-186-2-07-10", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-screenshot:thumb{{size}}.png" }, { "description": "", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 768, "name": "TR-186-2-07-10-video.avi", "type": "video/x-msvideo", "size": 35302472, "path": "Publication:TR-186-2-07-10", "preview_name": "TR-186-2-07-10-video:preview.png", "preview_type": "image/jpeg", "preview_size": 9763, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-video:video.mp4" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/", "__class": "Publication" }, { "id": "tut-eg-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Eurographics Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent and important research and developments from academia in illustrative, nonphotorealistic rendering (NPR) focusing on its use for medical/science subjects. Lectures are organized within\na comprehensive illustration framework, focusing on three main components:\n\n(a) Traditional and computerized illustration techniques and principles for Technical and Science Subjects,\n\n(b) Evaluation and Practical Use,\n\n(c) Viewing & Rendering. \n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of NPR techniques and\nalgorithms.\nWe begin with a lecture presenting an overview of traditional illustration in technical, science, and medical subjects\nfollowed by a description of the main components in a NPR pipeline for developing systems to help technical\nand science illustrators with their work. The tutorial progresses with an overview of the NPR used in illustration\nas well as approaches to evaluate their use and effectiveness. Following lectures describe the latest techniques in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering\ntechniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering.\nEach of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. Tutorial concludes with discussion on specific medical case studies where the illustrative visualization has been effectively applied.\n\nEurographics 2006 tutorial page:\nhttp://www.cg.tuwien.ac.at/events/EG06/program-t1022.php\n\nSee also previous tutorials on Illustrative Visualization:\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 563, 596, 631, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 281, "image_height": 300, "name": "tut-eg-2006-.png", "type": "image/png", "size": 54466, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization and Importance-Driven Retargeting", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Slides.zip", "type": "application/x-zip", "size": 54741002, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Slides.zip", "thumb_image_sizes": [] }, { "description": "Overview and complete notes to each contribution", "filetitle": "Tutorial Notes", "main_file": true, "use_in_gallery": false, "access": "public", "name": "tut-eg-2006-Tutorial Notes.pdf", "type": "application/pdf", "size": 9880748, "path": "Publication:tut-eg-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/", "__class": "Publication" }, { "id": "tut-siggraph-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "SIGGRAPH Course Illustrative Visualization for Medicine and Science", "date": "2006", "abstract": "Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.\n\nACM SIGGRAPH 2006 course page: http://www.siggraph.org/s2006/main.php?f=conference&p=courses&s=6\n\nFurther Information:\nhttp://pages.cpsc.ucalgary.ca/~mario/webpage/publ/courses.htm\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 565, 564, 596, 171, 161, 631, 566, 632 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Overview on schedule, talks, and speakers", "filetitle": "Course Notes", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-siggraph-2006-Course Notes.pdf", "type": "application/pdf", "size": 163504, "path": "Publication:tut-siggraph-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes:thumb{{size}}.png" }, { "description": "Smart Visibility in Visualization - Ivan Viola", "filetitle": "Slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "tut-siggraph-2006-Slides.zip", "type": "application/x-zip", "size": 77291824, "path": "Publication:tut-siggraph-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Slides.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/", "__class": "Publication" }, { "id": "tut-vis-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization for Science and Medicine", "date": "2006", "abstract": "This tutorial presents recent research and developments from academia in illustrative visualization focusing on its use for medical/science subjects. Lectures are organized within a\ncomprehensive illustration framework, focusing on three main components:\n\n• Traditional and computerized illustration techniques and principles for technical and\nscientific subjects\n\n• Evaluation and practical use\n\n• Viewing & rendering\n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of illustrative techniques and algorithms. We begin in the morning with a lecture presenting an overview of traditional illustration for\ntechnical, scientific, and medical subjects. This is followed by a description of the main components in an illustrative visualization pipeline for developing systems to assist technical\nand scientific illustrators. The tutorial progresses with an overview of the techniques used in illustration as well as approaches to evaluate their use and effectiveness. The morning concludes with the start of the “viewing and rendering” section. The three lectures in this section describe the latest approaches in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering techniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering. Each of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. The tutorial includes a trained medical illustrator discussing the principles/caveats/issues in using illustration techniques in real-world medical applications. This lecture will also describe an evaluation, from an illustrator’s point of view, of the use and quality of the techniques presented throughout the day. The tutorial concludes with discussion on specific medical case studies where illustrative visualization has been effectively applied.\n\nIEEE Visualization 2006 Tutorial Page:\nhttp://vis.computer.org/vis2006/session/tutorials.html#t3\n\nSee also previous tutorials on Illustrative Visualization:\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 565, 564, 631, 596, 161, 563, 566, 632, 633 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 260, "name": "tut-vis-2006-Image.png", "type": "image/png", "size": 92894, "path": "Publication:tut-vis-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/", "__class": "Publication" }, { "id": "tut-vis-2007", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Display and Interaction in Visualization", "date": "2007", "abstract": "The area of illustrative visualization is concerned with developing methods to enhance the\ndepiction of scientific data based on principles founded in traditional illustration. The\nillustration community has century-long experience in adapting their techniques to human\nperceptual needs in order to generate an effective depiction which conveys the desired\nmessage. Thus, their methods can provide us with important insights into visualization\nproblems.\nIn this tutorial, the concepts in illustrative visualization are reviewed. An important aspect here\nis interaction: while traditional illustrations are commonly only presented as static images,\ncomputer-assisted visualization enables interactive exploration and manipulation of complex\nscientific data. Only by coupling illustrative visualization with effective interaction techniques\nits full potential can be exploited.\nThe tutorial starts with a general introduction into the area of illustrative visualization. The\nconcept of importance-driven visualization and its applications are presented. Then we proceed with a discussion how traditional abstraction techniques can be applied in an\ninteractive context using importance-based methods. This ranges from low-level appearance\nto smart viewpoint-dependent visibility techniques such as cutaways or exploded views.\nFurther advanced manipulation strategies are discussed in the third part. The use\ndeformations to enhance visibility of certain features while providing context or to abstract the\nstructure of a complex objects through direct interaction with the data is examined. As many\nof the presented methods rely on a separation of focus and context, i.e., the important\nstructures in the data have been identified, the tutorial discusses approaches for selecting\nobjects of interest in a three-dimensional environment using intuitive sketch-based interfaces.\nSince the effectiveness of a user-interface is heavily dependent on the previous knowledge of\nthe user, the last part of the tutorial examines the concept of layering interfaces based on\nuser expertise. Finally, the application of illustrative display and interaction techniques for\nnon-traditional modalities such as mobile devices concludes the tutorial.\n\nIEEE Visualization 2007 Tutorial Page: http://vis.computer.org/vis2007/session/tutorials.html#t7\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2006 Tutorial on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ \n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 612, "image_height": 952, "name": "tut-vis-2007-.jpg", "type": "image/jpeg", "size": 124087, "path": "Publication:tut-vis-2007", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 161, 565, 564, 694 ], "research_areas": [ "IllVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 612, "image_height": 952, "name": "tut-vis-2007-.jpg", "type": "image/jpeg", "size": 124087, "path": "Publication:tut-vis-2007", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/", "__class": "Publication" }, { "id": "Viola-05-Smart", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Smart Visibility in Visualization", "date": "2005-05", "abstract": "In this paper we discuss expressive visualization techniques that smartly uncover the most important information\r\nin order to maximize the visual information of the underlying data. This is achieved through dynamic change in visual representations, through deformations, or through changing the spatial position of parts of the data. Such techniques originate from technical illustration and are called cut-away views, ghosted views, and exploded views. These illustrative techniques unveil the most important visual information by a high level of abstraction. The change in visual representation or spatial position is done in a way that is easily perceivable and the overall visual harmony is preserved.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 344, "name": "Viola-05-Smart-image.jpg", "type": "image/jpeg", "size": 29020, "path": "Publication:Viola-05-Smart", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 166 ], "booktitle": "Proceedings of EG Workshop on Computational Aesthetics Computational Aesthetics in Graphics, Visualization and Imaging", "date_from": "2005-05-18", "date_to": "2005-05-20", "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer", "isbn": "3905673274", "lecturer": [ 171 ], "location": "Girona, Spain", "pages_from": "209", "pages_to": "216", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 344, "name": "Viola-05-Smart-image.jpg", "type": "image/jpeg", "size": 29020, "path": "Publication:Viola-05-Smart", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-05-Smart-Paper.pdf", "type": "application/pdf", "size": 3785392, "path": "Publication:Viola-05-Smart", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/", "__class": "Publication" }, { "id": "viola-2006-FoA", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Focus of Attention for Volumetric Data Inspection", "date": "2006", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 245, "name": "viola-2006-FoA-.png", "type": "image/png", "size": 166666, "path": "Publication:viola-2006-FoA", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "date_from": "2006-05-28", "date_to": "2006-06-02", "event": "Dagstuhl Seminar on Computational Aesthetics in Computer Graphics, Visualization, and Imaging", "location": "Dagstuhl castle, Germany", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 530, "image_height": 245, "name": "viola-2006-FoA-.png", "type": "image/png", "size": 166666, "path": "Publication:viola-2006-FoA", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-:thumb{{size}}.png" }, { "description": "", "filetitle": "Slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2006-FoA-Slides.ppt", "type": "application/msword", "size": 4308992, "path": "Publication:viola-2006-FoA", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-Slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/", "__class": "Publication" }, { "id": "viola-popular-article-2006", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Explodierende Körper", "date": "2006", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 337, "name": "viola-popular-article-2006-Teaser.jpg", "type": "image/jpeg", "size": 30411, "path": "Publication:viola-popular-article-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 634, 171, 161 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Interview for a medical agazine", "filetitle": "Article", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-popular-article-2006-Article.pdf", "type": "application/pdf", "size": 195081, "path": "Publication:viola-popular-article-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Article.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Article:thumb{{size}}.png" }, { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 339, "image_height": 337, "name": "viola-popular-article-2006-Teaser.jpg", "type": "image/jpeg", "size": 30411, "path": "Publication:viola-popular-article-2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/", "__class": "Publication" }, { "id": "Viola-vistutillustrativevis", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "IEEE Visualization Tutorial on Illustrative Visualization", "date": "2005", "abstract": "The tutorial presents state-of-the-art visualization techniques inspired\nby traditional technical and medical illustrations. Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. 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The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "vis-foa-jpg.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 171 ], "number": "5", "pages_from": "933", "pages_to": "940", "volume": "12", "research_areas": [], 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"kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "Scanopy", "workgroup_id": "rend", "drupal_id": 4246, "drupal_path": "/research/projects/Scanopy", "name": "SCANOPY - Scan Data Organisation, Processing and Display", "name_de": null, "short_title": "Scanopy", "website": null, "status": "active", "short_abstract": "The aim of the Scanopy project is to provide efficient algorithms for working with 3D laser scan data. The first main challenge is to improve the quality of raw scan data via filtering, scan completion and repair, making use of image information and symmetries. The second challenge is to and second to develop efficient data structures and algorithm to allow displaying huge point-based models. The third challenge is to improve the appearance of the models via lighting and relighting.
\r\n", "abstract": "The aim of the Scanopy project is to provide efficient algorithms for working with 3D laser scan data. The first main challenge is to improve the quality of raw scan data via filtering, scan completion and repair, making use of image information and symmetries. The second challenge is to and second to develop efficient data structures and algorithm to allow displaying huge point-based models. The third challenge is to improve the appearance of the models via lighting and relighting.
\r\n", "start_date": "2006-10-01", "end_date": "2009-12-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", 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"funding_organisation": { "id": "FFF", "drupal_id": 4141, "name": "FFG", "logo": { "name": "logo.png", "type": "image/png", "size": 2040, "orig_name": "logo.png", "path": "FundingOrganisation:FFF", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/FFF/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "ADAPT", "contract_number": null, "comment": null }, { "id": "AR-AQ-Bau", "contract_number": "867375", "comment": null }, { "id": "AutARG", "contract_number": "FIT-IT project no. 819352", "comment": null }, { "id": "BimFlexi", "contract_number": null, "comment": null }, { "id": "EvaluARte", "contract_number": null, "comment": null }, { "id": "GAMEWORLD", "contract_number": "813387", "comment": "FIT-IT Visual Computing" }, { "id": "Landspotting", "contract_number": "2008999", "comment": null }, { "id": "REPLICATE", "contract_number": "835948", "comment": "FIT-IT" }, { "id": "RESHADE", "contract_number": "820916", "comment": "FIT-IT Visual Computing" }, { "id": "Scanopy", "contract_number": "812126", "comment": null }, { "id": "SCI_BIM", "contract_number": "867314", "comment": "Stadt der Zukunft" }, { "id": "Sim-CT", "contract_number": "812136-SCK/KUG (Bridge project)", "comment": null }, { "id": "Smart-CT", "contract_number": "818108 (Bridge project)", "comment": null }, { "id": "Smile Analytics", "contract_number": "861168", "comment": "Basisprogramm Einzelprojekt" }, { "id": "TERAPOINTS", "contract_number": "825842", "comment": "FIT-IT Visual Computing" }, { "id": "Wohnen 4.0", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=FFF", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "BARSUKOV-2010-NEPC", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "On-the-fly Normal Estimation for Point Clouds", "date": "2010", "abstract": "Kickoff 30.3.2010\r\n=================\r\n\r\nIdee:\r\n1) normal estimation für scanopy application on the fly (use existing octree structure)\r\n2) maybe: optimize renderer (quality): every point should know how big it should be rendered depending on deepest descendant\r\n\r\nClaus ScheiblauerTo implement and develop novel methods for reconstruction and visualisation of 3D Data in different grid structures
\r\n", "abstract": "To implement and develop novel methods for reconstruction and visualisation of 3D Data in different grid structures
\r\n", "start_date": "2006-09-01", "end_date": "2009-09-30", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", 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Local\r\nfeature detectors and additional measures integrate into an\r\ninteractive flow feature detection system based on multiple linked\r\nviews. We discuss how linking and brushing of derived feature\r\ninformation can lead to increased performance in interactive feature\r\nanalysis. In a case study we demonstrate how the possibility to\r\nintegrate the information of multiple detectors leads to sound\r\nunderstanding of vortex type features. Enhanced credibility and\r\ncombined advantages of several detectors can be achieved by uniting\r\nthe results of multiple feature detectors in multiple coordinated\r\nviews.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Multiple views and smooth brushing for vortex analysis", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1978, "image_height": 1028, "name": "Buerger-2007-cmv-Figure1.png", "type": "image/png", "size": 441549, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 661, 662, 212, 176 ], "booktitle": "Proceedings of CMV 2007", "lecturer": [ 661 ], "pages_from": "98", "pages_to": "110", "publisher": "IEEE", "research_areas": [], "keywords": [ "Multiple Views", "Vortex", "Flow Visualization", "Multiple Detectors" ], "weblinks": [], "files": [ { "description": "Multiple views and smooth brushing for vortex analysis", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1978, "image_height": 1028, "name": "Buerger-2007-cmv-Figure1.png", "type": "image/png", "size": 441549, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1:thumb{{size}}.png" }, { "description": "Combining multiple detectors using linked views", "filetitle": "Figure2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 855, "name": "Buerger-2007-cmv-Figure2.png", "type": "image/png", "size": 123363, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure2:thumb{{size}}.png" }, { "description": "PQ-Plot", "filetitle": "Figure3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 739, "name": "Buerger-2007-cmv-Figure3.png", "type": "image/png", "size": 567462, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure3.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure3:thumb{{size}}.png" }, { "description": "Correlating several detectors", "filetitle": "Figure4", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1981, "image_height": 900, "name": "Buerger-2007-cmv-Figure4.png", "type": "image/png", "size": 763819, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure4.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure4:thumb{{size}}.png" }, { "description": "Feature localization analysis", "filetitle": "Figure5", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1995, "image_height": 887, "name": "Buerger-2007-cmv-Figure5.png", "type": "image/png", "size": 851641, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure5.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure5:thumb{{size}}.png" }, { "description": "Analysis of the tumbling motion inside the combustion chamber", "filetitle": "Figure6", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 666, "name": "Buerger-2007-cmv-Figure6.png", "type": "image/png", "size": 458780, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure6.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure6:thumb{{size}}.png" }, { "description": "Further investigation of optimal mixing", "filetitle": "Figure7", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2000, "image_height": 662, "name": "Buerger-2007-cmv-Figure7.png", "type": "image/png", "size": 383182, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure7.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure7:thumb{{size}}.png" }, { "description": "Analysis of gasket vortices", "filetitle": "Figure8", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2661, "image_height": 942, "name": "Buerger-2007-cmv-Figure8.png", "type": "image/png", "size": 1044524, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure8.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure8:thumb{{size}}.png" }, { "description": "Interactive comparision of two vortices", "filetitle": "Figure9", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2604, "image_height": 935, "name": "Buerger-2007-cmv-Figure9.png", "type": "image/png", "size": 459481, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure9.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure9:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Buerger-2007-cmv-Paper.pdf", "type": "application/pdf", "size": 1446532, "path": "Publication:Buerger-2007-cmv", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/", "__class": "Publication" }, { "id": "Buerger-2007-eurovis", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Integrating Local Feature Detectors in the Interactive Visual Analysis of Flow Simulation Data", "date": "2007", "abstract": "We present smooth formulations of common vortex detectors that allow\r\na seamless integration into the concept of interactive visual\r\nanalysis of flow simulation data. We express the originally binary\r\nfeature detectors as fuzzy-sets that can be combined using the\r\nlinking and brushing concepts of interactive visual analysis. Both\r\ninteraction and visualization gain from having multiple detectors\r\nconcurrently available and from the ability to combine them. An\r\napplication study on automotive data reveals how these vortex\r\ndetectors combine and perform in praxis.", "authors_et_al": false, "substitute": null, "main_image": { "description": "A glyph based visualization of flow through a cooling jacket. The design of the casket causes a strong vortex that increases mixing of hot and cold fluid.", "filetitle": "Vortex", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 535, "name": "Buerger-2007-eurovis-Vortex.jpg", "type": "image/jpeg", "size": 83021, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 661, 662, 1303, 212, 176 ], "booktitle": "Proceedings of Eurographics/ IEEE-VGTC Symposium on Visualization 2007", "editor": "K. Museth, T. Möller, A. Ynnerman", "isbn": "9783905673456", "lecturer": [ 661 ], "pages_from": "171", "pages_to": "178", "research_areas": [], "keywords": [ "Interactive visual analysis", "Fuzzy classifier", "Vortex detector", "Cooling jacket" ], "weblinks": [], "files": [ { "description": "Combination of smooth featrue detectors and interactive visual analysis", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 6575, "image_height": 2346, "name": "Buerger-2007-eurovis-Figure1.png", "type": "image/png", "size": 1225837, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure1:thumb{{size}}.png" }, { "description": "Major components of flow through the cooling jacket", "filetitle": "Figure2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 680, "image_height": 452, "name": "Buerger-2007-eurovis-Figure2.jpg", "type": "image/jpeg", "size": 44965, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure2:thumb{{size}}.png" }, { "description": "A feature based focus+context visualizaion showing regions of near stagnant, hot flow with medium to high levels of the lambda2 vortex detector", "filetitle": "Figure3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3756, "image_height": 1275, "name": "Buerger-2007-eurovis-Figure3.png", "type": "image/png", "size": 1512644, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure3.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure3:thumb{{size}}.png" }, { "description": "Turbulent region behind cooling jacket gasket", "filetitle": "Figure4", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 3693, "image_height": 1250, "name": "Buerger-2007-eurovis-Figure4.png", "type": "image/png", "size": 1989001, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure4.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure4:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Buerger-2007-eurovis-Paper.pdf", "type": "application/pdf", "size": 799517, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Paper:thumb{{size}}.png" }, { "description": "Presentation given at EuroVis07 Conference", "filetitle": "Presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Buerger-2007-eurovis-Presentation.pdf", "type": "application/pdf", "size": 3151315, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Presentation:thumb{{size}}.png" }, { "description": "This video shows basic ideas and results and demonstrates the interactiveness of the approach.", "filetitle": "Video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Buerger-2007-eurovis-Video.avi", "type": "", "size": 9312914, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Video.avi", "thumb_image_sizes": [] }, { "description": "A glyph based visualization of flow through a cooling jacket. The design of the casket causes a strong vortex that increases mixing of hot and cold fluid.", "filetitle": "Vortex", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 535, "name": "Buerger-2007-eurovis-Vortex.jpg", "type": "image/jpeg", "size": 83021, "path": "Publication:Buerger-2007-eurovis", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/", "__class": "Publication" }, { "id": "buerger-2007-star", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Visualization of Multi-variate Scientific Data", "date": "2007", "abstract": "In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. We focus on ''non-classical'' approaches, i.e. approaches which haven't been discussed in previous related reports, and we highlight techniques which potentially lead towards new directions in visualization research. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors, and tensors. We\r\n also provide a categorization of these techniques in the aim for a better\r\n overview of related approaches. In the second part of this paper we take a\r\n look at recent techniques that are useful for the visualization of complex data\r\n sets either because they are general purpose or because they can be adapted to specific\r\n problems.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Visualization research is developing from classical 3D structured scalar visualization. the use of techniques that allow the visualization of time-dependent, complex and multi-variate data in a useful way will be a key to successful visualization applications in the future.", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 308, "image_height": 196, "name": "buerger-2007-star-Figure1.jpg", "type": "image/jpeg", "size": 11681, "path": "Publication:buerger-2007-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 661, 176 ], "booktitle": "EuroGraphics 2007 State of the Art Reports (STARs)", "isbn": "1017-4656", "lecturer": [ 672 ], "pages_from": "117", "pages_to": "134", "research_areas": [], "keywords": [ "scientific data", "multi-variate data" ], "weblinks": [], "files": [ { "description": "Visualization research is developing from classical 3D structured scalar visualization. the use of techniques that allow the visualization of time-dependent, complex and multi-variate data in a useful way will be a key to successful visualization applications in the future.", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 308, "image_height": 196, "name": "buerger-2007-star-Figure1.jpg", "type": "image/jpeg", "size": 11681, "path": "Publication:buerger-2007-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1:thumb{{size}}.png" }, { "description": "Six examples of how to deal with multi-dimensional data-sets: (a) traditional (b) deriving additional quantities (c) linking brushing and other SimVis related techniques (d) data intermixing (e) layering rendered images (f) a well-combined visualization technique using all relevant data and derivations.", "filetitle": "Figure2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1276, "image_height": 993, "name": "buerger-2007-star-Figure2.png", "type": "image/png", "size": 101436, "path": "Publication:buerger-2007-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure2:thumb{{size}}.png" }, { "description": "An example of combined attribute and volumetric views. The 3D view shows the location of data points in space with pressure mapped to color. A 2D slice shows the velocity close to the eye of the storm. Two attribute views (scatterplot of velocity vs. cloud density and histogramm of temperature) are used to select which cells are shown.", "filetitle": "Figure3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1110, "image_height": 1108, "name": "buerger-2007-star-Figure3.png", "type": "image/png", "size": 214688, "path": "Publication:buerger-2007-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure3.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure3:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "buerger-2007-star-Paper.pdf", "type": "application/pdf", "size": 1362494, "path": "Publication:buerger-2007-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Paper:thumb{{size}}.png" }, { "description": "The slides as presented at EuroGraphics 2007 (not including videos)", "filetitle": "Slides (Updated)", "main_file": true, "use_in_gallery": false, "access": "public", "name": "buerger-2007-star-Slides (Updated).ppt", "type": "application/msword", "size": 24508416, "path": "Publication:buerger-2007-star", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Slides (Updated).ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/", "__class": "Publication" }, { "id": "fuchs_raphael_2007_par", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Parallel Vectors Criteria for Unsteady Flow Vortices", "date": "2008-05", "abstract": "Feature-based flow visualization is naturally dependent\r\n on feature extraction. To extract flow features, often higher-order\r\n properties of the flow data are used such as the Jacobian or\r\n curvature properties, implicitly describing the flow features in\r\n terms of their inherent flow characteristics (e.g., collinear flow\r\n and vorticity vectors). In this paper we present recent research\r\n which leads to the (not really surprising) conclusion that feature extraction algorithms\r\n need to be extended to a time-dependent analysis framework (in terms\r\n of time derivatives) when dealing with unsteady flow data.\r\n Accordingly, we present two extensions of the parallel vectors based vortex\r\n extraction criteria to the time-dependent domain and show the improvements of\r\n feature-based flow visualization in comparison to the\r\n steady versions of this extraction algorithm both in the context of\r\n a high-resolution dataset, i.e., a simulation specifically designed\r\n to evaluate our new approach, as well as for a real-world dataset\r\n from a concrete application.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 902, "image_height": 902, "name": "fuchs_raphael_2007_par-Image.jpg", "type": "image/jpeg", "size": 112972, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 672, 695, 176, 696, 662 ], "journal": "TVCG", "number": "3", "pages_from": "615", "pages_to": "626", "volume": "14", "research_areas": [], "keywords": [ "Time-Varying Data Visualization", "Vortex Feature Detection" ], "weblinks": [], "files": [ { "description": "Streamlines and pathlines in a model of a rotating vortex rope. (a) The vortex core line based on streamlines (according to Sujudi and Haimes) is shown as a thick grey tube (it is the only grey line which also is a helix). (b) The vortex core line based on pathlines (shown in yellow on the right) has the same pitch but a larger radius (it is the only helical pathline, shown in thick magenta).", "filetitle": "Figure1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1110, "image_height": 764, "name": "fuchs_raphael_2007_par-Figure1.jpg", "type": "image/jpeg", "size": 134880, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure1.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure1:thumb{{size}}.png" }, { "description": "For the vortex rope in the depicted dataset, iso-values of pressure give good insight on where the vortex core line is located. We can clearly see how the yellow core line (extracted using the classical approach of Sujudi and Haimes deviates from the center of pressure isosurface. The modification to time derivative aware extraction of the vortex coreline improves the results visibly.", "filetitle": "Figure2", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1102, "image_height": 1204, "name": "fuchs_raphael_2007_par-Figure2.jpg", "type": "image/jpeg", "size": 135176, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure2:thumb{{size}}.png" }, { "description": "We compare the vortex core lines found by the original method of Sujudi and Haimes and the modified version. Two views of the same timestep show the benefits of the modification. Both views show the same vortex core line and isosurface. (1) In one case the original method does not detect one vortex core at all. (2) The time-aware modification traverses the full length of the vortex core and continues into the region of strong turbulence at the top of the cylinder. (3) The original vortex core line leaves the core region of the vortex and vanishes in a substantial portion of the vortex region.", "filetitle": "Figure3", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1344, "image_height": 1229, "name": "fuchs_raphael_2007_par-Figure3.jpg", "type": "image/jpeg", "size": 241908, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure3.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure3:thumb{{size}}.png" }, { "description": "Comparison of acceleration vector magnitudes: The scatterplots show that the magnitudes of the two variants of the acceleration vectors can differ significantly in the crucial timesteps, i.e., timesteps of major changes over time, after ignition (we have normalized the magnitudes such that the center of gravity corresponds to the origin).", "filetitle": "Figure4", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 658, "image_height": 334, "name": "fuchs_raphael_2007_par-Figure4.gif", "type": "image/gif", "size": 25961, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure4.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure4:thumb{{size}}.png" }, { "description": "We compare the computed corelines with respect to lambda2 and equivalence ratio. (a) The modified algorithm detects two vortex core lines (red) whereas the original version only detects the main vortex core line (white). (b) An isosurface of equivalence ratio at 0.7 containing the region of optimal mixing. (c) The surface containing the region of equivalence ratio of 0.5 and lambda2< -1000$.", "filetitle": "Figure5", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2652, "image_height": 863, "name": "fuchs_raphael_2007_par-Figure5.jpg", "type": "image/jpeg", "size": 479277, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure5.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure5:thumb{{size}}.png" }, { "description": "Gradient estimation at a vertex (red) using the Green-Gauss theorem requires to estimate cell center velocities and mid-point velocities. (a) The surrounding surface uses cell centers (green) and mid-points (gray). (b) In this detail illustration of the lighter gray section from (a) we see the full configuration for a single surrounding tetrahedron.", "filetitle": "Figure6", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 708, "image_height": 407, "name": "fuchs_raphael_2007_par-Figure6.gif", "type": "image/gif", "size": 23136, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure6.gif", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure6:thumb{{size}}.png" }, { "description": "", "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 902, "image_height": 902, "name": "fuchs_raphael_2007_par-Image.jpg", "type": "image/jpeg", "size": 112972, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fuchs_raphael_2007_par-Paper.pdf", "type": "application/pdf", "size": 4427626, "path": "Publication:fuchs_raphael_2007_par", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/", "__class": "Publication" }, { "id": "fuchs-2008-del", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Delocalized Unsteady Vortex Region Detectors", "date": "2008-10", "abstract": "In this paper we discuss generalizations of instantaneous, local vortex criteria.\r\nWe incorporate information on spatial context and temporal development into the\r\ndetection process. The presented method is generic in so far that it can extend\r\nany given Eulerian criterion to take the Lagrangian approach into account. Furthermore,\r\nwe present a visual aid to understand and steer the feature extraction process.\r\nWe show that the delocalized detectors are able to distinguish between connected vortices\r\nand help understanding regions of multiple interacting vortex structures.\r\nThe delocalized detectors extract smoother structures and reduce noise in the vortex detection result.", "authors_et_al": false, "substitute": null, "main_image": { "description": "We compare the resulting features for the standard lambda2 and the delocalized lambda2 criterion.", "filetitle": "delocalized", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1705, "image_height": 1405, "name": "fuchs-2008-del-delocalized.jpg", "type": "image/jpeg", "size": 327185, "path": "Publication:fuchs-2008-del", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 672, 695, 696, 734, 166 ], "booktitle": "Proceedings VMV 2008", "date_from": "2008-10-08", "date_to": "2008-10-10", "editor": "Oliver Deussen, Daniel Keim, Dietmar Saupe", "isbn": "978-3-89838-609-8", "lecturer": [ 696 ], "location": "Konstanz, Deutschland", "pages_from": "81", "pages_to": "90", "research_areas": [], "keywords": [ "anisotropic filtering", "vortex detection", "interactive visual analysis" ], "weblinks": [], "files": [ { "description": "We compare the resulting features for the standard lambda2 and the delocalized lambda2 criterion.", "filetitle": "delocalized", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1705, "image_height": 1405, "name": "fuchs-2008-del-delocalized.jpg", "type": "image/jpeg", "size": 327185, "path": "Publication:fuchs-2008-del", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fuchs-2008-del-Paper.pdf", "type": "application/pdf", "size": 2802166, "path": "Publication:fuchs-2008-del", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/", "__class": "Publication" }, { "id": "fuchs-vortex", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "The Visible Vortex - Interactive Analysis and Extraction of Vortices in Large Time-Dependent Flow Data Sets", "date": "2008-10", "abstract": "Computational simulation of physical and chemical processes has become an essential tool to tackle questions from the field of fluid dynamics.\nUsing current simulation packages it is possible to compute unsteady flow simulations for\nrealistic scenarios. The resulting solutions are stored in large to very large grids in 2D or 3D,\nfrequently time-dependent, with multi-variate results from the numeric simulation.\nWith increasing complexity of simulation results,\npowerful analysis and visualization tools are needed to make sense of the computed information and answer\nthe question at hand. To do this we need new approaches and algorithms to locate regions of\ninterest, find important structures in the flow and analyze the behavior of the\nflow interactively.\n\nThe main motives of this thesis are the extension of vortex detection criteria to unsteady flow and\nthe combination of vortex detectors with interactive visual analysis.\nTo develop an understanding for the simulation results it is necessary to\ncompare attributes of the simulation to each other and to be able to\nrelate them to larger structures such as vortices. It is shown how automatic feature detection algorithms can be combined with interactive analysis techniques such that both detection and analysis benefit.\n\nBy extending and integrating vortex detectors into the process of visual analysis, it becomes possible\nto understand the impact of vortex structures on the development of\nthe flow. Using real-world examples from the field of engine design we discuss how vortex structures\ncan have critical impact on the performance of a prototype. We illustrate how interactive visual analysis\ncan support prototype design and evaluation.\nFurthermore, we show that taking the unsteady nature of the flow into account improves the quality of the extracted structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": "We illustrate some of the extensions to vortex region analysis discussed throughout this thesis. (1) We start with binary vortex detectors. It is hard to understand where the structures originate and how they are related to the geometry. (2) Using non-binary vortex detectors we can select only the parts of the volume that contain relevant structures. (3) By combining multiple criteria it is possible to refine the selection further and it becomes obvious that the gaskets between cylinder head and body are of critical importance. (4) Using delocalization we can further refine the selection and remove noise from the results.", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1284, "image_height": 1271, "name": "fuchs-vortex-Figure1.png", "type": "image/png", "size": 1216763, "path": "Publication:fuchs-vortex", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 672 ], "co_supervisor": [ 695 ], "date_end": "2008-10", "date_start": "2006-06", "rigorosum": "2008-10-09", "supervisor": [ 176 ], "research_areas": [], "keywords": [ "Interactive Visual Analysis", "Vortex Detection", "Scientific Visualization" ], "weblinks": [], "files": [ { "description": "We illustrate some of the extensions to vortex region analysis discussed throughout this thesis. (1) We start with binary vortex detectors. It is hard to understand where the structures originate and how they are related to the geometry. (2) Using non-binary vortex detectors we can select only the parts of the volume that contain relevant structures. (3) By combining multiple criteria it is possible to refine the selection further and it becomes obvious that the gaskets between cylinder head and body are of critical importance. (4) Using delocalization we can further refine the selection and remove noise from the results.", "filetitle": "Figure1", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1284, "image_height": 1271, "name": "fuchs-vortex-Figure1.png", "type": "image/png", "size": 1216763, "path": "Publication:fuchs-vortex", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "fuchs-vortex-thesis.pdf", "type": "application/pdf", "size": 28629831, "path": "Publication:fuchs-vortex", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/", "__class": "Publication" }, { "id": "heinzl_2006_RSDVCDM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Robust Surface Detection for Variance Comparison and Dimensional Measurement", "date": "2006", "abstract": "This paper describes a robust method for creating surface models from volume datasets with distorted density\r\nvalues due to artefacts and noise. Application scenario for the presented work is variance comparison and\r\ndimensional measurement of homogeneous industrial components in industrial high resolution 3D computed\r\ntomography (3D-CT). We propose a pipeline which uses common 3D image processing filters for pre-processing\r\nand segmentation of 3D-CT datasets in order to create the surface model. In particular, a pre-filtering step\r\nreduces noise and artefacts without blurring edges in the dataset. A watershed filter is applied on the gradient\r\ninformation of the smoothed data to create a binary dataset. Finally the surface model is constructed, using\r\nconstrained elastic-surface nets to generate a smooth but feature preserving mesh of a binary volume. The major\r\ncontribution of this paper is the development of the specific processing pipeline for homogeneous industrial\r\ncomponents to handle large resolution data of industrial CT scanners. The pipeline is crucial for the following\r\nvisual inspection of deviations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 251, "preview_image_height": 239, "name": "heinzl_2006_RSDVCDM-paper.pdf", "type": "application/pdf", "size": 1769811, "path": "Publication:heinzl_2006_RSDVCDM", "preview_name": "heinzl_2006_RSDVCDM-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 44791, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 612, 613, 166 ], "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization", "lecturer": [ 611 ], "pages_from": "75", "pages_to": "82", "publisher": "IEEE CS", "research_areas": [], "keywords": [ "Applications" ], "weblinks": [], "files": [ { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 251, "preview_image_height": 239, "name": "heinzl_2006_RSDVCDM-paper.pdf", "type": "application/pdf", "size": 1769811, "path": "Publication:heinzl_2006_RSDVCDM", "preview_name": "heinzl_2006_RSDVCDM-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 44791, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/", "__class": "Publication" }, { "id": "heinzl-2006-rep", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Reproducible Surface Extraction for Variance Comparison in 3D Computed Tomography", "date": "2006-09", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 418, "image_height": 154, "name": "heinzl-2006-rep-jpg.jpg", "type": "image/jpeg", "size": 26064, "path": "Publication:heinzl-2006-rep", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 613, 166 ], "booktitle": "Proceedings of 9th European Congress on Non-Destructive Testing (ECNDT 2006)", "date_from": "2006-09-25", "date_to": "2006-09-29", "lecturer": [ 611 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 418, "image_height": 154, "name": "heinzl-2006-rep-jpg.jpg", "type": "image/jpeg", "size": 26064, "path": "Publication:heinzl-2006-rep", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "heinzl-2006-rep-pdf.pdf", "type": "application/pdf", "size": 320742, "path": "Publication:heinzl-2006-rep", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/", "__class": "Publication" }, { "id": "RAUTEK06", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "D²VR: High Quality Volume Rendering of Projection-based Volumetric Data", "date": "2006-05", "abstract": "Volume rendering techniques are conventionally classified as either direct or indirect methods. Indirect\r\nmethods require to transform the initial volumetric model into an\r\nintermediate geometrical model in order to efficiently visualize it.\r\nIn contrast, direct volume rendering (DVR) methods can directly\r\nprocess the volumetric data. Modern CT scanners usually provide data as a set of samples on a rectilinear\r\ngrid, which is computed from the measured projections by discrete tomographic reconstruction. Therefore the rectilinear grid can already be considered as an intermediate volume representation. In this paper we introduce direct direct volume rendering (D²VR). D²VR does not require a rectilinear grid, since it is based on an immediate\r\nprocessing of the measured projections. Arbitrary samples for ray\r\ncasting are reconstructed from the projections by using the Filtered\r\nBack-Projection algorithm. Our method removes a lossy resampling step from the classical volume rendering pipeline.\r\nIt provides much higher accuracy than traditional grid-based\r\nresampling techniques do. Furthermore we also present a novel\r\nhigh-quality gradient estimation scheme, which is also based on the\r\nFiltered Back-Projection algorithm.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 827, "image_height": 827, "name": "RAUTEK06-image.jpg", "type": "image/jpeg", "size": 263457, "path": "Publication:RAUTEK06", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 488, 233, 160, 161, 166 ], "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization", "lecturer": [ 488 ], "number": "In Proceedings of EuroVis", "pages_from": "211", "pages_to": "218", "publisher": "IEEE CS", "research_areas": [], "keywords": [ "Volume Rendering", "Filtered Back-Projection", "Reconstruction" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 827, "image_height": 827, "name": "RAUTEK06-image.jpg", "type": "image/jpeg", "size": 263457, "path": "Publication:RAUTEK06", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "RAUTEK06-paper.pdf", "type": "application/pdf", "size": 14489057, "path": "Publication:RAUTEK06", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/", "__class": "Publication" }, { "id": "toth-2007-ndd", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "N-dimensional Data-Dependent Reconstruction Using Topological Changes", "date": "2007-09", "abstract": "We introduce a new concept for a geometrically based feature preserving reconstruction\r\ntechnique of n-dimensional scattered data. Our goal is to generate\r\nan n-dimensional triangulation, which preserves the high frequency regions via\r\nlocal topology changes. It is the generalization of a 2D reconstruction approach\r\nbased on data-dependent triangulation and Lawson‘s optimization procedure.\r\nThe definition of the mathematic optimum of the reconstruction is given. We\r\ndiscuss an original cost function and a generalization of known functions for\r\nthe n-dimensional case.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 288, "image_height": 196, "name": "toth-2007-ndd-image.jpg", "type": "image/jpeg", "size": 46901, "path": "Publication:toth-2007-ndd", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 582, 171, 583, 166 ], "booktitle": "Proceedings of TopoInVis 2005, Topology-based Methods in Visualization", "date_from": "2005-09-29", "date_to": "2005-09-30", "editor": "H. Hauser, H. Hagen, H. Theisel", "lecturer": [ 582 ], "location": "Budmerice, Slovakia", "note": "Konferenz hat 2005 stattgefunden, Proceeding ist allerdings erst 2007 erschienen", "pages_from": "183", "pages_to": "198", "publisher": "Springer", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 288, "image_height": 196, "name": "toth-2007-ndd-image.jpg", "type": "image/jpeg", "size": 46901, "path": "Publication:toth-2007-ndd", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "toth-2007-ndd-paper.pdf", "type": "application/pdf", "size": 7344349, "path": "Publication:toth-2007-ndd", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/", "__class": "Publication" }, { "id": "TR-186-2-07-06", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT", "date": "2007-05", "abstract": "This paper describes a novel method for creating surface\r\nmodels of multi-material components using dual energy\r\ncomputed tomography (DECT). Application scenario\r\nfor the presented work is metrology and dimensional\r\nmeasurement of multi-material components in industrial\r\nhigh resolution 3D X-Ray computed tomography\r\n(3DCT). The basis of this method is the dual source\r\n/ dual exposure technology using the different X-Ray\r\nimaging modalities of a high precision micro-focus and\r\na high energy macro-focus X-Ray source.\r\nThe presented work aims at combining the advantages\r\nof both X-Ray modalities in order to facilitate dimensional\r\nmeasurement of multi-material components with\r\nhigh density material within low density material. We\r\npropose a pipeline model using image fusion and local\r\nsurface extraction technologies: A prefiltering step reduces\r\ndata inherent noise. For image fusion purposes\r\nthe datasets have to be registered to each other. In the fusion\r\nstep the benefits of each modality are combined. So\r\nthe structure of the specimen is taken from the low precision,\r\nblurry, high energy dataset while the sharp edges\r\nare adopted and fused into the resulting image from the\r\nhigh precision, crisp, low energy dataset. In the final\r\nstep a reliable surface model is calculated of the fused\r\ndataset, which locally adapts the surface model by moving\r\nsurface vertices in the direction of the corresponding\r\npoint normal to a position with maximum gradient magnitude.\r\nThe major contribution of this paper is the development\r\nof a specific workflow for dimensional measurement of multi-material industrial components from high resolution\r\nindustrial CT data. Several algorithms are extended\r\nto take two data sources with complementary strengths\r\nand weaknesses into account. The presented workflow\r\nis crucial for the following visual inspection of deviations.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-06-.jpg", "type": "image/jpeg", "size": 108503, "path": "Publication:TR-186-2-07-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 611, 613, 166 ], "number": "TR-186-2-07-06", "research_areas": [], "keywords": [ "DECT image fusion", "local surface extraction", "metrology", "Dual Energy CT", "dimensional measurement", "variance comparison" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 512, "image_height": 512, "name": "TR-186-2-07-06-.jpg", "type": "image/jpeg", "size": 108503, "path": "Publication:TR-186-2-07-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-07-06-paper.pdf", "type": "application/pdf", "size": 1805191, "path": "Publication:TR-186-2-07-06", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/", "__class": "Publication" }, { "id": "TR-186-2-08-02", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Efficient Reconstruction from Non-uniform Point Sets", "date": "2008-01", "abstract": "We present a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in the functional approximation of 3D data. We adopt a variational approach for the reconstruction and rendering of 3D data. The principle idea is based on data fitting via thin-plate splines. An approximation by B-splines offers more compact support for fast reconstruction. We adopt this method for large datasets by introducing a block-based reconstruction approach. This makes this method practical for large data sets. Our reconstruction will be smooth across blocks. We give reconstruction measurements as error estimations based on different parameter settings and also an insight on the computational effort. We show that the block size used in reconstruction has a negligible effect on the reconstruction error. Finally we show rendering results to emphasize the quality of this 3D reconstruction technique.", "authors_et_al": false, "substitute": "vucini_2008_rnp", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 827, "image_height": 556, "name": "TR-186-2-08-02-image.png", "type": "image/png", "size": 351566, "path": "Publication:TR-186-2-08-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636, 196, 166 ], "number": "TR-186-2-08-02", "research_areas": [], "keywords": [ "3D Object Modeling", "Non-uniform Reconstruction", "Variational Approximation", "B-splines" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 827, "image_height": 556, "name": "TR-186-2-08-02-image.png", "type": "image/png", "size": 351566, "path": "Publication:TR-186-2-08-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-02-paper.pdf", "type": "application/pdf", "size": 3889288, "path": "Publication:TR-186-2-08-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/", "__class": "Publication" }, { "id": "TR-186-2-08-08", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "On Visualisation and Reconstruction from Non-uniform Point Sets", "date": "2008-04", "abstract": "With recent technological advances, non-uniform representations are becoming a crucial factor in acquisition and simulation devices and as such the development of better and more reliable reconstruction and visualization schemes is a necessity. In this paper we present a novel framework for the visualization and reconstruction from non-uniform point sets. We adopt a variational method for the reconstruction of 3D non-uniform data to a uniform grid. We introduce a hybrid regularization functional tuned for our volumetric reconstruction technique and show its impact on improving the reconstruction results. Our reconstruction scheme can be used for reconstructing non-uniform point sets at different resolutions. In addition we propose a two-level multiresolution algorithm for adaptively reconstructing non-uniform representations. Finally we discuss further application scenarios and show rendering results to emphasize the effectiveness and quality of our proposed framework. By means of qualitative results we demonstrate why our method is better and more reliable for handling non-uniform representations.", "authors_et_al": false, "substitute": "TR-186-2-08-13", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 420, "image_height": 360, "name": "TR-186-2-08-08-image.png", "type": "image/png", "size": 454774, "path": "Publication:TR-186-2-08-08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636, 196, 166 ], "number": "TR-186-2-08-08", "research_areas": [], "keywords": [ "Multiresolution", "Non-uniform Representation", "Variational Reconstruction", "Regularization" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 420, "image_height": 360, "name": "TR-186-2-08-08-image.png", "type": "image/png", "size": 454774, "path": "Publication:TR-186-2-08-08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-08-08-paper.pdf", "type": "application/pdf", "size": 5951681, "path": "Publication:TR-186-2-08-08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/", "__class": "Publication" }, { "id": "TR-186-2-09-01", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Enhancing Visualization with Frequency-based Transfer Functions", "date": "2009-05", "abstract": "Transfer functions have a crucial role in the understanding\r\nand visualization of 3D data in the spatial domain.\r\nWhile exhaustive research has scrutinized the possible\r\nuses of one or multi-dimensional transfer functions in\r\nthe visualization of the data in the spatial domain, to our\r\nknowledge no attempt has been done in the exploration\r\nof the use of transfer functions in the frequency domain.\r\nIn this work we propose the use of transfer functions\r\nfor the purpose of frequency analysis and visualization\r\nof 3D data. Frequency-based transfer functions offer the\r\npossibility to discriminate signals composed from different\r\nfrequencies, to analyze problems related to signal\r\nprocessing, and to help understanding the link between\r\nthe modulation of specific frequencies and their impact\r\non the spatial domain. We demonstrate the strength of\r\nour technique by applying the frequency-based transfer\r\nfunction to synthetic and real-world medical data. The\r\ninteractivity of the proposed framework allows the creation\r\nof complex filters and can also be used for structure\r\nor feature enhancement.", "authors_et_al": false, "substitute": "vucini-2011", "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 497, "name": "TR-186-2-09-01-image.bmp", "type": "image/x-ms-bmp", "size": 763446, "path": "Publication:TR-186-2-09-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636, 166 ], "number": "186-2-09-01", "research_areas": [], "keywords": [ "Data Enhancement", "Frequency Analysis", "Transfer Function" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-09-01-.pdf", "type": "application/pdf", "size": 4061503, "path": "Publication:TR-186-2-09-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 497, "name": "TR-186-2-09-01-image.bmp", "type": "image/x-ms-bmp", "size": 763446, "path": "Publication:TR-186-2-09-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/", "__class": "Publication" }, { "id": "vucini_2008_rnp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Efficient Reconstruction from Non-uniform Point Sets", "date": "2008-07", "abstract": "We propose a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in the functional approximation of 3D data. We adopt a variational approach for the reconstruction and rendering of 3D data. The principle idea is based on data fitting via thin-plate splines. An approximation by B-splines offers more compact support for fast reconstruction. We adopt this method for large datasets by introducing a block-based reconstruction approach. This makes the method practical for large data sets. Our reconstruction will be smooth across blocks. We give reconstruction measurements as error estimations based on different parameter settings and also an insight on the computational effort. We show that the block size used in reconstruction has a negligible effect on the reconstruction error. Finally we show rendering results to emphasize the quality of this 3D reconstruction technique.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 827, "image_height": 556, "name": "vucini_2008_rnp-image.jpg", "type": "image/jpeg", "size": 68696, "path": "Publication:vucini_2008_rnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636, 196, 166 ], "date_from": "2008-06-09", "date_to": "2008-06-11", "event": "Computer Graphics International 2008", "issn": "0178-2789 (Print) 1432-2315 (Online)", "journal": "The Visual Computer", "lecturer": [ 636 ], "location": "Istanbul, Turkey", "note": "http://www.springerlink.com/content/r8578865643x0061/", "number": "7-9", "pages_from": "555", "pages_to": "563", "volume": "24", "research_areas": [], "keywords": [ "3D Object Modeling", "Non-uniform Reconstruction", "Variational Approximation", "B-splines" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 827, "image_height": 556, "name": "vucini_2008_rnp-image.jpg", "type": "image/jpeg", "size": 68696, "path": "Publication:vucini_2008_rnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vucini_2008_rnp-paper.pdf", "type": "application/pdf", "size": 14669433, "path": "Publication:vucini_2008_rnp", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/", "__class": "Publication" }, { "id": "vucini_2009", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "On Visualization and Reconstruction from Non-Uniform Point Sets using B-splines", "date": "2009-06", "abstract": "In this paper we present a novel framework for the visualization and reconstruction from non-uniform point sets.\r\nWe adopt a variational method for the reconstruction of 3D non-uniform data to a uniform grid of chosen resolution.\r\nWe will extend this reconstruction to an efficient multi-resolution uniform representation of the underlying\r\ndata. Our multi-resolution representation includes a traditional bottom-up multi-resolution approach and a novel\r\ntop-down hierarchy for adaptive hierarchical reconstruction. Using a hybrid regularization functional we can\r\nimprove the reconstruction results. Finally, we discuss further application scenarios and show rendering results\r\nto emphasize the effectiveness and quality of our proposed framework. By means of qualitative results and error\r\ncomparisons we demonstrate superiority of our method compared to competing methods", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1170, "image_height": 1013, "name": "vucini_2009-image.bmp", "type": "image/x-ms-bmp", "size": 3557710, "path": "Publication:vucini_2009", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636, 196, 166 ], "date_from": "2009-06-10", "date_to": "2009-06-12", "event": "Eurographics/IEEE Symposium on Visualization", "issn": "0167-7055", "journal": "Computer Graphics Forum", "lecturer": [ 636 ], "location": "Berlin/Germany", "note": "2nd Best Paper Award", "number": "3", "pages_from": "1007", "pages_to": "1014", "volume": "28", "research_areas": [], "keywords": [ "B-splines", "Image Processing and Computer Vision", "Non-uniform data", "Reconstruction" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01447.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "", "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vucini_2009-.pdf", "type": "application/pdf", "size": 10285223, "path": "Publication:vucini_2009", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-:thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1170, "image_height": 1013, "name": "vucini_2009-image.bmp", "type": "image/x-ms-bmp", "size": 3557710, "path": "Publication:vucini_2009", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/", "__class": "Publication" }, { "id": "vucini_erald-2007-FRI", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Face Recognition under Varying Illumination", "date": "2007-01", "abstract": "This paper proposes a novel pipeline to develop a Face Recognition System robust to illumination variation. We consider the case when only one single image per person is available during the training phase. In order to utilize the superiority of Linear Discriminant Analysis (LDA) over Principal Component Analysis (PCA) in regard to variable illumination, a number of new images illuminated from different directions are synthesized from a single image by means of the Quotient Image. Furthermore, during the testing phase, an iterative algorithm is used for the restoration of frontal illumination of a face illuminated from any arbitrary angle. Experimental results on the YaleB database show that our approach can achieve a top recognition rate compared to existing methods and can be integrated into real time face recognition system.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 109, "preview_image_height": 116, "name": "vucini_erald-2007-FRI-Paper.pdf", "type": "application/pdf", "size": 588683, "path": "Publication:vucini_erald-2007-FRI", "preview_name": "vucini_erald-2007-FRI-Paper:preview.png", "preview_type": "image/jpeg", "preview_size": 4941, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636, 637, 166 ], "address": "University of West Bohemia, Univerzitni 8, Box 314, CZ 306 14 Plzen, Czech Republic", "booktitle": "15th WSCG 2007", "date_from": "2007-01-29", "date_to": "2007-02-01", "editor": "Vaclav Skala", "isbn": "978-80-86943-01-5", "lecturer": [ 636 ], "location": "Plzen, Czech Republic", "note": "Full Paper", "organization": "WSCG", "pages_from": "57", "pages_to": "64", "publisher": "University of West Bohemia", "series": "WSCG’2007 Full Papers Proceedings", "research_areas": [], "keywords": [ "Dimensionality Reduction", "Face Recognition", "Image Synthesis", "Illumination Restoration" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 109, "preview_image_height": 116, "name": "vucini_erald-2007-FRI-Paper.pdf", "type": "application/pdf", "size": 588683, "path": "Publication:vucini_erald-2007-FRI", "preview_name": "vucini_erald-2007-FRI-Paper:preview.png", "preview_type": "image/jpeg", "preview_size": 4941, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/", "__class": "Publication" }, { "id": "vucini-2009-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "On Visualization and Reconstruction from Non-uniform Point Sets", "date": "2009-11", "abstract": "Technological and research advances in both acquisition and simulation devices provide continuously increasing high-resolution volumetric data that by far exceed today's graphical and display capabilities. Non-uniform representations offer a way of balancing this deluge of data by adaptively measuring (sampling) according to the importance (variance) of the data. Also, in many real-life situations the data are known only on a non-uniform representation. \r\n\r\nProcessing of non-uniform data is a non-trivial task and hence more difficult when compared to processing of regular data. Transforming from non-uniform to uniform representations is a well-accepted paradigm in the signal processing community. In this thesis we advocate such a concept. The main motivation for adopting this paradigm is that most of the techniques and methods related to signal processing, data mining and data exploration are well-defined and stable for Cartesian data, but generally are non-trivial to apply to non-uniform data. Among other things, \r\nthis will allow us to better exploit the capabilities of modern GPUs.\r\n\r\nIn non-uniform representations sampling rates can vary drastically even by several orders of magnitude, making the decision on a target resolution a non-trivial trade-off between accuracy and efficiency. In several cases the points are spread non-uniformly with similar density across the volume, while in other cases the points have an enormous variance in distribution. In this thesis we present solutions to both cases. For the first case we suggest computing reconstructions of the same volume in different resolutions based on the level of detail we are interested in. The second case scenario is the main motivation for proposing a multi-resolution scheme, where the scale of reconstruction is decided adaptively based on the number of points in each subregion of the whole volume.\r\n\r\nWe introduce a novel framework for 3D reconstruction and visualization from non-uniform scalar and vector data. We adopt a variational reconstruction approach. In this method non-uniform point sets are transformed to a uniform representation consisting of B-spline coefficients that are attached to the grid. With these coefficients we can define a C2 continuous function across the whole volume. Several testings were performed in order to analyze and fine-tune our framework. All the testings and the results of this thesis offer a view from a new and different perspective to the visualization and reconstruction from non-uniform point sets.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 707, "image_height": 492, "name": "vucini-2009-phd-Teaser.jpg", "type": "image/jpeg", "size": 125012, "path": "Publication:vucini-2009-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-Teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-Teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 636 ], "date_end": "2009", "date_start": "2006", "rigorosum": "2009-11-27", "supervisor": [ 166, 196 ], "research_areas": [], "keywords": 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"https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "PVG" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/PVG", "__class": "Project", "workgroup": { "id": "vis", "drupal_id": 1354, "name": "Visualization Group", "website": "https://www.cg.tuwien.ac.at/group/Visualization-Group", "projects": [ "ADAPT", "AngioVis", "Animated Cell Tab development", "AutARG", "avr", "BioNetIllustration", "COMRADE", "d10027", "d10162", "d10164", "d10206", "d10214", "d10413", "d10450", "d10489", "d4328", "d4335", "d4534", "d9275", "d9282", "d9522", "d9555", "d9671", "d9951", "deskollage", "diagvis", "exvisation", "Illustrare", "illvisation", "KASI", "ManyViews", "NeuroViewer", "ProcessIllVis", "ProKeyAnim", "PVG", "Scale-VS", "Scenario Pool", "Semantic Steering", "Sim-CT", "Smart-CT", "Smile 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"Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "d4328", "workgroup_id": "vis", "drupal_id": 4328, "drupal_path": "/research/projects/DiagVis-0", "name": "DiagVis\r\n2. year", "name_de": "DiagVis\r\nJahr 2 (KE 2009 offen)", "short_title": "DiagVis", "website": null, "status": "active", "short_abstract": null, "abstract": "Das DiagVis-Projekt bezieht sich auf wissenschaftliche Forschung und Entwicklung von innovativen Computergraphikmethoden zur Erleichterung und Verbesserung medizinischer Diagnostik.", "start_date": "2007-10-01", "end_date": "2009-02-28", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", 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"Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Balduz_01", "Basch_2011_ATA", "Bauer_David_2018", "Bauer_Johannes_2014_IWB", "bauer-2015-cbfd", "Bayat_2019", "bayer-2015-gapaot", "bbeer-2013", "Bechtold2020", "Beer_2011_DVE", "Beham_Michael_PSC", "beham-2014-cupid", "bernhard-2006-dvrcta", "bernhard-2014-GTOM", "bernhard-2016-gft", "Bernold_2019", "bernold-2019-epr", "bhore-2021-issac", "birkeland_aasmund_2014_pums", "Birkeland-2012-IMC", "BirsakHanzl-2009", "boeroendy-2022-uio", "boesch_2014_browserHistoryVis", "borgo-2013-gly", "borondy2022", "bouzari-thesis", "bramberger-3pv", "Brandorff-08-OV", "brandorff-2009-erv", "brandstaetter_01", "brandstaetter-2007-vosd", "Brandstaetter2020", "Braunsperger-2025_bsc", "breitenecker-2020-bct", "bront-2023-svo", "brucker-2010-RES", "Bruckner_Stefan_2015_VAS", "bruckner-2004-EVV", "bruckner-2005-AIV", "bruckner-2005-ATI", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IIV", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "bruckner-2010-ISM", "bruckner-2010-SES", "Bruckner-2012-VEA", "buerger_raphael_2006_3dpoly", "Buerger-2007-cmv", "Buerger-2007-eurovis", "buerger-2007-star", "bugnar-esk-2021", "burns-2007-fea", "bydlinski-2015-gapaot", "byska-2019-mdfc", "Cai_2018", "Caic2021", "Carata_2011_IVE", "carbesser-2013", "casellato-2016-pkg", "cellVIEW_2015", "cizmic-2018-evd", "cmolik-2020-tvcg", "Cornel_2020", "Cornel_Daniel_2015_VOC", "Cornel2016CFM", "coto-2005-MAC", "Cruz-thesis", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "Csuk_2011", "daae-lampe-2010-dif", "dataset-christmastree", "dataset-present", "dataset-stagbeetle", "Deutsch-2018", "Dhanoa_2021", "dhanoa-2025-ave", "Dhanoa2024", "Diehl_2015", "Diehl_2021", "Diehl-2017-Albero", "Dietrich_1", "dietrich-2016-viseq2", "diss-thesis-bratislava", "diss-thesis-magdeburg", "diss-thesis-siegen", "djuric-2020-wvo", "donabauer_2019_1", "donabauer-2015-asc", "draeger-2005-chain", "dworschak-2016-szcm", "dworschak-2016-szcm", "dworschak-2024-aml", "Eckelt_2017", "Eckelt_2018_01", "Edi_2019_10_01", "edlinger-2018-vwr", "eg-tut2005-iv", "Ehlers_PhD", "ehlers-2023-iro", "ehlers-2024-mmm", "ehlers-2024-vgs", "ehlers-2025-ait", "Eichner2022", "eitler-2024-sos", "eiweck-hnv-2021", "ellhotka-2025-ipo", "emsenhuber-2008-vhd", "erler-2025-lidarscout", "eschner-2023-evl", "eschner-2023-ims", "eschner-2025-ide", "eschner-blur-2022", "Escribano_2017", "Essler2022", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "facial2004", "Fechter_2011_DBS", "filipovic-2014-dect", "FISCHL-2012-CTASEG", "fmistelbauer-2014-ad", "fmistelbauer-2014-adict", "Ford-2012-HRV", "fourousan2021", "freiler-2008-ste", "fritz-2009-ieq", "Froehler_Berhnard_2015_ESM", "froschauer-2009-iod", "Fruehstueck_Anna_2015_DOM", "fuchs_raphael_2007_par", "fuchs_vhml", "fuchs-2008-del", "fuchs-vortex", "furmanova_2020", "gadllah_2016", "Gadllah_Hani_2016", "gall_2016", "Gall_2017", "gall_alexander_2016BA", "gall-2025-marv", "Gall2020", "Gall2021", "gangl-2018-gpsart", "Ganglberger-2022-cg", "ganglberger2019", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu_2011_VGP", "gavrilescu-2008-vsc", "gavrilescu-2009-postrend", "Gavrilescu-2010-CIE", "Gehrer_Daniel_CUI", "Gehrer-2017", "Gehrer-2017-molmach", "georgiev-2019-cbg", "gerl-2006-vhi", "geymayer-2017-std", "Gietl_2020", "Gillmann2021", "glanznig-2009-LAMC", "glinzner-2016-tex", "goel-2024-rdr", "Gogel2020", "gostler-2015-3dp", "grammatikaki-2025-htr", "grammatikaki-thesis", "grimm-2004-arefined", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I2", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P2", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-dia", "Groeller-2010-CVC", "Groeller-2010-IFI", "Groeller-2010-IVVI", "Groeller-2011-HSH", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "Groller_2021-12-03", "Gronde_2008", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "Grossmann_MA", "grossmann-2021-layout", "grossmann-2022-conceptSplatters", "grossmann-thesis", "gruber-2025-vps", "Gruenauer-2011-CAT", "Gschwantner_2011_AMQ", "gundacker-2020-wlm", "Gurbat_2011_SBS", "gusenbauer-2018", "gusenbauer-2018", "gusenbauer-2018-P", "gutekunst_2019", "Hadwiger-2002-Fas", "haidacher_2010_statTF", "haidacher-2004-FVV", "haidacher-2005-MND", "haidacher-2007-idr", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-phd", "haidacher-2011-VAM", "Hainoun2019", "Halladjian_2020", "hanzl-2011", "hartl-2008-vcd", "hartmann-2005-adv", "haushofer-2018-skinning", "Heim_2020", "Heim_2021", "Heim-2017", "heim-2024-accustripes", "heim-gall-2020-dde", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2008-sam", "Heinzl2021", "Herghelegiu-2012-BPV", "herzberger-2023-swv", "herzberger-2024-roh", "Hirsch_Christian_2015_ABL", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hochmayr_Manuel_2015_PSE", "hochmayr_manuel-2011-VoRMD", "Hochpoechler_2016_VR", "horvath-2018-ism", "hromniak-2019-vcn", "huber-2025-eed", "Iijima-2020-iV", "indirectBiasLanguageModels-2023", "irendorfer-2024-uat", "irger-2023-ves", "Ismail-2018", "jank-2022-cbf", "Kanitsar-2002-CPR", "Kanitsar-2003-Adva", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "CROSSMOD", "workgroup_id": "rend", "drupal_id": 4259, "drupal_path": "/research/projects/CROSSMOD", "name": "Cross-Modal", "name_de": null, "short_title": "CROSSMOD", "website": null, "status": "active", "short_abstract": "The CROSSMOD (Cross-Modal Perceptual Interaction and Rendering) project studies the effects that the visual and audio channels have on each other and exploits these releations to improve rendering speed", "abstract": "Virtual environments (VEs) play an increasingly important role in our society. Currently two main\nsensorial channels are exploited in VEs: visual and auditory, although sound is greatly underused.\nThe ever-increasing scene complexity of VEs means that it is currently not possible to display\nhighly realistic scenes in real time despite the availability of modern high-performance graphics and\naudio processors. However, the realism and quality of a virtual image/sound needs to be as good as\nwhat the user can perceive: we only need to display what is necessary. Despite recent research in\npsychology, little work exists on cross-modal effects, i.e., the effects that each channel (visual and\nauditory) has on the other, to improve the efficiency and quality of VEs. CROSSMOD will study\nthese effects and develop a better understanding of how perceptual issues affect auditory/visual\ndisplay; this understanding will lead to the development of novel algorithms for selectively\nrendering VEs. The cross-modal effects studied will include the effect of spatial/latency congruence\non quality perception, attention-control, sound-induced changes in visual perception and\nfoveal/peripheral audiovisual effects. The research will be guided by its applicability to the\nimprovement of VE display and VE authoring. The solutions developed by CROSSMOD will\nenable the display of perceptually highly realistic environments in real time even for very complex\nscenes, as well as the use of active cross-modal effects such as attention control in the display and\nauthoring of VEs. An integrated software cross-modal manager will be developed, using results of\nexperiments identifying which cross-modal effects are useful for VE display. We will evaluate our\napproach on three target applications: computer games, design/architecture and clinical psychiatry,\nusing platforms adapted to each application: PCs with audio/graphics cards, a projector-enhanced\n“personal VE” setup and large-screen immersive VE systems.", "start_date": "2005-12-01", "end_date": "2008-12-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2024-val", "lipp2011a", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "MANTLER-2007-DMBBC", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "matt2011", "MATTAUSCH-2006-AVC", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-surcgf", "musialski-2015-souos", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger-2016-sgp", "OTEPKA-2020-PPC", "panfili-2021-myop", "pistellato-2023-elp", "preiner_2010_GIPC", "preiner_2012_AS", "Preiner_2019", "preiner2014clop", "PUEYO-2019-SCL", "PURGATHOFER-2006-IHB", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2023-ani", "rasoulzadeh-2024-strokes2surface", "reisinger-2023-iad", "ROEGNER-2015-IBR", "roth_vdi", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "santos-2017-dacge", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer2011c", "scherzer2011d", "SCHUETZ-2015-HQP", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "SSMW09", "stappen_SteFAS", "steiner_2016_isad", "STEINLECHNER-2019-APS", "STURN-2013-LGI", "STURN-2013-LSI", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-12-01", "ulschmid-2024-reo", "ulschmid-2025-apc", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "wallner-2015-ModelingRoutinization", "WEBER-2015-PRA", "Wimmer-1996-ITB", "Wimmer-1997-ITT", "Wimmer-1998-Fas", "Wimmer-1998-SMO", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-CCL", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "Wimmer-2006", "WIMMER-2006-CES", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Wimmer-thesis", "wonka-2000-VisP", "wonka-2000-VisX", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "xmas-2023", "ymca", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "publications_first": [], "project_leader": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d4307", "d4314", "d4342", "d4386", "d4559", "d4729", "d4958", "d4984", "d9259", "Desiree", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "REPLICATE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "TERAPOINTS", "Treelumination", "UrbanViz", "Wohnen 4.0" ], "publication_field": [ { "publ_id": "ADORJAN-2013-ASE", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Adorjan-2015", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "agyemang-2021-bsdfproxyppg", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "aichner-2016-sadf", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "akan-vf", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Ams25", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "antes-2026-maa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "antes-g", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "arikan-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ASCHL-2022-OTV", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "AUER-2010-PPT3D", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ausserer-2026-baa", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "auzinger-2015-phd", "field_id": "reviewer_2", "ordernum": 0 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U-CREATE", "contract_number": null, "comment": null }, { "id": "GameTools", "contract_number": null, "comment": null }, { "id": "realreflect", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=EU_IST_6th", "__class": "FundingOrganisation" } } ], "research_areas": [ { "id": "Perception", "drupal_id": 4136, "name": "Perception", "short_abstract": "In this area, our research focuses on understanding and using the capabilities of human perception for designing high-quality graphics algorithms and effective visualizations.", "abstract": "In computer graphics we produce images, videos, visualizations and other content that is perceived by humans. By understanding the limits of human perception, we can design and optimize rendering algorithms that perfectly fit users' needs, tailor visualizations to make data better understandable, and effectively draw the user's attention to important information.
\r\n", "website": "https://www.cg.tuwien.ac.at/research/area/Perception", "teaser": { "name": "teaser.PNG", "path": "research_area:Perception", "type": "image/png", "size": 259428, "orig_name": "teaser.PNG", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Perception/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend", "vis" ], "publications": [ "antes-2026-maa", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bernhard-2016-gft", "birkeland_aasmund_2014_pums", "cardoso-2022-rtpercept", "cardoso-thesis", "ERLER-2017-HVR", "eschner-2023-ims", "eschner-blur-2022", "georgiev-2019-cbg", "Groeller_2016_P7", "grossmann-2021-layout", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "huerbe-2019-BA", "Kathi-2018-VRB", "koch-2019-PR", "Koszticsak-2017-ewt", "kraehsmaier-dsc", "KREUZER-2017-PBF", "kristmann-2022-occ", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "kroesl-2020-XREye", "Laschober-2018", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "mayr-2021-wec", "mindek-2017-dsn", "pahr-2024-ieo", "panfili-2019-VAVR", "panfili-2021-myop", "plank-2017-sldg", "polatsek-2018-stv", "Reichinger-2016-spaghetti", "schindler_2020vis", "schuller_reichl-2019-avt", "Semmelrath-2022-IRS", "stappen_SteFAS", "steinkellner-2022-dll", "sundstedt-2013-vag", "thesis-kronsteiner", "trautner-2018-imd", "Vasylevska_Khrystyna-2019-TEFVR", "viola-evr", "Waldin_Nicholas_2016_Colormaps", "Waldin_Nicholas_2016_Individualization", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldner-2013-facetCloudsGI", "waldner-2014-af", "waldner-2017-vph", "waldner-2019-rld" ], "projects": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Perception", "__class": "ResearchArea" } ], "publications": [ { "id": "bernhard-2011-bmtf", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Bi-modal Task Faciliation in a Virtual Traffic Scenario through Spatialized Sound Rendering ", "date": "2011-11", "abstract": "Audio rendering is generally used to increase the realism of Virtual Environments (VE). In addition, audio rendering may also improve the performance in specific tasks carried out in interactive applications such as games or simulators.\n\nIn this paper we investigate the effect of the quality of sound rendering on task performance in a task which is inherently vision dominated. The task is a virtual traffic gap crossing scenario with two elements: first, to discriminate crossable and uncrossable gaps in oncoming traffic, and second, to find the right timing to start crossing the street without an accident.\n\nA study was carried out with 48 participants in an immersive Virtual Environment setup with a large screen and headphones. Participants were grouped into three different conditions. In the first condition, spatialized audio rendering with head-related transfer function (HRTF) filtering was used. The second group was tested with conventional stereo rendering, and the remaining group ran the experiment in a mute condition.\n\nOur results give a clear evidence that spatialized audio improves task performance compared to the unimodal mute condition. Since all task-relevant information was in the participants' field-of-view, we conclude that an enhancement of task performance results from a bimodal advantage due to the integration of visual and auditory spatial cues.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "bernhard-2011-bmtf-image.jpg", "type": "image/jpeg", "size": 231255, "path": "Publication:bernhard-2011-bmtf", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660, 838, 193 ], "issn": "1544-3558", "journal": "ACM Transactions on Applied Perception", "note": "Article No. 24", "number": "4", "pages_from": "1", "pages_to": "22", "volume": "8", "research_areas": [ "Rendering" ], "keywords": [ "bimodal task faciliation", "pedestrian safety", "virtual environments", "audio-visual perception", "head related transfer functions" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2043606&CFID=76205769&CFTOKEN=78897554", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "draft", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": null, "preview_image_height": null, "name": "bernhard-2011-bmtf-draft.pdf", "type": "application/pdf", "size": 10940015, "path": "Publication:bernhard-2011-bmtf", "preview_name": "bernhard-2011-bmtf-draft:preview.png", "preview_type": "application/pdf", "preview_size": 14528250, "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "bernhard-2011-bmtf-image.jpg", "type": "image/jpeg", "size": 231255, "path": "Publication:bernhard-2011-bmtf", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png" } ], "projects_workgroups": [ "CROSSMOD", "GPV" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/", "__class": "Publication" }, { "id": "GRELAUD-2009-EPA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Efficient and Practical Audio-Visual Rendering for Games using Crossmodal Perception", "date": "2009-02", "abstract": "Interactive applications such as computer games, are inherently audio visual, requiring high-quality rendering of complex 3D audio soundscapes and graphics environments. A frequent source of audio events is impact sounds, typically generated with physics engines. In this paper, we first present an optimization allowing efficient usage of impact sounds in a unified audio rendering pipeline, also including prerecorded sounds. We also exploit a recent result on audio-visual crossmodal perception to introduce a new level-of-detail selection algorithm, which jointly chooses the quality level of audio and graphics rendering. We have integrated these two techniques as a comprehensive crossmodal audio-visual rendering pipeline in a home-grown game engine, thus demonstrating the potential utility of our approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "GRELAUD-2009-EPA-teaser.jpg", "type": "image/jpeg", "size": 171903, "path": "Publication:GRELAUD-2009-EPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 800, 801, 193, 802, 803 ], "address": "New York, NY, USA", "booktitle": "Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2009", "date_from": "2009-02-27", "date_to": "2009-03-01", "isbn": "978-1-60558-429-4", "lecturer": [ 800 ], "location": "Boston, Massachusetts", "pages_from": "177", "pages_to": "182", "publisher": "ACM", "research_areas": [ "Rendering" ], "keywords": [ "audio-visual rendering", "crossmodal perception" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRELAUD-2009-EPA-Preprint.pdf", "type": "application/pdf", "size": 6393742, "path": "Publication:GRELAUD-2009-EPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-Preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "GRELAUD-2009-EPA-teaser.jpg", "type": "image/jpeg", "size": 171903, "path": "Publication:GRELAUD-2009-EPA", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/", "__class": "Publication" }, { "id": "labschuetz-2010-bms", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Enabling bimodal search in games by spatial sound rendering ", "date": "2010", "abstract": "A computer game with a visual search taks was developed to investigate whether search performance can be enhanced by sounds which are spatialized with sound rendering methods (e.g. Head Related Transfer Functions). The game was prepared for a pilot user study to test the hypothesis that spatialized audio can improve performance in the game's task. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 667, "image_height": 418, "name": "labschuetz-2010-bms-image.jpg", "type": "image/jpeg", "size": 71829, "path": "Publication:labschuetz-2010-bms", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840 ], "date_end": "2010-04", "date_start": "2009-09", "matrikelnr": "8971103", "supervisor": [ 660 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 667, "image_height": 418, "name": "labschuetz-2010-bms-image.jpg", "type": "image/jpeg", "size": 71829, "path": "Publication:labschuetz-2010-bms", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image:thumb{{size}}.png" }, { "description": "Report and Documentation", "filetitle": "report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "labschuetz-2010-bms-report.pdf", "type": "application/pdf", "size": 793349, "path": "Publication:labschuetz-2010-bms", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-report:thumb{{size}}.png" } ], "projects_workgroups": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/", "__class": "Publication" }, { "id": "labschuetz-2011-rsr", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Realistic real-time sound rendering in virtual environments", "date": "2011", "abstract": "Spatial audio rendering plays an important role in simulating realistic\r\nvirtual environments. This report gives an overview. It contains an introduction to the physical background of sound and the psychophysical background of sound. Spatial audio in current applications such as video games is reviewed and an overview of acoustical simulations and applications with special interest in real-time application is given. Numerical and geometric methods are presented and compared.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1326, "image_height": 1008, "name": "labschuetz-2011-rsr-image.jpg", "type": "image/jpeg", "size": 142397, "path": "Publication:labschuetz-2011-rsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 840 ], "supervisor": [ 660 ], "research_areas": [], "keywords": [ "real-time audio rendering", "psychoacoustics", "virtual environments", "sound in computer games", "physics of soundpropagation" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1326, "image_height": 1008, "name": "labschuetz-2011-rsr-image.jpg", "type": "image/jpeg", "size": 142397, "path": "Publication:labschuetz-2011-rsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "labschuetz-2011-rsr-paper.pdf", "type": "application/pdf", "size": 3792807, "path": "Publication:labschuetz-2011-rsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/", "__class": "Publication" }, { "id": "mattausch-2008-CHC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "CHC++: Coherent Hierarchical Culling Revisited", "date": "2008-04", "abstract": "We present a new algorithm for efficient occlusion culling using hardware occlusion queries. The algorithm significantly improves on previous techniques by making better use of temporal and spatial coherence of visibility. This is achieved by using adaptive visibility prediction and query batching. As a result of the new optimizations the number of issued occlusion queries and the number of rendering state changes are significantly reduced. We also propose a simple method for determining tighter bounding volumes for occlusion queries and a method which further reduces the pipeline stalls. The proposed method provides up to an order of magnitude speedup over the previous state of the art. The new technique is simple to implement, does not rely on hardware calibration and integrates well with modern game engines.", "authors_et_al": false, "substitute": null, "main_image": { "description": "color coded state changes induced by CHC++", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1670, "image_height": 1420, "name": "mattausch-2008-CHC-image.png", "type": "image/png", "size": 32953, "path": "Publication:mattausch-2008-CHC", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326, 198, 193 ], "date_from": "2008-04-14", "date_to": "2008-04-18", "event": "EUROGRAPHICS 2008", "issn": "0167-7055", "journal": "Computer Graphics Forum (Proceedings Eurographics 2008)", "lecturer": [ 326 ], "location": "Crete", "number": "2", "pages_from": "221", "pages_to": "230", "volume": "27", "research_areas": [ "Rendering" ], "keywords": [ "temporal coherence", "dynamic occlusion culling", "occlusion queries" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "mattausch-2008-CHC-draft.pdf", "type": "application/pdf", "size": 2085122, "path": "Publication:mattausch-2008-CHC", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "EG slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": 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"main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 720, "preview_image_height": 480, "name": "mattausch-2008-CHC-multiqueries-video.avi", "type": "video/x-msvideo", "size": 37535148, "path": "Publication:mattausch-2008-CHC", "preview_name": "mattausch-2008-CHC-multiqueries-video:preview.png", "preview_type": "image/jpeg", "preview_size": 22685, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-multiqueries-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-multiqueries-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-multiqueries-video:video.mp4" }, { "description": "used walkthroughs in powerplant", "filetitle": "walkthrough-videos", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 800, "preview_image_height": 600, "name": "mattausch-2008-CHC-walkthrough-videos.avi", "type": "video/x-msvideo", "size": 84248576, "path": "Publication:mattausch-2008-CHC", "preview_name": "mattausch-2008-CHC-walkthrough-videos:preview.png", "preview_type": "image/jpeg", "preview_size": 17035, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-walkthrough-videos.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-walkthrough-videos:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-walkthrough-videos:video.mp4" } ], "projects_workgroups": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/", "__class": "Publication" }, { "id": "Scherzer-2007-PCS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Pixel-Correct Shadow Maps with Temporal Reprojection and Shadow Test Confidence", "date": "2007-06", "abstract": "Shadow mapping suffers from spatial aliasing (visible as blocky shadows) as well as temporal aliasing (visible as flickering). Several methods have already been proposed for reducing such artifacts, but so far none is able to provide satisfying results in real time.\n\nThis paper extends shadow mapping by reusing information of previously rasterized images, stored efficiently in a so-called history buffer. This buffer is updated in every frame and then used for the shadow calculation. In combination with a special confidence-based method for the history buffer update (based on the current shadow map), temporal and spatial aliasing can be completely removed. The algorithm converges in about 10 to 60 frames and during convergence, shadow borders are sharpened over time. Consequently, in case of real-time frame rates, the temporal shadow adaption is practically imperceptible. The method is simple to implement and is as fast as uniform shadow mapping, incurring only the minor speed hit of the history buffer update. It works together with advanced filtering methods like percentage closer filtering and more advanced shadow mapping techniques like perspective or light space perspective shadow maps.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Pixel-correct shadow maps as a result of using a shadow map (size 10242) with shadow test confidence together with a history buffer. Note that projection and perspective aliasing are completely removed.", "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1576, "image_height": 1024, "name": "Scherzer-2007-PCS-image1.png", "type": "image/png", "size": 1924365, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 452, 356, 193 ], "booktitle": "Rendering Techniques 2007 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2007-06-25", "date_to": "2007-06-27", "editor": "Jan Kautz and Sumanta Pattanaik", "isbn": "978-3-905673-52-4", "lecturer": [ 452 ], "location": "Grenoble, France", "organization": "Eurographics", "pages_from": "45", "pages_to": "50", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "shadow mapping" ], "weblinks": [], "files": [ { "description": "Pixel-correct shadow maps as a result of using a shadow map (size 10242) with shadow test confidence together with a history buffer. Note that projection and perspective aliasing are completely removed.", "filetitle": "image1", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1576, "image_height": 1024, "name": "Scherzer-2007-PCS-image1.png", "type": "image/png", "size": 1924365, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1:thumb{{size}}.png" }, { "description": "In this figure we used our new shadow mapping technique (PCSM) toshow that even scenarios were projection aliasing is the dominant source of error, we can produce the correct shadowing solution.", "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1576, "image_height": 1024, "name": "Scherzer-2007-PCS-image2.png", "type": "image/png", "size": 1857584, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image2.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image2:thumb{{size}}.png" }, { "description": "In this figure we used our new shadow mapping technique (PCSM) toshow that even scenarios were projection aliasing is the dominant source of error, we can produce the correct shadowing solution.", "filetitle": "image3", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1576, "image_height": 1024, "name": "Scherzer-2007-PCS-image3.png", "type": "image/png", "size": 783356, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image3.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image3:thumb{{size}}.png" }, { "description": "New fragments (shown in red) without history that result from a camera translation.", "filetitle": "image4", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 684, "name": "Scherzer-2007-PCS-image4.png", "type": "image/png", "size": 619467, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image4.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image4:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Scherzer-2007-PCS-Preprint.pdf", "type": "application/pdf", "size": 8878009, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-Preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Scherzer-2007-PCS-video.wmv", "type": "text/plain", "size": 30221796, "path": "Publication:Scherzer-2007-PCS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-video.wmv", "thumb_image_sizes": [] } ], "projects_workgroups": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/", "__class": "Publication" }, { "id": "SCHERZER-2008-FSR", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Frame Sequential Interpolation for Discrete Level-of-Detail Rendering", "date": "2008-06", "abstract": "In this paper we present a method for automatic interpolation between adjacent discrete levels of detail to achieve smooth LOD changes in image space. We achieve this by breaking the problem into two passes: We render the two LOD levels individually and combine them in a separate pass afterwards. The interpolation is formulated in a way that only one level has to be updated per frame and the other can be reused from the previous frame, thereby causing roughly the same render cost as with simple non interpolated discrete LOD rendering, only incurring the slight overhead of the final combination pass. Additionally we describe customized interpolation schemes using visibility textures.\n\nThe method was designed with the ease of integration into existing engines in mind. It requires neither sorting nor blending of objects, nor does it introduce any constrains in the LOD used. The LODs can be coplanar, alpha masked, animated, impostors, and intersecting, while still interpolating smoothly.\n\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1311, "image_height": 804, "name": "SCHERZER-2008-FSR-thumbnail.png", "type": "image/png", "size": 750809, "path": "Publication:SCHERZER-2008-FSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 452, 193 ], "date_from": "2008-06-23", "date_to": "2008-06-25", "event": "Eurographics Symposium on Rendering 2008", "issn": "0167-7055", "journal": "Computer Graphics Forum (Proceedings EGSR 2008)", "lecturer": [ 452 ], "location": "Sarajevo, Bosnia-Herzegovina", "number": "4", "pages_from": "1175", "pages_to": "1181", "volume": "27", "research_areas": [ "Rendering" ], "keywords": [ "LOD blending", "real-time rendering", "levels of detail" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SCHERZER-2008-FSR-draft.pdf", "type": "application/pdf", "size": 12907147, "path": "Publication:SCHERZER-2008-FSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-draft:thumb{{size}}.png" }, { "description": null, "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1311, "image_height": 804, "name": "SCHERZER-2008-FSR-thumbnail.png", "type": "image/png", "size": 750809, "path": "Publication:SCHERZER-2008-FSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 768, "preview_image_height": 576, "name": "SCHERZER-2008-FSR-video.avi", "type": "video/x-msvideo", "size": 46305280, "path": "Publication:SCHERZER-2008-FSR", "preview_name": "SCHERZER-2008-FSR-video:preview.png", "preview_type": "image/jpeg", "preview_size": 81994, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-video:video.mp4" } ], "projects_workgroups": [ "CROSSMOD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/", "__class": "Publication" }, { "id": "SUNDSTEDT-2008-ASF", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Psychophysical Study of Fixation Behavior in a Computer Game", "date": "2008-08", "abstract": "Prediction of gaze behavior in gaming environments can be a tremendously useful asset to game designers, enabling them to improve gameplay, selectively increase visual fidelity, and optimize the distribution of computing resources. The use of saliency maps is currently being advocated as the method of choice for predicting visual attention, crucially under the assumption that no specific task is present. This is achieved by analyzing images for low-level features such as motion, contrast, luminance, etc. However, the majority of computer games are designed to be easily understood and pose a task readily apparent to most players. Our psychophysical experiment shows that in a task-oriented context such as gaming, the predictive power of saliency maps at design time can be weak. Thus, we argue that a more involved protocol utilizing eye tracking, as part of the computer game design cycle, can be sufficiently robust to succeed in predicting fixation behavior of players.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1450, "image_height": 536, "name": "SUNDSTEDT-2008-ASF-thumbnail.png", "type": "image/png", "size": 374956, "path": "Publication:SUNDSTEDT-2008-ASF", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 730, 731, 193, 732 ], "booktitle": "ACM Symposium on Applied Perception in Graphics and Visualization 2008", "date_from": "2008-08-09", "date_to": "2008-08-10", "doi": "10.1145/1394281.1394288", "editor": "Sarah Creem-Regehr and Karol Myszkowski", "isbn": "978-1-59593-981-4", "lecturer": [ 730 ], "location": "Los Angeles, California", "pages_from": "43", "pages_to": "50", "publisher": "ACM", "research_areas": [], "keywords": [ "saliency", "eye tracking", "electronic games", "visual attention", "psychophysics" ], "weblinks": [], "files": [ { "description": null, "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "SUNDSTEDT-2008-ASF-draft.pdf", "type": "application/pdf", "size": 5044193, "path": "Publication:SUNDSTEDT-2008-ASF", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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"Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "NeuroViewer", "workgroup_id": "vis", "drupal_id": 4257, "drupal_path": "/research/projects/NeuroViewer", "name": "NeuroViewer: interactive visualization and exploration framework for neural networks of fruit fly brains", "name_de": null, "short_title": "NeuroViewer", "website": null, "status": "active", "short_abstract": "Goal of this project is to provide to the Research Institute of Molecular Pathology (IMP) an interactive visualization and exploration framework for neural networks of fruit fly brains, in the following called \"NeuroViewer\".", "abstract": null, "start_date": "2008-04-01", "end_date": "2008-12-31", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", 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1 }, { "publ_id": "2017-kouril-illcell", "field_id": "co_supervisor", "ordernum": 0 }, { "publ_id": "alsallakh-2009-iva", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "altendorfer-2008-vts", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "amirkhanov-2012-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "amirkhanov-2021-diss", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "ammer-2008-lst", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "AndreUrsits_2013_APP", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Artner-2005-Thesis", "field_id": "supervisor", "ordernum": 2 }, { "publ_id": "audioflow", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "balabanian-2009-mav", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bartroli-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Basch_2011_ATA", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Bauer_David_2018", "field_id": "supervisor", 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"https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "LEOPOLD", "workgroup_id": "External", "drupal_id": 4261, "drupal_path": "/research/projects/LEOPOLD", "name": "Lively Experience of the Past of Leopoldsberg from Digital Archaeological Data ", "name_de": null, "short_title": "LEOPOLD", "website": null, "status": "active", "short_abstract": "The main objective of this project is to research and develop tools to make abstract, digital archaeological and historical data perceivable for the public using mixed reality edutainment systems. Another goal is the development of a Harris Matrix editor to manage stratigraphic relations of an excavation site and use it to retrieve digital archaeological data.", "abstract": "The main objective of this project is to research and develop tools to make abstract, digital archaeological and historical data perceivable for the public using mixed reality technology. Pastime events will be experienced in an interactive, multimodal way, simultaneously addressing more senses. For that purpose three mixed reality edutainment installations that mediate concrete historical facts will be constructed and evaluated. The pedagogical goal is to provoke the interest of users by surprising and exciting them. The installations are seamlessly embedded on the historical site and allow a blended experience of presence and pastime. The content and the story for the mixed reality installations are thereby directly derived from digital archaeological and historical data. The background for the story will be certain events or periods in history related to the Leopoldsberg in Vienna. They range from the age of the Celts to the end of World War II. Another research goal is the development of a tool to manage stratigraphic relations of an excavation site more efficiently. It is called Stratigraphic Sequence Composer or SSC for short and is used to build up and administer a representation of an archaeological stratification in form of a sequential diagram or Harris Matrix. It is planned to provide an interface to a data base and a GIS system, so that digital archaeological data can be directly accessed by selecting nodes of the Harris Matrix.
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Harris in 1973 - is the established way of representing the archaeological stratigraphy of an excavation. The Harris Matrix is a sequential diagram defining relations between stratigraphic units. It is an important method to document the stratification that is destroyed by the excavation process and hence a vital tool for analysis. Although the Harris Matrix has become a quasi standard of archaeological stratigraphy, only a few software tools exist to create and edit these diagrams. An evaluation of these tools showed that they do not completely comply with the theory or suffer from poor usability. Therefore we decided to develop a new application, called Harris Matrix Composer (HMC). Dr. Harris was involved in the evaluation of early prototypes to guarantee compliance with his theory. User tests were undertaken to address usability problems. The HMC provides a graph editor with an intuitive graphical user interface for editing a Harris Matrix throughout the entire excavation process. It supports valid Harris Matrix creation and indicates invalid units and relations. The theory has been extended to allow for temporal relations as well. Furthermore units can be grouped into structural entities called phases and into periods, assigning them to a historical epoch. A powerful interface to the GIS system ArcGIS will be developed to access layers for visualization and analysis by selecting units of the Harris Matrix. In this way the HMC becomes also a unique tool for the management and retrieval of digital archaeological data.", "authors_et_al": false, "substitute": null, "main_image": { "description": "HMC Screenshot", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 900, "name": "TRA08-image.jpg", "type": "image/jpeg", "size": 573371, "path": "Publication:TRA08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 237, 480 ], "booktitle": "Digital Heritage, Proceedings of the 14th International Conference on Virtual Systems and Multimedia", "date_from": "2008-10-20", "date_to": "2008-10-25", "editor": "M. Ioannides, A. Addison, A. Georgopoulos, L. Kalisperis", "isbn": "978-963-9911-00-0", "lecturer": [ 237 ], "location": "Limassol, Cyprus", "organization": "VSMM Commitee", "pages_from": "13", "pages_to": "20", "research_areas": [], "keywords": [ "Harris Matrix", "Excavation Management and Analysis", "Archaeological Stratigraphy" ], "weblinks": [], "files": [ { "description": "HMC Screenshot", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1200, "image_height": 900, "name": "TRA08-image.jpg", "type": "image/jpeg", "size": 573371, "path": "Publication:TRA08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TRA08-paper.pdf", "type": "application/pdf", "size": 2021099, "path": "Publication:TRA08", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "LEOPOLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/", "__class": "Publication" }, { "id": "TRA08b", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "The Harris Matrix Composer - A New Tool to Manage Archaeological Stratigraphy", "date": "2008-11", "abstract": "The Harris Matrix - formulated by Dr. Edward C. Harris in 1973 - is the established way of representing the archaeological stratigraphy of an excavation. The Harris Matrix is a sequential diagram defining stratigraphic relations between stratigraphic units. It is an important method to document the stratification that is destroyed by the excavation process and hence a vital tool for stratigraphic analysis. \r\nAlthough the Harris Matrix has become a quasi standard of archaeological stratigraphy, only a few software tools exist to create and edit these diagrams. An evaluation of these tools showed that they do not completely comply with the theory or suffer from poor usability. Therefore we decided to develop a new application addressing these issues, called Harris Matrix Composer (HMC). Dr. Harris was involved in the evaluation of early prototypes to guarantee compliance with his theory. User tests were undertaken to discover and handle usability problems.\r\nThe main component of the HMC is a graph editor with an intuitive graphical user interface for creating and editing a Harris Matrix throughout the entire stratigraphic excavation process. Users add graphical symbols that represent stratigraphic units (either deposits or surfaces) and determine their stratigraphic relations by drawing edges between two such symbols. The application supports valid Harris Matrix creation and indicates invalid units and relations. In addition to stratigraphic relations, temporal relations can be added by drawing special edges or grouping units into periods. Phases define structural relations, like posts or postholes of a dwelling. \r\nThe HMC will be developed into a powerful interface to a GIS system, like ArcGIS to access single surface maps and related databases for visualization and stratigraphic analysis by selecting units of the Harris Matrix. In a similar way it will work together with the point cloud editor SCANOPY to filter these vast data sets.\r\nA trial beta version and further information is available at the web site: www.harrismatrixcomposer.com\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "HMC Screenshot", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 600, "name": "TRA08b-image.jpg", "type": "image/jpeg", "size": 249701, "path": "Publication:TRA08b", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 237, 480 ], "address": "Rathaus, Friedrich-Schmidt- Platz 1, 1010 Vienna", "booktitle": "Kulturelles Erbe und Neue Technologien − Workshop \"Archäologie und Computer\"", "date_from": "2008-11-03", "date_to": "2008-11-05", "editor": "Wolfgang Börner, Susanne Uhlirz", "isbn": "978-3-85161-016-1", "lecturer": [ 237 ], "location": "Vienna, Austria", "note": "http://www.stadtarchaeologie.at/", "organization": "Museen der Stadt Wien – Stadtarchäologie", "publisher": "Phoibos Verlag", "series": "Archäologie und Computer", "research_areas": [], "keywords": [ "harris matrix", "archaeological stratigraphy", "graph theory" ], "weblinks": [], "files": [ { "description": "HMC Screenshot", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 600, "name": "TRA08b-image.jpg", "type": "image/jpeg", "size": 249701, "path": "Publication:TRA08b", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TRA08b-Paper.pdf", "type": "application/pdf", "size": 847634, "path": "Publication:TRA08b", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "LEOPOLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/", "__class": "Publication" }, { "id": "traxler-2009-dhm", "type_id": "WorkshopTalk", "tu_id": null, "repositum_id": null, "title": "Design of the Harris Matrix Composer, a new tool to create and edit Harris Matrices ", "date": "2009-09-17", "abstract": "The Harris Matrix - formulated by Dr. Edward C. Harris in 1973 - is the established way of representing the archaeological stratigraphy of an excavation. The Harris Matrix is a sequential diagram defining stratigraphic relations between stratigraphic units. It is an important method to document the stratification that is destroyed by the excavation process and hence a vital tool for analysis. The theory was recently extended to distinguish between two types of stratigraphic units, deposits and surfaces. Deposits represent layers that are dug away and hence are volumetric data, whereas surfaces represent immaterial interfaces between layers of stratigraphy. Based on the analysis of finds and samples temporal relations, like “later” or “contemporary” can be set to supplement stratigraphic ones. The analysis also results in a division of stratigraphic units into phases and periods. Phases are structural entities, like post-holes of an ancient dwelling. Periods represent a certain historical epoch. Since this extension of the theory is not considered by any tool, we decided to design and develop a new one, the Harris Matrix Composer (HMC). With the HMC a Harris Matrix can be created and edited by drawing its graph structure with an intuitive and easy to use GUI. A layout mechanism arranges units into a top-down structure that reflects their stratigraphic and temporal relations. The validity checker helps users to avoid errors. The HMC will have an interface to a GIS system to access digital archaeological data by selecting units, phases or periods in the Harris Matrix and hence in a meaningful way for analysis. In that respect it will close a gap in the archaeological toolbox.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 480, 237 ], "address": "Austrian Academy of Sciences, Sonnenfelsgasse 19 , A-1010 Vienna ", "date_from": "2008-09-17", "date_to": "2008-09-19", "event": "\"35 Jahre Harris Matrix\" - International Conference on Archaeological Stratigraphy", "lecturer": [ 237 ], "location": "Vienna, Austria", "organization": "Austrian Academy of Sciences, VIAS - Vienna Institute for Archaeological Science, University of Vienna and the Bermuda Maritime Museum.", "publisher": "Austrian Academy of Sciences", "research_areas": [], "keywords": [ "GUI Design", "Usability", "Archaeological Stratigraphy", "Harris Matrix" ], "weblinks": [], "files": [], "projects_workgroups": [ "LEOPOLD" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/traxler-2009-dhm/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/LEOPOLD", "__class": "Project", "workgroup": { "id": "External", "drupal_id": 1357, "name": "Other", "website": "https://www.cg.tuwien.ac.at/group/Other", "projects": [ "LEOPOLD", "VRVis" ], "research_areas": [], "publications": [ "Ahmed-2008-EGVE", "Bauer_Dominik_2018_VR", "Berger_2011_UAE", "brunnhuber-2010-behavior-handicapped", "Cai_2018", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "cornel-2022-wih", "diehl-2013-VTA", "donabauer_2019_1", "Eibner-12", "ERLER-2017-HVR", "Freiler-2008-Set", "Gan-2011-ICU", "Ganuza", "Ganuza-2017-IVCSGM", "heinzl-2008-thesis", "ilcik-2008-sgfa", "Kathi-2018-VRB", "kavelar_albert_2010_ebic", "Kellner-2021-DA", "kim_2009_iPhone", "Kim-2008_FWIP", "KOEPPEL-2025-Nearfield", "Konev-FCV2018", "konyha_2006_int", "Konyha_2007_SCV", "Konyha_2009_survey", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "Laramee-2004-thesis", "li-2013-wli", "ludwig-2012-MT", "luksch_2020", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-2011-GEAR", "matkovic_2009_flickr", "matkovic-2007-clv", "Matkovic-2008-Bergen", "Matkovic-2008-ComVis", "Matkovic-2008-med", "Matkovic-2008-Steer", "matkovic-2010-eventlineview", "Matkovic-2014-ieee", "May_Michael_2015_DIS", "MEINDL-2015-OSR", "Miklin-2009-Mig", "Muehlbacher_diss_2018", "musialski-2009-sbfr", "musialski-2010-imv", "musialski-2010-pfi", "musialski-2010-tof", "north-2025-aog", "ortner-2016-tunnel", "ortner-2016-visaware", "OTEPKA-2020-PPC", "PB-VRVis-2018-005", "Pfahler-2016-MT", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw-2010-ADS", "Purg2015-b", "Purg2015-c", "Purg2015-China", "Purg2015-d", "purgathofer_2016I1", "Purgathofer-2013-cvws", "Purgathofer-2014-ETH", "Purgathofer-2014-LSM", "Purgathofer-2014-PanEu", "Purgathofer-2014-Rio", "Purgathofer-2015-WA", "Purgathofer-2017-China1", "Purgathofer-2017-China2", "Purgathofer-2017-VC-Interface", "Purgathofer-2018-EG", "Rainer_2017", "reh-2015-areh", "Reichinger_2016", "Reichinger_Fuhrmann_2016", "Reichinger-2011-Tac", "Reichinger-2016-spaghetti", "Reichinger-2018-TAC", "reisner-2010-1dh", "reisner-2010-ind", "reisner-2011-akgeo", "reisner-2011-comdm", "reisner-2012-iwssip", "SCHOBER-2006-IVSA", "schuetz-2019-CLOD", "schwaerzler_2018_phd", "SCHWAERZLER-2017-SBGM", "Shi_2007_PathLines", "Singh-2008-Metric", "sorger-2013-neuromap", "sorger-2015-litevis", "sorger-2015-taxintec", "sorger-2017-thesis", "Spechtenhauser_Florian_2016", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "Szabo-2018-DA", "TRA08", "TRA08b", "traxler-2009-dhm", "Trobec-2008-Heart", "Walch-2017-DA", "Wimmer_Maria_2015_SAS", "Zusag-2017-Bach" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=External", "__class": "Workgroup" } }, { "id": "ADAPT", "workgroup_id": "vis", "drupal_id": 4263, "drupal_path": "/research/projects/ADAPT", "name": "ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)", "name_de": null, "short_title": "ADAPT", "website": null, "status": "active", "short_abstract": "A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.
\r\n", "abstract": "A considerable improvement in the area of volume visualisation and data aquisition was achieved during the last years. This project will take advantage of the high computational power of todays PC Workstations and highly sophisticated algorithms in order to improve diagnosis.
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Due to excessive pre-computation and memory demanding data structures, most current approaches for volume visualization do not meet the requirements of daily clinical routine. In this diploma thesis, an approach for interactive high-quality rendering of large medical data is presented. It is based on image-order raycasting with object-order data traversal, using an optimized cache coherent memory layout. New techniques and parallelization strategies for direct volume rendering of large data on commodity hardware are presented. 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Very transparent transfer functions produce cluttered images with many overlapping structures, while clipping techniques completely remove possibly important context information. In this paper we present a new model for volume rendering, inspired by techniques from illustration that provides a means of interactively inspecting the interior of a volumetric data set in a feature-driven way which retains context information. The context-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to the eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It is controlled by two user-specified parameters. This new method represents an alternative to conventional clipping techniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context information. 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However, the use of Dynamic Contrast Enhanced\r\nMRI (DCE-MRI) has gained wider attention, since it considerably improves tumor detection and classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, a CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. Our application uses Brushing and Linking, Two-level Volume Rendering, Importance-driven Volume Rendering, and False Color Maps. In addition, we present Enhancement\r\nScatterplots, a novel graphical representation of DCE-MRI data, novel segmentation approaches, and a new way to explore time-varying CE-MRI\r\ndata.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 298, "image_height": 253, "name": "coto-2005-MAC-image.jpg", "type": "image/jpeg", "size": 34554, "path": "Publication:coto-2005-MAC", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 486, 160, 161, 166, 162, 487 ], "booktitle": "Proceedings of Vision, Modelling, and Visualization 2005", "date_from": "2005-11-16", "date_to": "2005-11-18", "editor": "G. 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The basic idea is to minimize a three-component\r\nglobal error function penalizing the density and gradient errors\r\nand the curvature of the unknown filtered function.\r\nThe optimization problem leads to a\r\nlarge linear equation system defined by a sparse coefficient matrix.\r\nWe will show that such an equation system can be efficiently solved\r\nin frequency domain using fast Fourier transformation (FFT).\r\nFor the sake of clarity, first we illustrate our method on a\r\n2D example which is a dedithering problem.\r\nAfterwards the 3D extension is\r\ndiscussed in detail since we propose our method mainly for\r\nvolume filtering. We will show that the 3D version can be\r\nefficiently used for elimination of the typical staircase artifacts\r\nof direct volume rendering without losing fine details.\r\nUnlike local filtering techniques, our novel approach ensures a\r\nglobal smoothing effect. Previous global 3D methods are restricted to\r\nbinary volumes or segmented iso-surfaces and they are based on\r\narea minimization of one single reconstructed surface.\r\nIn contrast, our method is a general volume-filtering technique,\r\nimplicitly smoothing all the iso-surfaces at the same time.\r\nAlthough the strength of the presented algorithm is demonstrated\r\non a specific 2D and a specific 3D application, it is considered\r\nas a general mathematical tool for\r\n processing images and volumes.", "authors_et_al": false, "substitute": "Neumann-2002-Fea", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 198, "name": "Csebfalvi-2002-FPVF-image.jpg", "type": "image/jpeg", "size": 11719, "path": "Publication:Csebfalvi-2002-FPVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 177, 233, 171, 179, 166 ], "number": "TR-186-2-02-09", "pages_from": "1", "pages_to": "11", "research_areas": [], "keywords": [ "derivative and gradient estimation", "direct volume rendering", "antialiasing", "noise filtering", "feature-preserving smoothing" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 198, "name": "Csebfalvi-2002-FPVF-image.jpg", "type": "image/jpeg", "size": 11719, "path": "Publication:Csebfalvi-2002-FPVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Csebfalvi-2002-FPVF-paper.gz", "type": "application/octet-stream", "size": 4311924, "path": "Publication:Csebfalvi-2002-FPVF", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-paper.gz", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/", "__class": "Publication" }, { "id": "Csebfalvi-2002-SBICG", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Smooth Shape-Based Interpolation using the Conjugate Gradient Method", "date": "2002-08", "abstract": "In this paper a novel technique for smooth shape-based interpolation of volume data\r\nis introduced.\r\nPreviously simple linear interpolation of signed\r\ndistance maps has been used in practice. As it will be shown, this approach\r\nresults in artifacts, since sharp edges appear along the original slices.\r\nIn order to obtain a smooth 3D implicit function generated\r\nby interpolating 2D distance maps, we use a global interpolation method instead of a\r\nhigher order local technique. The global curvature of the implicit function representing\r\nan isosurface is minimized using an iterative conjugate gradient method.\r\nBecause of the iterative approach the user can easily control the trade-off between\r\nthe smoothness of the isosurface and the computational cost of the refinement.\r\nAs opposed to previous techniques, like variational interpolation, our method can\r\ngenerate a reasonably good approximation of the ideal solution in a significantly\r\n shorter time.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 233, 177, 162, 166 ], "number": "TR-186-2-02-10", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "shape-based interpolation", "conjugate gradient method", "volume rendering" ], "weblinks": [], "files": [ { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": 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"preview_size": 14551, "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Visualization.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Visualization:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Visualization:video.mp4" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/", "__class": "Publication" }, { "id": "grimm-2004-arefined", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Refined Data Addressing and Processing Scheme to Accelerate Volume Raycasting", "date": "2004-10", "abstract": "Most volume rendering systems based on CPU volume raycasting still suffer from inefficient CPU utilization and high memory usage. To target these issues we present a new technique for efficient data addressing. Furthermore, we introduce a new processing scheme for volume raycasting which exploits thread-level parallelism—a technology now supported by commodity computer architectures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 274, "name": "grimm-2004-arefined-image.jpg", "type": "image/jpeg", "size": 24183, "path": "Publication:grimm-2004-arefined", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 161, 162, 166 ], "booktitle": "Computer & Graphics, Vol. 28 (5)", "isbn": "0097-8493", "issn": "0097-8493", "journal": "Computers & Graphics", "number": "5", "pages_from": "719", "pages_to": "729", "volume": "28", "research_areas": [], "keywords": [ "Volume Raycasting, Bricking, Parallel Co" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 274, "name": "grimm-2004-arefined-image.jpg", "type": "image/jpeg", "size": 24183, "path": "Publication:grimm-2004-arefined", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grimm-2004-arefined-Paper.pdf", "type": "application/pdf", "size": 292031, "path": "Publication:grimm-2004-arefined", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/", "__class": "Publication" }, { "id": "GRIMM-2004-FDMX-P", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Flexible Direct Multi-Volume Rendering in Interactive Scenes", "date": "2004-10", "abstract": "In this paper we describe methods to efficiently visualize multiple ntersecting volumetric objects. We introduce the concept of V-Objects. V-Objects represent abstract properties of an object connected to a volumetric data source. We present a method to perform direct volume rendering of a scene comprised of an arbitrary number of possibly intersecting V-Objects. The idea of our approach is to distinguish between regions of intersection, which need costly multi-volume processing, and regions containing only one V-Object, which can be processed using a highly efficient brick-wise volume traversal scheme. Using this method, we achieve significant performance gains for multi-volume rendering. We show possible medical applications, such as surgical planning, diagnosis, and education.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "GRIMM-2004-FDMX-P-image.jpg", "type": "image/jpeg", "size": 30770, "path": "Publication:GRIMM-2004-FDMX-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 161, 162, 166 ], "booktitle": "Vision, Modeling, and Visualization (VMV)", "location": "Stanford, USA", "pages_from": "386", "pages_to": "379", "research_areas": [], "keywords": [ "multi volume rendering", "medical visualization", "volume raycasting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "GRIMM-2004-FDMX-P-image.jpg", "type": "image/jpeg", "size": 30770, "path": "Publication:GRIMM-2004-FDMX-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRIMM-2004-FDMX-P-Paper.pdf", "type": "application/pdf", "size": 1785611, "path": "Publication:GRIMM-2004-FDMX-P", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/", "__class": "Publication" }, { "id": "grimm-2004-memory", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Memory Efficient Acceleration Structures and Techniques for CPU-based Volume Raycasting of Large Data", "date": "2004-10", "abstract": "Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as computed tomographic (CT) angiography run-offs (512x512x1202) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require just a small extra storage of approximately 10%. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "grimm-2004-memory-image.jpg", "type": "image/jpeg", "size": 54582, "path": "Publication:grimm-2004-memory", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 161, 162, 166 ], "booktitle": "Proceedings IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics", "editor": "D. Silver, T. Ertl, C. Silva", "isbn": "0-7803-8781-3", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "Three-Dimensional Graphics and Realism," ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "grimm-2004-memory-image.jpg", "type": "image/jpeg", "size": 54582, "path": "Publication:grimm-2004-memory", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grimm-2004-memory-Paper.pdf", "type": "application/pdf", "size": 582605, "path": "Publication:grimm-2004-memory", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/", "__class": "Publication" }, { "id": "GRIMM-2004-PPC", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Parallel Peeling of Curvilinear Grids", "date": "2004-04", "abstract": "In this paper we present a novel hybrid CPU-GPU approach for rendering\r\ncurvilinear grids. Visibility sorting is accomplished by parallel\r\npeeling cells off the grid, utilizing an active cell peeling front. In\r\neach step, we compute the ray-cell intersection coordinates on the\r\nGPU, perform accurate volume integration (CPU), and determine\r\nthe set of active cells for the next iteration (GPU). The approach\r\nrequires only standard graphics capabilities and can therefore be\r\nused on any commodity PC, including laptops. Furthermore, the\r\nmain memory requirements are negligible since the required data\r\nstructures are minimal.\r\nThe main advantage of our algorithm is that we exploit hardware\r\nacceleration for the expensive visibility sorting which is bene-\r\nficial over time due to the faster performance increase of GPUs over\r\nCPUs. Due to the simplicity of the algorithm and its low requirements\r\non preprocessing and main memory, it is well suited for thin\r\nclients. Last but not least, the approach could easily be extended to\r\nirregular grids using tetrahedra.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "GRIMM-2004-PPC-image.jpg", "type": "image/jpeg", "size": 14796, "path": "Publication:GRIMM-2004-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 345, 162, 166 ], "number": "TR-186-2-04-07", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "Raycasting", "Volume Rendering", "Visibility Sorting", "Curvilinear grids", "Depth Sorting" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "GRIMM-2004-PPC-image.jpg", "type": "image/jpeg", "size": 14796, "path": "Publication:GRIMM-2004-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GRIMM-2004-PPC-Paper.pdf", "type": "application/pdf", "size": 3432004, "path": "Publication:GRIMM-2004-PPC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/", "__class": "Publication" }, { "id": "grimm-2004-volume", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data", "date": "2004-09", "abstract": "We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots\r\nare a point-based representation of volumetric data. An individual Vot is specified by the coefficients of a Taylor\r\nseries expansion, i.e. the function value and higher order derivatives at a specific point. A Vot does not only\r\nrepresent a single sample point, it represents the underlying function within a region. With the Vots representation\r\nwe have a more intuitive and high-level description of the volume data. This allows direct analytical examination\r\nand manipulation of volumetric datasets. Vots enable the representation of the underlying scalar function with\r\nspecified precision. User-centric importance sampling is also possible, i.e., unimportant volume parts are still\r\npresent but represented with just very few Vots. As proof of concept, we show Maximum Intensity Projection based\r\non Vots.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "grimm-2004-volume-image.jpg", "type": "image/jpeg", "size": 23114, "path": "Publication:grimm-2004-volume", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 160, 161, 162, 166 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "3", "pages_from": "668", "pages_to": "661", "volume": "23", "research_areas": [], "keywords": [ "Graphics Data Structures and Data Types" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 512, "name": "grimm-2004-volume-image.jpg", "type": "image/jpeg", "size": 23114, "path": "Publication:grimm-2004-volume", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "grimm-2004-volume-Paper.pdf", "type": "application/pdf", "size": 2257047, "path": "Publication:grimm-2004-volume", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/", "__class": "Publication" }, { "id": "groeller-2005-dia", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Diagnostic Relevant Visualization of Vascular Structures ", "date": "2005", "abstract": "Traditional volume visualization techniques sometimes provide incomplete clinical\r\ninformation needed for applications in medical visualization. In the area of vascular visualization\r\nimportant features such as the lumen of a diseased vessel segment may not be\r\nvisible. One way to display vascular structures for diagnostic purposes is to generate longitudinal\r\ncross-sections in order to show their lumen, wall, and surrounding tissue in a curved\r\nplane. Curved planar reformation (CPR) has proven to be an acceptable practical solution.\r\nWe discuss four different methods to generate CPR images from single vessel segments: Projected\r\nCPR, stretched CPR, straightened CPR, and helical CPR. Furthermore we investigate\r\nthree different methods for displaying vascular trees: Multi-path projected CPR, multi-path\r\nstretched CPR, and untangled CPR. The principle concept of each method is discussed and\r\ndetailed information for the realization is given. In addition the properties, advantages and\r\ndisadvantages of each method are summarized.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 490, "name": "groeller-2005-dia-image.jpg", "type": "image/jpeg", "size": 654235, "path": "Publication:groeller-2005-dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 164, 165, 166 ], "booktitle": "Scientific Visualization: The Visual Extraction of Knowledge from Data", "editor": "G.-P. Bonneau, T. Ertl, G.M. Nielson", "isbn": "3540260668", "pages_from": "207", "pages_to": "228", "publisher": "Springer Verlag, Berlin", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 511, "image_height": 490, "name": "groeller-2005-dia-image.jpg", "type": "image/jpeg", "size": 654235, "path": "Publication:groeller-2005-dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image:thumb{{size}}.png" }, { "description": "", "filetitle": "PDF", "main_file": true, "use_in_gallery": false, "access": "public", "name": "groeller-2005-dia-PDF.pdf", "type": "application/pdf", "size": 3000619, "path": "Publication:groeller-2005-dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-PDF.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-PDF:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/", "__class": "Publication" }, { "id": "Hladuvka-2002-Exp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Exploiting the Hessian matrix for content-based retrieval of volume-data features", "date": "2002", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 187, 166 ], "journal": "Visual Computer", "number": "4", "pages_from": "207", "pages_to": "217", "volume": "18", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hladuvka-2002-Exp/", "__class": "Publication" }, { "id": "Kanitsar-2002-CPR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "CPR- Curved Planar Reformation", "date": "2002", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 164, 165, 189, 166 ], "booktitle": "IEEE Visualization 2002", "lecturer": [ 162 ], "publisher": "IEEE Computer Society Press", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Kanitsar-2002-CPR/", "__class": "Publication" }, { "id": "Kanitsar-2003-Adva", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Advanced Curved Planar Reformation: Flattering of Vascular Structures", "date": "2003", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 165, 164, 166 ], "booktitle": "Proceedings of IEEE Visualization", "editor": "G. Turk, J. van Wijk, K. Moorhead", "isbn": "0780381203", "lecturer": [ 162 ], "publisher": "IEEE", "research_areas": [], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Adva/", "__class": "Publication" }, { "id": "Kanitsar-2003-Dem", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Demonstration of different segmentation and visualization techniques by means of a complex real world object exemplified by a Christmas tree", "date": "2003", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 164, 175, 184, 170, 166 ], "booktitle": "European Congress of Radiology", "lecturer": [ 162 ], "publisher": "ECR", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "PDF", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kanitsar-2003-Dem-PDF.pdf", "type": "application/pdf", "size": 10369, "path": "Publication:Kanitsar-2003-Dem", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/Kanitsar-2003-Dem-PDF.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/Kanitsar-2003-Dem-PDF:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/", "__class": "Publication" }, { "id": "Kanitsar-2004-Dia", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Diagnostic Relevant Visualization of Vascular Structures", "date": "2004-01", "abstract": "Traditional volume visualization techniques sometimes provide incomplete\r\nclinical information needed for applications in medical visualization.\r\nIn the area of vascular visualization important features such as the lumen of a\r\ndiseased vessel segment may not be visible. One way to display vascular structures\r\nfor diagnostic purposes is to generate longitudinal cross-sections in order to\r\nshow their lumen, wall, and surrounding tissue in a curved plane. Curved planar\r\nreformation (CPR) has proven to be an acceptable practical solution. We discuss\r\nfour different methods to generate CPR images from single vessel segments: Projected\r\nCPR, stretched CPR, straightened CPR, and helical CPR. Furthermore we\r\ninvestigate three different methods for displaying vascular trees: Multi-path projected\r\nCPR, multi-path stretched CPR, and untangled CPR. The principle concept\r\nof each method is discussed and detailed information for the realization is given.\r\n In addition the properties, advantages and disadvantages of each method are summarized.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 470, "name": "Kanitsar-2004-Dia-image.jpg", "type": "image/jpeg", "size": 39068, "path": "Publication:Kanitsar-2004-Dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162, 164, 165, 166 ], "number": "TR-186-2-04-02", "pages_from": "1", "pages_to": "20", "research_areas": [], "keywords": [ "curved planar reformation", "computed tomography angiography", "vessel analysis" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 470, "name": "Kanitsar-2004-Dia-image.jpg", "type": "image/jpeg", "size": 39068, "path": "Publication:Kanitsar-2004-Dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kanitsar-2004-Dia-paper.pdf", "type": "application/pdf", "size": 2996860, "path": "Publication:Kanitsar-2004-Dia", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/", "__class": "Publication" }, { "id": "Kanitsar-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Curved Planar Reformation for Vessel Visualization", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 424, "image_height": 330, "name": "Kanitsar-thesis-image.jpg", "type": "image/jpeg", "size": 49132, "path": "Publication:Kanitsar-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162 ], "date_end": "2004-01", "date_start": "2001-03", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 424, "image_height": 330, "name": "Kanitsar-thesis-image.jpg", "type": "image/jpeg", "size": 49132, "path": "Publication:Kanitsar-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image:thumb{{size}}.png" }, { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Kanitsar-thesis-pdf.pdf", "type": "application/pdf", "size": 14168623, "path": "Publication:Kanitsar-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/", "__class": "Publication" }, { "id": "knapp_michael_2004_MAS", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Memory Allocation Strategies for Large Volumetric Data-Sets", "date": "2004-12", "abstract": "Since the development of medical three dimensional imaging devices\r\nin the 1970s, volumetric data processing has tremendously gained in\r\nimportance. With the growing size of the data-sets, exhausting the\r\ncapabilities of the hardware of its time, methods for efficient\r\nvolumetric data processing have been always a hot topic. In this\r\ndiploma thesis two approaches for processing large volumetric\r\ndata-sets are presented. Both approaches utilize a block volume for\r\nstoring the data. Further data compression and out-of-core\r\nprocessing are incorporated. Efficiency is achieved by processing\r\nonly the required portion of data while omitting the non-related\r\ndata having no effect on the intended result of the algorithm. This\r\nis supported by utilization of the knowledge about access patterns\r\nof the algorithm. Also methods for optimizing the efficiency by\r\nexploiting architectural properties of the computer hardware are\r\npresented.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1815, "image_height": 1368, "name": "knapp_michael_2004_MAS-image.jpg", "type": "image/jpeg", "size": 264037, "path": "Publication:knapp_michael_2004_MAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 172 ], "supervisor": [ 160 ], "research_areas": [], "keywords": [ "volume processing", "large data" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1815, "image_height": 1368, "name": "knapp_michael_2004_MAS-image.jpg", "type": "image/jpeg", "size": 264037, "path": "Publication:knapp_michael_2004_MAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "knapp_michael_2004_MAS-Thesis.pdf", "type": "application/pdf", "size": 8551553, "path": "Publication:knapp_michael_2004_MAS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/", "__class": "Publication" }, { "id": "knapp-2004-semi", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire", "date": "2004-02", "abstract": "In general three-dimensional segmentation algorithms assume objects to have connected homogeneous regions.\r\nHowever in some cases objects are defined by a fuzzy boundary surface and consist of an inhomogeneous\r\ninternal structure. In the following a new three-dimensional segmentation technique exploiting the contour\r\ndetection capabilities of live-wire is proposed. The algorithm consists of two basic steps. First contours are\r\noutlined by the user on a small number of planar cross-sections through the object using live-wire. Second the\r\ntraced contours are used for reconstructing the object surface automatically in each slice using live-wire again.\r\nThis user-friendly segmentation algorithm is independent from object topology as the topology is implicitly\r\ndefined during the reconstruction process.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knapp-2004-semi-.pdf", "type": "application/pdf", "size": 6051784, "path": "Publication:knapp-2004-semi", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 172, 162, 166 ], "booktitle": "Journal of WSCG, Vol. 12, Number 2", "isbn": "1213-6972", "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ 172 ], "number": "2", "pages_from": "229", "pages_to": "236", "volume": "12", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "knapp-2004-semi-.pdf", "type": "application/pdf", "size": 6051784, "path": "Publication:knapp-2004-semi", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/", "__class": "Publication" }, { "id": "Neumann-2002-Fea", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Feature-Preserving Volume Filtering", "date": "2002-05", "abstract": "In this paper a feature-preserving volume filtering method is presented. The basic idea is to minimize a three-component global error function penalizing the density and gradient errors and the curvature of the unknown filtered function. The optimization problem leads to a large linear equation system defined by a sparse coefficient matrix. We will show that such an equation system can be efficiently solved in frequency domain using fast Fourier transformation (FFT). For the sake of clarity, first we illustrate our method on a 2D example which is a dedithering problem. Afterwards the 3D extension is discussed in detail since we propose our method mainly for volume filtering. We will show that the 3D version can be efficiently used for elimination of the typical staircase artifacts of direct volume rendering without losing fine details. Unlike local filtering techniques, our novel approach ensures a global smoothing effect. Previous global 3D methods are restricted to binary volumes or segmented iso-surfaces and they are based on area minimization of one single reconstructed surface. In contrast, our method is a general volume-filtering technique, implicitly smoothing all the iso-surfaces at the same time. Although the strength of the presented algorithm is demonstrated on a specific 2D and a specific 3D application, it is considered as a general mathematical tool for processing images and volumes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 718, "image_height": 717, "name": "Neumann-2002-Fea-image.jpg", "type": "image/jpeg", "size": 96628, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 177, 233, 171, 179, 166 ], "booktitle": "Data Visualization 2002", "pages_from": "105", "pages_to": "114", "publisher": "ACM", "research_areas": [], "keywords": [ "antialiasing, noise filtering", "derivative and gradient estimation", "feature-preserving smoothing", "direct volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 718, "image_height": 717, "name": "Neumann-2002-Fea-image.jpg", "type": "image/jpeg", "size": 96628, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neumann-2002-Fea-Paper.pdf", "type": "application/pdf", "size": 835899, "path": "Publication:Neumann-2002-Fea", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/", "__class": "Publication" }, { "id": "phd-viola", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Expressive Visualization", "date": "2005-06", "abstract": "In this thesis several expressive visualization techniques for volumetric\r\ndata are presented. The key idea is to classify the underlying data according\r\nto its prominence on the resulting visualization by importance value.\r\nThe importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\r\n\r\nFeatures within the volumetric data are classified according to a new dimension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of\r\nsparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step\r\nto traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\r\n\r\nThe applicability of importance-driven visualization is demonstrated on several examples from medical diagnostics scenarios, flow visualization,\r\nand interactive illustrative visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1795, "image_height": 1512, "name": "phd-viola-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_end": "2005-06", "date_start": "2002-05", "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "Defense Presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "phd-viola-Defense Presentation.pdf", "type": "application/pdf", "size": 1259949, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation:thumb{{size}}.png" }, { "description": "", "filetitle": "Dissertation (print version)", "main_file": false, "use_in_gallery": false, "access": "public", "name": "phd-viola-Dissertation (print version).pdf", "type": "application/pdf", "size": 61930541, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version):thumb{{size}}.png" }, { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1795, "image_height": 1512, "name": "phd-viola-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png" }, { "description": "", "filetitle": "pdf (screen version)", "main_file": true, "use_in_gallery": false, "access": "public", "name": "phd-viola-pdf (screen version).pdf", "type": "application/pdf", "size": 9650433, "path": "Publication:phd-viola", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version).pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version):thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/", "__class": "Publication" }, { "id": "TR-186-2-05-01", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Illustrative Context-Preserving Volume Rendering", "date": "2005-01", "abstract": "In volume rendering it is very difficult to simultaneously visualize interior and exterior structures while preserving\r\nclear shape cues. Very transparent transfer functions produce cluttered images with many overlapping structures,\r\nwhile clipping techniques completely remove possibly important context information. In this paper we present a\r\nnew model for volume rendering, inspired by techniques from illustration that provides a means of interactively\r\ninspecting the interior of a volumetric data set in a feature-driven way which retains context information. The\r\ncontext-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to\r\nthe eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It\r\nis controlled by two user-specified parameters. This new method represents an alternative to conventional clipping\r\ntechniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context\r\ninformation.", "authors_et_al": false, "substitute": "bruckner-2005-ICV", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 300, "name": "TR-186-2-05-01-image.jpg", "type": "image/jpeg", "size": 17280, "path": "Publication:TR-186-2-05-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 161, 160, 162, 166 ], "number": "TR-186-2-05-01", "research_areas": [], "keywords": [ "focus+context techniques", "non-photorealistic techniques", "volume rendering" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 300, "name": "TR-186-2-05-01-image.jpg", "type": "image/jpeg", "size": 17280, "path": "Publication:TR-186-2-05-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Technical Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-05-01-Technical Report.pdf", "type": "application/pdf", "size": 8927084, "path": "Publication:TR-186-2-05-01", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/", "__class": "Publication" }, { "id": "TR-186-2-05-02", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "MammoExplorer: An Advanced CAD Application for Breast DCE-MRI", "date": "2005-04", "abstract": "Breast cancer is the second leading cause of cancer deaths in women today. Although X-ray mammography is regarded as the most widely used method for early detection of breast cancer, the use of Contrast Enhanced MRI (CE-MRI) has gained considerable attention in the past years. Especially, Dynamic CE-MRI (DCE-MRI) considerably improves tumor classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, an advanced CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. In addition, we present a novel graphical representation of DCE-MRI data, new segmentation approaches, and a new way to explore temporal data.", "authors_et_al": false, "substitute": "coto-2005-MAC", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 298, "image_height": 253, "name": "TR-186-2-05-02-image.jpg", "type": "image/jpeg", "size": 34559, "path": "Publication:TR-186-2-05-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 486, 160, 161, 166, 162, 487 ], "number": "TR-186-2-05-02", "research_areas": [], "keywords": [ "Contrast Enhanced MRI", "CAD", "Breast cancer" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 298, "image_height": 253, "name": "TR-186-2-05-02-image.jpg", "type": "image/jpeg", "size": 34559, "path": "Publication:TR-186-2-05-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Technical Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-05-02-Technical Report.pdf", "type": "application/pdf", "size": 1883623, "path": "Publication:TR-186-2-05-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/", "__class": "Publication" }, { "id": "TR-186-2-05-03", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "D²VR: High Quality Volume Rendering of Projection-based Volumetric Data", "date": "2005-04", "abstract": "Volume-rendering techniques are conventionally classified into two categories represented by direct and indirect methods. Indirect methods require to transform the initial volumetric model into an intermediate geometrical model in order to efficiently visualize it. In contrast, direct volume-rendering (DVR) methods can directly process the volumetric data. Modern 3D scanning technologies, like CT or MRI, usually provide data as a set of samples on rectilinear grid points, which are computed from the measured projections by discrete tomographic reconstruction. Therefore the set of these reconstructed samples can already be considered as an intermediate volume representation. In this paper we introduce a new paradigm for direct direct volume rendering (D²VR), which does not require a rectilinear grid at all, since it is based on an immediate processing of the measured projections. Arbitrary samples for ray casting are reconstructed from the projections by using the Filtered Back-Projection algorithm. Our method removes an unnecessary and lossy resampling step from the classical volume rendering pipeline. Thus, it provides much higher accuracy than traditional grid-based resampling techniques do. Furthermore we also present a novel high-quality gradient estimation scheme, which is also based on the Filtered Back-Projection algorithm. Finally we introduce a hierarchical space partitioning approach for projection-based volumetric data, which is used to accelerate D²VR.", "authors_et_al": false, "substitute": "RAUTEK06", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 674, "image_height": 675, "name": "TR-186-2-05-03-image.jpg", "type": "image/jpeg", "size": 118616, "path": "Publication:TR-186-2-05-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 233, 488, 160, 161, 166 ], "number": "TR-186-2-05-03", "research_areas": [], "keywords": [ "Volume Rendering", "Filtered Back-Projection", "Reconstruction" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 674, "image_height": 675, "name": "TR-186-2-05-03-image.jpg", "type": "image/jpeg", "size": 118616, "path": "Publication:TR-186-2-05-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image:thumb{{size}}.png" }, { "description": "", "filetitle": "Technical Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-05-03-Technical Report.pdf", "type": "application/pdf", "size": 3945001, "path": "Publication:TR-186-2-05-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-Technical Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-Technical Report:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/", "__class": "Publication" }, { "id": "vessel2003", "type_id": "tv", "tu_id": null, "repositum_id": null, "title": "Vessel", "date": "2003-01-24", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 144, "name": "vessel2003-image.jpg", "type": "image/jpeg", "size": 5146, "path": "Publication:vessel2003", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 162 ], "channel": "ORF2", "duration": "2:39", "program": "Modern Times", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "High quality 45.8 MB (DivX Codec)", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 48, "preview_image_height": 48, "name": "vessel2003-High quality 45.8 MB (DivX Codec).avi", "type": "video/x-msvideo", "size": 48033122, "path": "Publication:vessel2003", "preview_name": "vessel2003-High quality 45.8 MB (DivX Codec):preview.png", "preview_type": "image/png", "preview_size": 4476, "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-High quality 45.8 MB (DivX Codec).avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-High quality 45.8 MB (DivX Codec):thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-High quality 45.8 MB (DivX Codec):video.mp4" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 192, "image_height": 144, "name": "vessel2003-image.jpg", "type": "image/jpeg", "size": 5146, "path": "Publication:vessel2003", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Low quality 3.0 MB (DivX Codec)", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 48, "preview_image_height": 48, "name": "vessel2003-Low quality 3.0 MB (DivX Codec).avi", "type": "video/x-msvideo", "size": 3173044, "path": "Publication:vessel2003", "preview_name": "vessel2003-Low quality 3.0 MB (DivX Codec):preview.png", "preview_type": "image/png", "preview_size": 4476, "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-Low quality 3.0 MB (DivX Codec).avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-Low quality 3.0 MB (DivX Codec):thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-Low quality 3.0 MB (DivX Codec):video.mp4" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/", "__class": "Publication" }, { "id": "Viola-2003-GPU", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "GPU-based Frequency Domain Volume Rendering", "date": "2003-11", "abstract": "Frequency domain volume rendering (FVR) is a volume rendering technique with lowest computational complexity as compared to other techniques. In this paper FVR algorithm is significantly accelerated by mapping the rendering stage to the GPU. The overall hardware-accelerated pipeline is discussed and the changes according to previous work are pointed-out. The three-dimensional transformation into frequency domain is done in a pre-processing step. The rendering step is computed completely on the GPU. First the projection slice is extracted. Four different interpolation schemes are used for resampling the slice from the data represented by a 3D texture. The extracted slice is transformed back into the spatial domain using the inverse Fast Fourier Transform. The rendering stage is implemented through shader programs running on programmable graphics hardware achieving highly interactive framerates.", "authors_et_al": false, "substitute": "Viola-2004-GPU", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2003-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2003-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "number": "TR-186-2-03-10", "pages_from": "1", "pages_to": "9", "research_areas": [], "keywords": [ "Fourier Volume Rendering", "Fourier Transform", "Hardware Acceleration" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2003-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2003-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2003-GPU-paper.pdf", "type": "application/pdf", "size": 1205579, "path": "Publication:Viola-2003-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/", "__class": "Publication" }, { "id": "Viola-2003-Har", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages.", "date": "2003-10", "abstract": "Non-linear filtering is an important task for volume analysis. This\r\npaper presents hardware-based implementations of various nonlinear\r\nfilters for volume smoothing with edge preservation. The\r\nCg high-level shading language is used in combination with latest\r\nPC consumer graphics hardware. Filtering is divided into pervertex\r\nand per-fragment stages. In both stages we propose techniques\r\nto increase the filtering performance. The vertex program\r\npre-computes texture coordinates in order to address all contributing\r\ninput samples of the operator mask. Thus additional computations\r\nare avoided in the fragment program. The presented fragment\r\nprograms preserve cache coherence, exploit 4D vector arithmetic,\r\nand internal fixed point arithmetic to increase performance. We\r\nshow the applicability of non-linear filters as part of a GPU-based\r\nsegmentation pipeline. The resulting binary mask is compressed\r\nand decompressed in the graphics memory on-the-fly.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-Har-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of IEEE Visualization 2003", "editor": "G. Turk, J. van Wijk, K. Moorhead", "isbn": "0780381203", "pages_from": "309", "pages_to": "316", "publisher": "IEEE", "research_areas": [], "keywords": [ "Hardware Acceleration", "Segmentation", "Non-linear Filtering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-Har-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2003-Har-Paper.pdf", "type": "application/pdf", "size": 325326, "path": "Publication:Viola-2003-Har", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/", "__class": "Publication" }, { "id": "Viola-2003-NON", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages", "date": "2003-05", "abstract": "Non-linear filtering is an important task for volume analysis. This paper presents hardware-based implementations of various non-linear filters for edge-preserving volume smoothing. Cg high-level shading language is used in combination with latest PC consumer graphics hardware. Filtering is divided into per-vertex and per-fragment stages. In both stages we propose techniques to increase the filtering performance. The vertex program pre-computes texture coordinates in order to address all contributing input samples of the operator mask. Thus additional computations are avoided in the fragment program. The presented fragment programs preserve cache coherence, exploit 4D vector arithmetic, and internal fixed point arithmetic to increase performance. We show the applicability of non-linear filters as part of a GPU-based segmentation pipeline. The resulting binary mask is compressed and decompressed in the graphics memory on-the-fly.", "authors_et_al": false, "substitute": "Viola-2003-Har", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-NON-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-NON", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "number": "TR-186-2-03-07", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "Hardware Acceleration", "Non-Linear Filtering", "Segmentation" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 188, "name": "Viola-2003-NON-image.jpg", "type": "image/jpeg", "size": 8841, "path": "Publication:Viola-2003-NON", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2003-NON-paper.pdf", "type": "application/pdf", "size": 389959, "path": "Publication:Viola-2003-NON", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/", "__class": "Publication" }, { "id": "Viola-2004-GPU", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "GPU-based Frequency Domain Volume Rendering", "date": "2004-04", "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other techniques. In this paper\r\nthe FVR algorithm is accelerated by factor of 17\r\nby mapping the rendering stage to the GPU. The overall\r\nhardware-accelerated pipeline is discussed and the\r\nchanges according to previous work are pointed out. The\r\nthree-dimensional transformation into frequency domain\r\nis done in a pre-processing step. The rendering step is\r\ncomputed completely on the GPU. First the projection\r\nslice is extracted. Four different interpolation schemes\r\nare used for resampling the slice from the data represented\r\nby a 3D texture. The extracted slice is transformed\r\nback into the spatial domain using the inverse\r\nFast Fourier or Fast Hartley Transform. The rendering\r\nstage is implemented through shader programs running\r\non programmable graphics hardware achieving highly interactive\r\nframerates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2004-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of SCCG 2004", "isbn": "80-223-1730-6", "note": "second-best paper award!", "pages_from": "49", "pages_to": "58", "research_areas": [], "keywords": [ "Fourier Transform", "Fourier Volume Rendering", "Hardware Acceleration" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 200, "name": "Viola-2004-GPU-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-GPU-Paper.pdf", "type": "application/pdf", "size": 1225586, "path": "Publication:Viola-2004-GPU", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/", "__class": "Publication" }, { "id": "viola-2004-har", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Hardware-Accelerated Frequency Domain Volume Rendering", "date": "2004-09", "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other volume rendering techniques.\r\nIn this paper the original FVR algorithm is significantly\r\naccelerated by performing the rendering stage computations\r\non the GPU. The overall hardware-accelerated\r\npipeline is discussed and the changes according to previous\r\nwork are pointed out. The three-dimensional\r\ntransformation into frequency domain is done in a preprocessing\r\nstep.\r\n\r\nIn the rendering step first the projection slice is extracted.\r\nThe pre-computed frequency response of the\r\nthree-dimensional data is stored as a 3D texture. Four\r\ndifferent interpolation schemes for resampling the slice\r\nout of a 3D texture are presented. The resampled slice is\r\nthen transformed back into the spatial domain using the\r\ninverse Fast Fourier or Fast Hartley Transform. The rendering\r\nstep is implemented as a set of shader programs\r\nand is executed on running on programmable graphics\r\nhardware achieving highly interactive framerates.", "authors_et_al": false, "substitute": "viola-2004-har2", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 200, "name": "viola-2004-har-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:viola-2004-har", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "number": "TR-186-2-04-10", "pages_from": "1", "pages_to": "10", "research_areas": [], "keywords": [ "Interpolation", "Hardware Acceleration", "Fourier Volume Rendering", "Fourier Transform", "Hartley Transform" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 200, "name": "viola-2004-har-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:viola-2004-har", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2004-har-paper.pdf", "type": "application/x-empty", "size": 0, "path": "Publication:viola-2004-har", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/", "__class": "Publication" }, { "id": "viola-2004-har2", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Hardware-Accelerated Frequency Domain Volume Rendering", "date": "2004-09", "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other volume rendering techniques.\r\nIn this paper the original FVR algorithm is significantly\r\naccelerated by performing the rendering stage computations\r\non the GPU. The overall hardware-accelerated\r\npipeline is discussed and the changes according to previous\r\nwork are pointed out. The three-dimensional\r\ntransformation into frequency domain is done in a preprocessing\r\nstep.\r\n\r\nIn the rendering step first the projection slice is extracted.\r\nThe pre-computed frequency response of the\r\nthree-dimensional data is stored as a 3D texture. Four\r\ndifferent interpolation schemes for resampling the slice\r\nout of a 3D texture are presented. The resampled slice is\r\nthen transformed back into the spatial domain using the\r\ninverse Fast Fourier or Fast Hartley Transform. The rendering\r\nstep is implemented as a set of shader programs\r\nand is executed on running on programmable graphics\r\nhardware achieving highly interactive framerates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 200, "name": "viola-2004-har2-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:viola-2004-har2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "issn": "1811-8992", "journal": "Computer Graphics & Geometry", "note": "Internet Journal: http://elibrary.ru/cgg", "number": "2", "pages_from": "60", "pages_to": "79", "volume": "6", "research_areas": [], "keywords": [ "Fourier Volume Rendering", "Hartley Transform", "Hardware Acceleration", "Interpolation", "Fourier Transform" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 200, "image_height": 200, "name": "viola-2004-har2-image.jpg", "type": "image/jpeg", "size": 10116, "path": "Publication:viola-2004-har2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2004-har2-Paper.pdf", "type": "application/pdf", "size": 1368145, "path": "Publication:viola-2004-har2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/", "__class": "Publication" }, { "id": "viola-2004-idv", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171 ], "date_from": "2004-10-13", "event": "IDVR", "location": "Austin, USA", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "data", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2004-idv-data.zip", "type": "application/x-zip", "size": 17304308, "path": "Publication:viola-2004-idv", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/viola-2004-idv-data.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/", "__class": "Publication" }, { "id": "viola-2004-imp", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Feature Enhancement in Volume Visualization", "date": "2004-09", "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. Our technique is a generalization of cut-away views, which -- depending on\r\nthe viewpoint or feature -- remove or suppress less important parts of a\r\nscene to reveal more important underlying information. We\r\nautomatize and apply this idea to volumetric data.\r\n\r\nEach part of the volumetric data is assigned an emph{object\r\nimportance} which encodes visibility priority. This property determines which\r\nstructures should be readily discernible and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in\r\nthose areas where no occlusion occurs. Thus the objects of\r\ninterest are clearly visible. For each object several\r\nrepresentations, i.e., emph{levels of sparseness}, are specified.\r\nThe display of an individual object may incorporate different\r\nlevels of sparseness. The goal is to emphasize important\r\nstructures and to maximize the information content in the final\r\nimage.\r\n\r\nThis paper also discusses several possible schemes for emph{level\r\nof sparseness} specification and different ways how emph{object\r\nimportance} can be composited to determine the final appearance of a\r\nparticular object.", "authors_et_al": false, "substitute": "viola-2005-imp", "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 215, "name": "viola-2004-imp-image.jpg", "type": "image/jpeg", "size": 9923, "path": "Publication:viola-2004-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "number": "TR-186-2-04-09", "pages_from": "1", "pages_to": "13", "research_areas": [], "keywords": [ "level-of-detail techniques", "focus+context techniques", "volume rendering", "view-dependent visualization", "non-photorealistic techniques" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 215, "name": "viola-2004-imp-image.jpg", "type": "image/jpeg", "size": 9923, "path": "Publication:viola-2004-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image:thumb{{size}}.png" }, { "description": "", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "viola-2004-imp-paper.pdf", "type": "application/pdf", "size": 7931796, "path": "Publication:viola-2004-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/", "__class": "Publication" }, { "id": "Viola-2004-ImpX", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004-04", "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. It is a generalization of cut-away views, which - depending on\r\nthe viewpoint - remove or suppress less important parts of a\r\nscene to reveal more important underlying information. We\r\nautomatize and apply this idea to volumetric data.\r\n\r\nEach part of the volumetric data is assigned an object\r\nimportance which encodes visibility priority. It determines which\r\nstructures should be readily discernable and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in\r\nthose areas where no occlusion occurs. Thus the objects of\r\ninterest are clearly visible. For each object several\r\nrepresentations, i.e., levels of sparseness, are specified.\r\nThe display of an individual object may incorporate different\r\nlevels of sparseness. The goal is to emphasize important\r\nstructures and to maximize the information content in the final\r\nimage.\r\n\r\nThis paper also discusses several possible schemes for evel\r\nof sparseness specification and different ways how object\r\nimportance can be composed to determine the final appearance of a\r\nparticular object.", "authors_et_al": false, "substitute": "Viola-2004-ImpX2", "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 270, "name": "Viola-2004-ImpX-image.jpg", "type": "image/jpeg", "size": 16817, "path": "Publication:Viola-2004-ImpX", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "number": "TR-186-2-04-03", "pages_from": "1", "pages_to": "7", "research_areas": [], "keywords": [ "volume rendering", "view-dependent visualization", "focus+context techniques", "level-of-detail techniques", "non-photorealistic techniques" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 200, "image_height": 270, "name": "Viola-2004-ImpX-image.jpg", "type": "image/jpeg", "size": 16817, "path": "Publication:Viola-2004-ImpX", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-ImpX-paper.pdf", "type": "application/pdf", "size": 1611914, "path": "Publication:Viola-2004-ImpX", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/", "__class": "Publication" }, { "id": "Viola-2004-ImpX2", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Volume Rendering", "date": "2004-10", "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. Our technique is a generalization of cut-away views,\r\nwhich – depending on the viewpoint – remove or suppress less important\r\nparts of a scene to reveal more important underlying information.\r\nWe automatize and apply this idea to volumetric data.\r\nEach part of the volumetric data is assigned an object importance\r\nwhich encodes visibility priority. This property determines which\r\nstructures should be readily discernible and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in those\r\nareas where no occlusion occurs. Thus the objects of interest are\r\nclearly visible. For each object several representations, i.e., levels of\r\nsparseness, are specified. The display of an individual object may\r\nincorporate different levels of sparseness. The goal is to emphasize\r\nimportant structures and to maximize the information content in the\r\nfinal image.\r\nThis paper also discusses several possible schemes for level of\r\nsparseness specification and different ways how object importance\r\ncan be composited to determine the final appearance of a particular\r\nobject.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 244, "name": "Viola-2004-ImpX2-image.jpg", "type": "image/jpeg", "size": 12593, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "booktitle": "Proceedings of IEEE Visualization 2004", "isbn": "0780387880", "pages_from": "139", "pages_to": "145", "publisher": "H. Rushmeier, G. Turk, J. van Wijk", "research_areas": [], "keywords": [ "view-dependent visualization", "non-photorealistic techniques", "level-of-detail techniques", "focus+context techniques", "volume rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 244, "name": "Viola-2004-ImpX2-image.jpg", "type": "image/jpeg", "size": 12593, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Viola-2004-ImpX2-Paper.pdf", "type": "application/pdf", "size": 10556380, "path": "Publication:Viola-2004-ImpX2", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "ADAPT" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/", "__class": "Publication" }, { "id": "viola-2005-imp", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Importance-Driven Feature Enhancement in Volume Visualization", "date": "2005", "abstract": "This paper presents importance-driven feature enhancement as a technique for the automatic generation of cut-away and ghosted views out of volumetric data. The presented focus+context approach removes or suppresses less important parts of a scene to reveal more important underlying information. however, less important parts are fully visible in those regions, where important visual information is not lost, i.e., more relevant features are not occluded.\r\nFeatures within the volumetric data are first classified according to a new dimension denoted as object importance.\r\nThis property determines which structures should be readily discernible and which structures are less important.\r\nNext, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance (importance compositing).\r\nThe paper includes an extended discussion on several possible schemes for levels of sparseness specification. Furthermore different approaches to importance compositing are treated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1795, "image_height": 1512, "name": "viola-2005-imp-image.jpg", "type": "image/jpeg", "size": 112390, "path": "Publication:viola-2005-imp", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 162, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "number": "4", "pages_from": "408", "pages_to": "418", "volume": "11", "research_areas": [], "keywords": [ "non-photorealistic techniques", 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"Kanitsar-thesis", "kapferer-2017-godot", "Karall2017CVAB", "Karall2018_2", "karimov-2013-vivisection", "karimov-2015-HD", "karimov-2016-GIVE", "karimov-2016-SD", "keglevic_schulz-2011-MB", "Kehrer-2008-hyp", "Kehrer-2010-mom", "kehrer-2011-vai", "kehrer-2012-mod", "kehrer-2013-IVA", "kehrer-2013-SBC", "Kehrer-2013-STAR", "Kehrer-2014-CSD", "kerbl-2024-ah3", "kimmersdorfer-fancyMaps-2023", "Kinkelin_2009", "Kinkelin-2011-VR", "Klaus2024", "Kleber-2004-TFE", "klein_2017_IM", "klein_2019_MSA_Poster", "klein_2019_PGG", "klein_2019_PHD", "klein_2019_PMP", "Klein_Tobias_2015TIV", "klein-thesis", "Knapp_2017_CVR", "knapp_michael_2004_MAS", "knapp-2004-semi", "koch_bernhard_2018-1", "koch-2018-sso", "koehle-2013-sgv", "koeppel-2021", "Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "EU U-CREATE", "workgroup_id": "rend", "drupal_id": 4265, "drupal_path": "/research/projects/EU-U-CREATE", "name": "EU U-CREATE, Creative Authoring tools for Edutainment Applications", "name_de": null, "short_title": "EU U-CREATE", "website": null, "status": "active", "short_abstract": "U-CREATE is initiated by Alterface, Imagination and ion2s, three SMEs which are primarily active in the field of edutainment, i.e. the joining of education and entertainment (customers are museums, cultural institutions, entertainment parks¿) They share a common and important problem: efficient content creation. Be it interactive setups, Mixed Reality experiences, location-based services, all these technologies are worthless without content: content is always to be tackled or delivered at the same time as technology. However, content creation is a long process that can turn to nightmare when implementing large-scale projects. The solution is two words: authoring tool. A powerful, graphical, beyond the state-of-the-art authoring tool is needed that allows one to create elaborated contents in a fast and easy way. No such tool exists to date due to the highly innovative products commercialized by the SMEs. Such a tool will be created by the project. The authoring tool will increase competitiveness, because it significantly shortens production time (50% reduction of integration time) and effort (creation process affordable to non-specialists) for content development. It will also enable other people to create contents for the intended systems: SMEs can then sell more software while subcontracting or licensing the content production. It will also strengthen the European position in an authoring market dominated by US companies. SMEs alone cannot afford such a task, in terms of expertise but also in terms of resources. This project gathers the highly-specialized expertise from ZGDV, TUW and DIST which allows for the delivery of a prototype authoring tool. HadroNet will be the end-user serving the consortium and helping it to gather a larger community of end-users, in order to assess requirements, validate results and construct the basis of a commercial distribution system. Doing so, the project will set the first basis of a longer-term collaboration amongst all partners.", "abstract": "U-CREATE is initiated by Alterface, Imagination and ion2s, three SMEs which are primarily active in the field of edutainment, i.e. the joining of education and entertainment (customers are museums, cultural institutions, entertainment parks¿) They share a common and important problem: efficient content creation. Be it interactive setups, Mixed Reality experiences, location-based services, all these technologies are worthless without content: content is always to be tackled or delivered at the same time as technology. However, content creation is a long process that can turn to nightmare when implementing large-scale projects. The solution is two words: authoring tool. A powerful, graphical, beyond the state-of-the-art authoring tool is needed that allows one to create elaborated contents in a fast and easy way. No such tool exists to date due to the highly innovative products commercialized by the SMEs. Such a tool will be created by the project. The authoring tool will increase competitiveness, because it significantly shortens production time (50% reduction of integration time) and effort (creation process affordable to non-specialists) for content development. It will also enable other people to create contents for the intended systems: SMEs can then sell more software while subcontracting or licensing the content production. It will also strengthen the European position in an authoring market dominated by US companies. SMEs alone cannot afford such a task, in terms of expertise but also in terms of resources. This project gathers the highly-specialized expertise from ZGDV, TUW and DIST which allows for the delivery of a prototype authoring tool. HadroNet will be the end-user serving the consortium and helping it to gather a larger community of end-users, in order to assess requirements, validate results and construct the basis of a commercial distribution system. Doing so, the project will set the first basis of a longer-term collaboration amongst all partners.", "start_date": "2005-06-15", "end_date": "2007-12-31", "leader_id": { "id": 190, "drupal_id": 196, "orcid_id": "0000-0003-2516-7467", "website": "https://www.cg.tuwien.ac.at/staff/WernerPurgathofer", "firstname": "Werner", "lastname": "Purgathofer", "searchname": "Werner Purgathofer", "is_teacher": false, "name": "Werner Purgathofer", "publications": [ "artusi-2006-sut", "barth-1981-benutzer", "barth-1981-high", "barth-1981-schalt", "barth-1982-graph", "barth-1982-high", "barth-1982-impl", "barth-1982-neues", "barth-1982-prog", "barth-1983-anw", "barth-1983-devel", "barth-1983-handb", "barth-1984-ber", "barth-1984-ident", "barth-1984-pascal", "barth-1988-konz", "barth-1988-pict", "Bittner-2004-CHC", "brunnhuber-2010-behavior-handicapped", "Brusi-2001-Opt", "clauer-1986-aust", "clauer-1988-austr", "Devlin-2002-STA", "Eibner-12", "eibner-2009-gpc", "elias-1994-mont", "elias-1995-view", 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"boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", 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"zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Treelumination", "workgroup_id": "rend", "drupal_id": 4267, "drupal_path": "/research/projects/Treelumination", "name": "TreeLumination", "name_de": null, "short_title": "Treelumination", "website": null, "status": "active", "short_abstract": "The aim of the project Treelumination is to enhance the realism and visual quality of applications that need to display trees and tree-like plants in a real-time setting.", "abstract": "The aim of the Treelumination project is to enhance the realism and visual quality of applications that need to display trees and tree-like plants in a real-time setting. This is important because real-time photo-realistic illumination effects have not been used before for rendering trees in real-time rendering applications, although they are crucial for believable high-quality rendering. The effects that we are going to consider include shadows and self-shadowing, translucency of leaves, global illumination and high-dynamic range rendering.", "start_date": "2004-11-01", "end_date": "2007-11-30", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", 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"abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", 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"zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "Brandorff_06_PON", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "PongX", "date": "2006", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 533, "name": "Brandorff_06_PON-.jpg", "type": "image/jpeg", "size": 72855, "path": "Publication:Brandorff_06_PON", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 629 ], "supervisor": [ 356 ], "research_areas": [], "keywords": [ "Game", "Virtual Reality" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 533, "name": "Brandorff_06_PON-.jpg", "type": "image/jpeg", "size": 72855, "path": "Publication:Brandorff_06_PON", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/", "__class": "Publication" }, { "id": "CADIK-2006-IAQ", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Image Attributes and Quality for Evaluation of Tone Mapping Operators", "date": "2006-10", "abstract": "The problem of reproducing high dynamic range images\non devices with restricted dynamic range has gained a lot\nof interest in the computer graphics community. There exist\nvarious approaches to this issue, which span several research\nareas including computer graphics, image processing,\ncolor science, physiology, neurology, psychology, etc.\nThese approaches assume a thorough knowledge of both the\nobjective and subjective attributes of an image. However,\nno comprehensive overview and analysis of such attributes\nhas been published so far.\nIn this paper, we present an overview of image quality\nattributes of different tone mapping methods. Furthermore,\nwe propose a scheme of relationships between these\nattributes, leading to the definition of an overall image quality\nmeasure. We present results of subjective psychophysical\ntests that we have performed to prove the proposed relationship\nscheme. We also present the evaluation of existing tone\nmapping methods with regard to these attributes.\nOur effort is not just useful to get into the tone mapping\nfield or when implementing a tone mapping operator, but\nit also sets the stage for well-founded quality comparisons\nbetween tone mapping operators. By providing good definitions\nof the different attributes, user-driven or fully automatic\ncomparisons are made possible at all.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 451, "name": "CADIK-2006-IAQ-.png", "type": "image/png", "size": 276313, "path": "Publication:CADIK-2006-IAQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 635, 193, 177, 191 ], "booktitle": "Proceedings of Pacific Graphics 2006 (14th Pacific Conference on Computer Graphics and Applications)", "date_from": "2006-10-11", "date_to": "2006-10-13", "lecturer": [ 635 ], "location": "Taipe, Taiwan", "pages_from": "35", "pages_to": "44", "publisher": "National Taiwan University Press", "research_areas": [ "Rendering" ], "keywords": [ "tone mapping evaluation", "tone mapping", "high-dynamic range images" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 600, "image_height": 451, "name": "CADIK-2006-IAQ-.png", "type": "image/png", "size": 276313, "path": "Publication:CADIK-2006-IAQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CADIK-2006-IAQ-Paper.pdf", "type": "application/pdf", "size": 477797, "path": "Publication:CADIK-2006-IAQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/", "__class": "Publication" }, { "id": "CADIK-2008-EHD", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Evaluation of HDR Tone Mapping Methods Using Essential Perceptual Attributes", "date": "2008-06", "abstract": "The problem of reproducing high dynamic range images on devices with restricted dynamic range has gained a lot of interest in the computer graphics community. There exist various approaches to this issue, which span several research areas including computer graphics, image processing, color vision, physiological aspects, etc. These approaches assume a thorough knowledge of both the objective and subjective attributes of an image. However, no comprehensive overview and analysis of such attributes has been published so far.\n\nIn this contribution, we present an overview about the effects of basic image attributes in HDR tone mapping. Furthermore, we propose a scheme of relationships between these attributes, leading to the definition of an overall image quality measure. We present results of subjective psychophysical experiments that we have performed to prove the proposed relationship scheme. Moreover, we also present an evaluation of existing tone mapping methods (operators) with regard to these attributes. Finally, the execution of with-reference and without a real reference perceptual experiments gave us the opportunity to relate the obtained subjective results.\n\nOur effort is not just useful to get into the tone mapping field or when implementing a tone mapping method, but it also sets the stage for well-founded quality comparisons between tone mapping methods. By providing good definitions of the different attributes, user-driven or fully automatic comparisons are made possible.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "CADIK-2008-EHD-.bmp", "type": "image/x-ms-bmp", "size": 5760054, "path": "Publication:CADIK-2008-EHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 635, 193, 177, 191 ], "issn": "0097-8493", "journal": "Computers & Graphics", "number": "3", "pages_from": "330", "pages_to": "349", "volume": "32", "research_areas": [ "Rendering" ], "keywords": [ "high dynamic range", "tone mapping operators", "tone mapping evaluation", "image attributes" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1600, "image_height": 1200, "name": "CADIK-2008-EHD-.bmp", "type": "image/x-ms-bmp", "size": 5760054, "path": "Publication:CADIK-2008-EHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CADIK-2008-EHD-Preprint.pdf", "type": "application/pdf", "size": 2159163, "path": "Publication:CADIK-2008-EHD", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-Preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/", "__class": "Publication" }, { "id": "G_P_06_RFS", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Rendering of Forest Scenes", "date": "2006", "abstract": "I will discuss and compare two methods to render large forest scenes. One involves pre-generated impostors with different levels of coarseness, the other one batches up large parts of the scene according to an octree grid. Additionally, a method for LOD blending without transparency and a method for tree shading will also be presented.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 299, "name": "G_P_06_RFS-.jpg", "type": "image/jpeg", "size": 49489, "path": "Publication:G_P_06_RFS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 627 ], "supervisor": [ 356 ], "research_areas": [], "keywords": [ "hierarchy", "forest", "rendering", "ogre", "gpu" ], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 400, "image_height": 299, "name": "G_P_06_RFS-.jpg", "type": "image/jpeg", "size": 49489, "path": "Publication:G_P_06_RFS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-:thumb{{size}}.png" }, { "description": "Developermanual", "filetitle": "Developermanual", "main_file": false, "use_in_gallery": false, "access": "public", "name": "G_P_06_RFS-Developermanual.pdf", "type": "application/pdf", "size": 828148, "path": "Publication:G_P_06_RFS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Developermanual.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Developermanual:thumb{{size}}.png" }, { "description": "Manual", "filetitle": "Manual", "main_file": false, "use_in_gallery": false, "access": "public", "name": "G_P_06_RFS-Manual.pdf", "type": "application/pdf", "size": 513365, "path": "Publication:G_P_06_RFS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Manual.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Manual:thumb{{size}}.png" }, { "description": "Report", "filetitle": "Report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "G_P_06_RFS-Report.pdf", "type": "application/pdf", "size": 3268449, "path": "Publication:G_P_06_RFS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Report:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": 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"0325080", "supervisor": [ 618 ], "research_areas": [], "keywords": [ "Collada", "Versioning", "Visual" ], "weblinks": [], "files": [ { "description": "Visual Versioning in action", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 812, "image_height": 625, "name": "Grasberger_08_VV-image.png", "type": "image/png", "size": 50702, "path": "Publication:Grasberger_08_VV", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/Grasberger_08_VV-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/Grasberger_08_VV-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/", "__class": "Publication" }, { "id": "Grasberger_2008_ISR", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Introduction to Stereo Rendering", "date": "2008", "abstract": "In this paper we describe different techniques of rendering\r\nstereo scenes in real-time. We discuss the physical\r\nproperties of the given stereo setup and revise some basics\r\nknowledge needed for generating the stereo pairs. After\r\nthat we discuss several techniques for rendering stereo\r\npairs according to correctness. We explain certain effects\r\nand their appearance in a stereo rendered scene. Finally\r\nwe explain how stereo rendering works with OpenGL", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Grasberger_2008_ISR-image.png", "type": "image/png", "size": 875596, "path": "Publication:Grasberger_2008_ISR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 718 ], "supervisor": [ 618 ], "research_areas": [], "keywords": [ "Shader Effects", "Stereo Rendering" ], "weblinks": [], "files": [ { "description": "", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Grasberger_2008_ISR-image.png", "type": "image/png", "size": 875596, "path": "Publication:Grasberger_2008_ISR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image:thumb{{size}}.png" }, { "description": "Introduction to Stereo Rendering", "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Grasberger_2008_ISR-Paper.pdf", "type": "application/pdf", "size": 7196294, "path": "Publication:Grasberger_2008_ISR", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/", "__class": "Publication" }, { "id": "guerrero-2008-sli", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Real-time Indirect Illumination and Soft Shadows in Dynamic Scenes Using Spherical Lights", "date": "2008-10", "abstract": "We present a method for rendering approximate soft shadows and diffuse indirect illumination in dynamic scenes.\nThe proposed method approximates the original scene geometry with a set of tightly fitting spheres. In previous\nwork, such spheres have been used to dynamically evaluate the visibility function to render soft shadows. In this\npaper, each sphere also acts as a low-frequency secondary light source, thereby providing diffuse one-bounce\nindirect illumination. The method is completely dynamic and proceeds in two passes: In a first pass, the light\nintensity distribution on each sphere is updated based on sample points on the corresponding object surface and\nconverted into the spherical harmonics basis. In a second pass, this radiance information and the visibility are\naccumulated to shade final image pixels. The sphere approximation allows us to compute visibility and diffuse\nreflections of an object at interactive frame rates of over 20 fps for moderately complex scenes.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "guerrero-2008-sli-.jpg", "type": "image/jpeg", "size": 135362, "path": "Publication:guerrero-2008-sli", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 627, 356, 193 ], "journal": "Computer Graphics Forum", "number": "8", "pages_from": "2154", "pages_to": "2168", "volume": "27", "research_areas": [ "Rendering" ], "keywords": [ "global illumination", "precomputed radiance transfer", "soft shadows" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 800, "image_height": 600, "name": "guerrero-2008-sli-.jpg", "type": "image/jpeg", "size": 135362, "path": "Publication:guerrero-2008-sli", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-:thumb{{size}}.png" }, { "description": "Pre-print of the full journal paper.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "guerrero-2008-sli-paper.pdf", "type": "application/pdf", "size": 17256545, "path": "Publication:guerrero-2008-sli", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-paper:thumb{{size}}.png" }, { "description": "Short video demonstration of our method.", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "guerrero-2008-sli-video.avi", "type": "video/x-msvideo", "size": 34756110, "path": "Publication:guerrero-2008-sli", "preview_name": "guerrero-2008-sli-video:preview.png", "preview_type": "image/jpeg", "preview_size": 20460, "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-video:video.mp4" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/", "__class": "Publication" }, { "id": "Habel_07_xms", "type_id": "xmascard", "tu_id": null, "repositum_id": null, "title": "X-mas 2007", "date": "2007", "abstract": "Die gezeigte Szene ist mit einer Poisson-gefilterten Shadow Map \ndynamisch beleuchtet und wird mittels DirectX 10 dargestellt. \nDie Tanne besteht aus insgesamt 60.032 teilweise transparenten Dreiecken.\n\nAlle Oberflächen sind mit Normal Maps versehen, \ndie bei der Tanne und dem schneebedeckten Gelände \nmit multi-bounce Ambient Occlusion kombiniert werden. \nEin modifizierter Reinhard Tone Mapper mit Glare-Filter \nsorgt für eine realistische Darstellung bei 60 Bildern pro Sekunde.\n\n\n\nThe shown scene is dynamically lit with a Poisson-filtered shadow map \nand displayed using DirectX 10. The fir tree consists of 60,032 partly transparent triangles. \nAll surfaces are normal mapped, which is combined with multi-bounce ambient occlusion \nfor the fir tree and the snow-covered terrain. \nA modified Reinhard tone mapper with a glare filter realistically displays the scene at 60 frames per second.", "authors_et_al": false, "substitute": null, "main_image": { "description": "xmas card front", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 722, "name": "Habel_07_xms-image.jpg", "type": "image/jpeg", "size": 306325, "path": "Publication:Habel_07_xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618 ], "research_areas": [ "Rendering" ], "keywords": [ "x-mas" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Christmas card", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_07_xms-Christmas card.pdf", "type": "application/pdf", "size": 27810588, "path": "Publication:Habel_07_xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-Christmas card.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-Christmas card:thumb{{size}}.png" }, { "description": "xmas card front", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 722, "name": "Habel_07_xms-image.jpg", "type": "image/jpeg", "size": 306325, "path": "Publication:Habel_07_xms", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination", "xmas" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/", "__class": "Publication" }, { "id": "Habel_08_SSH", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Efficient Spherical Harmonics Lighting with the Preetham Skylight Model", "date": "2008-04", "abstract": "We present a fast and compact representation of a skylight model for spherical harmonics lighting, especially for outdoor scenes. This representation allows dynamically changing the sun position and weather conditions on a per frame basis. We chose the most used model in real-time graphics, the Preetham skylight model, because it can deliver both realistic colors and dynamic range and its extension into spherical harmonics can be used to realistically light a scene. We separate the parameters of the Preetham skylight models' spherical harmonics extension and perform a polynomial two-dimensional non-linear least squares fit for the principal parameters to achieve both negligible memory and computation costs. Additionally, we execute a domain specific Gibbs phenomena suppression to remove ringing artifacts.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Sunset", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_08_SSH-image.jpg", "type": "image/jpeg", "size": 313779, "path": "Publication:Habel_08_SSH", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 706, 193 ], "booktitle": "Eurographics 2008 - Short Papers", "editor": "Katerina Mania and Erik Reinhard", "issn": "1017-4656", "lecturer": [ 618 ], "location": "Crete, Greece", "pages_from": "119", "pages_to": "122", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Natural Phenomena", "Spherical Harmonics", "Skylight" ], "weblinks": [], "files": [ { "description": "Sunset", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_08_SSH-image.jpg", "type": "image/jpeg", "size": 313779, "path": "Publication:Habel_08_SSH", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image:thumb{{size}}.png" }, { "description": null, "filetitle": "implementation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_08_SSH-implementation.rar", "type": "application/x-rar", "size": 147898, "path": "Publication:Habel_08_SSH", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-implementation.rar", "thumb_image_sizes": [] }, { "description": "Sky-SH", "filetitle": "Movie", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_08_SSH-Movie.wmv", "type": "text/plain", "size": 6629409, "path": "Publication:Habel_08_SSH", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-Movie.wmv", "thumb_image_sizes": [] }, { "description": "Efficient Spherical Harmonics Lighting with the Preetham Skylight Model", "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_08_SSH-Preprint.pdf", "type": "application/pdf", "size": 992797, "path": "Publication:Habel_08_SSH", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-Preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/", "__class": "Publication" }, { "id": "Habel_09_PGT", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Physically Guided Animation of Trees", "date": "2009-03", "abstract": "This paper presents a new method to animate the interaction of a tree with wind both realistically and in real time. The main idea is to combine statistical observations with physical properties in two major parts of tree animation. First, the interaction of a single branch with the forces applied to it is approximated by a novel efficient two step nonlinear deformation method, allowing arbitrary continuous deformations and circumventing the need to segment a branch to model its deformation behavior.\nSecond, the interaction of wind with the dynamic system representing a tree is statistically\nmodeled. By precomputing the response function of branches to turbulent wind in frequency\nspace, the motion of a branch can be synthesized efficiently by sampling a 2D motion texture.\n\nUsing a hierarchical form of vertex displacement, both methods can be combined in a single vertex shader, fully leveraging the power of modern GPUs\nto realistically animate thousands of branches and ten thousands of leaves at practically no cost.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Animated Tree", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_09_PGT-Image.jpg", "type": "image/jpeg", "size": 339703, "path": "Publication:Habel_09_PGT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 670, 193 ], "date_from": "2009-03-30", "date_to": "2009-04-03", "event": "EUROGRAPHICS 2009", "issn": "0167-7055", "journal": "Computer Graphics Forum (Proceedings EUROGRAPHICS 2009)", "lecturer": [ 618 ], "location": "Munich", "number": "2", "pages_from": "523", "pages_to": "532", "volume": "28", "research_areas": [ "Rendering" ], "keywords": [ "Animation", "Physically Guided animation", "Vegetation", "Trees" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01391.x/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Physically Guided Animation of Trees", "filetitle": "draft", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_09_PGT-draft.pdf", "type": "application/pdf", "size": 2733729, "path": "Publication:Habel_09_PGT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-draft.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-draft:thumb{{size}}.png" }, { "description": "Animated Tree", "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_09_PGT-Image.jpg", "type": "image/jpeg", "size": 339703, "path": "Publication:Habel_09_PGT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image:thumb{{size}}.png" }, { "description": "Video", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 720, "preview_image_height": 576, "name": "Habel_09_PGT-Video.avi", "type": "video/x-msvideo", "size": 83009760, "path": "Publication:Habel_09_PGT", "preview_name": "Habel_09_PGT-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 11887, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video:video.mp4" } ], "projects_workgroups": [ "GAMEWORLD", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/", "__class": "Publication" }, { "id": "Habel_2007_IAG", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Instant Animated Grass", "date": "2007-01", "abstract": "This paper introduces a technique for rendering animated grass in real time. The technique uses front-to-back compositing of implicitly defined grass slices in a fragment shader and therefore significantly reduces the overhead associated with common vegetation rendering systems. We also introduce a texture-based animation scheme that combines global wind movements with local turbulences. Since the technique is confined to a fragment shader, it can be easily integrated into any rendering system and used as a material in existing scenes. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "grass screenshot", "filetitle": "grass_screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_2007_IAG-grass_screenshot.jpg", "type": "image/jpeg", "size": 454916, "path": "Publication:Habel_2007_IAG", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 193, 356 ], "date_from": "2007-01-29", "date_to": "2007-02-02", "event": "WSCG", "issn": "1213-6972", "journal": "Journal of WSCG", "lecturer": [ 618 ], "location": "Plzen, CZ", "note": "ISBN 978-80-86943-00-8", "number": "1-3", "pages_from": "123", "pages_to": "128", "volume": "15", "research_areas": [ "Rendering" ], "keywords": [ "Real-time Rendering", "Natural Scene Rendering", "Natural Phenomena", "GPU Programming" ], "weblinks": [], "files": [ { "description": "grass screenshot", "filetitle": "grass_screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_2007_IAG-grass_screenshot.jpg", "type": "image/jpeg", "size": 454916, "path": "Publication:Habel_2007_IAG", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot:thumb{{size}}.png" }, { "description": "HLSL implementation of the grass shader", "filetitle": "grass_shader", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2007_IAG-grass_shader.HLSL", "type": "text/plain", "size": 7169, "path": "Publication:Habel_2007_IAG", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_shader.HLSL", "thumb_image_sizes": [] }, { "description": "Textures used in the paper", "filetitle": "grass_textures", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2007_IAG-grass_textures.zip", "type": "application/x-zip", "size": 11590868, "path": "Publication:Habel_2007_IAG", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_textures.zip", "thumb_image_sizes": [] }, { "description": "Video of instant animated grass", "filetitle": "instant_animated_grass", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2007_IAG-instant_animated_grass.wmv", "type": "text/plain", "size": 27782156, "path": "Publication:Habel_2007_IAG", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-instant_animated_grass.wmv", "thumb_image_sizes": [] }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_2007_IAG-Preprint.pdf", "type": "application/pdf", "size": 7083923, "path": "Publication:Habel_2007_IAG", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-Preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/", "__class": "Publication" }, { "id": "Habel_2007_RTT", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Physically Based Real-Time Translucency for Leaves", "date": "2007-06", "abstract": "This paper presents a new shading model for real-time rendering of plant leaves that reproduces all important attributes of a leaf and allows for a large number of leaves to be shaded. In particular, we use a physically based model for accurate subsurface scattering on the translucent side of directly lit leaves. For real-time rendering of this model, we formulate it as an image convolution process and express the result in an efficient directional basis that is fast to evaluate. We also propose a data acquisition method for leaves that uses off-the-shelf devices.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Physically based translucency on a tree", "filetitle": "Screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1018, "image_height": 742, "name": "Habel_2007_RTT-Screenshot.png", "type": "image/png", "size": 986183, "path": "Publication:Habel_2007_RTT", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 670, 193 ], "booktitle": "Rendering Techniques 2007 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2007-06-25", "date_to": "2007-06-27", "editor": "Jan Kautz and Sumanta Pattanaik", "isbn": "978-3-905673-52-4", "lecturer": [ 618 ], "location": "Grenoble, France", "organization": "Eurographics", "pages_from": "253", "pages_to": "263", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Realtime Rendering", " Natural Scene Rendering", "Physically Based Rendering", "Natural Phenomena" ], "weblinks": [], "files": [ { "description": "Albedo, translucency, normal, HL2-basis and thickness maps", "filetitle": "Leaf textures", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2007_RTT-Leaf textures.zip", "type": "application/x-zip", "size": 39225136, "path": "Publication:Habel_2007_RTT", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Leaf textures.zip", "thumb_image_sizes": [] }, { "description": "Physically Based Real-Time Translucency for Leaves", "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_2007_RTT-Preprint.pdf", "type": "application/pdf", "size": 8379881, "path": "Publication:Habel_2007_RTT", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Preprint:thumb{{size}}.png" }, { "description": "Physically based translucency on a tree", "filetitle": "Screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1018, "image_height": 742, "name": "Habel_2007_RTT-Screenshot.png", "type": "image/png", "size": 986183, "path": "Publication:Habel_2007_RTT", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot:thumb{{size}}.png" }, { "description": "Video and Screenshots", "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_2007_RTT-Video.zip", "type": "application/x-zip", "size": 70074419, "path": "Publication:Habel_2007_RTT", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Video.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/", "__class": "Publication" }, { "id": "Habel_2009_PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Real-time Rendering and Animation of Vegetation", "date": "2009-02", "abstract": "Vegetation rendering and animation in real-time applications still pose a significant problem due to the inherent complexity of plants. Both the high geometric complexity and intricate light transport require specialized techniques to achieve high-quality rendering of vegetation in real time. This thesis presents new algorithms that address various areas of both vegetation rendering and animation.\n\nFor grass rendering, an efficient algorithm to display dense and short grass is introduced. In contrast to previous methods, the new approach is based on ray tracing to avoid the massive overdraw of billboard or explicit geometry representation techniques, achieving independence of the complexity of the grass without losing the visual characteristics of grass such as parallax and occlusion effects as the viewpoint moves.\n\nAlso, a method to efficiently render leaves is introduced. Leaves exhibit a complex light transport behavior due to subsurface scattering and special attention is given to the translucency of leaves, an integral part of leaf shading. The light transport through a leaf is precomputed and can be easily evaluated at runtime, making it possible to shade a massive amount of leaves while including the effects that occur due to the leaf structure such as varying albedo and thickness variations or self shadowing.\n\nTo animate a tree, a novel deformation method based on a structural mechanics model that incorporates the important physical properties of branches is introduced. This model does not require the branches to be segmented by joints as other methods, achieving smooth and accurate bending, and can be executed fully on a GPU. To drive this deformation, an optimized spectral approach that also incorporates the physical properties of branches is used. This allows animating a highly detailed tree with thousands of branches and ten thousands of leaves efficiently.\n\nAdditionally, a method to use dynamic skylight models in spherical harmonics precomputed radiance transfer techniques is introduced, allowing to change the skylight parameters in real time at no considerable cost and memory footprint.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_2009_PhD-.png", "type": "image/png", "size": 963757, "path": "Publication:Habel_2009_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618 ], "co_supervisor": [ 1298 ], "date_end": "2009-03", "date_start": "2005-05", "rigorosum": "2009-03-06", "supervisor": [ 193 ], "research_areas": [ "Rendering" ], "keywords": [ "Animation", "Real-time Rendering", "Vegetation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Habel_2009_PhD-.png", "type": "image/png", "size": 963757, "path": "Publication:Habel_2009_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-:thumb{{size}}.png" }, { "description": "Real-time Rendering and Animation of Vegetation", "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Habel_2009_PhD-Thesis.pdf", "type": "application/pdf", "size": 35942015, "path": "Publication:Habel_2009_PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/", "__class": "Publication" }, { "id": "Habel_RAV_2010", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Real-Time Rendering and Animation of Vegetation", "date": "2010-10", "abstract": "Vegetation in all its different forms is almost\nalways part of a scenery, be it fully natural or urban. Even in\ncompletely cultivated areas or indoor scenes, though not very\ndominant, potted plants or alley trees and patches of grass\nare usually part of a surrounding. Rendering and animating\nvegetation is substantially different from rendering and animating\ngeometry with less geometric complexity such as houses,\nmanufactured products or other objects consisting of largely\nconnected surfaces.\nIn this paper we will discuss several challenges posed by\nvegetation in real-time applications such as computer games\nand virtual reality applications and show efficient solutions to\nthe problems.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 582, "name": "Habel_RAV_2010-.png", "type": "image/png", "size": 919347, "path": "Publication:Habel_RAV_2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618 ], "booktitle": "14th International Conference on System Theory and Control (Joint conference of SINTES14, SACCS10, SIMSIS14)", "date_from": "2010-10-17", "date_to": "2010-10-19", "issn": "2068-0465", "lecturer": [ 618 ], "location": "Sinaia", "pages_from": "231", "pages_to": "236", "research_areas": [ "Rendering" ], "keywords": [ "Animation", "Real-Time Rendering", "Vegetation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 582, "name": "Habel_RAV_2010-.png", "type": "image/png", "size": 919347, "path": "Publication:Habel_RAV_2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-:thumb{{size}}.png" }, { "description": "Real-Time Rendering and Animation of Vegetation", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Habel_RAV_2010-paper.pdf", "type": "application/pdf", "size": 6452891, "path": "Publication:Habel_RAV_2010", "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/", "__class": "Publication" }, { "id": "Habel-09-RAT", "type_id": "misc", "tu_id": null, "repositum_id": null, "title": "Real-Time Rendering and Animation of Trees", "date": "2009-08-03", "abstract": "This demonstration combines novel methods for physically accurate yet efficient rendering and animation of trees under dynamic lighting conditions. A new leaf shading method is used that models the high-frequency structures such as veins and bulges to reproduce all important lighting attributes on a physical basis. Those structures are also used to calculate the translucency of leaves, which is modeled with physically based subsurface scattering, incorporating self-shadowing, thickness variations and varying albedo. This allows consistent reflective and translucent shading without constraining lighting or animation for close-up views. The individual deformation and animation of leaves and branches is defined by their physical properties such as shape and elasticity. A structural mechanics model is solved and combined with a length correction to achieve a physically plausible bending. To model the tree-wind interaction, a spectral approach is applied that allows for a physically guided animation as well as a high level of control. The applied methods have been published in \"Physically Based Real-time Translucency for Leaves (EGSR 2007)\" and \"Physically Guided Animation of Trees (Eurographics 2009)\". ", "authors_et_al": false, "substitute": null, "main_image": { "description": "Screenshot", "filetitle": "Screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "Habel-09-RAT-Screenshot.jpg", "type": "image/jpeg", "size": 223827, "path": "Publication:Habel-09-RAT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618, 670 ], "date_from": "2009-08-03", "date_to": "2009-08-07", "lecturer": [ 618 ], "location": "New Orleans ", "research_areas": [ "Rendering" ], "keywords": [ "Real-Time Rendering", "Trees", "Animation" ], "weblinks": [], "files": [ { "description": "Animation in SD (XVID.360p30)", "filetitle": "low res video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 360, "name": "Habel-09-RAT-low res video.avi", "type": "video/x-msvideo", "size": 117784952, "path": "Publication:Habel-09-RAT", "preview_name": "Habel-09-RAT-low res video:preview.png", "preview_type": "image/jpeg", "preview_size": 4224, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-low res video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-low res video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-low res video:video.mp4" }, { "description": "Screenshot", "filetitle": "Screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1280, "image_height": 720, "name": "Habel-09-RAT-Screenshot.jpg", "type": "image/jpeg", "size": 223827, "path": "Publication:Habel-09-RAT", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot:thumb{{size}}.png" }, { "description": "Animation in HD (H.264.720p30)", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "Habel-09-RAT-video.avi", "type": "video/x-msvideo", "size": 242046976, "path": "Publication:Habel-09-RAT", "preview_name": "Habel-09-RAT-video:preview.png", "preview_type": "image/jpeg", "preview_size": 14944, "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-video:video.mp4" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/", "__class": "Publication" }, { "id": "Habel-09-THB", "type_id": "book", "tu_id": null, "repositum_id": null, "title": "Real-time Rendering and Animation of Vegetation: Advances in displaying vegetation for interactive applications", "date": "2009", "abstract": "Vegetation rendering and animation in real-time applications still pose a significant problem due to the inherent complexity of plants. Both the high geometric complexity and intricate light\ntransport require specialized techniques to achieve high-quality rendering of vegetation in real time.\nThis thesis presents new algorithms that address various areas of both vegetation rendering and animation. For grass rendering, an efficient algorithm to display grass is introduced. Also, a\nmethod to efficiently render leaves is introduced.\nLeaves exhibit a complex light transport behavior due to subsurface scattering and special attention is given to the translucency of leaves, an integral part of leaf shading.\nTo animate a tree, a novel deformation method based on a structural mechanics model that incorporates the important physical properties of branches is introduced. To drive this deformation, an optimized spectral approach that also incorporates the physical properties of branches is used. Additionally, a method to use dynamic skylight models in spherical harmonics precomputed radiance transfer techniques is introduced, allowing to change the skylight parameters in real time. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "book cover", "filetitle": "book cover", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 240, "image_height": 240, "name": "Habel-09-THB-book cover.jpg", "type": "image/jpeg", "size": 5851, "path": "Publication:Habel-09-THB", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 618 ], "isbn": "978-3838104997", "pages": "140", "publisher": "Suedwestdeutscher Verlag fuer Hochschulschriften", "research_areas": [ "Rendering" ], "keywords": [ "Real-time Rendering", "Vegetation" ], "weblinks": [], "files": [ { "description": "book cover", "filetitle": "book cover", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 240, "image_height": 240, "name": "Habel-09-THB-book cover.jpg", "type": "image/jpeg", "size": 5851, "path": "Publication:Habel-09-THB", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/", "__class": "Publication" }, { "id": "Hartl_2006_OgC", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "OgreCollada", "date": "2006", "abstract": "Implementation of a Collada 1.3.1 importer for the Ogre3D Graphics Engine.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Collada import", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 600, "name": "Hartl_2006_OgC-.png", "type": "image/png", "size": 107937, "path": "Publication:Hartl_2006_OgC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 619 ], "supervisor": [ 618 ], "research_areas": [], "keywords": [ "Ogre3D", "Collada" ], "weblinks": [], "files": [ { "description": "Collada import", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 600, "name": "Hartl_2006_OgC-.png", "type": "image/png", "size": 107937, "path": "Publication:Hartl_2006_OgC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/", "__class": "Publication" }, { "id": "Ishmukhametov_Denis_2011_EIN", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Efficient Irradiance Normal Mapping", "date": "2011", "abstract": "Cinematic image quality has always been one of the most important challenges of computer graphics. One of the key components, that realistic CG is comprised of, is illumination. In real-time graphics resources are limited, hence we cannot a\u001bord dynamic realistic\r\nphyscially accurate lighting. However, we can precalculate high-quality static lighting - light mapping method. But we cannot use normal mapping with light mapping directly, because in light mapping, lighting is precalculated for one default normal direction whereas in normal mapping normals are de\u001cned in a hemispherical domain. Irradiance normal mapping methods overcomes such problems by using spherical or hemispherical basis functions to encode the irradiance signal.\r\nOur task is to compare the existing approaches to irradiance normal mapping visually and analytically by implementing the irradiance normal mapping pipeline with the demo application that demonstrates di\u001berent lighting methods and allows to switch between them in run-time.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Image", "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1360, "image_height": 768, "name": "Ishmukhametov_Denis_2011_EIN-Image.jpg", "type": "image/jpeg", "size": 615098, "path": "Publication:Ishmukhametov_Denis_2011_EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 927 ], "supervisor": [ 618 ], "research_areas": [], "keywords": [ "Real-time Rendering", "Global Illumination", "Irradiance Normal Mapping", "Radiosity" ], "weblinks": [], "files": [ { "description": "Image", "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1360, "image_height": 768, "name": "Ishmukhametov_Denis_2011_EIN-Image.jpg", "type": "image/jpeg", "size": 615098, "path": "Publication:Ishmukhametov_Denis_2011_EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image:thumb{{size}}.png" }, { "description": "Source Code and binary", "filetitle": "Implementation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ishmukhametov_Denis_2011_EIN-Implementation.zip", "type": "application/zip", "size": 169462860, "path": "Publication:Ishmukhametov_Denis_2011_EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Implementation.zip", "thumb_image_sizes": [] }, { "description": "Efficient Irradiance Normal Mapping", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ishmukhametov_Denis_2011_EIN-Paper.pdf", "type": "application/pdf", "size": 22893197, "path": "Publication:Ishmukhametov_Denis_2011_EIN", "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/", "__class": "Publication" }, { "id": "jeschke-05-AIP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Automatic Impostor Placement for Guaranteed Frame Rates and Low Memory Requirements", "date": "2005-04", "abstract": "Impostors are image-based primitives commonly used to replace complex geometry in order to reduce the rendering time needed for displaying complex scenes. However, a big problem is the huge amount of memory required for impostors. \nThis paper presents an algorithm that automatically places impostors into a scene so that a desired frame rate and\nimage quality is always met, while at the same time not requiring enormous amounts of impostor memory. The low memory requirements are provided by a new placement method and through the simultaneous use of other acceleration techniques like visibility culling and geometric levels of detail.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 949, "image_height": 361, "name": "jeschke-05-AIP-image.jpg", "type": "image/jpeg", "size": 90640, "path": "Publication:jeschke-05-AIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193, 357, 190 ], "booktitle": "Proceedings of ACM SIGGRAPH 2005 Symposium on Interactive 3D Graphics and Games", "date_from": "2005-04-03", "date_to": "2005-04-06", "isbn": "1-59593-013-2", "lecturer": [ 356 ], "location": "Washington DC", "organization": "ACM", "pages_from": "103", "pages_to": "110", "publisher": "ACM Press", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 949, "image_height": 361, "name": "jeschke-05-AIP-image.jpg", "type": "image/jpeg", "size": 90640, "path": "Publication:jeschke-05-AIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-05-AIP-Paper.pdf", "type": "application/pdf", "size": 1153371, "path": "Publication:jeschke-05-AIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "jeschke-05-AIP-Video.mpg", "type": "video/mpv", "size": 47809988, "path": "Publication:jeschke-05-AIP", "preview_name": "jeschke-05-AIP-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 5347, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video.mpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video:video.mp4" } ], "projects_workgroups": [ "Treelumination", "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/", "__class": "Publication" }, { "id": "jeschke-05-ISTAR", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "Image-based Representations for Accelerated Rendering of Complex Scenes", "date": "2005-08", "abstract": "This paper gives an overview of image-based representations commonly used for reducing the geometric complexity of a scene description in order to accelerate the rendering process. Several different types of representations and ways for using them have been presented, which are classified and discussed here. Furthermore, the overview includes techniques for accelerating the rendering of static scenes or scenes with animations and/or dynamic lighting\neffects. The advantages and drawbacks of the different approaches are illuminated, and unsolved problems and roads for further research are shown.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 808, "image_height": 609, "name": "jeschke-05-ISTAR-image.jpg", "type": "image/jpeg", "size": 126171, "path": "Publication:jeschke-05-ISTAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193, 190 ], "booktitle": "EUROGRAPHICS 2005 State of the Art Reports", "date_from": "2005-08-29", "date_to": "2005-09-02", "editor": "Y. Chrysanthou and M. Magnor", "location": "Dublin, Ireland", "organization": "EUROGRAPHICS", "pages_from": "1", "pages_to": "20", "publisher": "The Eurographics Association and The Image Synthesis Group", "research_areas": [ "Rendering" ], "keywords": [ "Impostors", "Display Algorithms", "Three Dimensional Graphics and Realism", "Color, Shading, Shadowing and Texture" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 808, "image_height": 609, "name": "jeschke-05-ISTAR-image.jpg", "type": "image/jpeg", "size": 126171, "path": "Publication:jeschke-05-ISTAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-05-ISTAR-Paper.pdf", "type": "application/pdf", "size": 4805329, "path": "Publication:jeschke-05-ISTAR", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/", "__class": "Publication" }, { "id": "jeschke-09-praguetalk", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Diffusion Curve Images--- Rendering in 2 and 3 Dimensions", "date": "2009", "abstract": "Diffusion curve images (DCI) provide a powerful tool for efficient 2D\nimage generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image,\nthe final result includes sharp boundaries along the curves with smoothly shaded regions between them.\n\nThe first part of the talk presents a new Laplacian surface solver for a\nstable rendering of DCIs. It consists of a robust rasterization technique\nto transform the algebraic curves to the discrete image domain, and a\nvariable stencil size diffusion solver that solves the minimal surface problem. The solver is proven to converge to the right solution, it is at\nleast as fast as commonly used multigrid solvers, but much simpler to\nimplement, works for arbitrary image resolutions, as well as 8 bit data.\n\nThe second part of the talk extends the application of diffusion curves to\nrender high quality surface details on 3D objects. The first extension is\na view dependent warping technique that dynamically allocates more texture\nmemory for details close to the observer. The second extension is a\ndynamic feature embedding technique that retains crisp, anti-aliased curve\ndetails even in extreme closeups. The third extension is the application\nof dynamic feature embedding to displacement mapping and geometry images. Our results show high quality renderings at interactive frame rates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1625, "image_height": 910, "name": "jeschke-09-praguetalk-.png", "type": "image/png", "size": 131517, "path": "Publication:jeschke-09-praguetalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356 ], "date_from": "2009-10-07", "date_to": "2009-10-07", "event": "Konversatorium Technical University of Prague ", "location": "Prague", "research_areas": [ "Rendering" ], "keywords": [ "Diffusion curves" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "image_width": 1625, "image_height": 910, "name": "jeschke-09-praguetalk-.png", "type": "image/png", "size": 131517, "path": "Publication:jeschke-09-praguetalk", "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/", "__class": "Publication" }, { "id": "JESCHKE-2007-ISC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Smooth and Curved Shell Mapping", "date": "2007-06", "abstract": "Shell mapping is a technique to represent three-dimensional surface details. This is achieved by extruding the triangles of an existing mesh along their normals, and mapping a 3D function (e.g., a 3D texture) into the resulting\nprisms. Unfortunately, such a mapping is nonlinear. Previous approaches perform a piece-wise linear approximation\nby subdividing the prisms into tetrahedrons. However, such an approximation often leads to severe artifacts.\nIn this paper we present a correct (i.e., smooth) mapping that does not rely on a decomposition into tetrahedrons. We present an efficient GPU ray casting algorithm which provides correct parallax, self-occlusion, and silhouettes, at the cost of longer rendering times. The new formulation also allows modeling shells with smooth curvatures using Coons patches within the prisms. Tangent continuity between adjacent prisms is guaranteed, while the\nmapping itself remains local, i.e. every curved prism content is modeled at runtime in the GPU without the need\nfor any precomputation. This allows instantly replacing animated triangular meshes with prism-based shells.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 407, 193 ], "booktitle": "Rendering Techniques 2007 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2007-06-25", "date_to": "2007-06-27", "editor": "Jan Kautz and Sumanta Pattanaik", "isbn": "978-3-905673-52-4", "lecturer": [ 356 ], "location": "Grenoble, France", "organization": "Eurographics", "pages": "10", "pages_from": "351", "pages_to": "360", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Display algorithms", "Shading" ], "weblinks": [], "files": [ { "description": null, "filetitle": "additional images", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 882, "preview_image_height": 545, "name": "JESCHKE-2007-ISC-additional images.pdf", "type": "application/pdf", "size": 5691735, "path": "Publication:JESCHKE-2007-ISC", "preview_name": "JESCHKE-2007-ISC-additional images:preview.png", "preview_type": "image/jpeg", "preview_size": 393544, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-additional images.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-additional images:thumb{{size}}.png" }, { "description": "A shell-mapped cube", "filetitle": "cube", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1428, "image_height": 755, "name": "JESCHKE-2007-ISC-cube.jpg", "type": "image/jpeg", "size": 567817, "path": "Publication:JESCHKE-2007-ISC", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-cube.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-cube:thumb{{size}}.png" }, { "description": "A shell-mapped and environment-mapped sphere", "filetitle": "EnvMapI", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1018, "image_height": 759, "name": "JESCHKE-2007-ISC-EnvMapI.jpg", "type": "image/jpeg", "size": 160109, "path": "Publication:JESCHKE-2007-ISC", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapI.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapI:thumb{{size}}.png" }, { "description": "Closeup of a shell-mapped and environment-mapped sphere", "filetitle": "EnvMapII", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1190, "image_height": 521, "name": "JESCHKE-2007-ISC-EnvMapII.jpg", "type": "image/jpeg", "size": 551482, "path": "Publication:JESCHKE-2007-ISC", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapII.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapII:thumb{{size}}.png" }, { "description": "Mapping between prisms in texture and world space", "filetitle": "Mapping", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1190, "image_height": 485, "name": "JESCHKE-2007-ISC-Mapping.jpg", "type": "image/jpeg", "size": 416777, "path": "Publication:JESCHKE-2007-ISC", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-Mapping.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-Mapping:thumb{{size}}.png" }, { "description": null, 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This work summarizes the theoretical background and results\r\nof previous works. A ready-to-use HDR rendering library has been developed that integrates seamlessly into the\r\nopen source graphics engine Ogre3D. Further a comparison that show the advantages and disadvantages\r\nof different techniques in a realtime rendered scene has been made.", "authors_et_al": false, "substitute": null, "main_image": { "description": "HDR_Screenshot", "filetitle": "HDR_Screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Luksch_2007_RHR-HDR_Screenshot.PNG", "type": "image/png", "size": 497211, "path": "Publication:Luksch_2007_RHR", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 659 ], "supervisor": [ 618 ], "research_areas": [], "keywords": [ "HDR", "Realtime Rendering" ], "weblinks": [], "files": [ { "description": "HDR_Screenshot", "filetitle": "HDR_Screenshot", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "Luksch_2007_RHR-HDR_Screenshot.PNG", "type": "image/png", "size": 497211, "path": "Publication:Luksch_2007_RHR", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot:thumb{{size}}.png" }, { "description": "Realtime HDR Rendering( Ogre Wiki", "filetitle": "RealtimeHDR ", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Luksch_2007_RHR-RealtimeHDR .pdf", "type": "application/pdf", "size": 5200434, "path": "Publication:Luksch_2007_RHR", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-RealtimeHDR .pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-RealtimeHDR :thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/", "__class": "Publication" }, { "id": "Mantler-06-landscape", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Landscape Visualization Using GPU Ray Casting", "date": "2006-11", "abstract": "This paper demonstrates the simple yet effective usage of height fields for interactive landscape visualizations using a ray casting approach implemented in the pixel shader of modern graphics cards. The rendering performance is output sensitive, i.e., it scales with\nthe number of pixels rather than the complexity of the landscape. Given a height field of a terrain and a topographic map or similar data as input, the vegetation cover is extracted and stored on top of the height field in a preprocess, enhancing the terrain with forest canopies or other mesostructure. In addition, enhanced illumination models like shadowing and ambient occlusion can be calculated at runtime with reasonable computational cost, which greatly enhances the scene realism. Finally, including the presented technique into existing rendering systems is relatively simple, mainly consisting of data preparation and pixel shader programming.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 480, "name": "Mantler-06-landscape-image.png", "type": "image/png", "size": 568584, "path": "Publication:Mantler-06-landscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 407, 356 ], "booktitle": "Proceedings of Graphite 2006", "date_from": "2006-11-29", "date_to": "2006-12-02", "lecturer": [ 407, 356 ], "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "gpu ray casting" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 640, "image_height": 480, "name": "Mantler-06-landscape-image.png", "type": "image/png", "size": 568584, "path": "Publication:Mantler-06-landscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Mantler-06-landscape-paper.pdf", "type": "application/pdf", "size": 23601326, "path": "Publication:Mantler-06-landscape", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/", "__class": "Publication" }, { "id": "MANTLER-2007-DMBBC", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Displacement Mapped Billboard Clouds", "date": "2007-04", "abstract": "This paper introduces displacement mapped billboard clouds (DMBBC), a new image-based rendering primitive for the fast display of geometrically complex objects at medium to far distances. The representation is based on the well-known billboard cloud (BBC) technique, which represents an object as several textured rectangles in order to dramatically reduce its geometric complexity. Our new method uses boxes instead of rectangles, each box representing a volumetric part of the model. Rendering the contents of a box is done entirely on the GPU using ray casting. DMBBCs will often obviate the need to switch to full geometry for closer distances, which is especially helpful for scenes that are densely populated with complex objects, e.g. for vegetation scenes. We show several ways to store the volumetric information, with different tradeoffs between memory requirements and image quality. In addition we discuss techniques to accelerate the ray casting algorithm, and a way for smoothly switching between DMBBCs for medium distances and BBCs for far distances.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 654, "image_height": 518, "name": "MANTLER-2007-DMBBC-.jpg", "type": "image/jpeg", "size": 109174, "path": "Publication:MANTLER-2007-DMBBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 407, 356, 193 ], "date_from": "2007-04-30", "date_to": "2007-05-02", "event": "Symposium on Interactive 3D Graphics and Games", "research_areas": [ "Rendering" ], "keywords": [ "rendering acceleration", "billboard clouds", "image-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 654, "image_height": 518, "name": "MANTLER-2007-DMBBC-.jpg", "type": "image/jpeg", "size": 109174, "path": "Publication:MANTLER-2007-DMBBC", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-:thumb{{size}}.png" }, { "description": "pdf", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MANTLER-2007-DMBBC-poster.pdf", "type": "application/pdf", "size": 9963258, "path": "Publication:MANTLER-2007-DMBBC", "url": 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"https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/Rudolf_06_IDM-:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/", "__class": "Publication" }, { "id": "Selig_2005_WRO", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Forest Rendering in Ogre", "date": "2005", "abstract": "Efficient implementation of forest rendering in Ogre3D.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "Wald_in_Ogre", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 600, "name": "Selig_2005_WRO-Wald_in_Ogre.jpg", "type": "image/jpeg", "size": 250003, "path": "Publication:Selig_2005_WRO", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 620 ], "supervisor": [ 618, 356, 326 ], "research_areas": [], "keywords": [ "Forest", "Ogre3D" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Wald_in_Ogre", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 800, "image_height": 600, "name": "Selig_2005_WRO-Wald_in_Ogre.jpg", "type": "image/jpeg", "size": 250003, "path": "Publication:Selig_2005_WRO", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/", "__class": "Publication" }, { "id": "Selig-2007-VegAnim", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Vorberechnete interaktive physikalisch-basierte Animation von Vegetation am Beispiel Gras", "date": "2007", "abstract": "In dieser Arbeit wird ein Ansatz zur Simulation der Bewegung von Vegetation (Gräser, Sträucher und Bäumen) vorgestellt. Die Hauptneuerung in diesem Verfahren ist die Trennung der Berechnung der Bewegungen (Präprozess) von der tatsächlichen Durchführung der Animation (Laufzeitsystem). Durch diese Teilung muss der Präprozess nicht in Echtzeit ablaufen, wodurch aufwendigere physikalisch-basierte Berechnungen möglich werden. Der Laufzeitprozess benutzt die vorberechneten Daten, um die Bewegung der Vegetation durchzuführen. Die Visualisierung wird durch Anwendung der Daten auf Billboards umgesetzt.\n\nBeim Präprozess wird besonderes Gewicht auf den modularen Aufbau gelegt, wodurch eine leichte Anpassung an verschiedene Szenarien möglich wird. Der Präprozess gliedert sich in drei Hauptkomponenten. Der erste Bereich ist das parametrisierte 3D-D0L-System zur Erstellung der Vegetation, welche zu Simulationszwecken in Partikelsysteme überführt werden. Der zweite Bereich betrifft die normalverteilte 4D-Perlinnoisestruktur zur Simulation verschieden wirkender Kräfte. Zusammengeführt werden diese beiden Bereiche in einem dynamischen Feder-Dämpfer-Masse-System zur Berechnung der Bewegungsdaten. Die Speicherung erfolgt in einer visuell kontrollierbaren 3D-Textur.\n\nMit dieser Anordnung ist es möglich, realistische Vegetationsbewegungen zu erstellen, aktuelle Probleme des ‚State of the Art’ zu lösen und diese in einer schnell zugreifbaren Datenstruktur für verschiedene Anwendungen zu erhalten.\n", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 620 ], "supervisor": [ 356 ], "research_areas": [], "keywords": [ "Vegetation Animation", "L-Systems" ], "weblinks": [], "files": [ { "description": "Masters thesis", "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Selig-2007-VegAnim-thesis.pdf", "type": "application/pdf", "size": 3281338, "path": "Publication:Selig-2007-VegAnim", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Selig-2007-VegAnim/Selig-2007-VegAnim-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Selig-2007-VegAnim/Selig-2007-VegAnim-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Selig-2007-VegAnim/", "__class": "Publication" }, { "id": "TR-186-2-07-01", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Displacement Mapped Billboard Clouds", "date": "2007-01", "abstract": "This paper introduces displacement mapped billboard clouds (DMBBC), a new image-based rendering primitive for the fast display of geometrically complex objects at medium to far distances.\nThe representation is based on the well-known billboard cloud (BBC) technique, which represents an object as several textured rectangles in order to dramatically reduce its geometric complexity.\nOur new method uses boxes instead of rectangles, each box representing a volumetric part of the model. Rendering the contents of a box is done entirely on the GPU using ray casting. DMBBCs will often obviate the need to switch to full geometry for closer distances, which is especially helpful for scenes that are densely populated with complex objects, e.g. for vegetation scenes. We\nshow several ways to store the volumetric information, with different\ntradeoffs between memory requirements and image quality. In addition we discuss techniques to accelerate the ray casting algorithm, and a way for smoothly switching between DMBBCs for\nmedium distances and BBCs for far distances.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 407, 356, 193 ], "number": "TR-186-2-07-01", "research_areas": [ "Rendering" ], "keywords": [ "rendering acceleration", "billboard clouds", "image-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": true, "access": "public", "preview_image_width": 654, "preview_image_height": 518, "name": "TR-186-2-07-01-paper.pdf", "type": "application/pdf", "size": 7250838, "path": "Publication:TR-186-2-07-01", "preview_name": "TR-186-2-07-01-paper:preview.png", "preview_type": "image/jpeg", "preview_size": 304209, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-01/TR-186-2-07-01-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-01/TR-186-2-07-01-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-01/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/Treelumination", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "GameTools", "workgroup_id": "rend", "drupal_id": 4269, "drupal_path": "/research/projects/GameTools", "name": "GameTools", "name_de": null, "short_title": "GameTools", "website": null, "status": "active", "short_abstract": "The GameTools Project (GTP) researches and implements next generation realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination under C++/DirectX9. Platforms: OGRE for PC and Shark3D middleware for PC & consoles.", "abstract": "Research and creation of next generation Realtime 3D Libraries for Geometry/Plants, Visibility and Global Illumination is the agenda of the EU GameTools Project. The GTP brings together leading computer graphics experts from Austria, France, Hungary and Spain with European industrial partners from the fields of computer game development and virtual reality. The C++/DirectX 9 libraries are being created for the OGRE 3D engine, with videogame console support (Xbox, PS2, Xbox 360, PS3) through the commercial Shark3D middleware engine.\n\nAdditional indurtrial partners can get preliminary access to the techology by becoming members of the GTP Special Interest Group.", "start_date": "2004-10-01", "end_date": "2007-06-30", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", 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"EU U-CREATE", "contract_number": null, "comment": null }, { "id": "GameTools", "contract_number": null, "comment": null }, { "id": "realreflect", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=EU_IST_6th", "__class": "FundingOrganisation" } } ], "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", "ausserer-2026-baa", "balvan-rsf", "beleznai_csaba-2025-pr", "belic_dejan_pr", "bodzenta-2026-baa", "brunner_lukas_2022_ssb", "celarek-2022-gmcn", "clemenz_2019_rosy_fields", "cornel-2022-wih", "csecsy-fcd", "darovskikh_leonid-2025-prj", "deak-a3", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Doerflinger-2016-CDV", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "erler_2024_ppsurf", "erler_philipp-2017-phd", "erler-2020-p2s", "erler-2025-lidarscout", "fitzinger_andreas-daa", "forsythe-2016-ccm", "fraissl_niklas-2023-pra", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "gamsjaeger-2022-proc", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Guerrero-2014-TPS", "hamzic_ademir-baa", "harisch-mvs", "hatzinger-2026-baa", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "ILCIK-phdthesis", "jira_marcel-2024-baa", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "kazda-tmd", "Kellner-2021-DA", "kerbl-2022-trienc", "koeppel-2016-baa", "kohlhas_jakob-2023-pra", "konrad-2020-baa", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "kubicek-2024-baa", "Kugler_2019", "laager_florian-2014-daa", "lang_jakob-2022-baa", "Laschober-2018", "lazarevic-tci", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer-2016-rpe", "leimer-2018-sar", "leutschacher_2025_prj", "loeffelmann-1995-para", "macho_jonas-2024-baa", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-pcp", "marin-2024-sing", "markovich_aleksandar-2022-maa", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "mazza-2012-bakk", "micu_2025-prj", "miklautsch_florian-baa", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2016_sosp", "musialski-2012-sur", "musialski-2013-surcgf", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "neumann-sfd", "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_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-stefan-2012-the", "pakkanen-2026-prj", "pegrisch_2018_uvs", "pichler_2022_fro", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "preiner_2012_AS", "preiner_2017_phd", "Preiner_2019", "preiner2014clop", "proelss-bdp", "prohaska_julia-2023-baa", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "rait_alexius-2021-baa", "REICHHOLF-2023-HRO", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "reinwald-2017-baa", "Reisner_2013_RSB", "riegler_2020_framework", "roth_vdi", "rozanics-lsf", "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", "schrammel_sebastian_baa", "SCHUETZ-2022-PCC", "schuh-2018-mesh-blending", "schulz-faf", "seisenbacher-cyclesafely", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "starnberger-cli", "steiner_2016_isad", "steinheber-2024-oto", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2025-par", "Tobler-1995-AAC", "Tobler-1995-BGD", "tobler02_amrmg", "Traxler-1996-CTB", "trenovatz-lpd", "tumpach_barbara-pra", "unterguggenberger-2021-msh", "Vucenovic_2022", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "Wimmer-1998-SMO", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2016-HARVEST4D", "withalm_brigitte-2022-baa", "wolffhardt-2026-prj", "yoo-chaeran-2025-pr", "zeilinger_matthias-2020-baa", "Zezulka-2024-FTS" ], "projects": [ "3DSpatialization", "d4388", "d9275", "EVOCATION", "GameTools", "Harvest4D", "SCI_BIM", "ShapeAcquisition", "Superhumans", "TERAPOINTS", "WorldScale" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Geometry", "__class": "ResearchArea" }, { "id": "Rendering", "drupal_id": 4134, "name": "Rendering", "short_abstract": "In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.", "abstract": "The rendering of 3D models and scenes has been a major, long-standing challenge in computer graphics that can be divided into two major subfields. Real-time rendering refers to the real-time synthesis of images on commodity graphics hardware to facilitate interaction for visualizations or computer games. The field of physically based rendering focuses on algorithms that accurately simulate the physics of light for use in the movie industry, architectural visualizations, etc. Compared to real-time rendering methods, these algorithms generally require a considerable amount of time (i.e., hours up to days) to generate acceptable results.\n\nIn the context of real-time rendering, our work revolves around the development of algorithms to achieve higher visual quality. Furthermore, we work on techniques to accelerate physically based rendering algorithms to make them viable for interactive rendering. Another aspect of our research work revolves around tools that facilitate the work of content creators.", "website": "https://www.cg.tuwien.ac.at/research/area/Rendering", "teaser": { "name": "teaser.png", "path": "research_area:Rendering", "type": "image/png", "size": 5244928, "orig_name": "teaser.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/research_area/Rendering/teaser:thumb{{size}}.png", "thumb_image_sizes": [ 64, 120, 300 ] }, "workgroups": [ "rend" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "Ams25", "antes-g", "arikan-2014-pcvis", "arikan-2015-dmrt", "Artusi-2003-Del", "ASCHL-2022-OTV", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2015-IST", "bagar2010", "balvan-g", "Bauer_Dominik_2018_VR", "BAUER-2024-PWG", "BAUER-2025-PCW", "bernhard-2011-bmtf", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brandmair-2025-rub", "brugger-2020-tdp", "brugger-2020-tsdpbr", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CHARALAMBOS-2007-HLOD", "charpenay-2014-sgn", "Che-2025", "cline-09-poisson", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "dworschak-2024-aml", "ecormier-nocca-2025-sls", "eichner-2024-erv", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagabani-2025-ieh", "Erhardt_Seirlehner-2024-TamashiiIntegration", "ERLER-2017-HVR", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fink-2012-cg1", "Fischer-2018-sssvr", "FRAISS-2017-PCU", "FRAISS-2022-CGMM", "freude_2020_rs", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "GAMPER-2018-OSG", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "gersthofer_2017_COP", "geyer-2018-apbf", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "gramegna-rfr", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "Groeller_2016_P3", "Grossfurtner-2023-paego", "Gruber2019", "guerrero-2008-sli", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "HAFNER-2015-FEM", "HANN_2022_IPT", "hasbay-2026-tfo", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "hecher-2012-MH", "hecher-2014-MH", "heinz-2019-psi", "hladky-2022-QS", "hofer_kerstin-2023-sketch2model", "horvath_imp", "houska-2020-IPGM", "huber-2025-esl", "huerbe-2019-BA", "intel2016", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "Jeschke-2002-LEMA", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "Jimenez_SSS_2015", "KAFKA-2014-19MRD", "Kathi-2018-VRB", "Keilman2022", "Kellner-2021-DA", "kendlbacher-2016", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "kimmersdorfer-2024-vcpr", "kimmersdorfer-fancyMaps-2023", "KLAUS-2020-PCC", "klein_2019_PHD", "klein_2019_PMP", "klein-2020-rtgi", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2007-ao", "knecht-2011-CBCM", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "KOEPPEL-2025-Nearfield", "Koeppl-2023-DLO", "Komon2022", "Konev-FCV2018", "Kovacs_2017", "kovacs-2025-pf", "KREUZER-2015-DPA", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-ThesisFF", "KROESL-2020-SVI", "kroesl-2020-XREye", "KUE11", "Kugler-2021", "Lan25", "leopold-2019-vox", "Liang-2023-TVR", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "luksch_2020", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "Mazza_2021_05", "Meier_2024_WIALT", "MEINDL-2015-OSR", "metzger-2024-smv", "mindek-2017-marion", "mindek-xmas-card-2016", "murturi_PGG", "muth-2026-clouds", "neumann-2006-gamma", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "panfili-2019-VAVR", "panfili-2021-myop", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "PETER-2023-PSW", "pichler_2022_fro", "pirraku-f", "pistellato-2023-elp", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "preiner_2010_GIPC", "preiner_2017_phd", "preiner11IR", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "probst-2023-para", "prost-2016-molecule", "PROST-2017-RTL", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "radax-2008-ir", "Rainer_2017", "Rait2022", "Reisner_Irene_2013_R3D", "reznicek-2020-fpgaray", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "schedl-2012-dof", "schedl-2013-gP4", "SCHEIBLAUER-2015-WFC", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "SCHOBER-2006-IVSA", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2019-PCC", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuetz-mb", "schwaerzler_2018_phd", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "Semmelrath-2022-IRS", "seyr-2025-lbt", "silvana_2014", "sippl_tobias_2017_WPC", "SIPPL-2017-POS", "sorger-2015-litevis", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "STEINLECHNER-2019-ICT", "STREICHER-2022-DSLS", "STU-SR-25", "Sturn-2013-ST", "Szabo-2018-DA", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "tobler97_hsdasr", "TR 193-02-2019-4", "TR 193-2-2019-4", "TR-186-2-02-04", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "traxler-1997-TRA", "Tucek_2018", "Tucek_Tom-2016-aai", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2024-fropo", "VASCO-2019-EVR", "wagner-2024-par", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weinzierl_heigl-2017-wh14", "werdermann-va", "WESSNER-2019-PCW", "wiesinger_2020_odpr", "wiesinger-2023-gcg", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-VCCG", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "Win25", "winklmueller-2025-ims", "wonka-2000-VisP", "Wonka-2001-Ins", "WONKA-2006-GVS", "x-mas-2013", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "zotti-2005-lum", "zotti-2006-pla", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "projects": [ "3DSpatialization", "d9259", "d9275", "d9555", "Desiree", "EVOCATION", "GameTools", "GPV", "Harvest4D", "Mofa", "OpenData", "PathSpace", "REPLICATE", "RESHADE", "Scanopy", "TERAPOINTS", "Treelumination" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=ResearchArea&id=Rendering", "__class": "ResearchArea" } ], "publications": [ { "id": "bittner-2005-egsr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast Exact From-Region Visibility in Urban Scenes", "date": "2005-06", "abstract": "We present a fast exact from-region visibility algorithm for 2.5D\nurban scenes. The algorithm uses a hierarchical subdivision of\nline-space for identifying visibility interactions in a 2D\nfootprint of the scene. Visibility in the remaining vertical\ndimension is resolved by testing for the existence of lines\nstabbing sequences of virtual portals. Our results show that exact\nanalytic from-region visibility in urban scenes can be computed at\ntimes comparable or even superior to recent conservative methods. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1179, "image_height": 962, "name": "bittner-2005-egsr-image.jpg", "type": "image/jpeg", "size": 44941, "path": "Publication:bittner-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 198, 194, 193 ], "booktitle": "Rendering Techniques 2005 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2005-06-29", "date_to": "2005-07-01", "editor": "Kavita Bala and Philip Dutré", "isbn": "3-905673-23-1", "lecturer": [ 198 ], "location": "Konstanz, Germany", "organization": "Eurographics", "pages_from": "223", "pages_to": "230", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "visibility" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1179, "image_height": 962, "name": "bittner-2005-egsr-image.jpg", "type": "image/jpeg", "size": 44941, "path": "Publication:bittner-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bittner-2005-egsr-Paper.pdf", "type": "application/pdf", "size": 3449376, "path": "Publication:bittner-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz", "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/", "__class": "Publication" }, { "id": "CHARALAMBOS-2007-HLOD", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Optimized HLOD Refinement Driven by Hardware Occlusion Queries", "date": "2007-11", "abstract": "We present a new method for integrating hierarchical levels of detail (HLOD) with occlusion culling. The algorithm refines the HLOD hierarchy using geometric criteria as well as the occlusion information. For the refinement we use a simple model which takes into account the possible distribution of the visible pixels. The traversal of the HLOD hierarchy is optimized by a new algorithm which uses spatial and temporal coherence of visibility. We predict the HLOD refinement condition for the current frame based on the results from the last frame. This allows an efficient update of the front of termination nodes as well as an efficient scheduling of hardware occlusion queries. Compared to previous approaches, the new method improves on speed as well as image quality. The results indicate that the method is very close to the optimal scheduling of occlusion queries for driving the HLOD refinement.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 624, "image_height": 457, "name": "CHARALAMBOS-2007-HLOD-.png", "type": "image/png", "size": 8177, "path": "Publication:CHARALAMBOS-2007-HLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 621, 198, 193, 686 ], "booktitle": "Advances in Visual Computing (Third International Symposium on Visual Computing -- ISVC 2007)", "date_from": "2007-11-26", "date_to": "2007-11-28", "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Paragios, N.; Tanveer, S.-M.; Ju, T.; Liu, Z.; Coquillart, S.; Cruz-Neira, C.; Möller, T.; Malzbender, T.", "isbn": "978-3-540-76855-9", "lecturer": [ 621 ], "location": "Lake Tahoe, Nevada/California", "pages_from": "106", "pages_to": "117", "publisher": "Springer", "series": "Lecture Notes in Computer Science, volume 4841", "research_areas": [ "Rendering" ], "keywords": [ "occlusion queries", "levels of detail", "occlusion culling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 624, "image_height": 457, "name": "CHARALAMBOS-2007-HLOD-.png", "type": "image/png", "size": 8177, "path": "Publication:CHARALAMBOS-2007-HLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CHARALAMBOS-2007-HLOD-Preprint.pdf", "type": "application/pdf", "size": 1524313, "path": "Publication:CHARALAMBOS-2007-HLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-Preprint:thumb{{size}}.png" }, { "description": "Video for the paper", "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 720, "preview_image_height": 576, "name": "CHARALAMBOS-2007-HLOD-video.avi", "type": "video/x-msvideo", "size": 46642670, "path": "Publication:CHARALAMBOS-2007-HLOD", "preview_name": "CHARALAMBOS-2007-HLOD-video:preview.png", "preview_type": "image/jpeg", "preview_size": 8215, "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-video:video.mp4" }, { "description": "Visualization of the error metric", "filetitle": "vis", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2553, "image_height": 1381, "name": "CHARALAMBOS-2007-HLOD-vis.png", "type": "image/png", "size": 885003, "path": "Publication:CHARALAMBOS-2007-HLOD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-vis.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-vis:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/", "__class": "Publication" }, { "id": "CHIU-2008-PEN", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Penta G - A Game Engine for Real-Time Rendering Research", "date": "2008-06", "abstract": "Scientifc research often necessitates the usage of middleware for proof-of-concept implementations. In computer graphics, rendering engines are a type of middleware used for such a purpose. For real-time rendering, however, rendering engines often do not provide all functionality that is required, as in real-time, a certain degree of user interactivity aside from graphics is necessary, or can be the center of research. Furthermore, some modern research also explores interactivity with non-visual perceptual channels such as audio. Full game engines provide that functionality, however most state-of- the-art game engines are only available through expensive or exclusive licenses, or are completely unavailable for scientifc research.\r\n\r\nThis thesis presents the design, implementation and adaptation process of a state-of-the-art game engine that was tailored specifcally for research purposes. This game engine includes all the necessary components to build real-time-interactive computer graphics applications and has been used in several research projects such as the EU GameTools Project and the EU Crossmod Project.\r\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "CHIU-2008-PEN-thumbnail.bmp", "type": "image/x-ms-bmp", "size": 2359350, "path": "Publication:CHIU-2008-PEN", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 733 ], "diploma_examina": "2008-06-10", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "CHIU-2008-PEN-thesis.pdf", "type": "application/pdf", "size": 19729894, "path": "Publication:CHIU-2008-PEN", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thesis:thumb{{size}}.png" }, { "description": "", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1024, "image_height": 768, "name": "CHIU-2008-PEN-thumbnail.bmp", "type": "image/x-ms-bmp", "size": 2359350, "path": "Publication:CHIU-2008-PEN", "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail.bmp", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/", "__class": "Publication" }, { "id": "GIEGL-2006-QVS", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Queried Virtual Shadow Maps", "date": "2006-12", "abstract": "In this article we present a new real-time shadow mapping algorithm capable of\nshadowing large scenes by virtually increasing the resolution of the shadow map\nbeyond the GPU hardware limit. We start with a brute force approach that uniformly\nincreases the resolution of the whole shadow map. We then introduce a smarter version\nwhich greatly increases runtime performance while still being GPU-friendly.\nThe algorithm contains an easy to use performance/quality-tradeoff parameter, making\nit tunable to a wide range of graphics hardware.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 990, "image_height": 856, "name": "GIEGL-2006-QVS-.png", "type": "image/png", "size": 184648, "path": "Publication:GIEGL-2006-QVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 402, 193 ], "booktitle": "ShaderX 5 -- Advanced Rendering Techniques", "editor": "Wolfgang Engel", "isbn": "1-58450-499-4", "pages_from": "249", "pages_to": "262", "publisher": "Charles River Media", "series": "ShaderX", "volume": "5", "research_areas": [ "Rendering" ], "keywords": [ "shadows", "shadow mapping", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 990, "image_height": 856, "name": "GIEGL-2006-QVS-.png", "type": "image/png", "size": 184648, "path": "Publication:GIEGL-2006-QVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/", "__class": "Publication" }, { "id": "GIEGL-2007-FVS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fitted Virtual Shadow Maps", "date": "2007-05", "abstract": "Too little shadow map resolution and resulting undersampling artifacts, perspective and projection aliasing, have long been a fundamental problem of shadowing scenes with shadow mapping.\n\nWe present a new smart, real-time shadow mapping algorithm that virtually increases the resolution of the shadow map beyond the GPU hardware limit where needed. We first sample the scene from the eye-point on the GPU to get the needed shadow map resolution in different parts of the scene. We then process the resulting data on the CPU and finally arrive at a hierarchical grid structure, which we traverse in kd-tree fashion, shadowing the scene with shadow map tiles where needed.\n\nShadow quality can be traded for speed through an intuitive parameter, with a homogeneous quality reduction in the whole scene, down to normal shadow mapping. This allows the algorithm to be used on a wide range of hardware.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 976, "image_height": 938, "name": "GIEGL-2007-FVS-.png", "type": "image/png", "size": 804604, "path": "Publication:GIEGL-2007-FVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 402, 193 ], "booktitle": "Proceedings of Graphics Interface 2007", "date_from": "2007-05-28", "date_to": "2007-05-30", "editor": "Christopher G. Healey and Edward Lank", "isbn": "978-1-56881-337-0", "lecturer": [ 402 ], "location": "Montreal, Canada", "pages_from": "159", "pages_to": "168", "publisher": "Canadian Human-Computer Communications Society", "research_areas": [ "Rendering" ], "keywords": [ "real-time shadowing", "shadows", "shadow maps", "large environemnts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 976, "image_height": 938, "name": "GIEGL-2007-FVS-.png", "type": "image/png", "size": 804604, "path": "Publication:GIEGL-2007-FVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GIEGL-2007-FVS-Preprint.pdf", "type": "application/pdf", "size": 5719113, "path": "Publication:GIEGL-2007-FVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-Preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/", "__class": "Publication" }, { "id": "GIEGL-2007-QV1", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Queried Virtual Shadow Maps", "date": "2007-04", "abstract": "Shadowing scenes by shadow mapping has long suffered from the fundamental problem of undersampling artifacts due to too low shadow map resolution, leading to so-called perspective and projection aliasing.\n\nIn this paper we present a new real-time shadow mapping algorithm capable of shadowing large scenes by virtually increasing the resolution of the shadow map beyond the GPU hardware limit.\n\nWe start with a brute force approach that uniformly increases the resolution of the whole shadow map. We then introduce a smarter version which greatly increases runtime performance while still being GPU-friendly. The algorithm contains an easy to use performance/quality-tradeoff parameter, making it tunable to a wide range of graphics hardware.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 894, "image_height": 348, "name": "GIEGL-2007-QV1-.jpg", "type": "image/jpeg", "size": 91003, "path": "Publication:GIEGL-2007-QV1", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 402, 193 ], "address": "New York, NY, USA", "booktitle": "Proceedings of ACM SIGGRAPH 2007 Symposium on Interactive 3D Graphics and Games", "date_from": "2007-04-30", "date_to": "2007-05-02", "isbn": "978-1-59593-628-8", "lecturer": [ 618 ], "location": "Seattle, WA", "pages_from": "65", "pages_to": "72", "publisher": "ACM Press", "research_areas": [ "Rendering" ], "keywords": [ "shadow maps", "shadows", "real-time shadowing", "large environemnts" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 894, "image_height": 348, "name": "GIEGL-2007-QV1-.jpg", "type": "image/jpeg", "size": 91003, "path": "Publication:GIEGL-2007-QV1", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-:thumb{{size}}.png" }, { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GIEGL-2007-QV1-Preprint.pdf", "type": "application/pdf", "size": 8511263, "path": "Publication:GIEGL-2007-QV1", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-Preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/", "__class": "Publication" }, { "id": "GIEGL-2007-UNP", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Unpopping: Solving the Image-Space Blend Problem for Smooth Discrete LOD Transitions", "date": "2007-03", "abstract": "This paper presents a new, simple and practical algorithm to avoid artifacts when switching between discrete levels of detail (LOD) by smoothly blending LOD representations in image space. We analyze the alternatives of conventional alpha-blending and so-called late-switching (the switching of LODs markusquote{far enough} from the eye-point), widely thought to solve the LOD switching discontinuity problem, and conclude that they either do not work in practice, or defeat the concept of LODs. In contrast we show that our algorithm produces visually pleasing blends for static and animated discrete LODs, for discrete LODs with different types of LOD representations (e.g. billboards and meshes) and even to some extent totally different objects with similar spatial extent, with a very small runtime overhead.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Unpopping", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1181, "image_height": 351, "name": "GIEGL-2007-UNP-Unpopping.png", "type": "image/png", "size": 37823, "path": "Publication:GIEGL-2007-UNP", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 402, 193 ], "issn": "0167-7055", "journal": "Computer Graphics Forum", "number": "1", "pages_from": "46", "pages_to": "49", "volume": "26", "research_areas": [ "Rendering" ], "keywords": [ "popping", "LOD switching", "levels of detail", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "GIEGL-2007-UNP-Preprint.pdf", "type": "application/pdf", "size": 142827, "path": "Publication:GIEGL-2007-UNP", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "Unpopping", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1181, "image_height": 351, "name": "GIEGL-2007-UNP-Unpopping.png", "type": "image/png", "size": 37823, "path": "Publication:GIEGL-2007-UNP", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/", "__class": "Publication" }, { "id": "havran-2005-egsr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Ray Maps for Global Illumination", "date": "2005", "abstract": "We describe a novel data structure for representing light transport called ray map. The ray map extends the concept\nof photon maps: it stores not only photon impacts but the whole photon paths. We demonstrate the utility of ray\nmaps for global illumination by eliminating boundary bias and reducing topological bias of density estimation in\nglobal illumination. Thanks to the elimination of boundary bias we could use ray maps for fast direct visualization\nwith the image quality being close to that obtained by the expensive nal gathering step. We describe in detail our\nimplementation of the ray map using a lazily constructed kD-tree. We also present several optimizations bringing\nthe ray map query performance close to the performance of the photon map.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 685, "image_height": 738, "name": "havran-2005-egsr-image.jpg", "type": "image/jpeg", "size": 67354, "path": "Publication:havran-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 203, 198, 576, 312 ], "booktitle": "Eurographics Symposium on Rendering", "pages_from": "43", "pages_to": "54", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 685, "image_height": 738, "name": "havran-2005-egsr-image.jpg", "type": "image/jpeg", "size": 67354, "path": "Publication:havran-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "havran-2005-egsr-Paper.pdf", "type": "application/pdf", "size": 4262551, "path": "Publication:havran-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/", "__class": "Publication" }, { "id": "havran-2006-tut", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Efficient Sorting and Searching in Rendering Algorithms", "date": "2006", "abstract": "In this tutorial we would like to highlight the connection between rendering algorithms and sorting\nand searching as classical problems studied in computer science. We will provide both theoretical and\nempirical evidence that for many rendering techniques most time is spent by sorting and searching. In\nparticular we will discuss problems and solutions for visibility computation, density estimation, and importance\nsampling. For each problem we mention its specific issues such as dimensionality of the search\ndomain or online versus offline searching. We will present the underlying data structures and their enhancements\nin the context of specific rendering algorithms such as ray shooting, photon mapping, and hidden\nsurface removal.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 351, "image_height": 218, "name": "havran-2006-tut-image.png", "type": "image/png", "size": 1945, "path": "Publication:havran-2006-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 203, 198 ], "event": "Eurographics 2006 Tutorial T4", "research_areas": [ "Rendering" ], "keywords": [ "Visibility", "Sorting and Searching", "Rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 351, "image_height": 218, "name": "havran-2006-tut-image.png", "type": "image/png", "size": 1945, "path": "Publication:havran-2006-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image:thumb{{size}}.png" }, { "description": "Tutorial slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "havran-2006-tut-slides.pdf", "type": "application/pdf", "size": 4029552, "path": "Publication:havran-2006-tut", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-slides:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/", "__class": "Publication" }, { "id": "jeschke-05-AIP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Automatic Impostor Placement for Guaranteed Frame Rates and Low Memory Requirements", "date": "2005-04", "abstract": "Impostors are image-based primitives commonly used to replace complex geometry in order to reduce the rendering time needed for displaying complex scenes. However, a big problem is the huge amount of memory required for impostors. \nThis paper presents an algorithm that automatically places impostors into a scene so that a desired frame rate and\nimage quality is always met, while at the same time not requiring enormous amounts of impostor memory. The low memory requirements are provided by a new placement method and through the simultaneous use of other acceleration techniques like visibility culling and geometric levels of detail.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 949, "image_height": 361, "name": "jeschke-05-AIP-image.jpg", "type": "image/jpeg", "size": 90640, "path": "Publication:jeschke-05-AIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193, 357, 190 ], "booktitle": "Proceedings of ACM SIGGRAPH 2005 Symposium on Interactive 3D Graphics and Games", "date_from": "2005-04-03", "date_to": "2005-04-06", "isbn": "1-59593-013-2", "lecturer": [ 356 ], "location": "Washington DC", "organization": "ACM", "pages_from": "103", "pages_to": "110", "publisher": "ACM Press", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 949, "image_height": 361, "name": "jeschke-05-AIP-image.jpg", "type": "image/jpeg", "size": 90640, "path": "Publication:jeschke-05-AIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "jeschke-05-AIP-Paper.pdf", "type": "application/pdf", "size": 1153371, "path": "Publication:jeschke-05-AIP", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Paper:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "jeschke-05-AIP-Video.mpg", "type": "video/mpv", "size": 47809988, "path": "Publication:jeschke-05-AIP", "preview_name": "jeschke-05-AIP-Video:preview.png", "preview_type": "image/jpeg", "preview_size": 5347, "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video.mpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video:video.mp4" } ], "projects_workgroups": [ "Treelumination", "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/", "__class": "Publication" }, { "id": "MATTAUSCH-2006-AVC", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Adaptive Visibility-Driven View Cell Construction", "date": "2006-06", "abstract": "We present a new method for the automatic partitioning of view space into a multi-level view cell hierarchy. We use a cost-based model in order to minimize the average rendering time. Unlike previous methods, our model\ntakes into account the actual visibility in the scene, and the partition is not restricted to planes given by the scene geometry. We show that the resulting view cell hierarchy works for different types of scenes and gives lower average rendering time than previously used methods.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 788, "image_height": 652, "name": "MATTAUSCH-2006-AVC-.png", "type": "image/png", "size": 12026, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326, 198, 193 ], "booktitle": "Rendering Techniques 2006 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2006-06-26", "date_to": "2006-06-28", "editor": "Wolfgang Heidrich and Tomas Akenine-Moller", "isbn": "3-90567-335-5", "lecturer": [ 326 ], "location": "Nicosia, Cyprus", "organization": "Eurographics", "pages_from": "195", "pages_to": "206", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "view cells", "real-time rendering", "visibility" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 788, "image_height": 652, "name": "MATTAUSCH-2006-AVC-.png", "type": "image/png", "size": 12026, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-:thumb{{size}}.png" }, { "description": "render cost (bsp)", "filetitle": "image-viewcells-bsp", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 869, "image_height": 710, "name": "MATTAUSCH-2006-AVC-image-viewcells-bsp.png", "type": "image/png", "size": 15680, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-bsp.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-bsp:thumb{{size}}.png" }, { "description": "render cost (our method)", "filetitle": "image-viewcells-vsp", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 869, "image_height": 709, "name": "MATTAUSCH-2006-AVC-image-viewcells-vsp.png", "type": "image/png", "size": 17096, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-vsp.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-vsp:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "MATTAUSCH-2006-AVC-paper.pdf", "type": "application/pdf", "size": 1642808, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "MATTAUSCH-2006-AVC-slides.ppt", "type": "application/msword", "size": 4604928, "path": "Publication:MATTAUSCH-2006-AVC", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/", "__class": "Publication" }, { "id": "mattausch-2007-iav", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "1.\tAdaptive Visibility-Driven View Cell Construction", "date": "2007", "abstract": "We present a new method for the automatic partitioning of view space into a multi-level view cell hierarchy. We use a cost-based model in order to minimize the average rendering time. Unlike previous methods, our model\ntakes into account the actual visibility in the scene, and the partition is not restricted to planes given by the scene geometry. We show that the resulting view cell hierarchy works for different types of scenes and gives lower average rendering time than previously used methods.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326 ], "date_from": "2007-12", "event": "Konversatorium", "location": "Prague University of Technology", "research_areas": [ "Rendering" ], "keywords": [ "visibiility", "view cells" ], "weblinks": [], "files": [], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/mattausch-2007-iav/", "__class": "Publication" }, { "id": "MATTAUSCH-2007-OSP", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Optimized Subdivisions for Preprocessed Visibility", "date": "2007-05", "abstract": "This paper describes a new tool for preprocessed visibility. It puts together view space and object space partitioning in order to control the render cost and memory cost of the visibility description generated by a visibility solver. The presented method progressively refines view space and object space subdivisions while minimizing the associated render and memory costs. Contrary to previous techniques, both subdivisions are driven by actual visibility information. We show that treating view space and object space together provides a powerful method for controlling the efficiency of the resulting visibility data structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 735, "image_height": 880, "name": "MATTAUSCH-2007-OSP-.png", "type": "image/png", "size": 210985, "path": "Publication:MATTAUSCH-2007-OSP", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 326, 198, 194, 193 ], "booktitle": "Proceedings of Graphics Interface 2007", "date_from": "2007-05-28", "date_to": "2007-05-30", "editor": "Christopher G. 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The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. An optimal viewpoint is estimated by a novel information-theoretic framework\r\nwhich is based on mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance\r\ndistribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on\r\nfeatures that are normally occluded by other parts of the volume, the focusing also incorporates cut-away views.", "authors_et_al": false, "substitute": "vis-foa", "main_image": { "description": "hand - arteria ulnaris", "filetitle": "image2", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "TR-186-2-06-02-image2.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "research_areas": [], "keywords": [ "optimal viewpoint estimation", "interacting with volumetric datasets", "volume visualization", "illustrative visualization", "focus+context techniques" ], "weblinks": [], "files": [ { "description": "hand - 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bones", "filetitle": "image5", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 240, "image_height": 232, "name": "TR-186-2-06-02-image5.jpg", "type": "image/jpeg", "size": 28184, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image5.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image5:thumb{{size}}.png" }, { "description": "torso - intestine", "filetitle": "image6", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 202, "image_height": 298, "name": "TR-186-2-06-02-image6.jpg", "type": "image/jpeg", "size": 24789, "path": "Publication:TR-186-2-06-02", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image6.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image6:thumb{{size}}.png" }, { "description": "torso - 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The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "vis-foa-jpg.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 171, 608, 207, 166 ], "journal": "IEEE Transactions on Visualization and Computer Graphics", "lecturer": [ 171 ], "number": "5", "pages_from": "933", "pages_to": "940", "volume": "12", "research_areas": [], "keywords": [ "illustrative visualization", "interacting with volumetric datasets", "optimal viewpoint estimation", "focus+context techniques", "volume visualization" ], "weblinks": [], "files": [ { "description": "video", "filetitle": "avi", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vis-foa-avi.avi", "type": "", "size": 29168640, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-avi.avi", "thumb_image_sizes": [] }, { "description": "image", "filetitle": "jpg", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 578, "image_height": 406, "name": "vis-foa-jpg.jpg", "type": "image/jpeg", "size": 54181, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png" }, { "description": "paper", "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "vis-foa-pdf.pdf", "type": "application/pdf", "size": 585521, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf:thumb{{size}}.png" }, { "description": "slides", "filetitle": "ppt", "main_file": false, "use_in_gallery": false, "access": "public", "name": "vis-foa-ppt.zip", "type": "application/x-zip", "size": 10090882, "path": "Publication:vis-foa", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-ppt.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "GameTools", "exvisation" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/", "__class": "Publication" }, { "id": "Wimmer-2005-HOQ", "type_id": "inbook", "tu_id": null, "repositum_id": null, "title": "Hardware Occlusion Queries Made Useful", "date": "2005-03", "abstract": "Hardware occlusion queries make it possible for an application to ask the 3D API whether or not any pixels would be drawn if a particular object was rendered. With this feature, applications can check to see whether or not the bounding boxes of complex objects are visible; if the bounds are occluded, the application\ncan skip drawing those objects. In this chapter, we present a simple and powerful algorithm to solve the problem of latency and CPU/GPU stall typically associated with a naive usage of hardware occlusion queries.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1390, "name": "Wimmer-2005-HOQ-image.jpg", "type": "image/jpeg", "size": 719597, "path": "Publication:Wimmer-2005-HOQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 198 ], "booktitle": "GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation", "editor": "Matt Pharr and Randima Fernando", "isbn": "0-32133-559-7", "pages_from": "91", "pages_to": "108", "publisher": "Addison-Wesley", "research_areas": [ "Rendering" ], "keywords": [ "occlusion culling", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1920, "image_height": 1390, "name": "Wimmer-2005-HOQ-image.jpg", "type": "image/jpeg", "size": 719597, "path": "Publication:Wimmer-2005-HOQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image:thumb{{size}}.png" } ], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/", "__class": "Publication" }, { "id": "WIMMER-2006-PSM", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Practical Shadow Mapping", "date": "2006", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2006-08-21", "date_to": "2006-08-23", "event": "Games Convention Developers Conference 2006", "location": "Leipzig, Germany", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-PSM/", "__class": "Publication" }, { "id": "WIMMER-2006-SIV", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Sampling in Visibility", "date": "2006", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2006-06-29", "date_to": "2006-06-30", "event": "Ayia Napa Summer Seminar on Recent Results in Rendering and Modeling in Computer Graphics", "location": "Aiya Napa, Cyprus", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-SIV/", "__class": "Publication" }, { "id": "WIMMER-2007-GAR", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Gametools: Advanced Rendering Effects for Next-Gen Engines", "date": "2007", "abstract": "The GameTools Project is an EU project from the 6th Framework Programme that brings together leading European computer graphics experts from universities in Austria, France, Hungary and Spain with European industrial partners from the fields of computer game development and virtual reality to create next generation real-time 3D libraries for Geometry, Visibility and Global Illumination for the PC platform, with an extension to consoles PS2, XBox, PS3, XBox 360 planned.\n\nWith the project now completed after 3 years, this talk will introduce you to the advanced technology available partly as Open Source, partly under licensing. The project comprises technologies such as continuous multiresolution models for animated characters, massive tree rendering, robust PVS generation for visiblity determination of arbitrarily large game levels, and real-time global illumination effects such as soft shadows, real-time radiosity, caustics, cloud rendering, and many more.\n\nThe effects created in the GameTools project are available as plugins that can be incorporated into any game engine, and are demonstrated with the Open Source Ogre engine.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193 ], "date_from": "2007-08-20", "date_to": "2007-08-22", "event": "Games Convention Developers Conference 2007", "location": "Leipzig, Germany", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-GAR/", "__class": "Publication" }, { "id": "WONKA-2006-GVS", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Guided Visibility Sampling", "date": "2006-07", "abstract": "This paper addresses the problem of computing the triangles visible\nfrom a region in space. The proposed aggressive visibility solution\nis based on stochastic ray shooting and can take any triangular\nmodel as input. We do not rely on connectivity information,\nvolumetric occluders, or the availability of large occluders, and\ncan therefore process any given input scene. The proposed algorithm\nis practically memoryless, thereby alleviating the large memory\nconsumption problems prevalent in several previous algorithms. The\nstrategy of our algorithm is to use ray mutations in ray space to\ncast rays that are likely to sample new triangles. Our algorithm\nimproves the sampling efficiency of previous work by over two orders\nof magnitude.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 661, "image_height": 467, "name": "WONKA-2006-GVS-.png", "type": "image/png", "size": 93562, "path": "Publication:WONKA-2006-GVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 194, 193, 609, 228, 205, 610 ], "date_from": "2006-07-30", "date_to": "2006-08-04", "doi": "10.1145/1141911.1141914", "event": "ACM SIGGRAPH 2006", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 194, 193 ], "location": "Boston, USA", "note": "Proceedings ACM SIGGRAPH 2006", "number": "3", "pages_from": "494", "pages_to": "502", "volume": "25", "research_areas": [ "Rendering" ], "keywords": [ "visibility", "visibility sampling", "occlusion culling", "PVS" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 661, "image_height": 467, "name": "WONKA-2006-GVS-.png", "type": "image/png", "size": 93562, "path": "Publication:WONKA-2006-GVS", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-:thumb{{size}}.png" }, { "description": "Preprint", "filetitle": "Preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WONKA-2006-GVS-Preprint.pdf", "type": "application/pdf", 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"Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "MARG", "workgroup_id": "rend", "drupal_id": 4271, "drupal_path": "/research/projects/MARG", "name": "Mobile Augmented Reality-Museumsführer", "name_de": null, "short_title": "MARG", "website": null, "status": "active", "short_abstract": "This project aims at the creation and real-world deployment of a handheld computer guide for museum visitors, based on Augmented Reality.
\r\n", "abstract": "This project aims at the creation and real-world deployment of a handheld computer guide for museum visitors, based on Augmented Reality.
\r\n", "start_date": "2005-02-01", "end_date": "2007-01-31", "leader_id": { "id": 190, "drupal_id": 196, "orcid_id": "0000-0003-2516-7467", "website": "https://www.cg.tuwien.ac.at/staff/WernerPurgathofer", "firstname": "Werner", "lastname": "Purgathofer", "searchname": "Werner Purgathofer", "is_teacher": false, "name": "Werner Purgathofer", "publications": [ "artusi-2006-sut", "barth-1981-benutzer", "barth-1981-high", "barth-1981-schalt", "barth-1982-graph", "barth-1982-high", "barth-1982-impl", "barth-1982-neues", "barth-1982-prog", "barth-1983-anw", "barth-1983-devel", "barth-1983-handb", "barth-1984-ber", "barth-1984-ident", "barth-1984-pascal", "barth-1988-konz", "barth-1988-pict", "Bittner-2004-CHC", "brunnhuber-2010-behavior-handicapped", "Brusi-2001-Opt", "clauer-1986-aust", "clauer-1988-austr", "Devlin-2002-STA", "Eibner-12", "eibner-2009-gpc", "elias-1994-mont", "elias-1995-view", "Faisst-2000-VPRR", "Faisstnauer-1999-Pri", "Faisstnauer-2000-Pri", "Faisstnauer-2000-Prio", "Faisstnauer-2000-Sch", "Faisstnauer-2001-Con", "Faisstnauer-2001-Sch", "feda-1991-prog", "feda-1992-acce", "feda-1993-prog", "feda-1994-eff", "feda-1994-med", "ferschin-1992-real", "ferschin-1994-comp", "Fuhr-1999-Cal", "Fuhrmann-1999-Fas", "Fuhrmann-2000-Pra", "Gan-2011-ICU", "gavrilescu-2009-postrend", "gervautz-1988-entw", "gervautz-1988-riss", "gervautz-1988-simpl", "gervautz-1989-real", "gervautz-1989-using", "gervautz-1990-syn", "gervautz-1991-real", "griessmair-1989-def1", "groeller-1988-using", "groeller-1991-temp", "groeller-1993-coh", "groeller-1993-eff", "Groeller-1995-CCG", "Havran-2000-Com", "Havran-2000-SCR", "Havran-2003-Onc", "havran-2005-sccg", "heinzl-1987-unsch", "Hes-1999-", "Hesina-1999-Dis", "Hey-1999-Laz", "Hey-2001-Glo", "Hey-2001-Imp", "Hey-2001-ImpX", "Hey-2001-Occ", "Hey-2001-Rea", "Hey-2001-ReaX", "Hey-2002-Adv", "Hladuvka-2000-CTF", "ilcik-2010-ps", "jeschke-05-AIP", "jeschke-05-ISTAR", "kanitsar-2002-Chr", "knecht_martin_2010_DIR", "knecht-2011-CBCM", "Kopp-1994-EMF", "Kopp-1997-MRM", "Kopp-1998-IDD", "Kopp-1998-Int", "Kresimir-1997-ILMCG", "Kresimir-1997-STMT", "Leiss-1998-Rad", "leopold-2007", "loeffelmann-1996-CVA", "loeffelmann-1996-SVM", "Mantler-2011-GEAR", "Mastal-1998-Rad", "Mastal-1999-Rad", "Mastal-1999-Radi", "Mastal-1999-RadX", "matkovic-2002-visual", "matkovic-2004-tang", "matkovic-2005-glo", "matkovic-2010-eventlineview", "Matkovic-2014-ieee", "meseth-2004-hqr", "musialski-2009-sbfr", "musialski-2010-imv", "musialski-2010-tof", "musialski-2012-sur", "musialski-2013-surcgf", "neumann-1994-new", "Neumann-1994-SRM", "neumann-1995-anew", "Neumann-1995-SRM", "neumann-1995-the", "Neumann-1996-AEC", "Neumann-1997-PBCID", "Neumann-1998-Aut", "Neumann-1998-Inc", "Neumann-1998-Per", "Neumann-1998-Perc", "Neumann-1998-The", "neumann-2002-globcon", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "Prikryl-1999-PDT", "Prikryl-1999-PDTX", "Prikryl-1999-Per", "Prikryl-2000-Imp", "Purg2015-a", "Purg2015-b", "Purg2015-c", "Purg2015-China", "Purg2015-d", "Purgathofer_2012_IVA", "Purgathofer_2014_AOR", "purgathofer_2016I1", "purgathofer-1980-ausgabe", "purgathofer-1983-ausb", "purgathofer-1983-stud", "purgathofer-1984-conc", "purgathofer-1984-iden", "purgathofer-1985-allg", "purgathofer-1985-graph", "purgathofer-1985-meth", "purgathofer-1986-dith", "purgathofer-1986-erw", "purgathofer-1986-modula", "purgathofer-1986-real", "purgathofer-1986-stat", "purgathofer-1986-stoch", "purgathofer-1987-ident", "purgathofer-1987-schatt", "purgathofer-1987-stat", "purgathofer-1988-dis", "purgathofer-1988-gest", "purgathofer-1988-opt", "purgathofer-1988-real", "purgathofer-1988-simple", "purgathofer-1988-using", "purgathofer-1988-vis", "purgathofer-1988-was", "purgathofer-1989-adv", "purgathofer-1989-comp", "purgathofer-1989-image", "purgathofer-1990-conf", "purgathofer-1990-dar", "purgathofer-1990-fast", "purgathofer-1990-para", "purgathofer-1990-real", "purgathofer-1992-fast", "purgathofer-1992-rad", "purgathofer-1992-real", "purgathofer-1992-schatt", "purgathofer-1993-coh", "purgathofer-1993-csg", "purgathofer-1993-monte", "purgathofer-1993-the", "Purgathofer-1994-CPI", "purgathofer-1994-for", "Purgathofer-1994-FRD", "purgathofer-1994-rad", "purgathofer-1995-csg", "purgathofer-1995-gen", "purgathofer-1995-imp", "Purgathofer-1997-SNT", "Purgathofer-1998-Sel", "Purgathofer-1999-Gra", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "purgathofer-2005-ca", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "PURGATHOFER-2006-IHB", "Purgathofer-2006-VRVis", "purgathofer-2008-cgi", "purgathofer-2008-jsc", "purgathofer-2008-tai", "purgathofer-2008-vrvis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2010-Trends", "Purgathofer-2010-VisComp", "Purgathofer-2013-cvws", "Purgathofer-2013-fhg", "Purgathofer-2014-ETH", "Purgathofer-2014-EurasiaGr", "Purgathofer-2014-LSM", "Purgathofer-2014-PanEu", 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"GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "Skydome", "workgroup_id": "rend", "drupal_id": 4273, "drupal_path": "/research/projects/Skydome", "name": "Skydome", "name_de": null, "short_title": "Skydome", "website": null, "status": "active", "short_abstract": "The aim of the Skydome Project is the improvement of day skylight models.
\r\n", "abstract": "The aim of the Skydome Project is the improvement of day skylight models.
\r\n", "start_date": "2005-01-01", "end_date": "2006-12-31", "leader_id": { "id": 192, "drupal_id": 375, "orcid_id": "0000-0002-3536-6577", "website": "https://www.cg.tuwien.ac.at/staff/AlexanderWilkie", "firstname": "Alexander", "lastname": "Wilkie", "searchname": "Alexander Wilkie", "is_teacher": true, "name": "Alexander Wilkie", "publications": [ "Artusi-2001-Col", "Artusi-2001-NTD", "Artusi-2002-NRE", "Artusi-2002-NRT", "Artusi-2003-Col", "Artusi-2003-Del", "Devlin-2002-STA", "meseth-2004-hqr", "PURGATHOFER-2006-IHB", "Tobler-1996-HSA", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "ulbricht-2005-VOP", "ulbricht-2006-VOP", "ulbricht-2006apw", "weidlich_2007_almfs", "weidlich_2007_rrbuc", "weidlich_2008_magwpt", "weidlich_2009_EPLBM", "weidlich_2009_REL", "weidlich-2009-dispersion", "Wilkie-1997-PRL", "Wilkie-1998-Ase", "Wilkie-1998-Pho", "Wilkie-1999-ASp", "wilkie-1999-ORI", "Wilkie-2000-Ray", "Wilkie-2001-Com", "wilkie-2001-crp", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2005-sco", "wilkie-2006-dfs", "wilkie-2009-cc", "wilkie-209.pr", "Wilkie-thesis", "xmas-1997", "xmas-1998", "xmas-2002", "xmas-2003", "zotti-2006-pla", "zotti-2007-wscg" ], "publications_first": [], "project_leader": [ "Skydome" ], "publication_field": [ { "publ_id": "Artusi-thesis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "subtil-2006-disp", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Ulbricht-2007-thesis", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "weidlich-2009-thesis", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "Wilkie-2004-AMS", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "wilkie-2005-sco", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "wilkie-2009-cc", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "zotti-2007-PhD", "field_id": "supervisor", "ordernum": 1 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=192", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:Skydome", "type": "image/png", "size": 21323, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/Skydome/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "fwf", "contract_number": null, "comment": null, "funding_organisation": { "id": "fwf", "drupal_id": 4142, "name": "FWF", "logo": { "name": "logo.png", "type": "image/png", "size": 971, "orig_name": "logo.png", "path": "FundingOrganisation:fwf", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/fwf/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "AngioVis", "contract_number": "P 15217", "comment": null }, { "id": "Desiree", "contract_number": "P20768-N13", "comment": null }, { "id": "deskollage", "contract_number": "T 752-N30", "comment": null }, { "id": "exvisation", "contract_number": "P 18322-N04", "comment": null }, { "id": "GPV", "contract_number": "P21130-N13", "comment": null }, { "id": "Illustrare", "contract_number": "I 2953-N31", "comment": null }, { "id": "INTRA-SPACE", "contract_number": null, "comment": null }, { "id": "KASI", "contract_number": "TRP 67-N23", "comment": null }, { "id": "MAKE-IT-FAB", "contract_number": "P27972-N31", "comment": null }, { "id": "MARG", "contract_number": null, "comment": null }, { "id": "Mofa", "contract_number": "P23700-N23", "comment": null }, { "id": "OpenData", "contract_number": "ORD 61", "comment": null }, { "id": "PAMINA", "contract_number": "P24600-N23", "comment": null }, { "id": "PathSpace", "contract_number": "P27974", "comment": null }, { "id": "Photo-Guide", "contract_number": "P23237-N23", "comment": null }, { "id": "PVG", "contract_number": "P 18547-N04", "comment": null }, { "id": "Semantic Steering", "contract_number": "P 22542-N23", "comment": null }, { "id": "ShapeAcquisition", "contract_number": "P24600-N23", "comment": null }, { "id": "Skydome", "contract_number": null, "comment": null }, { "id": "Superhumans", "contract_number": "P32418-N31", "comment": "332.780,70 €" }, { "id": "Treelumination", "contract_number": "P17261-N04", "comment": null }, { "id": "UrbanViz", "contract_number": null, "comment": null }, { "id": "ViMaL", "contract_number": "P 21695-N23", "comment": null }, { "id": "VISAR", "contract_number": "P 24597-N23", "comment": null }, { "id": "Visual Computing", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=fwf", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "daubner-2007-HDR", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "HDR Capturing Tool for Canon EOS Digital SLRs", "date": "2007", "abstract": "This camera remote control program for MS Windows can be used to take time-triggered series of photographs with different exposure times to be later combined into HDR (high dynamic range) images. Works with Canon EOS 1D (several models), 20D, 5D, 350D. ", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 671 ], "supervisor": [ 222 ], "research_areas": [], "keywords": [ "Canon EOS Digital SLR", "Remote Control", "Software", "High Dynamic Range" ], "weblinks": [], "files": [ { "description": "Software and Documentation", "filetitle": "canonHDRcapture", "main_file": false, "use_in_gallery": false, "access": "public", "name": "daubner-2007-HDR-canonHDRcapture.zip", "type": "application/x-zip", "size": 2557394, "path": "Publication:daubner-2007-HDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/daubner-2007-HDR-canonHDRcapture.zip", "thumb_image_sizes": [] }, { "description": "", "filetitle": "User Manual", "main_file": true, "use_in_gallery": false, "access": "public", "name": "daubner-2007-HDR-User Manual.pdf", "type": "application/pdf", "size": 96376, "path": "Publication:daubner-2007-HDR", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/daubner-2007-HDR-User Manual.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/daubner-2007-HDR-User Manual:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/", "__class": "Publication" }, { "id": "Wilkie-2004-AMS", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "An Analytical Model for Skylight Polarisation", "date": "2004-06", "abstract": "Under certain circumstances the polarisation state of the illumination can have a significant influence on the appearance of scenes; outdoor scenes with specular surfaces -- such as water bodies or windows -- under clear, blue skies are good examples of such environments. In cases like that it can be essential to use a polarising renderer if a true prediction of nature is intended, but so far no polarising skylight models have been presented.\n \nThis paper presents a plausible analytical model for the polarisation of the light emitted from a clear sky. Our approach is based on a suitable combination of several components with well-known characteristics, and yields acceptable results in considerably less time than an exhaustive simulation of the underlying atmospheric scattering phenomena would require.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 640, "name": "Wilkie-2004-AMS-image.jpg", "type": "image/jpeg", "size": 231746, "path": "Publication:Wilkie-2004-AMS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 192, 216, 225, 222, 190 ], "booktitle": "Proceedings of the Eurographics Symposium on Rendering", "editor": "Alexander Keller and Henrik Wann Jensen ", "isbn": "3-905673-12-6", "lecturer": [ 192 ], "pages_from": "387", "pages_to": "399", "publisher": "?", "research_areas": [ "Rendering" ], "keywords": [ "skylight rendering", "polarisation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wilkie-2004-AMS-.pdf", "type": "application/pdf", "size": 8088113, "path": "Publication:Wilkie-2004-AMS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 480, "image_height": 640, "name": "Wilkie-2004-AMS-image.jpg", "type": "image/jpeg", "size": 231746, "path": "Publication:Wilkie-2004-AMS", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/", "__class": "Publication" }, { "id": "wilkie-2006-dfs", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Reflectance Model for Diffuse Fluorescent Surfaces", "date": "2006-11", "abstract": "Fluorescence is an interesting and visually prominent effect, which has not been fully covered by Computer Graphics research so far.\n\nWhile the physical phenomenon of fluorescence has been addressed in isolation, the actual reflection behaviour of real fluorescent surfaces has never been documented, and no analytical BRDF models for such surfaces have been published yet.\n\nThis paper aims to illustrate the reflection properties typical for diffuse fluorescent surfaces, and provides a BRDF model based on a layered microfacet approach that mimics them.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "wilkie-2006-dfs-.pdf", "type": "application/pdf", "size": 529813, "path": "Publication:wilkie-2006-dfs", "preview_name": "wilkie-2006-dfs-:preview.png", "preview_type": "image/jpeg", "preview_size": 96433, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 192, 567, 593, 190 ], "booktitle": "Proceedings of Graphite 2006", "date_from": "2006-11-29", "date_to": "2006-12-02", "isbn": "1-59593-564-9", "location": "Kuala Lumpur, Malaysia", "pages": "8", "pages_from": "321", "pages_to": "328", "research_areas": [ "Rendering" ], "keywords": [ "Fluorescence", "Analytical BRDF models" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 640, "preview_image_height": 480, "name": "wilkie-2006-dfs-.pdf", "type": "application/pdf", "size": 529813, "path": "Publication:wilkie-2006-dfs", "preview_name": "wilkie-2006-dfs-:preview.png", "preview_type": "image/jpeg", "preview_size": 96433, "url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/", "__class": "Publication" }, { "id": "Zotti-2005-vis", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Sky Dome Visualisation for Identification of Astronomical Orientations", "date": "2005-10", "abstract": " It has long been known that ancient temples were frequently oriented along the cardinal directions or to certain points along the horizon where Sun or Moon rise or set on special days of the year. In the last decades, archaeologists have found evidence of even older building structures buried in the soil, with doorways that also appear to have distinct orientations.\n\n This paper presents a novel diagram combining archaeological maps with a folded-apart, flattened view of the whole sky, showing the local horizon and the daily paths of sun, moon and brighter stars. By use of this diagram, interesting groupings of astronomical orientation directions, e.g. to certain sunrise and sunset points could be identified, which were evidently used to mark certain days\n of the year. Orientations to a few significant stars very likely indicated the beginning of the agricultural year in the middle\n neolithic period.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1115, "image_height": 748, "name": "Zotti-2005-vis-image.jpg", "type": "image/jpeg", "size": 61513, "path": "Publication:Zotti-2005-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 166 ], "booktitle": "Proceedings IEEE Symposium on Information Visualization", "date_from": "2005-10-23", "date_to": "2005-10-25", "editor": "John Stasko and Matt Ward", "isbn": "0-7803-9464-X", "location": "Minneapolis", "pages_from": "9", "pages_to": "16", "publisher": "IEEE", "research_areas": [], "keywords": [ "data mining", "Astronomy", "Archaeology" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Zotti-2005-vis-.pdf", "type": "application/pdf", "size": 5527986, "path": "Publication:Zotti-2005-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1115, "image_height": 748, "name": "Zotti-2005-vis-image.jpg", "type": "image/jpeg", "size": 61513, "path": "Publication:Zotti-2005-vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/", "__class": "Publication" }, { "id": "zotti-2006-dgm", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "A Sky Dome Visualisation for Identification of Astronomical Orientations", "date": "2006", "abstract": "It has long been known that ancient temples were frequently oriented\n along the cardinal directions or to certain points along the horizon\n where the Sun or the Moon rises or sets on special days of the year. In the\n last decades, archaeologists have found evidence of even older\n building structures buried in the soil, with doorways that also\n appear to have distinct orientations.\n\n This paper presents a novel diagram combining archaeological maps\n with a folded-apart, flattened view of the whole sky, showing the\n local horizon and the daily paths of the Sun, Moon and brighter stars.\n By use of this diagram, interesting groupings of astronomical\n orientation directions, e.g. to certain sunrise and sunset points\n could be identified, which were evidently used to mark certain days\n of the year. Orientations towards rising and setting points of a few\n significant stars very likely indicated the beginning of the\n agricultural year in the middle neolithic period.", "authors_et_al": false, "substitute": null, "main_image": { "description": "This diagram combines an archaeological map (center) with horizon data (black irregular ring) and sky data for the archaeological site. Possible astronomical alignments can immediately be recognized.", "filetitle": "Steinabrunn Stone Age Sky", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 1200, "name": "zotti-2006-dgm-Steinabrunn Stone Age Sky.png", "type": "image/png", "size": 110600, "path": "Publication:zotti-2006-dgm", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222 ], "issn": "1473-8716", "journal": "Information Visualization", "number": "5", "pages_from": "152", "pages_to": "166", "volume": "2006", "research_areas": [], "keywords": [ "data mining", "astronomy", "archaeology" ], "weblinks": [], "files": [ { "description": "(The journal paper in its final form is not available. This is a PDF with the same content.)", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "zotti-2006-dgm-.pdf", "type": "application/pdf", "size": 9177816, "path": "Publication:zotti-2006-dgm", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-:thumb{{size}}.png" }, { "description": "This diagram combines an archaeological map (center) with horizon data (black irregular ring) and sky data for the archaeological site. Possible astronomical alignments can immediately be recognized.", "filetitle": "Steinabrunn Stone Age Sky", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1200, "image_height": 1200, "name": "zotti-2006-dgm-Steinabrunn Stone Age Sky.png", "type": "image/png", "size": 110600, "path": "Publication:zotti-2006-dgm", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/", "__class": "Publication" }, { "id": "zotti-2006-pla", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Using Virtual Reconstructions in a Planetarium for Demonstrations in Archaeo-Astronomy", "date": "2006-11", "abstract": "In the last decades, archaeologists in central Europe have found\n traces of enigmatic neolithic circular building structures buried in\n the soil. Recent studies indicate that the orientation of many of their\n doorways may have been chosen with an astronomical background in mind.\n\n This paper explains the use of virtual reconstructions of these\n buildings from archaeological data, in combination with a simulation\n of the sky of that time in a Planetarium, to present the\n astronomical findings to the public.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Steinabrunn Sunrise", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 240, "name": "zotti-2006-pla-Steinabrunn Sunrise.jpg", "type": "image/jpeg", "size": 22360, "path": "Publication:zotti-2006-pla", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 192, 190 ], "booktitle": "Third Central European Multimedia and Virtual Reality Conference (Proc. CEMVRC2006)", "date_from": "2006-11-06", "date_to": "2006-11-08", "editor": "Cecilia Sik Lanyi ", "isbn": "963-9495-89-1", "lecturer": [ 222 ], "location": "Eger", "pages_from": "43", "pages_to": "51", "publisher": "Pannonian University Press", "research_areas": [ "Modeling", "Rendering" ], "keywords": [ "Virtual Reality", "Public Dissemination", "Archaeo-Astronomy" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "zotti-2006-pla-.pdf", "type": "application/pdf", "size": 5254135, "path": "Publication:zotti-2006-pla", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-:thumb{{size}}.png" }, { "description": null, "filetitle": "Steinabrunn Sunrise", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 240, "name": "zotti-2006-pla-Steinabrunn Sunrise.jpg", "type": "image/jpeg", "size": 22360, "path": "Publication:zotti-2006-pla", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/", "__class": "Publication" }, { "id": "zotti-2007-hdr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Measuring Light Pollution with a Calibrated High Dynamic Range All-Sky Image Acquisition System", "date": "2007-10", "abstract": "Combining series of exposures with different exposure times made with a digital SLR camera and a fish-eye lens allow to create high-resolution images that contain the full dynamic\nrange of daylight, including the Sun, usable as scene background and for skylight illumination computation purposes. These High Dynamic Range (HDR) images can also be calibrated with a luminance meter, so the image\ndata contain meaningful values, and the system becomes a measuring device. At night, long-time exposures can be combined, and the setup, once fine-calibrated with a Sky Quality\nMeter or another low-level light measuring device, becomes a valuable tool to provide absolute values of sky brightness. Using data from\nthe astronomical literature, false-colour plots of sky luminance can be created that closely match visual estimation of visible stellar magnitudes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222 ], "address": "Bled", "booktitle": "DARKSKY2007 - 7th European Symposium for the Protection of the Night Sky", "date_from": "2007-10-05", "date_to": "2007-10-06", "editor": "Andrej Mohar", "lecturer": [ 222 ], "location": "Bled", "research_areas": [], "keywords": [ "HDR imaging", "Light Pollution", "Skylight" ], "weblinks": [], "files": [ { "description": "", "filetitle": "Paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "zotti-2007-hdr-Paper.pdf", "type": "application/pdf", "size": 3126570, "path": "Publication:zotti-2007-hdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Paper:thumb{{size}}.png" }, { "description": "", "filetitle": "Presentation", "main_file": false, "use_in_gallery": false, "access": "public", "name": "zotti-2007-hdr-Presentation.pdf", "type": "application/pdf", "size": 1097068, "path": "Publication:zotti-2007-hdr", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Presentation.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Presentation:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/", "__class": "Publication" }, { "id": "zotti-2007-PhD", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Computer Graphics in Historical and Modern Sky Observations", "date": "2007", "abstract": "This work describes work done in three areas of research where sky observations meet\ncomputer graphics. The whole topic covers several millennia of human history\nand posed combined challenges from fields including archaeology, astronomy,\ncultural heritage, digital image processing and computer graphics.\n\nThe first part presents interdisciplinary work done in the fields of\narchaeo-astronomy, visualisation and virtual reconstruction. A novel diagram\nhas been developed which provides an intuitive, easy visualisation to\ninvestigate archaeological survey maps for evidence of astronomically\nmotivated orientation of buildings. This visualisation was developed and first\napplied to a certain class of neolithic circular structures in Lower Austria\nin order to investigate the idea of solar orientation of access doorways.\nThis diagram and its intuitive interpretation allowed the author to set up a new\nhypothesis about practical astronomical activities in the middle neolithic\nperiod in central Europe.\n\nHow virtual reconstructions of these buildings characteristic for a short time\nduring the neolithic epoch can be combined with the excellent sky simulation\nof a modern planetarium to communicate these results to a broader audience is\ndescribed thereafter.\n\nThe second part of this work describes a certain class of historical scientific\ninstruments for sky observations and its reconstruction with methods of\ncomputer graphics.\nLong after the stone age, in the Middle Ages, the astrolabe was the most celebrated\ninstrument for celestial observations and has been explained in contemporary\nliterature, usually with the help of precomputed tables for a certain size or\nkind of instrument. Today, historical exhibitions frequently present one of\nthese instruments, but its various applications are hard to explain to the\ngeneral audience without hands-on demonstration.\nFor this challenge from the cultural heritage domain,\nan approach using the idea of procedural modelling is presented. Here, a\ncomputer graphics model is not statically drawn but specified by parametrised\nplotting functions, which can then be repeatedly executed with different\nparameters to create the final model. This approach is demonstrated to provide\na very flexible solution which can immediately be applied to specific needs\njust by tweaking a few parameters, instead of having to repetitively draw the whole model manually.\nFrom the two-dimensional procedural model, 3D models can be easily created,\nand even the production of wooden instruments on a Laser engraver/plotter is\ndemonstrated.\n\nThe third and longest part deals with methods of sky simulation and rendering\nin the domain of computer graphics. In this discipline, modelling of skylight\nand atmospheric effects has developed tremendously over the last two decades,\nwhich is covered by an extensive survey of literature from the computer\ngraphics and also atmosphere physics domains.\n\nThe requirements of physically correct or at least plausible rendering include\nrealistic values for sky brightness. Measurements performed with a luminance\nmeter on a clear sky in order to verify the currently most widely used\nanalytic skylight model [Preetham 1999] shows however its limited\napplicability.\n\nThere are two classical groups of clear-sky models: numerical simulations of\nscattering in the atmosphere, and fast analytical models. Recently, another\nmethod for more realistic looking skylight models has been developed: digital\nimages taken with a fisheye lens are combined into high dynamic range images\nwhich can be used for scene illumination and as sky background. These\nimages can be calibrated by photometric measurements of absolute luminance\nvalues. Long-time exposures allow to apply this system to quantitative\ninvestigations of sky brightness, sky colours, and also nocturnal light pollution by artificial\nillumination. Results and other applications of the system are described, and\nthe pipeline for creating such images is described in the appendix.\n\nThis work closes with some notes of future directions of research.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222 ], "date_end": "2007-11", "date_start": "2005-01", "supervisor": [ 190, 192 ], "research_areas": [ "Rendering" ], "keywords": [ "Astrolabe", "Archaeo-Astronomy", "Skydome Visualisation", "Cultural Heritage", "Sky Measurements" ], "weblinks": [], "files": [ { "description": null, "filetitle": "pdf", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zotti-2007-PhD-pdf.pdf", "type": "application/pdf", "size": 54148272, "path": "Publication:zotti-2007-PhD", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-PhD/zotti-2007-PhD-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-PhD/zotti-2007-PhD-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-PhD/", "__class": "Publication" }, { "id": "zotti-2007-wscg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "A Critical Review of the Preetham Skylight Model", "date": "2007-01", "abstract": "The Preetham skylight model is currently one of the most widely used\n analytic models of skylight luminance in computer graphics.\n Despite its widespread use, very little work has been carried out to verify the results generated by the model, both in terms of the luminance patterns it generates, and in terms of numerical reliability and stability.\n\nWe have implemented the model in Mathematica, visualise and discuss those parameter ranges which exhibit problematic behaviour, and compare the computed luminance values with references from literature, especially the 15 standard skylight distributions of the CIE 2003 Standard General Sky.\n\nWe also performed luminance measurements on real cloudless skies, and compare these measurements to the predictions of the model.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 694, "image_height": 556, "name": "zotti-2007-wscg-image.png", "type": "image/png", "size": 12841, "path": "Publication:zotti-2007-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 192, 190 ], "booktitle": "WSCG ", "date_from": "2007-01-29", "date_to": "2007-02-01", "editor": "Vaclav Skala", "isbn": "978-80-86943-02-2", "lecturer": [ 222 ], "location": "Plzen", "pages_from": "23", "pages_to": "30", "publisher": "University of West Bohemia", "research_areas": [ "Rendering" ], "keywords": [ "Verification", "Skylight" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 694, "image_height": 556, "name": "zotti-2007-wscg-image.png", "type": "image/png", "size": 12841, "path": "Publication:zotti-2007-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "zotti-2007-wscg-paper.pdf", "type": "application/pdf", "size": 1608608, "path": "Publication:zotti-2007-wscg", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "Skydome" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/Skydome", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", "d9259", "d9493", "d9691", "Desiree", "EU U-CREATE", "EU Virtual Showcases", "EVOCATION", "GameTools", "GAMEWORLD", "GPV", "Harvest4D", "INTRA-SPACE", "Landspotting", "MAKE-IT-FAB", "MARG", "Mofa", "OpenData", "PAMINA", "PathSpace", "Photo-Guide", "realreflect", "REPLICATE", "RESHADE", "Scanopy", "SCI_BIM", "ShapeAcquisition", "Skydome", "Superhumans", "TERAPOINTS", "Treelumination", "UrbanViz", "Visual Computing", "Wohnen 4.0", "WorldScale" ], "research_areas": [ "Fabrication", "Geometry", "Modeling", "Perception", "Rendering", "VR" ], "publications": [ "2011scherzerE", "2018_Mautner_Praktikum", "ABG25", "ADORJAN-2013-ASE", "Adorjan-2015", "agyemang-2021-bsdfproxyppg", "aichner-2016-sadf", "akan-vf", "albillos-2013-MA", "Ams25", "antes-2026-maa", "antes-g", "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "arikan-thesis", "Arleo-2019-vis", "Artusi-2001-Col", "Artusi-2003-CCG", "Artusi-2003-Col", "Artusi-2003-Del", "ASCHL-2022-OTV", "AUER-2010-PPT3D", "ausserer-2026-baa", "Auzinger_2012_AAA", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", 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"zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "realreflect", "workgroup_id": "rend", "drupal_id": 4275, "drupal_path": "/research/projects/realreflect", "name": "RealReflect", "name_de": null, "short_title": "realreflect", "website": null, "status": "active", "short_abstract": "The RealReflect project is an endeavour to increase the realism of Virtual Reality technology to levels where it can be used for meaningful qualitative reviews of virtual prototypes and scenes.", "abstract": "The RealReflect project is an endeavour to increase the realism of Virtual Reality technology to levels where it can be used for meaningful qualitative reviews of virtual prototypes and scenes. This has not been possible so far, and would be of considerable benefit to those VR user groups - such as the automotive industry or architecture - who routinely have to take important design decisions about object appearance long before the actual product is first assembled.", "start_date": "2002-04-01", "end_date": "2005-11-30", "leader_id": { "id": 222, "drupal_id": 324, "orcid_id": "0000-0002-8152-0408", "website": "https://www.cg.tuwien.ac.at/staff/GeorgZotti", "firstname": "Georg", "lastname": "Zotti", "searchname": "Georg Zotti", "is_teacher": false, "name": "Georg Zotti", "publications": [ "beck-2007-melk", "dataset-strauss", "gzotti-2005-krU", "havran-2005-sccg", "kastowski-2005-kat", "meseth-2004-hqr", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "Wilkie-2004-AMS", "xmas-2002", "zotti-2001-dip", "Zotti-2003-AMP", "zotti-2003-ash", "zotti-2004-stein", "zotti-2004-stone", "zotti-2005-AiD", "zotti-2005-kat", "zotti-2005-lum", "zotti-2005-NHM", "zotti-2005-ntt", "Zotti-2005-vis", "zotti-2006-archaeo", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP" ], "publications_first": [], "project_leader": [ "realreflect" ], "publication_field": [ { "publ_id": "BORZA-2012-Stellarium", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "daubner-2007-HDR", "field_id": "supervisor", "ordernum": 0 }, { "publ_id": "PARZER-2010-STELL", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "SCHAUKOWITSCH-2015-REMOTE", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "SCHAUKOWITSCH-2015-STELL", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "VOELKL-2013-RTRS", "field_id": "supervisor", "ordernum": 1 }, { "publ_id": "zotti-2003-ash", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "zotti-2006-pla", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "zotti-2007-eg", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "zotti-2007-hdr", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "zotti-2007-wscg", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ZOTTI-2016-VAA", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ZOTTI-2017-BM", "field_id": "lecturer", "ordernum": 0 }, { "publ_id": "ZOTTI-2017-TSP", "field_id": "lecturer", "ordernum": 0 } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Author&id=222", "__class": "Author" }, "logo": { "name": "logo.png", "path": "project:realreflect", "type": "image/png", "size": 2067, "orig_name": "logo.png", "thumb_url": "https://www.cg.tuwien.ac.at/research/projects/realreflect/logo:thumb{{size}}.png", "thumb_image_sizes": [ 120, 300 ] }, "funding_organisations": [ { "id": "EU_IST_6th", "contract_number": null, "comment": null, "funding_organisation": { "id": "EU_IST_6th", "drupal_id": 4139, "name": "EU IST - 6th Framework Program", "logo": { "name": "logo.png", "type": "image/png", "size": 2550, "orig_name": "logo.png", "path": "FundingOrganisation:EU_IST_6th", "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/funding/EU_IST_6th/logo:thumb{{size}}.png", "thumb_image_sizes": [ 32, 64 ] }, "projects": [ { "id": "CROSSMOD", "contract_number": null, "comment": null }, { "id": "EU U-CREATE", "contract_number": null, "comment": null }, { "id": "GameTools", "contract_number": null, "comment": null }, { "id": "realreflect", "contract_number": null, "comment": null } ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=FundingOrganisation&id=EU_IST_6th", "__class": "FundingOrganisation" } } ], "research_areas": [], "publications": [ { "id": "Artusi-2003-Del", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Delivering Interactivity to Complex Tone Mapping Operators", "date": "2003-06", "abstract": "The accurate display of high dynamic range images requires the application of complex tone mapping operators. These operators are computationally costly, which prevents their usage in interactive applications. We propose a general framework that delivers interactive performance to an important subclass of tone mapping operators, namely global tone mapping operators. The proposed framework consists of four steps: sampling the input image, applying the tone mapping operator, tting the point-sampled tone mapping curve, and reconstructing the tone mapping curve for all pixels of the input image. We show how to make use of recent graphics hardware while keeping the advantage of generality by performing tone mapping in software. We demonstrate the capabilities of our method by accelerating several common global tone mapping operators and integrating the operators in a real-time rendering application.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 768, "name": "Artusi-2003-Del-image.jpg", "type": "image/jpeg", "size": 140358, "path": "Publication:Artusi-2003-Del", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 191, 198, 193, 192 ], "booktitle": "Rendering Techniques 2003 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2003-06-25", "date_to": "2003-06-27", "editor": "Per Christensen and Daniel Cohen-Or", "isbn": "3-905673-03-7", "lecturer": [ 191 ], "location": "Leuven, Belgium", "organization": "Eurographics", "pages_from": "38", "pages_to": "44", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 512, "image_height": 768, "name": "Artusi-2003-Del-image.jpg", "type": "image/jpeg", "size": 140358, "path": "Publication:Artusi-2003-Del", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Artusi-2003-Del-Paper.pdf", "type": "application/pdf", "size": 16156109, "path": "Publication:Artusi-2003-Del", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/", "__class": "Publication" }, { "id": "Devlin-2002-STA", "type_id": "otherreviewed", "tu_id": null, "repositum_id": null, "title": "STAR Report on Tone Reproduction and Physically Based Spectral Rendering", "date": "2002", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 304, 305, 192, 190 ], "booktitle": "Eurographics 2002", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Devlin-2002-STA/", "__class": "Publication" }, { "id": "havran-2005-sccg", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "On Cross-Validation and Resampling of BRDF Data Measurements", "date": "2005-05", "abstract": "We discuss the validation of BTF data measurements by means used for\nBRDF measurements. First, we show how to apply the Helmholtz reciprocity\nand isotropy for a single data set. Second, we discuss a\ncross-validation for BRDF measurement data obtained from two different\nmeasurement setups, where the measurements are not calibrated or the\nlevel of accuracy is not known. We show the practical problems\nencountered and the solutions we have used to validate physical setup\nfor four material samples. We describe a novel coordinate system\nsuitable for resampling the BRDF data from one data set to another\ndata set. Further, we show how the perceptually uniform color space\nCIELab is used for cross-comparison of BRDF data measurements, which\nwere not calibrated.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 913, "image_height": 743, "name": "havran-2005-sccg-image.jpg", "type": "image/jpeg", "size": 84962, "path": "Publication:havran-2005-sccg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 203, 232, 222, 190, 312 ], "booktitle": "Proceedings SCCG 2005", "date_from": "2005-05-12", "date_to": "2005-05-14", "lecturer": [ 203 ], "location": "Budmerice, Slovakia", "pages_from": "161", "pages_to": "168", "research_areas": [ "Rendering" ], "keywords": [ "reflectance function", "BRDF data acquisition", "BRDF data validation", "predictive rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "havran-2005-sccg-.pdf", "type": "application/pdf", "size": 2250090, "path": "Publication:havran-2005-sccg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 913, "image_height": 743, "name": "havran-2005-sccg-image.jpg", "type": "image/jpeg", "size": 84962, "path": "Publication:havran-2005-sccg", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/", "__class": "Publication" }, { "id": "Neum03CAMR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Color Appearance in \nMultispectral Radiosity", "date": "2003-05", "abstract": "", "authors_et_al": false, "substitute": "Neum03CAMR", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 177, 457, 232, 207 ], "booktitle": "Proceedings on 2^nd Computer Graphics and Geometry Conference", "pages_from": "194", "pages_to": "183", "research_areas": [], "keywords": [ "Color Appearance", "Color System", "Multispectral Radiosity", "Coloroid" ], "weblinks": [], "files": [], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Neum03CAMR/", "__class": "Publication" }, { "id": "Neum04GCM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Gamut Clipping and Mapping based on Coloroid System", "date": "2004", "abstract": "The paper presents novel techniques based on the Coloroid color system which hitherto has not been applied to gamut mapping. The introduced methods described are hue preserving and use three gravity centers in a hue-dependent way. Two of the gravity centers are shifted toward the direction of negative saturation, and can be used for regions of bright and dark colors, while a third gravity center is used for saturated colors. \r\nAfter a short survey of gamut mapping an introduction to the Coloroid describes concisely its features and formulas. Then a simple color clipping rule is presented applicable to any rendering applications. A gamut mapping method will be defined mapping from a generic input image to an RGB display. Other variations of the method describe RGB-CYMK transformation and also cross-media mapping for known input and output gamut boundaries. \r\nThe introduced methods apply hue and chroma dependent lightness compression. They can be applied in realistic computer graphics and digital photography as well as in printing technologies. They are straightforward to implement and have low computational costs.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 600, "name": "Neum04GCM-image.jpg", "type": "image/jpeg", "size": 93650, "path": "Publication:Neum04GCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 177, 232 ], "booktitle": "Proceedings of Second European Conference on Colour in Graphics, Imaging and Vision", "pages_from": "548", "pages_to": "555", "research_areas": [], "keywords": [ "Coloroid Color System", "Gamut Clipping", "Gamut Mapping", "Human Perception" ], "weblinks": [], "files": [ { "description": null, "filetitle": "Gamut Clipping and Mapping", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neum04GCM-Gamut Clipping and Mapping.pdf", "type": "application/pdf", "size": 434136, "path": "Publication:Neum04GCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-Gamut Clipping and Mapping.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-Gamut Clipping and Mapping:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 600, "image_height": 600, "name": "Neum04GCM-image.jpg", "type": "image/jpeg", "size": 93650, "path": "Publication:Neum04GCM", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/", "__class": "Publication" }, { "id": "neumann-2004-aip", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "aIPBMfCoDD", "date": "2004", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 232 ], "date_from": "2004-01-15", "event": "?", "location": "San Jose", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "slides", "main_file": true, "use_in_gallery": false, "access": "public", "name": "neumann-2004-aip-slides.ppt", "type": "application/msword", "size": 524800, "path": "Publication:neumann-2004-aip", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-aip/neumann-2004-aip-slides.ppt", "thumb_image_sizes": [] } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-aip/", "__class": "Publication" }, { "id": "Neumann-2004-HOB", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Human Observation Based Generalized Gamma Functions", "date": "2004-12", "abstract": "This paper describes an accurate method to obtain the\nTone Reproduction Curve (TRC) of display devices without using\na measurement device. It is an improvement of an existing technique\nbased on human observation, solving its problem of numerical instability\nand resulting in functions in log--log scale which correspond better\nto the nature of display devices.\nWe demonstrate the effiency of our technique on different monitor\ntechnologies, comparing it with direct measurements using a\nspectrophotometer.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neumann-2004-HOB-.pdf", "type": "application/pdf", "size": 205123, "path": "Publication:Neumann-2004-HOB", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 232, 191, 177, 222, 190 ], "number": "TR-186-2-04-13", "research_areas": [], "keywords": [ "Display Measurement", "Human Visual System", "Spatial Vision" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Neumann-2004-HOB-.pdf", "type": "application/pdf", "size": 205123, "path": "Publication:Neumann-2004-HOB", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/", "__class": "Publication" }, { "id": "neumann-2004-ipm", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Interactive Perception Based Model for Characterization of Display device", "date": "2004-01", "abstract": "This paper describes a simple to use, yet accurate way to obtain the Tone Reproduction Curve (TRC) of display devices without the use of a measurement device. Human vision is used to compare a series of dithered color patches against interactively changeable homogeneously colored display areas. Results comparing this method with spectrophotometer measurements are given for three monitors.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 300, "name": "neumann-2004-ipm-image.jpg", "type": "image/jpeg", "size": 8374, "path": "Publication:neumann-2004-ipm", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 232, 191, 222, 177, 190 ], "booktitle": "Color Imaging IX: Processing, Hardcopy, and Applications IX", "isbn": "0819451967", "location": "San Jose, California, USA", "organization": "IST&SPIE", "research_areas": [], "keywords": [ "Display Measurement", "Human Visual System" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 300, "image_height": 300, "name": "neumann-2004-ipm-image.jpg", "type": "image/jpeg", "size": 8374, "path": "Publication:neumann-2004-ipm", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Interactive Perception Based Display Characterization", "main_file": true, "use_in_gallery": false, "access": "public", "name": "neumann-2004-ipm-Interactive Perception Based Display Characterization.pdf", "type": "application/pdf", "size": 479599, "path": "Publication:neumann-2004-ipm", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-Interactive Perception Based Display Characterization.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-Interactive Perception Based Display Characterization:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/", "__class": "Publication" }, { "id": "neumann-2006-gamma", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Accurate Display Gamma Functions based on Human Observation", "date": "2007", "abstract": "This paper describes an accurate method to obtain the\nTone Reproduction Curve (TRC) of display devices without using\na measurement device. It is an improvement of an existing technique\nbased on human observation, solving its problem of numerical instability\nand resulting in functions in log--log scale which correspond better\nto the nature of display devices.\nWe demonstrate the effiency of our technique on different monitor\ntechnologies, comparing it with direct measurements using a\nspectrophotometer.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 280, "name": "neumann-2006-gamma-image.png", "type": "image/png", "size": 6781, "path": "Publication:neumann-2006-gamma", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 232, 191, 177, 222, 190 ], "issn": "0361-2317", "journal": "Color Research & Applications", "note": "2006 angenommen, 2007 erschienen", "number": "4", "pages_from": "310", "pages_to": "319", "volume": "32", "research_areas": [ "Rendering" ], "keywords": [ "Generalized Gamma Function", "Colour Reproduction", "Display Measurement", "Human Visual System", "Spatial Vision" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 300, "image_height": 280, "name": "neumann-2006-gamma-image.png", "type": "image/png", "size": 6781, "path": "Publication:neumann-2006-gamma", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "neumann-2006-gamma-paper.pdf", "type": "application/pdf", "size": 457864, "path": "Publication:neumann-2006-gamma", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/", "__class": "Publication" }, { "id": "Roch2006", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "Hardware Acceleration of a detail-preserving Tonemapping Algorithm", "date": "2006", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Roch2006-.pdf", "type": "application/pdf", "size": 1376841, "path": "Publication:Roch2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 598 ], "supervisor": [ 191 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Roch2006-.pdf", "type": "application/pdf", "size": 1376841, "path": "Publication:Roch2006", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/", "__class": "Publication" }, { "id": "zotti-2005-lum", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Approximating Real-World Luminaires with OpenGL Lights", "date": "2005-02", "abstract": "Dynamic illumination in real-time applications using OpenGL is still usually done with the classical light forms of point lights, directional\n lights and spot lights. For applications simulating real-world\n scenes, e.g. architectural planning, finding parameter sets for\n these simple lights to match real-world luminaires is required for\n realistic work. This paper describes a simple approach to\n process a luminaire data file in IESNA IES-LM63-95 format to create\n an approximation using at most 2 OpenGL lights to represent one\n luminaire.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1072, "image_height": 860, "name": "zotti-2005-lum-image.jpg", "type": "image/jpeg", "size": 140201, "path": "Publication:zotti-2005-lum", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 222, 232, 190 ], "address": "Plzen", "booktitle": "WSCG 2005 Short Paper Proceedings", "date_from": "2005-02-01", "date_to": "2005-02-03", "editor": "Vaclav Skala", "isbn": "80-903100-9-5", "location": "Plzen", "note": "only on conference CD-ROM", "organization": "University of West Bohemia", "pages_from": "49", "pages_to": "52", "publisher": "UNION press", "research_areas": [ "Rendering" ], "keywords": [ "interactive illumination planning", "OpenGL", "Real-world luminaires" ], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": true, "use_in_gallery": false, "access": "public", "name": "zotti-2005-lum-.pdf", "type": "application/pdf", "size": 561509, "path": "Publication:zotti-2005-lum", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1072, "image_height": 860, "name": "zotti-2005-lum-image.jpg", "type": "image/jpeg", "size": 140201, "path": "Publication:zotti-2005-lum", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image:thumb{{size}}.png" } ], "projects_workgroups": [ "realreflect" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/", "__class": "Publication" } ], "url": "https://www.cg.tuwien.ac.at/research/projects/realreflect", "__class": "Project", "workgroup": { "id": "rend", "drupal_id": 1355, "name": "Rendering and Modeling", "website": "https://www.cg.tuwien.ac.at/group/Rendering-and-Modeling", "projects": [ "3DSpatialization", "CROSSMOD", "d10070", "d10169", "d10381", "d4307", "d4314", "d4342", "d4386", "d4388", "d4559", "d4729", "d4958", "d4984", 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"erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "EU Virtual Showcases", "workgroup_id": "rend", "drupal_id": 4276, "drupal_path": "/research/projects/EU-Virtual-Showcases", "name": "EU Virtual Showcases", "name_de": null, "short_title": "EU Virtual Showcases", "website": null, "status": "active", "short_abstract": "Showcases belong to the standard equipment of museums and other exhibitions. they are used to disply artifacts to the public, to make them available to a larger audience, and to protect them against detrimental effects of the environment. With Virtual showcases we want to introduce a new medium that allows to present hybrid exhibits.
\r\n", "abstract": "Showcases belong to the standard equipment of museums and other exhibitions. they are used to disply artifacts to the public, to make them available to a larger audience, and to protect them against detrimental effects of the environment. With Virtual showcases we want to introduce a new medium that allows to present hybrid exhibits.
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"fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } }, { "id": "AngioVis", "workgroup_id": "vis", "drupal_id": 4278, "drupal_path": "/research/projects/AngioVis", "name": "AngioVis: Visualization Tools for Peripheral CT-Angiography", "name_de": null, "short_title": "AngioVis", "website": null, "status": "active", "short_abstract": "post-processing and visualization of large CTA datasets of the peripheral extremities", "abstract": "The AngioVis (Angiographic Visualization) project deals with post-processing and visualization of large CTA datasets of the peripheral extremities. The aim of this project is to develop a diagnosis tool for detection and classification of arterial diseases in routine clinical use. The goals cover:\n(1) Developing highly reliable visualization methods. (2) Speeding up post-processing by introducing automatic and semi-automatic tools. (3) Optimising the clinical workflow.\n\n", "start_date": "2002-04-01", "end_date": "2004-04-30", "leader_id": { "id": 166, "drupal_id": 111, "orcid_id": "0000-0002-8569-4149", "website": "https://www.cg.tuwien.ac.at/staff/EduardGröller", "firstname": "Eduard", "lastname": "Gröller", "searchname": "Eduard Gröller", "is_teacher": true, "name": "Eduard Gröller", "publications": [ "a-2001-ah", "a-2001-ahr", "a-2001-Rec", "Acquisto-1995-DCR", "alacruzECR2004", "Alharbi_2021", "Alsallakh_2012_RCW", "amabili-2024-smg", "amabili-2025-lpb", "amirkhanov_2012", "amirkhanov_2012heur", "amirkhanov_2013_AMA", "amirkhanov-2011", "amirkhanov-2014-ama", "amirkhanov-2017-cffet", "amirkhanov-2018-withteeth", "amirkhanov-2019-manylands", "amirkhanov2010AMA", "amirkhanov2020visual", "Antonini2020", "Artner-2004-Hig", "Artner-2005-Hig", "Auzinger_Mistelbauer_2013_CSR", "balabanian-2007-ant", "balabanian-2008-hvv", "balabanian-2008-tst", "Balabanian-2010-IIV", "Balabanian-2010-PSDSV", "Bartroli-2002-Pro", "Bartroli-2003-Geo", "Bartroli-2003-Non", "beham-2014-cupid", "Berger_2011_UAE", "Berger-1998-Col", "Berger-2000-Col", "Bruckner_Stefan_2015_VAS", "Bruckner-2003-The", "bruckner-2005-ICV", "bruckner-2005-vid", "bruckner-2005-VIS", "bruckner-2006-EVV", "bruckner-2006-ICE", "bruckner-2007-EDF", "bruckner-2007-STF", "bruckner-2008-IVV", "bruckner-2009-BVQ", "bruckner-2009-IVV", "bruckner-2010-HVC", "bruckner-2010-IFC", "burns-2007-fea", "Carata_2011_IVE", "Castro-1998-TFS", "Cornel_Daniel_2015_VOC", "cornel-2022-wih", "coto-2005-MAC", "Csebfalvi-1999-Fast", "Csebfalvi-1999-MIP", "Csebfalvi-2000-Fas", "Csebfalvi-2000-GELR", "Csebfalvi-2000-Gra", "Csebfalvi-2000-IVRBM", "Csebfalvi-2001-Fas", "Csebfalvi-2001-Int", "Csebfalvi-2001-NPVR", "Csebfalvi-2002-FPVF", "Csebfalvi-2002-SBICG", "Csebfalvi-2002-Smo", "Csebfalvi-2012-IOM", "dataset-stagbeetle", "Dhanoa_2021", "dhanoa-2022-apm", "dhanoa-2025-dsg", "Diehl_2015", "Diehl_2021", "diehl-2013-VTA", "Diehl-2017-Albero", "Edi_2019_10_01", "eg-tut2005-iv", "eichner-2022-music", "EuroVis2018-ShortPapers-Karall", "EuroVis2018-ShortPapers-Reiter", "fernandez-2022-ergoexplorer", "fischel-1995-vis", "Fischel-1995-VLS", "Fischel-1997-CSVVP", "Fischel-1998-Cas", "fmistelbauer-2014-adict", "fritz-2009-ava", "Froehler_Berhnard_2015_ESM", "fuchs_vhml", "fuchs-2008-del", "Fuhr-1999-Multi", "Fuhrmann-1998-Rea", "fuhrmann-1998-reaX", "Furmanova_2018", "furmanova_2020", "furmanova-2024-bvp", "gall-2025-marv", "Gall2021", "Ganuza", "Ganuza_2015", "Ganuza_MJ_2015_AVe", "Ganuza_ML_2015_ISA", "Ganuza-2017-IVCSGM", "Gavrilescu-2010-CIE", "Gillmann2021", "Glaeser-1997-EVG", "Glaeser-1998-AFa", "Glaeser-1998-Eff", "Glaeser-1999-Fas", "glanznig-2009-LAMC", "Grimm-2003-CPU", "Grimm-2003-HYP", "grimm-2004-arefined", "GRIMM-2004-FDM", "GRIMM-2004-FDMX", "GRIMM-2004-FDMX-P", "grimm-2004-memory", "GRIMM-2004-PPC", "grimm-2004-volume", "Groeller_2011_CVC", "Groeller_2011_CW", "Groeller_2011_GBC", "Groeller_2011_HP", "Groeller_2011_HSU", "Groeller_2011_IPV", "Groeller_2011_IVP", "Groeller_2011_NR", "Groeller_2011_NSM", "Groeller_2011_VCD", "Groeller_2011_VSD", "Groeller_2011_VSS", "Groeller_2012_KAV", "Groeller_2012_VBP", "Groeller_2012_ViV", "Groeller_2012_VV", "Groeller_2014_CaQ", "Groeller_2014_CQV", "Groeller_2014_CV", "Groeller_2014_RWA", "Groeller_2014_STC", "Groeller_2014_UPS", "Groeller_2014_VND", "Groeller_2016_I1", "Groeller_2016_I2", "Groeller_2016_I3", "Groeller_2016_I4", "Groeller_2016_I5", "Groeller_2016_I6", "Groeller_2016_I7", "Groeller_2016_I8", "Groeller_2016_P1", "Groeller_2016_P2", "Groeller_2016_P3", "Groeller_2016_P4", "Groeller_2016_P6", "Groeller_2016_P7", "Groeller_2021_11", "Groeller_2021_BVM", "Groeller_2021-10", "Groeller_Edi_2013_TVC", "Groeller_Edi_2013_VCQ", "Groeller_Edi_2013TVCK", "Groeller_Edi_VKA", "Groeller_Eduard_2014_THS", "Groeller_Eduard_2014_TSP", "Groeller_Eduard_2014_UCT", "Groeller_Eduard_2015_SMV", "Groeller_Eduard_2015_TCU", "Groeller_V1_2020", "Groeller_V2_2020", "Groeller_V3_2020", "Groeller_V42020", "Groeller_V5_2020", "groeller-1987-opt", "groeller-1988-duale", "groeller-1988-using", "groeller-1991-frac", "groeller-1991-temp", "groeller-1992-frac", "groeller-1992-fractals", "groeller-1992-fraktale", "groeller-1992-vis", "groeller-1993-acc", "groeller-1993-cha", "groeller-1993-coh", "groeller-1993-coh1", "groeller-1993-daten", "groeller-1993-dist", "groeller-1993-disto", "groeller-1993-eff", "groeller-1993-exp", "groeller-1993-frak", "groeller-1993-grund", "groeller-1993-oct", "Groeller-1994-AIV", "groeller-1994-appl", "Groeller-1994-AVT", "groeller-1994-coh", "Groeller-1994-CSA", "groeller-1994-ext", "Groeller-1994-HIS", "groeller-1994-hyper", "Groeller-1994-IDN", "groeller-1994-int", "Groeller-1994-ITV", "groeller-1994-mod", "Groeller-1994-MRN", "groeller-1994-tech", "groeller-1994-vis", "groeller-1995-appl", "groeller-1995-attract", "Groeller-1995-CCG", "groeller-1995-dyn", "Groeller-1995-GOW", "Groeller-1995-IED", "groeller-1995-inter", "groeller-1995-lok", "groeller-1995-mod", "groeller-1995-non", "Groeller-1995-SDC", "groeller-1995-vis", "groeller-1996-ACE", "groeller-1996-avn", "Groeller-1998-TunVis", "Groeller-1998-VAD", "Groeller-1998-VDS", "Groeller-1999-Dat", "Groeller-1999-Vis", "Groeller-2000-Vis", "Groeller-2001-IDV", "groeller-2002-anw", "Groeller-2002-Ins", "groeller-2002-med", "groeller-2002-wiss", "groeller-2003-fea", "groeller-2003-med", "groeller-2003-scie", "groeller-2003-vol", "groeller-2004-efficient", "groeller-2004-imp", "groeller-2004-sci", "groeller-2005-abs", "groeller-2005-dia", "groeller-2005-foc", "groeller-2005-imp", "groeller-2005-impo", "groeller-2005-proc", "groeller-2005-sma", "groeller-2005-smar", "groeller-2005-volg", "groeller-2006-cgf", "groeller-2006-civ", "groeller-2006-ivt", "groeller-2006-tvcg", "groeller-2007-csu", "groeller-2007-fci", "groeller-2007-mva", "groeller-2007-vis", "groeller-2007-visII", "groeller-2007-vws", "groeller-2008-att2", "groeller-2008-How", "groeller-2008-hsp", "groeller-2008-irs", "groeller-2008-kav2", "groeller-2008-kav3", "groeller-2008-kav4", "groeller-2008-lsy", "Groeller-2010-CVC", "groeller-2010-How", "Groeller-2010-IFI", "Groeller-2010-IVVI", "groeller-2010-PTT", "Groeller-2011-HSH", "Groeller-2017-AMOS", "Groeller-2017-ARTORW", "Groeller-2017-AVC", "Groeller-2017-IVAMCS", "Groeller-2017-PTPMD", "groeller-2022-iva", "groeller-2022-iva-1", "groeller-2022-ivd", "groeller-2023-ivd", "groeller-2023-siv", "groeller-2023-siv-1", "groeller-2023-siv-2", "groeller-2023-tfo", "groeller-2024-cui", "groeller-cvc-2009", "groeller-scv-2009", "groeller-svo-2009", "Groeller-thesis", "groeller-vks-2009", "Groller_2021-12-03", "Grorller-2010-IVV", "grossmann_2019_pelvisrunner_poster", "grossmann-2022-conceptSplatters", "Hadwiger-2003-MIP", "haidacher_2010_statTF", "haidacher-2008-vcbm", "haidacher-2011-MSM", "haidacher-2011-VAM", "Halladjian_2020", "Hauser-1999-SSI", "Hauser-2000-Tho", "Hauser-2000-Two", "Hauser-2000-TwoX", "Hauser-2002-SSI", "Hauser-2003-Acc", "Heim_2021", "heim-2024-accustripes", "heinzl_2006_RSDVCDM", "heinzl-2006-rep", "heinzl-2007-sem", "heinzl-2008-sam", "Herghelegiu-2012-BPV", "herzberger-2024-roh", "Hladuvka-2000-Cur", "Hladuvka-2000-Exp", "Hladuvka-2000-ExpX", "Hladuvka-2001-DDI", "Hladuvka-2001-Dir", "Hladuvka-2001-Exp", "Hladuvka-2001-Sal", "Hladuvka-2002-Exp", "hladuvka-2002-exploiting", "Hladuvka-2002-Sma", "Jankovic-1994-PBM", "jankovic-1994-phy", "jankovic-1995-heter", "Kanitsar-2001-Aut", "Kanitsar-2001-Per", "Kanitsar-2001-Pos", "Kanitsar-2001-PVI", "kanitsar-2002-Chr", "Kanitsar-2002-CPR", "kanitsar-2002-CPRX", "Kanitsar-2003-ADV", "Kanitsar-2003-Adva", "Kanitsar-2003-CTa", "Kanitsar-2003-Dem", "Kanitsar-2004-Dia", "karimov-2013-vivisection", "karimov-2016-SD", "kehrer-2013-SBC", "klein_2017_IM", "klein_2019_PGG", "klein_2019_PMP", "klein-2016-WCL", "Knapp-2003-SAT", "knapp-2004-semi", "Knoll-2000-AJi", "Koechl-2003-Com", "Koenig-1998-NC", "Koenig-1998-Rea", "koenig-1999-AlV", "Koenig-1999-Mul", "Koenig-1999-MVA", "Koenig-2000-AlV", "Koenig-2000-AlVi", "Koenig-2000-ATFS", "Koenig-2001-Mas", "koeppel-2021", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "Korpitsch-2020-wscg", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "LaCruz-2004-NMF", "LaCruz2004", "lanzarotti-2025-viseps", "lee-2022-p", "Loeffelmann-1994-PSQ", "loeffelmann-1995-para", "Loeffelmann-1995-RTE", "loeffelmann-1996-CVA", "Loeffelmann-1996-DS3", "loeffelmann-1996-SVM", "Loeffelmann-1997-FV2", "Loeffelmann-1997-HSV", "Loeffelmann-1997-VPM", "Loeffelmann-1998-Enh", "Loeffelmann-1998-EVC", "Loeffelmann-1998-SMURF", "Loeffelmann-1998-VDS", "Loeffelmann-1998-Vis", "Loeffelmann-1998-Visu", "Loeffelmann-1999-SMU", "malik-2007-FP", "malik-2009-CVFA", "malik-2010-cvp", "manylands_award", "Matkovic-2002-Pro", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Meinhart-1998-Tun", "Miao_2015_VCBM", "miao_2016_cgf", "Miao_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Milik-1997-GMMO", "Milik-1998-Geo", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2015-mc", "mindek-2017-dsn", "mindek-2017-marion", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Morar_2012_ISB", "Mroz-1998-Bri", "Mroz-1998-Sel", "Mroz-1998-SelX", "Mroz-1999-Adv", "Mroz-1999-IHQ", "Mroz-1999-MIP", "Mroz-1999-Real", "Mroz-1999-ReaX", "Mroz-2000-Int", "Mroz-2000-Mas", "Mroz-2000-MasX", "Mroz-2000-Rea", "Muigg_2011_VC", "muigg-2011-gpg", "musleh-2023-ugi", "Neumann-2000-Gra", "Neumann-2002-Fea", "oda-2025-artevoviewer", "ortner-2016-tunnel", "ortner-2016-visaware", "Ortner2020", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-kav", "patel-2010-SVV", "patel-2011-PEA", "Peter_2012_AIV", "piringer-2009-hds", "PMI_AR_2012", "preim-2009-sve", "purgathofer-1988-using", "Purgathofer-1994-CPI", "Purgathofer-1999-Gra", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_slicedice", "raidou_visgap2020", "raidou2018visualflatter", "raidou2019_prsps", "rauer-zechmeister-2024-h3p", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-VF", "RAUTEK06", "Rautek06Vis", "Red_Andreas_2015_FFT", "reh-2013", "reh-2015-areh", "reina-2020-mtv", "Reiter_2009_IXIA", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "roos-2007-mcp", "Ropinski-2012-UBT", "rsabin-2013", "Sarkis_2021", "Sbardellati-2019-vcbm", "Schernthaner-2017-MCP", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev-2010-DFC", "solteszova-avp-2009", "sorger_2017_metamorphers", "sorger-2015-litevis", "sorger-2015-taxintec", "Soros_AVN_2011", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "Straka-2003-3DW", "Straka-2003-Apr", "Straka-2003-Bon", "Straka-2003-CTA", "Straka-2004-BSA", "Straka-2004-TVG", "StrakaVis2004", "suntinger-2008-etet", "suntinger-2008-tet", "szabo-2023-fig", "tanaka-2024-vor", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-scmr", "Theussl-1999-MDH", "Theussl-2000-MWI", "Theussl-2001-ORS", "Theussl-2001-RIV", "Theussl-2002-RSH", "Theussl-2003-Rec", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", 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Obstructions of the blood flow through a vessel are one of the main interests of physicians, and several methods have been proposed to aid the visual assessment of calcifications on vessel walls. Curved Planar Reformation (CPR) is a wide-spread method that is designed for peripheral arteries which exhibit one dominant direction. To analyze the lumen of arbitrarily oriented vessels, Centerline Reformation (CR) has been proposed. Both methods project the vascular structures into 2D image space in order to reconstruct the vessel lumen. In this paper, we propose Curved Surface Reformation (CSR), a technique that computes the vessel lumen fully in 3D. This offers high-quality interactive visualizations of vessel lumina and does not suffer from problems of earlier methods such as ambiguous visibility cues or premature discretization of centerline data. Our method maintains exact visibility information until the final query of the 3D lumina data. 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19 MB - DivX codec).", "filetitle": "demo-video", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 175, "preview_image_height": 109, "name": "Auzinger_Mistelbauer_2013_CSR-demo-video.avi", "type": "video/x-msvideo", "size": 19553290, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-demo-video:preview.png", "preview_type": "image/jpeg", "preview_size": 2055, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video:video.mp4" }, { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1111, "image_height": 1112, "name": "Auzinger_Mistelbauer_2013_CSR-Image.png", "type": "image/png", "size": 611903, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image:thumb{{size}}.png" }, { "description": "Full paper preprint.", "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 198, "preview_image_height": 256, "name": "Auzinger_Mistelbauer_2013_CSR-Paper.pdf", "type": "application/pdf", "size": 14364258, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-Paper:preview.png", "preview_type": "image/png", "preview_size": 61094, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Paper:thumb{{size}}.png" }, { "description": "The questionnaire, which was used for our evaluation.", "filetitle": "Questionnaire", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 181, "preview_image_height": 256, "name": "Auzinger_Mistelbauer_2013_CSR-Questionnaire.pdf", "type": "application/pdf", "size": 13937494, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-Questionnaire:preview.png", "preview_type": "image/png", "preview_size": 32308, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Questionnaire.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Questionnaire:thumb{{size}}.png" }, { "description": "CSR applied to a medical volume data set of the bifurcation of the human abdominal aorta.", "filetitle": "Result image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1111, "image_height": 1112, "name": "Auzinger_Mistelbauer_2013_CSR-Result image.png", "type": "image/png", "size": 611903, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Result image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Result image:thumb{{size}}.png" }, { "description": "The teaser image shows an application of our method to a medical volume data set of the bifurcation of the human abdominal aorta. A 3D direct volume rendering with the surface of the vessel tree is shown on the left. The right three images depict CSR for different view directions.", "filetitle": "Teaser image", "main_file": false, "use_in_gallery": true, "access": "public", "preview_image_width": 1852, "preview_image_height": 545, "name": "Auzinger_Mistelbauer_2013_CSR-Teaser image.pdf", "type": "application/pdf", "size": 3026131, "path": "Publication:Auzinger_Mistelbauer_2013_CSR", "preview_name": "Auzinger_Mistelbauer_2013_CSR-Teaser image:preview.png", "preview_type": "image/png", "preview_size": 941957, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Teaser image.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Teaser image:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/", "__class": "Publication" }, { "id": "bernhard-2006-dvrcta", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Efficient CPU-based Direct Volume Rendering for CT-Angiography", "date": "2006-11", "abstract": "", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bernhard-2006-dvrcta-thesis.pdf", "type": "application/pdf", "size": 3944966, "path": "Publication:bernhard-2006-dvrcta", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 660 ], "supervisor": [ 693 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bernhard-2006-dvrcta-thesis.pdf", "type": "application/pdf", "size": 3944966, "path": "Publication:bernhard-2006-dvrcta", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/", "__class": "Publication" }, { "id": "Cruz-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "3D Modelling and Reconstruction of Peripheral Vascular Structure", "date": "2006-03", "abstract": "A model is a simplified representation of an object. The modeling stage could be described as shaping individual objects that are later used in the scene. For many years scientists are trying to create an appropriate model of the blood vessels. It looks quite intuitive to believe that a blood vessel can be modeled as a tubular object, and this is true, but the problems appear when you want to create an accurate model that can deal with the wide variability of shapes of diseased blood vessels. From the medical point of view it is quite important to identify, not just the center of the vessel lumen but also the center of the vessel, particularly in the presences of some anomalies, which is the case diseased blood vessels.\r\n\r\nAn accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. We believe that a model-based technique is the most suitable one for parameterizing blood vessels. The main focus of this work is to present a new strategy to parameterize diseased blood vessels of the lower extremity arteries.\r\n\r\nThe first part presents an evaluation of different methods for approximating the centerline of the vessel in a phantom simulating the peripheral arteries. Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel. They are based on: ray casting using thresholds and a maximum gradient-like stop criterion, pixel-motion estimation between successive images called block matching, center of gravity and shape based segmentation. The Randomized Hough Transform and ellipse fitting have been used as shape based segmentation techniques. Since in the synthetic data set the centerline is known, an estimation of the error can be calculated in order to determine the accuracy achieved by a given method.\r\n\r\nThe second part describes an estimation of the dimensions of lower extremity arteries, imaged by computed tomography. The vessel is modeled using an elliptical or cylindrical structure with specific dimensions, orientation and CT attenuation values. The model separates two homogeneous regions: Its inner side represents a region of density for vessels, and its outer side a region for background. Taking into account the point spread function of a CT scanner, which is modeled using a Gaussian kernel, in order to smooth the vessel boundary in the model. An optimization process is used to find the best model that fits with the data input. The method provides center location, diameter and orientation of the vessel as well as blood and background mean density values.\r\n\r\nThe third part presents the result of a clinical evaluation of our methods, as a prerequisite step for being used in clinical environment. To perform this evaluation, twenty cases from available patient data were selected and classified as 'mildly diseased' and 'severely diseased' datasets. Manual identification was used as our reference standard. We compared the model fitting method against a standard method, which is currently used in the clinical environment. In general, the mean distance error for every method was within the inter-operator variability. However, the non-linear model fitting technique based on a cylindrical model shows always a better center approximation in most of the cases, 'mildly diseased' as well as 'severely diseased' cases. Clinically, the non-linear model fitting technique is more robust and presented a better estimation in most of the cases. Nevertheless, the radiologists and clinical experts have the last word with respect to the use of this technique in clinical environment.", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Cruz-thesis-pdf.pdf", "type": "application/pdf", "size": 7916402, "path": "Publication:Cruz-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 168 ], "date_end": "2006-03", "date_start": "2002-05", "supervisor": [ 166 ], "research_areas": [], "keywords": [ "Vessel Visualization", "3D Modeling", "Segmentation", "3D Reconstruction" ], "weblinks": [], "files": [ { "description": "", "filetitle": "pdf", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Cruz-thesis-pdf.pdf", "type": "application/pdf", "size": 7916402, "path": "Publication:Cruz-thesis", "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/", "__class": "Publication" }, { "id": "Eckelt_2017", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Vascular Printing - 3D Printing of Aortic Dissections", "date": "2017-01-31", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 361, "image_height": 280, "name": "Eckelt_2017-image.JPG", "type": "image/jpeg", "size": 19302, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1401 ], "date_end": "2017-01-31", "date_start": "2016-06-01", "matrikelnr": "1127705", "supervisor": [ 166 ], "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Eckelt_2017-Bachelor Thesis.pdf", "type": "application/pdf", "size": 14653176, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 361, "image_height": 280, "name": "Eckelt_2017-image.JPG", "type": "image/jpeg", "size": 19302, "path": "Publication:Eckelt_2017", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/", "__class": "Publication" }, { "id": "FISCHL-2012-CTASEG", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Parallelized Segmentation of CT-Angiography Datasets Using CUDA", "date": "2012", "abstract": "Segmentation of CT-Angiography datasets is an important and difficult task. Several algorithms and approaches have already been invented and implemented to solve this problem. In this work, we\r\npresent automatic algorithms for the segmentation of these CTA datasets,\r\nimplemented in CUDA, and evaluate our results regarding speed and\r\nerror rates. Starting with local approaches like thresholding we pro-\r\nceed to global, object-based algorithms, like region growing and a\r\nnewly developed algorithm based on dual energy CT scans (DECT), the XOR-Algorithm, presented by Karimov et al.[6] A limitation of using graphics hardware is the restricted amount of memory, which led us to use a slab-based processing approach (see section 5.3). The requirement of this work was a complete GPU implementation. But since not every task is appropriate for parallelizing, it was necessary\r\nto use iteratively parallel algorithms. This strategy though introduced\r\nspeed problems that had to be analyzed and were partly solved. This\r\nwork presents the principle of these GPU methods and compares them\r\nto their CPU counterparts. In the end, the quality of each algorithm is analyzed and they are compared against each other, in order to \ffind an acceptable completely automatic segmentation algorithm for distinguishing between different types of tissues (e.g. vessels, bones, soft\r\ntissue, ...).", "authors_et_al": false, "substitute": null, "main_image": { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "FISCHL-2012-CTASEG-.pdf", "type": "application/pdf", "size": 4541833, "path": "Publication:FISCHL-2012-CTASEG", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 921 ], "supervisor": [ 166 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "", "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "name": "FISCHL-2012-CTASEG-.pdf", "type": "application/pdf", "size": 4541833, "path": "Publication:FISCHL-2012-CTASEG", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/", "__class": "Publication" }, { "id": "fmistelbauer-2014-adict", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "ActiveDICOM - Enhancing Static Medical Images with Interaction", "date": "2014-09", "abstract": "Digital Imaging and Communications in Medicine (DICOM) is a well-establish standard in medical imaging, consisting not only of image data, but sensitive data such as patient and examination information. Nowadays, although having a large variety of advanced rendering techniques available, DICOM images are still generated and sent to the Picture Archiving and Communication System (PACS). These images are then fetched by the medical doctor from a workstation and used for medical reporting. The user has no other possibilities than being able to change the windowing function for displaying the DICOM images. If a certain region is of special interest, either images of the whole data set are generated or have to be specifically requested. Both approaches consume a considerable amount of time. Secondly, the image generation on demand remains pending until done by the responsible assistant. Despite supporting a broad range of features and being widely applied, DICOM images remain static. We propose a visualization mapping language, Active DICOM Script (ADICT), which enhances conventional DICOM with interactive elements by combining heterogeneous data, interaction and visualization. Such DICOM images are then called Active Digital Imaging and Communications in Medicine (ActiveDICOM).", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 879, "image_height": 654, "name": "fmistelbauer-2014-adict-.png", "type": "image/png", "size": 62455, "path": "Publication:fmistelbauer-2014-adict", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1234, 869, 166 ], "booktitle": "Posters at Eurographics Workshop on Visual Computing for Biology and Medicine", "date_from": "2014-09-03", "date_to": "2014-09-05", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine", "location": "Vienna, Austria", "series": "EG VCBM 2014", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 879, "image_height": 654, "name": "fmistelbauer-2014-adict-.png", "type": "image/png", "size": 62455, "path": "Publication:fmistelbauer-2014-adict", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-:thumb{{size}}.png" }, { "description": "The presented poster.", "filetitle": "poster", "main_file": false, "use_in_gallery": false, "access": "public", "name": "fmistelbauer-2014-adict-poster.pdf", "type": "application/pdf", "size": 937046, "path": "Publication:fmistelbauer-2014-adict", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/", "__class": "Publication" }, { "id": "mistelbauer-2012-cr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Centerline Reformations of Complex Vascular Structures", "date": "2012", "abstract": "Visualization of vascular structures is a common and frequently performed task in the field of medical imaging. There exist well established and applicable methods such as Maximum Intensity Projection (MIP) and Curved Planar Reformation (CPR). However, when calcified vessel walls are investigated, occlusion hinders exploration of the vessel interior with MIP. In contrast, CPR offers the possibility to visualize the vessel lumen by cutting a single vessel along its centerline. Extending the idea of CPR, we propose a novel technique, called Centerline Reformation (CR), which is capable of visualizing the lumen of spatially arbitrarily oriented vessels not necessarily connected in a tree structure. In order to visually emphasize depth, overlap and occlusion, halos can optionally envelope the vessel lumen. The required vessel centerlines are obtained from volumetric data by performing a scale-space based feature extraction. We present the application of the proposed technique in a focus and context setup. Further, we demonstrate how it facilitates the investigation of dense vascular structures, particularly cervical vessels or vessel data featuring peripheral arterial occlusive diseases or pulmonary embolisms. Finally, feedback from domain experts is given.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 743, "image_height": 692, "name": "mistelbauer-2012-cr-image.png", "type": "image/png", "size": 837788, "path": "Publication:mistelbauer-2012-cr", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869, 806, 902, 1048, 169, 1047, 164, 166, 170 ], "booktitle": "Pacific Visualization Symposium (PacificVis), 2012 IEEE", "date_from": "2012-02-28", "date_to": "2012-03-02", "isbn": "978-1-4673-0863-2", "lecturer": [ 869 ], "location": "Songdo, Korea (South) ", "pages_from": "233", "pages_to": "240", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 743, "image_height": 692, "name": "mistelbauer-2012-cr-image.png", "type": "image/png", "size": 837788, "path": "Publication:mistelbauer-2012-cr", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image:thumb{{size}}.png" }, { "description": "Full paper preprint.", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mistelbauer-2012-cr-paper.pdf", "type": "application/pdf", "size": 5059400, "path": "Publication:mistelbauer-2012-cr", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-paper:thumb{{size}}.png" }, { "description": "The questionnaire, which was used for our evaluation.", "filetitle": "questionnaire", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mistelbauer-2012-cr-questionnaire.pdf", "type": "application/pdf", "size": 5674677, "path": "Publication:mistelbauer-2012-cr", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-questionnaire.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-questionnaire:thumb{{size}}.png" }, { "description": "Teaser image.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1493, "image_height": 346, "name": "mistelbauer-2012-cr-teaser.PNG", "type": "image/png", "size": 909505, "path": "Publication:mistelbauer-2012-cr", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-teaser.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/", "__class": "Publication" }, { "id": "mistelbauer-2012-ssv", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization", "date": "2012-10", "abstract": "Due to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Of these, not each might be applicable to the data at hand or might reveal the desired result. Owing to this, innovations may be used inappropriately and users may become skeptical. In this paper we propose a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. We present an application of our system in the medical domain and give qualitative feedback from domain experts.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1803, "image_height": 297, "name": "mistelbauer-2012-ssv-image.png", "type": "image/png", "size": 634843, "path": "Publication:mistelbauer-2012-ssv", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869, 902, 1047, 1049, 169, 161, 170, 166 ], "booktitle": "IEEE Conference on Visual Analytics Science and Technology (IEEE VAST) 2012", "date_from": "2012-10-14", "date_to": "2012-10-19", "lecturer": [ 869 ], "location": "Seattle, WA, USA", "pages_from": "163", "pages_to": "172", "publisher": "IEEE Computer Society", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "Demo video (37 MB).", "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "mistelbauer-2012-ssv-demo.avi", "type": "video/x-msvideo", "size": 37249480, "path": "Publication:mistelbauer-2012-ssv", "preview_name": "mistelbauer-2012-ssv-demo:preview.png", "preview_type": "image/jpeg", "preview_size": 36086, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-demo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-demo:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-demo:video.mp4" }, { "description": "Fast forward (4 MB).", "filetitle": "fastforward", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "mistelbauer-2012-ssv-fastforward.wmv", "type": "application/octet-stream", "size": 4326014, "path": "Publication:mistelbauer-2012-ssv", "preview_name": "mistelbauer-2012-ssv-fastforward:preview.png", "preview_type": "image/jpeg", "preview_size": 14944, "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-fastforward.wmv", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-fastforward:thumb{{size}}.png" }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1803, "image_height": 297, "name": "mistelbauer-2012-ssv-image.png", "type": "image/png", "size": 634843, "path": "Publication:mistelbauer-2012-ssv", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image:thumb{{size}}.png" }, { "description": "Full paper preprint.", "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mistelbauer-2012-ssv-paper.pdf", "type": "application/pdf", "size": 7063568, "path": "Publication:mistelbauer-2012-ssv", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-paper:thumb{{size}}.png" }, { "description": "If-then rules for the fuzzy inference system.", "filetitle": "rules", "main_file": false, "use_in_gallery": false, "access": "public", "name": "mistelbauer-2012-ssv-rules.pdf", "type": "application/pdf", "size": 280029, "path": "Publication:mistelbauer-2012-ssv", "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-rules.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-rules:thumb{{size}}.png" } ], "projects_workgroups": [ "AngioVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/", "__class": "Publication" }, { "id": "mistelbauer-2013-cfa", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Vessel Visualization using Curvicircular Feature Aggregation", "date": "2013-06", "abstract": "Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1778, "image_height": 870, "name": "mistelbauer-2013-cfa-image.png", "type": "image/png", "size": 1180396, "path": "Publication:mistelbauer-2013-cfa", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 869, 1064, 806, 1047, 1049, 169, 162, 161, 166 ], "date_from": "2013-06-17", "date_to": "2013-06-21", "event": "Eurographics Conference on Visualization (EuroVis)", "journal": "Computer Graphics Forum", "lecturer": [ 869 ], "location": "Leipzig, Germany", "number": "3", "pages_from": "231", "pages_to": "240", "volume": "32", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12110/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Demo video (27 MB).", "filetitle": "demo", "main_file": false, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 884, "name": "mistelbauer-2013-cfa-demo.avi", "type": "video/x-msvideo", "size": 26619442, "path": "Publication:mistelbauer-2013-cfa", "preview_name": "mistelbauer-2013-cfa-demo:preview.png", "preview_type": "image/jpeg", "preview_size": 41141, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-demo.avi", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": 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Different types of data require special tools to allow domain experts to identify and evaluate features of interest. These tools contain various graphical user interface elements which enable the users to manipulate and steer the visualization of the explored dataset. In application domains such as vascular visualization, the heterogeneous nature of the explored data poses a challenge on the commonly used interaction elements. Their precision might not be sufficient for targeting fine features of interest in medical scans, while in larger homogeneous regions of the dataset their sensitivity might be too low. In other words, the user input is not proportional to the visual change of the generated image. In this paper, we propose a model for enabling data-sensitive navigation for commonly employed user-interface elements. This model is applied to normalize the user input to the visual change, and to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way without unnecessary overhead. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and camera manipulation of 3D volumes. The presented examples demonstrate that the model scales to interaction elements where multiple parameters are set simultaneously.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 525, "image_height": 300, "name": "TR-186-2-15-03-.png", "type": "image/png", "size": 7796, "path": "Publication:TR-186-2-15-03", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/TR-186-2-15-03/TR-186-2-15-03-.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/TR-186-2-15-03/TR-186-2-15-03-:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 935, 869, 166, 161 ], "number": "TR-186-2-15-03", "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "", "main_file": false, "use_in_gallery": false, 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"Koeppel2020", "Kohlmann-2007-EBV", "kohlmann-2007-livesync", "kohlmann-2008-lse", "kohlmann-2009-cp", "kohlmann-2009-lssl", "kolesar-ivan-2014-polymers", "Kolter_2021", "komon-2025-dco", "komon-2025-webigeo", "komon-2025-webigeo", "komon-kimmersdorfer-2025-weBIGeo", "Konyha_2013_IVA", "korpitsch_thorsten-2019", "korpitsch-2020-cescg", "Korpitsch-2020-wscg", "korpitsch-2021-lov", "Koszticsak-2017-ewt", "Kouril_2017_11", "kouril-2015-maya2cellview", "kouril-2017-sccgposter", "kouril-2018-LoL", "kouril-2018-LoL", "kouril-2020-hyperlabels", "kouril-2021-molecumentary", "kouril-2021-phdthesis", "Kovacs_PhD", "krakhofer-2015", "Krone2016VABC", "kuehschelm-2005-adv", "Kugler_2019", "Kuroko-2020-iV", "Labschuetz_Matthias_2015_JIT", "Labschuetz_Matthias_2016_AHD", "Labschuetz_Matthias_2016_JIT", "Labschuetz_Matthias_2016_JITT", "Lackner_2022", "LaCruz2004", "Ladstaedter-2009-sim", "Langer_Edith_IR1", "Langer_Maximillian_DMV", "Laschober-2018", "lawonn-2018-illvisstar", "lemuzic_2014_ipv", "lemuzic_2015_timelapse", "LeMuzic_2016_PhD", "lemuzic-2014-ivm", "lemuzic-2015-hiv", "lemuzic-mindek-2016-viseq", "lemuzic-mindek-sorger-cgfcc", "Leutschacher_2022", "li-2019-gdc", "lie-2009-cri", "lipp-2017-mgpu", "lipp-2017-vulkan", "lippeck-2022-mna", "liu-2014-ac", "lkoell-2014", "ludwig-2012-MT", "Machegger2018DTI", "magg-2021-dva", "magg2021", "mahler-2021-mdar", "major-2010-mrf", "malan_fluoro", "malik-2007-FP", "malik-2009-CVFA", "malik-thesis", "Manczarski-2016", "Marek06", "Maricic_2013_VFE", "martorell2022", "maruyama-2019-iv", "Masopust_2018", "Masterthesis-Viola", "Matkovic_Kresimir_2015_", "matt-2023-vae", "matt-2024-cvil", "matt-2025-scv", "matt-masterthesis", "Mattausch-2003-ISL", "Mattausch-2003-SIE", "Mattausch-2003-Str", "Matusich-2017-01", "Mautner 2020", "Mayr-2017-1", "mayr-2021-wec", "mazurek-2017-sio", "mazurek-2017-vows", "mazurek-2018-vac", "mazurek-2018-veq", "Mazza_2020", "Mazza_2021_05", "meka-2024-lpi", "Melo_2018_11", "Meusburger_2020", "Miao_2015_VCBM", "Miao_2019", "Miao_Haichao_2015_VQC", "miao_inria_2017", "miao_kaust_2018", "miao_nantech_2019", "miao_nar_2020", "miao_plitvice_2018", "miao_thesis_2019", "miao_tvcg_2017", "miao_tvcg_2018", "miao_tvcg_2018", "miao_tvcg_2018", "miao2018Dimsum", "Miao2018FDN", "Michl_2017_CSV", "mindek_peter-2012-visgroupproj", "mindek_peter-2014-cs_kaust", "mindek-2013-cs_cvut", "mindek-2013-csl", "mindek-2013-pel", "mindek-2014-mcs", "mindek-2014-vivi_cvut", "mindek-2015-mc", "mindek-2015-mctalk", "mindek-2016-utah-talk", "mindek-2017-dsn", "mindek-2017-marion", "mindek-2017-virtualcell", "mindek-2018-fyi", "mindek-2019-mci", "mindek-thesis", "mistelbauer_2013_SIV", "Mistelbauer_2021", "Mistelbauer_Gabriel_2015_NHR", "Mistelbauer_Gabriel_2016", "mistelbauer-2010-pvv", "mistelbauer-2012-cr", "mistelbauer-2012-ssv", "mistelbauer-2013-cfa", "mistelbauer-2015-abvv", "Mitterhofer_2017", "mizuno-2019-eurovis", "Mlejnek_2004_PF", "Mlejnek_2005_AOEPF", "Mlejnek_2006_MVOA", "Mlejnek-2004-Int", "Mlejnek-2004-ITVAC", "Mlinaric-2015-MT", "Moellinger_Christian_IDE2", "moerth_eric-2016-3DF", "moerth-2018-tpose", "monitzer_2008_FluSi", "Morar_2012_ISB", "Muehlbacher_diss_2018", "mueller-2009-ivs", "Muigg_2011_ISI", "Muigg_2011_VC", "Muigg-2008-four", "muigg-2012-svr", "musleh-2024-conan", "muth-2026-clouds", "Neumann-2002-Fea", "nguyen_2020-covid", "Niedermayer_2018", "Novotny_2013_ASVD", "Nowak_2020", "Nowak_2021", "Oancea_2018_1", "Oancea_Stefan_2016_VOT", "Oancea2018OAK", "oeltze-2013-tut", "opitz-2009-cvv", "Ortner_PhD", "Ortner2020", "Pahr_PhD", "pahr-2021-vologram", "pahr-2024-ieo", "pahr-2024-squishicalization", "pahr-2025-holographs", "pahr-2025-nodkant", "Pahr2020", "Pajer_2012_VoM", "Panayotov", "papantonakis-2024-rmf", "Parzer_2013_IIG", "patel_2009_MC", "patel_daniel_2007_IRSD", "patel-2008-tsa", "patel-2009-evr", "patel-2011-PEA", "Pauschenwein_2022", "Peter_2012_AIV", "Pezenka-2016-MT", "Pfahler_David_2015_IPI", "Pfahler-2016-MT", "PH-2011-LDS", "phd-viola", "Philipp_Hochhauser_2023", "Pilizar_-2020-bachelor", "piringer-2009-hds", "Plank_Pascal_2015_HVP", "plank-2017-sldg", "PMI_AR_2012", "pointner_simon-2020", "polatsek-2018-stv", "polatsek-2018-stv", "Pramerdorfer-2011-PAV", "preim-2009-sve", "Presch_2020", "Priselac2021", "puehringer-2009-sbm", "puenguentzky-2014-ht", "Purchase-2020-gd", "raidou_2018_bladderrunner", "raidou_2019_pelvisrunner", "raidou_2019_preha", "raidou_2019_springer", "raidou_2020Onc", "raidou_EuroVis15", "raidou_eurovis16", "raidou_miccai16", "raidou_pingu2020", "raidou_previs2021", "raidou_RO2019", "raidou_shonan167", "raidou_slicedice", "raidou_star2019", "raidou_vcbm14", "raidou_vis14", "raidou_vis15", "raidou_visgap2020", "raidou2018_rv3", "raidou2018visualflatter", "raidou2019_prsps", "rasch-2016-imgses", "Rau08", "Rautek_Peter_2014_TUC", "Rautek_Peter_2014_VSA", "rautek-2005-dvr", "Rautek-2007-O3D", "Rautek-2007-SLI", "Rautek-2008-IDS", "Rautek-2008-kav", "Rautek-2008-VF", "rautek-2009-vmv", "RAUTEK06", "Rautek06Vis", "Rautek06VMLS", "rautek2010", "Red_Andreas_2015_FFT", "Reh_Andreas_VoP", "reh-2013", "reina-2020-mtv", "Reisacher_Matthias_CPW", "Reisacher2016", "Reiter_2009_IXIA", "Reiter2017CVAP", "Rezk06Vis", "Ribicic_2012_SUS", "Ribicic_2012_VAS", "Ribicic-2010-CRS", "Riegelnegg_2019", "rinortner_susanne-2019-vpicc", "rinortner_susanne-2019-vpicc", "Rippberger_2019", "rippl-2023-atg", "ritzberger-2010-nar", "Ropinski-2012-UBT", "rraidou_clinical", "rraidou_EG17", "rraidou_phdbook", "rsabin-2013", "ruiz-2008-OVR", "ruiz-2008-SEV", "samoul-2019-cnp", "Sanjin_Rados_RV", "Sarkis_2021", "Sbardellati-2019-vcbm", "Sbardellati-2019-vcbm", "sbardellati-2021-eveos", "scharsach-2005-adv", "Schernthaner-2017-MCP", "schindler_2020vis", "Schindler-2022-eurovis", "schindler2020", "schleicher-2011-VLSC", "Schmidlehner_Sandra_SbC", "schmidlehner2021", "schmidt-2011-mt", "schmidt-phd", "schmidt-phd", "schoellhuber-2008-asc", "scholz_2021", "Schrempf_2018", "Schrempf_2020", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schuh-2018-mesh-blending", "schultes_lampi", "Schulze_Florian_2013_CMI", "schwankl-2013-smis", "seyfert-2017", "shakhova-2023-atp", "sietzen-2019-wnn", "sietzen-2019-wnn", "sietzen-2021-perturber", "sietzen-2022-vacnnr", "sietzen-ifv-2019", "sifuentes-2018-crowd", "SifuentesGangl2017FIS", "sikachev_peter_2010_STLCI", "sikachev_peter-2011-dfc", "sikachev_peter-2011-incshad", "sikachev_peter-2011-metavis", "sikachev_peter-2011-protovis", "sikachev-2010-DFC", "sikachev-2010-ill_vis_vol_ren", "Sippl_Sebastian_EFG", "smiech-2018-tei", "Smisek_Michal_A3D", "Sollboeck_2011_FSS", "sollboeck-2011", "Solteszova-2009-VQN", "solteszova-2010-MOS", "Solteszova2016", "Sorger_2013_nMI", "sorger_2017_metamorphers", "sorger-2016-fowardabstraction", "sorger-2017-thesis", "sorger-2019-odn", "sorger-2021-egonet", "Soros_AVN_2011", "Soros-AV-2010", "Spechtenhauser_Florian_2016", "spegel-gruenberger-2020", "Spelitz2020", "spoerk-2010-hpgpu", "Stabel_2012_UDM", "stappen_2017_animatedcomic", "Staudacher_2022", "staudacher_florian-2016-topo3d", "stehno-2011-RVD", "steinboeck-2017-vbn", "steinboeck-2017-vefp", "steinboeck-2017-vefp", "steinboeck-2018-lbg", "STEINLECHNER-2019-ICT", "StickmanMax-shoetta-kampfer", "stoff-2025-pvu", "stoff-concepMap-2021", "StrakaVis2004", "stritzel2022", "Strohmayer-2018-BT", "sturl_2016_dynlabels", "suntinger-2008-etet", "suntinger-2008-tet", "Swoboda_Nicolas_VIT", "Swoboda2020", "szabo_patrik-2022-tour", "szabo-thesis", "takahashi-2019-acdt", "tekaya-2025-amo", "tekaya-2025-amo", "termeer-2006-000", "termeer-2007-covicad", "termeer-2008-scmr", "termeer-2008-vis", "termeer-2009-cvc", "termeer-2009-scmr", "textures-3d-printing", "thesis-kronsteiner", "thesis-tekaya", "Thomas-2018", "Thurner-2005-IVR", "toth-2007-ndd", "TR-186-2-05-01", "TR-186-2-05-02", "TR-186-2-05-03", "TR-186-2-05-04", "TR-186-2-05-06", "TR-186-2-05-07", "TR-186-2-05-08", "TR-186-2-06-01", "TR-186-2-06-02", "TR-186-2-06-03", "TR-186-2-06-04", "TR-186-2-07-02", "TR-186-2-07-03", "TR-186-2-07-04", "TR-186-2-07-05", "TR-186-2-07-06", "TR-186-2-07-07", "TR-186-2-07-08", "TR-186-2-07-10", "TR-186-2-07-11", "TR-186-2-07-12", "TR-186-2-08-01", "TR-186-2-08-02", "TR-186-2-08-03", "TR-186-2-08-04", "TR-186-2-08-05", "TR-186-2-08-06", "TR-186-2-08-07", "TR-186-2-08-08", "TR-186-2-08-10", "TR-186-2-08-11", "TR-186-2-08-12", "TR-186-2-08-14", "TR-186-2-09-01", "TR-186-2-15-03", "TR1862162", "Tramberger_2018", "Tramberger2017BCS", "Trautner_Thomas_2014_VAE", "trautner-2018-imd", "trautner-2018-imd", "travnicek-2017-thm", "Trenkwalder-2004-MAR", "tretyak-2025-tacmedvr", "Troidl_2019", "Troidl_2021", "Troidl_2022", "turner-aso", "tut-eg-2006", "tut-siggraph-2006", "tut-vis-2006", "tut-vis-2007", "tweebo-2014", "ulschmid-2024-reo", "ulschmid-2025-apc", "unger_2017", "unger-2019_vcp", "Unger2020", "unterguggenberger-2024-fropo", "usul-thesis", "vad_2015_phd", "Vad_Viktor_2015_RVV", "vad-2016-bre", "vaico", "varchola_andrej-2012-fetoscopic", "Vasileva_2022", "Vasileva-2018", "vessel2003", "Viola_2013_IDV", "Viola_Ivan_2013_CAI", "Viola_Ivan_2013_D3D", "Viola_Ivan_2013_DC", "Viola_Ivan_2013_GS", "Viola_Ivan_2013_HQ3", "Viola_Ivan_2013_RMA", "Viola_Ivan_2013_RSb", "Viola_Ivan_2013_SVA", "Viola_Ivan_2013_VCA", "Viola_Ivan_2015_AAM", "Viola_Ivan_2015_MCT", "Viola_Ivan_2015_VBS", "Viola_Ivan_CLD", "Viola_Ivan_DAC", "Viola_Ivan_IIP", "Viola_Ivan_UVP", "Viola_Ivan_VDP", "Viola-05-Smart", "Viola-2003-GPU", "Viola-2003-Har", "viola-2003-hbn", "Viola-2003-NON", "viola-2004-gbf", "Viola-2004-GPU", "viola-2004-har", "viola-2004-har2", "viola-2004-idv", "viola-2004-imp", "Viola-2004-ImpX", "Viola-2004-ImpX2", "viola-2005-imp", "viola-2006-FoA", "viola-evr", "Viola-Pondering-2017", "viola-popular-article-2006", "Viola-vistutillustrativevis", "vis-foa", "VisWeek-Tutorial-2012-Uncertainty", "vitruvian_2019", "voglreiter-2023-tro", "Vucenovic_2022", "vucini_2006", "vucini_2008_rnp", "vucini_2009", "vucini_erald-2007-FRI", "vucini-2009-phd", "vucini-2011", "Wagner_032017", "walchhofer_ar_flowmaps", "walchhofer-tso", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2016_Chameleon", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "Waldin_Nicholas_2017_FlickerObserver", "waldin-2017-thesis", "waldin-2019-ccm", "waldin-2019-ccm", "Waldner_2017_11", "Waldner_2017_11", "waldner-2013-facetCloudsGI", "waldner-2013-ubiWM", "waldner-2014-af", "waldner-2014-ghi", "waldner-2017-vph", "waldner-2018-ved", "waldner-2019-rld", "waldner-2020-tbg", "waldner-2021-leo", "waser_2011_VSD", "Waser-2010-WL", "webGPU_aggregateVis-2023", "weiner_2011", "Weissenboeck_2019", "Weissenboeck_2019_PhD", "weissenboeck-2014", "Wihann_2017", "wolf-2023-cc", "wolf-2024-jhd", "Woschizka_2021", "wu-2017-dagstuhl", "wu-2018-JVLC", "wu-2018-metabo", "wu-2018-shonan", "wu-2018-story", "wu-2019-bmc", "wu-2019-bmc", "wu-2019-report", "wu-2019-smw", "wu-2019-smwp", "wu-2019-vcbm", "wu-2019-visworkshop", "wu-2020-tvcg", "wu-2021", "wu-2021-vi", "xmastree2002", "xmastree2005", "ymca", "YOGHOURDJIAN2019", "Zambal-2003-SWA", "zambal-2005-3dact", "Zaufel_2021", "zauner-2013-svkinect", "zechmeister2020", "Zeng_2021", "Zhu-2014-flowvis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=vis", "__class": "Workgroup" } }, { "id": "UrbanViz", "workgroup_id": "rend", "drupal_id": 4280, "drupal_path": "/research/projects/UrbanViz", "name": "UrbanViz", "name_de": null, "short_title": "UrbanViz", "website": null, "status": "active", "short_abstract": "This project aims at the creation and real-time display of large and medium-scale urban environments.", "abstract": "The UrbanViz (Urban Visualization - Real-time Rendering of Urban Environments) project aims at the creation of an integrated solution for modeling and real-time visualization of large and medium-scale urban environments. This system can be the basis for applications like traffic and driving simulation, architectural simulations, information visualization and computer games. In the planning process it is useful to simulate the environment before changes in the real city are made. In this context three-dimensional computer simulation gained immense popularity, not only because it produces appealing graphics, but it is a more adequate representation for a three-dimensional environment and easier to understand than conventional 2D plans. Traffic simulation, visual impact analysis and information visualization for urban information systems are applications in the local planning area that would all profit from our framework.", "start_date": "1999-11-01", "end_date": "2003-10-31", "leader_id": { "id": 193, "drupal_id": 49, "orcid_id": "0000-0002-9370-2663", "website": "https://www.cg.tuwien.ac.at/staff/MichaelWimmer", "firstname": "Michael", "lastname": "Wimmer", "searchname": "Michael Wimmer", "is_teacher": true, "name": "Michael Wimmer", "publications": [ "arikan-2013-osn", "arikan-2014-pcvis", "arikan-2015-dmrt", "Arleo-2019-vis", "Artusi-2003-Del", "Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_Mistelbauer_2013_CSR", "bagar2010", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "Bittner-2001-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "BOKSANSKY-2019-RTS", "brugger-2020-tdp", "CADIK-2006-IAQ", "CADIK-2008-EHD", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "celarek_adam-2019-qelta", "celarek-2022-gmcn", "celarek-2025-d3g", "CHARALAMBOS-2007-HLOD", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "dataset-viennacity", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "erler_2024_ppsurf", "erler-2020-p2s", "erler-2025-lidarscout", "fink-2012-cg1", "fink-2013-cag", "freude_2020_rs", "freude-2023-prh", "freude-2023-sem", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "GRELAUD-2009-EPA", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "Habel_08_SSH", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2012_PSP", "Habel_LSN_2011", "Habel-2010-EIN", "hafner-2015-onff", "hecher-2014-MH", "HECHER-2017-HDY", "Honic_2021", "honic-2020-w78", "HU-2017-ETM", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2016-cescg", "ilcik-2016-cmssg", "JAHRMANN-2013-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-ISTAR", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "Jimenez_SSS_2015", "Kathi-2018-VRB", "kerbl-2020-improvencoding", "kerbl-2022-trienc", "kerbl-2024-ah3", "klaffenboeck-2024-rva", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "knecht-2011-CBCM", "KOCH-2021-GVS", "koenigsberger-2024-msu", "kovacs-2023-ttm", "KREUZER-2015-DPA", "Kroesl_2020_11_09", "kroesl-2017-LiteMaker", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2020-XREye", "leimer_2017_rbpesc", "leimer-2016-rpe", "LIPP-2008-IEV", "LIPP-2009-PGL", 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visibility preprocessing of urban environments. The algorithm uses a subdivision of line space to analytically calculate a conservative potentially visible set for a given region in the scene. We present a detailed evaluation of our method including a comparison to another recently published visibility preprocessing algorithm. To the best of our knowledge the proposed method is the first algorithm that scales to large scenes and efficiently handles large view cells.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1276, "image_height": 948, "name": "Bittner-2001-Vis-image.jpg", "type": "image/jpeg", "size": 262662, "path": "Publication:Bittner-2001-Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 198, 194, 193 ], "booktitle": "Proceedings of Pacific Graphics 2001 (Ninth Pacific Conference on Computer Graphics and Applications)", "editor": "Bob Werner", "isbn": "0-7695-1227-5", "lecturer": [ 198 ], "location": "Tokyo, Japan", "pages_from": "276", "pages_to": "284", "publisher": "IEEE Computer Society Press", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1276, "image_height": 948, "name": "Bittner-2001-Vis-image.jpg", "type": "image/jpeg", "size": 262662, "path": "Publication:Bittner-2001-Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bittner-2001-Vis-Paper.pdf", "type": "application/pdf", "size": 2616610, "path": "Publication:Bittner-2001-Vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/", "__class": "Publication" }, { "id": "Bittner-2003-Vis", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Visibility in Computer Graphics", "date": "2003-09", "abstract": "Visibility computation is crucial for computer\ngraphics from its very beginning. The first visibility algorithms in\ncomputer graphics aimed to determine visible surfaces in a synthesized\nimage of a 3D scene. Nowadays there are many different visibility\nalgorithms for various visibility problems. We propose a new taxonomy\nof visibility problems that is based on a classification according to\nthe problem domain. We provide a broad overview of visibility problems\nand algorithms in computer graphics grouped by the proposed\ntaxonomy. The paper surveys visible surface algorithms, visibility\nculling algorithms, visibility algorithms for shadow computation,\nglobal illumination, point-based and image-based rendering, and global\nvisibility computations. Finally, we discuss common concepts of\nvisibility algorithm design and several criteria for the\nclassification of visibility algorithms.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 198, 194 ], "issn": "0265-8135", "journal": "Environment and Planning B: Planning and Design", "number": "5", "pages_from": "729", "pages_to": "756", "volume": "30", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bittner-2003-Vis/", "__class": "Publication" }, { "id": "Bittner-2004-CHC", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Coherent Hierarchical Culling: Hardware Occlusion Queries Made Useful", "date": "2004-09", "abstract": "We present a simple but powerful algorithm for optimizing the usage of hardware occlusion queries in arbitrary complex scenes. Our method minimizes the number of issued queries and reduces the delays due to the latency of query results. We reuse the results of the occlusion queries from the last frame in order to initiate and schedule the queries in the next frame. This is done by processing nodes of a spatial hierarchy in front-to-back order, interleaving occlusion queries with the rendering of certain previously visible nodes. The proposed scheduling of the queries makes use of spatial and temporal coherence of visibility. Despite its simplicity, the algorithm achieves good culling efficiency for scenes of various characteristics. The implementation of the algorithm is straightforward, and it can be easily integrated in existing real-time rendering packages using various spatial data structures.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 160, "image_height": 96, "name": "Bittner-2004-CHC-image.jpg", "type": "image/jpeg", "size": 7299, "path": "Publication:Bittner-2004-CHC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 198, 193, 451, 190 ], "date_from": "2004-08-30", "date_to": "2004-09-03", "event": "EUROGRAPHICS 2004", "issn": "0167-7055", "journal": "Computer Graphics Forum", "lecturer": [ 193 ], "location": "Grenoble, France", "note": "Proceedings EUROGRAPHICS 2004", "number": "3", "pages_from": "615", "pages_to": "624", "volume": "23", "research_areas": [ "Rendering" ], "keywords": [ "occlusion query", "visibility", "real-time rendering", "occlusion culling" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 160, "image_height": 96, "name": "Bittner-2004-CHC-image.jpg", "type": "image/jpeg", "size": 7299, "path": "Publication:Bittner-2004-CHC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Bittner-2004-CHC-Paper.pdf", "type": "application/pdf", "size": 1105728, "path": "Publication:Bittner-2004-CHC", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/", "__class": "Publication" }, { "id": "bittner-2005-egsr", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast Exact From-Region Visibility in Urban Scenes", "date": "2005-06", "abstract": "We present a fast exact from-region visibility algorithm for 2.5D\nurban scenes. The algorithm uses a hierarchical subdivision of\nline-space for identifying visibility interactions in a 2D\nfootprint of the scene. Visibility in the remaining vertical\ndimension is resolved by testing for the existence of lines\nstabbing sequences of virtual portals. Our results show that exact\nanalytic from-region visibility in urban scenes can be computed at\ntimes comparable or even superior to recent conservative methods. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1179, "image_height": 962, "name": "bittner-2005-egsr-image.jpg", "type": "image/jpeg", "size": 44941, "path": "Publication:bittner-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 198, 194, 193 ], "booktitle": "Rendering Techniques 2005 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2005-06-29", "date_to": "2005-07-01", "editor": "Kavita Bala and Philip Dutré", "isbn": "3-905673-23-1", "lecturer": [ 198 ], "location": "Konstanz, Germany", "organization": "Eurographics", "pages_from": "223", "pages_to": "230", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "real-time rendering", "visibility" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1179, "image_height": 962, "name": "bittner-2005-egsr-image.jpg", "type": "image/jpeg", "size": 44941, "path": "Publication:bittner-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "bittner-2005-egsr-Paper.pdf", "type": "application/pdf", "size": 3449376, "path": "Publication:bittner-2005-egsr", "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz", "GameTools" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/", "__class": "Publication" }, { "id": "HUMMEL-2001-MSE", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Modellierung von Straßen für Echtzeitvisualisierung", "date": "2001", "abstract": "Diese Diplomarbeit ist die theoretische Abhandlung von VRMG, einem Softwareprojekt, das im\nRahmen des praktischen Teiles der Arbeit realisiert wurde und die Modellierung von Terrain und\nStraßen virtueller Städte zum Zwecke der Echzeit-Visualisierung bewerkstelligt. Ausgehend von\nden Vermessungsdaten in Form von geografischen Höhenwerten und dem Straßennetz, das als\nStraßengraph vorliegt, werden alle Schritte zur Umsetzung dieser Rohdaten in Geometriedaten für\ndie separate Modellerstellung des Terrains und der Straßenzüge behandelt. Der Schwerpunkt der\nArbeit liegt auf dem Anwendungsfall – Stadtstraßen. Somit umfaßt VRMG zahlreiche Elemente\nfür den Aufbau von Straßen, wie sie typischerweise im Stadtbereich zu finden sind. Dadurch ist es\nmöglich, zahlreiche Straßen-Konfigurationen aus der Realität nachzubilden. Das Terrain wird als\nkonventioneller, Regulärer-Raster erfaßt. Nach der Berechnung der Straßen- bzw.\nHöhenfeldgeometrie, die auf Grundlage von Beschreibungsfiles zur Eingabe der spezifischen\nParameter erfolgt, liegt das Ergebnis dieses Schrittes in polygonaler Repräsentationsform vor.\nDadurch, daß die Modell-Geometrie vorzugsweise für Echtzeitanwendungen eingesetzt wird, ist\ndie Aufbereitung der polygonalen Repräsentation durch Nachfolgeoperationen zur Optimierung\nder Geometrie bedeutsam. Durch die Verfahren der Delaunay-Triangulierung und des Triangle-\nStripping werden die Polygone mittels Dreieckszerlegung tesseliert und dadurch in eine Form\ngebracht, die die derzeitigen 3D-Hardwarebeschleunigerchips unterstützen. Das endgültige\nResultat wird als Szenegraph, der als Baumstruktur die Geometrie- und Texturierungdaten in\nhierarchischer Form aufnimmt, gespeichert und für die Verwendung, etwa als\nSimulationsumgebung, zur Verfügung gestellt.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 641 ], "date_end": "2001", "date_start": "2000", "matrikelnr": "0000000", "supervisor": [ 194 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "HUMMEL-2001-MSE-Thesis.pdf", "type": "application/pdf", "size": 1580567, "path": "Publication:HUMMEL-2001-MSE", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/HUMMEL-2001-MSE/HUMMEL-2001-MSE-Thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/HUMMEL-2001-MSE/HUMMEL-2001-MSE-Thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/HUMMEL-2001-MSE/", "__class": "Publication" }, { "id": "Jeschke-2002-LEM", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Layered Environment-Map Impostors for Arbitrary Scenes", "date": "2002-05", "abstract": "This paper presents a new impostor-based approach to\r\naccelerate the rendering of very complex static scenes. The scene\r\nis partitioned into viewing regions, and a layered impostor\r\nrepresentation is precalculated for each of them. An optimal\r\nplacement of impostor layers guarantees that our representation is\r\nindistinguishable from the original geometry. Furthermore the\r\nalgorithm exploits common graphics hardware both during\r\npreprocessing and rendering. Moreover the impostor representation\r\nis compressed using several strategies to cut down on storage\r\n space.", "authors_et_al": false, "substitute": "Jeschke-2002-LEMA", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193, 357 ], "number": "TR-186-2-02-12", "pages_from": "1", "pages_to": "8", "research_areas": [], "keywords": [ "environment maps", "impostors", "image-based rendering", "walkthroughs", "virtual environments" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Jeschke-2002-LEM-paper.pdf", "type": "application/pdf", "size": 489353, "path": "Publication:Jeschke-2002-LEM", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEM/Jeschke-2002-LEM-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEM/", "__class": "Publication" }, { "id": "Jeschke-2002-LEMA", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Layered Environment-Map Impostors for Arbitrary Scenes", "date": "2002-05", "abstract": "This paper presents a new impostor-based approach to\naccelerate the rendering of very complex static scenes. The scene\nis partitioned into viewing regions, and a layered impostor\nrepresentation is precalculated for each of them. An optimal\nplacement of impostor layers guarantees that our representation is\nindistinguishable from the original geometry. Furthermore the\nalgorithm exploits common graphics hardware both during\npreprocessing and rendering. Moreover the impostor representation\nis compressed using several strategies to cut down on storage\n space.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1272, "image_height": 1272, "name": "Jeschke-2002-LEMA-image.jpg", "type": "image/jpeg", "size": 163229, "path": "Publication:Jeschke-2002-LEMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193, 357 ], "booktitle": "Proceedings of Graphics Interface 2002", "date_from": "2002-05-27", "date_to": "2002-05-29", "editor": "Wolfgang Stürzlinger and Michael McCool", "isbn": "1-56881-183-7", "lecturer": [ 356 ], "location": "Calgary, CA", "pages_from": "1", "pages_to": "8", "publisher": "AK Peters Ltd.", "research_areas": [ "Rendering" ], "keywords": [ "virtual environments", "environment maps", "impostors", "walkthroughs", "image-based rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1272, "image_height": 1272, "name": "Jeschke-2002-LEMA-image.jpg", "type": "image/jpeg", "size": 163229, "path": "Publication:Jeschke-2002-LEMA", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/", "__class": "Publication" }, { "id": "Jeschke-2002-TDM", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Textured Depth Meshes for Real-Time Rendering of Arbitrary Scenes", "date": "2002-06", "abstract": "This paper presents a new approach to generate textured depth\r\nmeshes (TDMs), an impostor-based scene representation that can be\r\nused to accelerate the rendering of static polygonal models. The\r\nTDMs are precalculated for a fixed viewing region (view cell).\r\n\r\nThe approach relies on a layered rendering of the scene to produce\r\na voxel-based representation. Secondary, a highly complex polygon\r\nmesh is constructed that covers all the voxels. Afterwards, this\r\nmesh is simplified using a special error metric to ensure that all\r\nvoxels stay covered. Finally, the remaining polygons are resampled\r\nusing the voxel representation to obtain their textures.\r\n\r\nThe contribution of our approach is manifold: first, it can handle\r\npolygonal models without any knowledge about their structure.\r\nSecond, only scene parts that may become visible from within the\r\nview cell are represented, thereby cutting down on impostor\r\ncomplexity and storage costs. Third, an error metric guarantees\r\nthat the impostors are practically indistinguishable compared to\r\nthe original model (i.e. no rubber-sheet effects or holes appear\r\nas in most previous approaches). Furthermore, current graphics\r\nhardware is exploited for the construction and use of the\r\nimpostors.", "authors_et_al": false, "substitute": "Jeschke-2002-TDMR", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193 ], "number": "TR-186-2-02-13", "pages_from": "1", "pages_to": "11", "research_areas": [], "keywords": [ "Computer Graphics", "Walkthrough", "Rendering", "Impostors" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Jeschke-2002-TDM-paper.pdf", "type": "application/pdf", "size": 974004, "path": "Publication:Jeschke-2002-TDM", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDM/Jeschke-2002-TDM-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDM/", "__class": "Publication" }, { "id": "Jeschke-2002-TDMR", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Textured Depth Meshes for Real-Time Rendering of Arbitrary Scenes", "date": "2002-06", "abstract": "This paper presents a new approach to generate textured depth\nmeshes (TDMs), an impostor-based scene representation that can be\nused to accelerate the rendering of static polygonal models. The\nTDMs are precalculated for a fixed viewing region (view cell).\n\nThe approach relies on a layered rendering of the scene to produce\na voxel-based representation. Secondary, a highly complex polygon\nmesh is constructed that covers all the voxels. Afterwards, this\nmesh is simplified using a special error metric to ensure that all\nvoxels stay covered. Finally, the remaining polygons are resampled\nusing the voxel representation to obtain their textures.\n\nThe contribution of our approach is manifold: first, it can handle\npolygonal models without any knowledge about their structure.\nSecond, only scene parts that may become visible from within the\nview cell are represented, thereby cutting down on impostor\ncomplexity and storage costs. Third, an error metric guarantees\nthat the impostors are practically indistinguishable compared to\nthe original model (i.e. no rubber-sheet effects or holes appear\nas in most previous approaches). Furthermore, current graphics\nhardware is exploited for the construction and use of the\nimpostors.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 282, "image_height": 202, "name": "Jeschke-2002-TDMR-image.jpg", "type": "image/jpeg", "size": 14976, "path": "Publication:Jeschke-2002-TDMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193 ], "booktitle": "Rendering Techniques 2002 (Proceedings Eurographics Workshop on Rendering)", "date_from": "2002-06-26", "date_to": "2002-06-28", "editor": "Paul Debevec and Simon Gibson", "isbn": "1-58133-534-3", "lecturer": [ 356 ], "location": "Pisa, Italy", "organization": "Eurographics", "pages_from": "181", "pages_to": "190", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "Rendering", "Walkthrough", "Computer Graphics", "Impostors" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 282, "image_height": 202, "name": "Jeschke-2002-TDMR-image.jpg", "type": "image/jpeg", "size": 14976, "path": "Publication:Jeschke-2002-TDMR", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/", "__class": "Publication" }, { "id": "LEHNINGER-2007-SSV", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Simulation von städtischem Verkehr", "date": "2007-04", "abstract": "The task of this thesis is the simulation of urban traffic.\r\n\r\nFor this purpose the traffic library TrafLib was developed. TrafLib is a multi-agent, micro simulation for urban traffic. It is suitable for visualisation, e.g. urban visualisation software, driving simulators, computer games, virtual reality software, and so on. It enhances them and makes them more attractive.\r\n\r\nTrafLib requires a road-network in the form of an input file. The input file must contain the description of roads and crossings, and optionally traffic lights and traffic signs. Additionally to the own file description format, the format of VRMG is also supported. VRMG is a program for creating geometry of large road-networks.\r\n\r\nThe problem of traffic calculation is solved by handling traffic rules according to the Highway Code and the “Car-Following-Theory”. The vehicles are modelled as autonomous agents. Human characteristics are imitated by three different types of driving-behaviour (cautious, normal, aggressive).\r\n\r\nThe movement of the vehicles takes place on 1-dimensional lanes. This reduces the flexibility a little, but simplifies the calculation a lot.\r\n\r\nTrafLib is able to simulate more than 5000 vehicles on a road network of the size of 3 times 3 km in real-time on a standard-PC.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 684 ], "supervisor": [ 193 ], "research_areas": [], "keywords": [ "traffic simulation", "real-time rendering" ], "weblinks": [], "files": [ { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "LEHNINGER-2007-SSV-thesis.pdf", "type": "application/pdf", "size": 1537458, "path": "Publication:LEHNINGER-2007-SSV", "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LEHNINGER-2007-SSV/LEHNINGER-2007-SSV-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LEHNINGER-2007-SSV/LEHNINGER-2007-SSV-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LEHNINGER-2007-SSV/", "__class": "Publication" }, { "id": "PIRINGER-2003-HBOQ", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Occlusion Culling Using Hardware-Based Occlusion Queries", "date": "2003-07", "abstract": "Today, a major challenge of computer graphics is the generation of realistic images at rates that arouse the impression of fluid motion in the viewer. Of central importance in this context is the application of specialized hardware, which has experienced an impressive evolution in recent years, increasing both speed and functionality in a significant fashion. However, displaying complex scenes like whole cities requires dealing with such an amount of data, that dedicated acceleration algorithms are still necessary in order to cope with the tight temporal constraints. In doing so, methods for detecting invisible parts of the scenery play a key role. A particular challenge is classifying those objects in an efficient way which are invisible due to being entirely occluded by other objects in front of them. Although this visibility problem belongs to the classical tasks of computer graphics, just recently introduced extensions to the graphics hardware permit the design of new algorithms with fascinating opportunities, but also requirements that have been of no concern to previous approaches.\r\n\r\nThis master thesis deals with the task of developing an efficient algorithm for solving the visibility problem for arbitrary scenes, which is tailored towards the NV_occlusion_query OpenGL extension, in different ways:\r\n\r\nOne method approximates the potential occlusion within a given scenery from a certain viewpoint by constructing a directed acyclic graph, which is in turn used to be able to issue as many occlusion queries as possible in a concurrent fashion. Several extensions amend and improve the core algorithm by employing a more equal load balancing and exploiting both temporal and spatial coherence. Finally, this approach is extended by incorporating an appropriate spatial hierarchy.\r\n\r\nAlthough this technique is by and large significantly superior to rendering without occlusion culling, the obtained results are not satisfactory in every respect. Therefore, a second approach is proposed that does not rely on any graph. This hierarchical algorithm depends entirely on the visibility classification of previous frames and stresses thus the aspect of temporal coherence. Even though it is considerably simpler than the first approach, it yields superior and generally convincing results.\r\n\r\nBoth approaches are conservative (which means that they do not affect the correctness of the resulting image), but can easily be modified in a way that permits to trade off quality for speed by tolerating precisely definable mistakes.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 451 ], "supervisor": [ 193 ], "research_areas": [], "keywords": [ "real-time rendering", "occlusion queries", "occlusion culling" ], "weblinks": [], "files": [ { "description": "", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "PIRINGER-2003-HBOQ-thesis.pdf", "type": "application/pdf", "size": 1448952, "path": "Publication:PIRINGER-2003-HBOQ", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/PIRINGER-2003-HBOQ/PIRINGER-2003-HBOQ-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/PIRINGER-2003-HBOQ/PIRINGER-2003-HBOQ-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/PIRINGER-2003-HBOQ/", "__class": "Publication" }, { "id": "TR-186-2-02-04", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "An Error Metric for Layered Environment Map Impostors", "date": "2002-02", "abstract": "Impostors are image-based primitives commonly used to replace complex geometry in order to accelerate the\nrendering of large virtual environments. This paper describes\na “layered impostor technique” used for representing distant scene-parts when seen from a bounded viewing region. A special layer placement is derived\nwhich bounds the geometric error introduced by parallaxes to a defined value. In combination with a special\ntechnique for image generation, a high-quality impostor representation without image artifacts can be obtained.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 819, "image_height": 318, "name": "TR-186-2-02-04-image.jpg", "type": "image/jpeg", "size": 83442, "path": "Publication:TR-186-2-02-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 356, 193 ], "number": "TR-186-2-02-04", "research_areas": [ "Rendering" ], "keywords": [ "impostors, real-time rendering, virtual" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 819, "image_height": 318, "name": "TR-186-2-02-04-image.jpg", "type": "image/jpeg", "size": 83442, "path": "Publication:TR-186-2-02-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Technical report", "main_file": true, "use_in_gallery": false, "access": "public", "name": "TR-186-2-02-04-Technical report.pdf", "type": "application/pdf", "size": 400627, "path": "Publication:TR-186-2-02-04", "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-Technical report.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-Technical report:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/", "__class": "Publication" }, { "id": "Wimmer-1999-FWIa", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Fast Walkthroughs with Image Caches and Ray Casting", "date": "1999-06", "abstract": "We present an output-sensitive rendering algorithm for accelerating walkthroughs of large, densely occluded virtual environments using a multi-stage Image Based Rendering Pipeline. In the first stage, objects within a certain distance are rendered using the traditional graphics pipeline, whereas the remaining scene is rendered by a pixel-based approach using an Image Cache, horizon estimation to avoid calculating sky pixels, and finally, ray casting. The time complexity of this approach does not depend on the total number of primitives in the scene. We have measured speedups of up to one oder of magnitude.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 774, "image_height": 580, "name": "Wimmer-1999-FWIa-image.jpg", "type": "image/jpeg", "size": 101454, "path": "Publication:Wimmer-1999-FWIa", "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 402, 202 ], "booktitle": "Virtual Environments '99. Proceedings of the 5th Eurographics Workshop on Virtual Environments", "editor": "Michael Gervautz and Dieter Schmalstieg and Axel Hildebrand", "isbn": "3-211-83347-1", "lecturer": [ 193 ], "organization": "Eurographics", "pages_from": "73", "pages_to": "84", "publisher": "Springer-Verlag Wien", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 774, "image_height": 580, "name": "Wimmer-1999-FWIa-image.jpg", "type": "image/jpeg", "size": 101454, "path": "Publication:Wimmer-1999-FWIa", "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/", "__class": "Publication" }, { "id": "Wimmer-1999-FWIb", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Fast Walkthroughs with Image Caches and Ray Casting", "date": "1999-12", "abstract": "We present an output-sensitive rendering algorithm for accelerating walkthroughs of large, densely occluded virtual environments using a multi-stage Image Based Rendering Pipeline. In the first stage, objects within a certain distance are rendered using the traditional graphics pipeline, whereas the remaining scene is rendered by a pixel-based approach using an Image Cache, horizon estimation to avoid calculating sky pixels, and finally, ray casting. The time complexity of this approach does not depend on the total number of primitives in the scene. We have measured speedups of up to one oder of magnitude.", "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 402, 202 ], "issn": "0097-8493", "journal": "Computers and Graphics", "number": "6", "pages_from": "831", "pages_to": "838", "volume": "23", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIb/", "__class": "Publication" }, { "id": "Wimmer-2001-PBI", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Point-Based Impostors for Real-Time Visualization", "date": "2001-09", "abstract": "We present a new data structure for encoding the appearance of a geometric model as seen from a viewing region (view cell). This representation can be used in interactive or real-time visualization applications to replace a complex model by an impostor, maintaining high quality rendering while cutting down rendering time. Our approach relies on an object-space sampled representation similar to a point cloud or a layered depth image, but introduces two fundamental additions to previous techniques. First, the sampling rate is controlled to provide sufficient density across all possible viewing conditions from the specified view cell. Second, a correct, antialiased representation of the plenoptic function is computed using Monte Carlo integration. Our system therefore achieves high quality rendering using a simple representation with bounded complexity. We demonstrate the method for an application in urban visualization.", "authors_et_al": false, "substitute": "Wimmer-2001-Poi", "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 194, 195 ], "number": "TR-186-2-01-15", "pages_from": "1", "pages_to": "15", "research_areas": [], "keywords": [ "impostors", "point-based rendering", "real-time rendering", "urban visualization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer-2001-PBI-paper.pdf", "type": "application/pdf", "size": 2348210, "path": "Publication:Wimmer-2001-PBI", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-PBI/Wimmer-2001-PBI-paper.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-PBI/", "__class": "Publication" }, { "id": "Wimmer-2001-Poi", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Point-Based Impostors for Real-Time Visualization", "date": "2001-06", "abstract": "We present a new data structure for encoding the appearance of a geometric model as seen from a viewing region (view cell). This representation can be used in interactive or real-time visualization applications to replace a complex model by an impostor, maintaining high quality rendering while cutting down rendering time. Our approach relies on an object-space sampled representation similar to a point cloud or a layered depth image, but introduces two fundamental additions to previous techniques. First, the sampling rate is controlled to provide sufficient density across all possible viewing conditions from the specified view cell. Second, a correct, antialiased representation of the plenoptic function is computed using Monte Carlo integration. Our system therefore achieves high quality rendering using a simple representation with bounded complexity. We demonstrate the method for an application in urban visualization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 155, "name": "Wimmer-2001-Poi-image.jpg", "type": "image/jpeg", "size": 12891, "path": "Publication:Wimmer-2001-Poi", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 194, 195 ], "booktitle": "Rendering Techniques 2001 (Proceedings Eurographics Workshop on Rendering)", "editor": "Steven J. Gortler and Karol Myszkowski", "isbn": "3-211-83709-4", "lecturer": [ 193 ], "organization": "Eurographics", "pages_from": "163", "pages_to": "176", "publisher": "Springer-Verlag", "research_areas": [ "Rendering" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 250, "image_height": 155, "name": "Wimmer-2001-Poi-image.jpg", "type": "image/jpeg", "size": 12891, "path": "Publication:Wimmer-2001-Poi", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer-2001-Poi-Paper.pdf", "type": "application/pdf", "size": 2348210, "path": "Publication:Wimmer-2001-Poi", "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/", "__class": "Publication" }, { "id": "Wimmer-2003-RTE", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Rendering Time Estimation for Real-Time Rendering", "date": "2003-06", "abstract": "This paper addresses the problem of estimating the rendering time for a real-time simulation. We study different\nfactors that contribute to the rendering time in order to develop a framework for rendering time estimation. Given\na viewpoint (or view cell) and a list of potentially visible objects, we propose several algorithms that can give\nreasonable upper limits for the rendering time on consumer hardware. This paper also discusses several implementation\nissues and design choices that are necessary to make the rendering time predictable. Finally, we lay\nout two extensions to current rendering hardware which would allow implementing a system with constant frame\nrates.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 484, "image_height": 388, "name": "Wimmer-2003-RTE-image.jpg", "type": "image/jpeg", "size": 28960, "path": "Publication:Wimmer-2003-RTE", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 194 ], "booktitle": "Rendering Techniques 2003 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2003-06-25", "date_to": "2003-06-27", "editor": "Per Christensen and Daniel Cohen-Or", "isbn": "3-905673-03-7", "lecturer": [ 193 ], "location": "Leuven, Belgium", "organization": "Eurographics", "pages_from": "118", "pages_to": "129", "publisher": "Eurographics Association", "research_areas": [ "Rendering" ], "keywords": [ "graphics hardware", "real-time rendering" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 484, "image_height": 388, "name": "Wimmer-2003-RTE-image.jpg", "type": "image/jpeg", "size": 28960, "path": "Publication:Wimmer-2003-RTE", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image:thumb{{size}}.png" }, { "description": null, "filetitle": "Paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Wimmer-2003-RTE-Paper.pdf", "type": "application/pdf", "size": 2433769, "path": "Publication:Wimmer-2003-RTE", "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-Paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-Paper:thumb{{size}}.png" } ], "projects_workgroups": [ "UrbanViz" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/", "__class": "Publication" }, { "id": "Wimmer-2004-LSPM", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Light Space Perspective Shadow Maps", "date": "2004-06", "abstract": "In this paper, we present a new shadow mapping technique that improves the quality of perspective and uniform shadow maps. Our technique uses a perspective transform specified in light space which allows treating all lights as directional lights and does not change the direction of the light sources. This gives all the benefits of the perspective mapping but avoids the problems inherent in perspective shadow mapping like singularities in post-perspective space, missed shadow casters etc. Furthermore, we show that both uniform and perspective shadow maps distribute the perspective aliasing error that occurs in shadow mapping unequally over the available z-range. We therefore propose a transform that equalizes this error and gives equally pleasing results for near and far viewing distances. Our method is simple to implement, requires no scene analysis and is therefore as fast as uniform shadow mapping.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 928, "image_height": 464, "name": "Wimmer-2004-LSPM-image.jpg", "type": "image/jpeg", "size": 82022, "path": "Publication:Wimmer-2004-LSPM", "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 193, 452, 190 ], "booktitle": "Rendering Techniques 2004 (Proceedings Eurographics Symposium on Rendering)", "date_from": "2004-06-21", "date_to": "2004-06-23", "editor": "Alexander Keller and Henrik W. 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"Auzinger_2012_GeigerCam", "Auzinger_2013_AnaVis", "Auzinger_2013_NSAA", "Auzinger_2013_SAR", "Auzinger_2014_DCGI", "Auzinger_2014_UJA", "Auzinger-2014-WiGr", "Auzinger-2015-IST", "auzinger-2015-phd", "auzinger-2015-utokyo", "auzinger-dissertation", "auzinger-thesis", "bagar_2008", "BAGAR-2010-LPB", "bagar2010", "balvan-g", "balvan-rsf", "BARSUKOV-2010-NEPC", "bauchinger-2007-mre", "Bauer_Dominik_2018_VR", "BAUER-2009-AFSS", "BAUER-2024-PWG", "BAUER-2025-PCW", "beck-2007-melk", "beham_2009.2009-EVS", "BEHAM-2014-RCR", "beleznai_csaba-2025-pr", "belic_dejan_pr", "Bernhard_Matthias_2014_VAC", "bernhard-2010-gph", "bernhard-2011-bmtf", "bernhard-2011-bmtf", "bernhard-2011-maicg", "bernhard-2014-EFD", "bernhard-2014-GTOM", "bhagvat-09-frusta", "birsak-2013-sta", "birsak-2014-agtb", "birsak-2017-dpe", "birsak-2017-dpe", "Birsak-Michael-2012", "birsak-thesis", "birsak-thesis", "Birsak2018-SA", "Bittner-2001-Vis", "Bittner-2003-Vis", "Bittner-2004-CHC", "bittner-2005-egsr", "bittner-2005-egsr", "BITTNER-2009-AGVS", "BITTNER-2009-GEFOC", "bittner-2011-scc", "bodzenta-2026-baa", "Bogner-2008-MTh", "boindl_2013", "BOKSANSKY-2019-RTS", "BORZA-2012-Stellarium", "brandmair-2024-bind", "brandmair-2024-rust", "brandmair-2025-rub", "Brandorff_06_PON", "Brandorff_06_SKIN", "brenner_simon-2013-ba", "brugger-2020-tdp", "brugger-2020-tsdpbr", "brugger-2020-tsdpbr", "brunner_lukas_2022_ssb", "Brusi-2001-Opt", "CADIK-2006-IAQ", "CADIK-2008-EHD", "Calatrava_2013_GPGPUSOA", "cardoso-2021-cost", "cardoso-2022-rtpercept", "cardoso-2024-r-c", "cardoso-thesis", "cech-2023-taa", "celarek_adam-2012-rrmro", "celarek_adam-2019-qelta", "celarek_adam-2019-qelta", "CELAREK-2017-QCL", "CELAREK-2017-QCL", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-2022-gmcn", "celarek-thesis", "CHARALAMBOS-2007-HLOD", "charpenay-2013-PR", "charpenay-2014-sgn", "Che-2025", "CHIU-2008-PEN", "clemenz_2019_rosy_fields", "CORNEL-2010-VIS", "CORNEL-2014-AFRS", "CORNEL-2017-FRS", "CORNEL-2019-IVF", "csecsy-fcd", "darovskikh_leonid-2025-prj", "dataset", "dataset-cat", "dataset-chair", "dataset-dragon", "dataset-duck", "dataset-ferris-wheel", "dataset-penguin", "dataset-strauss", "dataset-tramway", "dataset-viennacity", "daubner-2007-HDR", "deak-a3", "deix-2008-rcp", "dellmour-2013-grs", "depner_dennis-2020-baa", "depner_dennis-2022-maa", "Derflinger-2024-RTTW", "Derflinger-2026-RTTW2", "Devlin-2002-STA", "dodik-2017-pcbpt", "Doerflinger-2016-CDV", "Dogangonul-2013-sparkGL", "druml-2010-PFL", "Druml-2013-3DrC", "dusberger-2010-msm", "ecormier-nocca-2025-sls", "eibens-2021-tsgpmg", "eibensteiner-2016-pmg", "eibensteiner-2021-pmcg", "eickmeyer-2027-tcd", "EISEMANN-2011-RTS", "EISEMANN-2012-ERT", "EISEMANN-2013-ERT", "elagrod_ahmed-baa", "Erhardt_2025_Scutes", "Erhardt_Seirlehner-2024-TamashiiIntegration", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_2024_ppsurf", "erler_philipp-2016-femfluid-prakt", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "erler_philipp-2017-phd", "ERLER-2017-HVR", "erler-2020-p2s", "erler-2020-p2s", "erler-2020-p2s", "erler-2025-lidarscout", "ERNST-2010-IOOC", "ernst-2013-fif", "ESBERGER-2016-AHO", "ESCHNER-2019-GDT", "fan-2014-scfl", "fan-2014-scfl", "Fauster-06-st", "Felberbauer_2012_AG", "fiedler-2009-php", "fiedler-2022-vlk", "fink-2012-cg1", "fink-2013-cag", "fink-2013-gvp", "Fischer-2018-sssvr", "fitzinger_andreas-daa", "fizimayer-2007-art", "fleiss-2015-da", "forsythe-2016-ccm", "FRAISS-2017-PCU", "fraiss-2019-rtx", "FRAISS-2022-CGMM", "fraissl_niklas-2023-pra", "freude_2020_rs", "Freude_MSc", "FREUDE-2015-phd", "freude-2023-prh", "freude-2023-prh", "freude-2023-sem", "freude-2023-sem", "freude-2025-iso", "freude-2025-iso", "freude-2025-ras", "Fritz-2012", "fruehstueck-2008-gpu", "fuchs_peter-2024-baa", "fuericht_2025_prj", "fuericht_elias-2025-prj", "Fuericht-2026-FPD", "Fuerst_2014_BSc", "Fuerst-2009-dfr", "FUERST-2013-RTWS", "Fuerst-Bachelor-2013", "G_P_06_RFS", "GAHR-2013-AGM", "gamper_2008_or", "GAMPER-2018-OSG", "gamsjaeger-2022-proc", "gangl-2018-cgbase", "GANTNER-2018-ARO", "GANTNER-2019-CRS", "GEBHART-2008-AGV", "gersthofer_2017_COP", "gersthofer-2016-sosob", "geyer_lukas_2015_prj", "geyer_lukas-2014-bat", "geyer-2018-apbf", "giefing_juergen-2013-ba", "GIEGL-2006-QVS", "GIEGL-2007-FVS", "GIEGL-2007-QV1", "GIEGL-2007-UNP", "gilmutdinov-2022-aomlbwug", "glanz-2017-pbrcomparison", "goel-2024-rdr", "goetz_johann-cagmfp", "Goldmann_2011_GPU", "gramegna-rfr", "Grasberger_08_VV", "Grasberger_2008_ISR", "grasberger_2009_CSB", "GRELAUD-2009-EPA", "GRIESHOFER-2018-GOS", "Grisenti-2026-HSHPG", "grosse-2009-avp", "Grossfurtner-2023-paego", "grossmann-2016-baa", "gruber_horst-2019-baa", "Gruber2019", "Guerrero_Paul_2014_EPG", "guerrero-2008-dip", "guerrero-2008-sli", "Guerrero-2014-GRF", "Guerrero-2014-TPS", "guerrero-2015-lsp", "gurtler-2014-ssggm", "Gusenbauer_Matthias_2015_ANM", "Habel_07_xms", "Habel_08_SSH", "Habel_09_PGT", "Habel_09_PGT", "Habel_2007_IAG", "Habel_2007_RTT", "Habel_2009_PhD", "Habel_2012_PSP", "Habel_LSN_2011", "Habel_RAV_2010", "Habel-09-RAT", "Habel-09-THB", "Habel-2010-EIN", "hafner_christian-2013-oflow", "hafner-2015-eigf", "HAFNER-2015-FEM", "hafner-2015-onff", "halbritter-2024-m2m", "hamzic_ademir-baa", "hanko-2019-ani", "HANN_2022_IPT", "harisch-mvs", "Hartl_2006_OgC", "hasbay-2026-tfo", "hatzinger-2026-baa", "hauer_alex-2013-ba", "havran-2005-egsr", "havran-2005-sccg", "havran-2006-tut", "Hebart-2011-ColorAdjustment", "HECHER-2010-3DS", "hecher-2012-MH", "hecher-2014-MH", "HECHER-2017-HDY", "heinz-2019-psi", "heiss-rfr", "herzberger-2021-cmake", "hofer_kerstin-2023-sketch2model", "hoffer-toth-com", "holom_2025-prj", "Holzer-06-HDR", "Honic_2021", "hornacek-2010-evp", "horvath_imp", "houska-2020-IPGM", "HU-2017-ETM", "huber-2025-esl", "huerbe-2019-BA", "HUMMEL-2001-MSE", "Ilcik_2015_LAY", "ilcik-2010-ps", "ilcik-2011-pmous", "ilcik-2013-cipmi", "ilcik-2013-pmsg", "ilcik-2014-cgbpmi", "ilcik-2016-cmssg", "ILCIK-phdthesis", "ilcikova-thesis", "intel2016", "Ishmukhametov_Denis_2011_EIN", "jafari-2023-avk", "jahrmann_klemens_KFR", "JAHRMANN-2013-IGR", "JAHRMANN-2015-GRASS", "JAHRMANN-2016-IGR", "JAHRMANN-2017-RRTG", "jeschke-05-AIP", "jeschke-05-AIP", "jeschke-05-ARI", "jeschke-05-ISTAR", "jeschke-09-praguetalk", "jeschke-09-rendering", "jeschke-09-solver", "Jeschke-2002-LEM", "Jeschke-2002-LEMA", "Jeschke-2002-TDM", "Jeschke-2002-TDMR", "JESCHKE-2007-ISC", "jeschke-2010-diff", "jeschke-2011-est", "jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", "koeppel-2016-baa", "Koeppl-2023-DLO", "koessler-2013-BA", "Kogelnig_Philip-2008-OGC", "kohlhas_jakob-2023-pra", "Kollmann-2015-DoF", "komon-2026-rso", "Komon2022", "konrad-2020-baa", "Kovacs_2017", "kovacs-2023-ttm", "kovacs-2025-pf", "kozonits_marcel-2025-baa", "kralicek_sebastian_baa", "KREUZER-2014-DPA", "KREUZER-2015-DPA", "kreuzer-2016-isf", "KREUZER-2017-PBF", "kristmann-2022-occ", "kristmann-2023-vkl", "KRISTMANN-24-JPG", "kristmann-thesis", "Kroesl_2020_11_09", "Kroesl_Katharina_2016_PPT", "kroesl-2012-rtpm", "kroesl-2017-LiteMaker", "kroesl-2018-DC", "kroesl-2018-TVS", "kroesl-2019-ICthroughVR", "kroesl-2019-MoD", "KROESL-2020-SVI", "kroesl-2020-XREye", "kubicek-2024-baa", "KUE11", "kuehtreiber-2010-ikph", "Kugler-2021", "kusternig-2009-rtr", "laager_florian-2013-camr", "laager_florian-2014-daa", "labschuetz-2010-bms", "labschuetz-2011-rsr", "Lan25", "landauer-2022-kido", "lang_jakob-2022-baa", "Langer_2013_ExactGeom", "lazarevic-tci", "LEHNINGER-2007-SSV", "leimer_2017_rbpesc", "leimer_2020-cag", "leimer_2020-cag", "leimer_2020-cag", "leimer-2013-esopc", "leimer-2014-fsco", "leimer-2016-coan", "leimer-2016-rpe", "leimer-2018-sar", "leimer-2018-sar", "leimer-2023-ecd", "LEOPOLD-2017-ALG", "leopold-2019-vox", "leutschacher_2025_prj", "Liang-2023-TVR", "lipp_markus-2010-DAC", "LIPP-2007-CGA", "LIPP-2008-IEV", "LIPP-2009-PGL", "LIPP-2009-PGL2", "LIPP-2010-PGMS", "lipp-2019-rtxq3", "LIPP-2020-PHD", "lipp-2024-val", "lipp2011a", "liu-2012-tcvd", "Luidolt-2020-DA", "luidolt-2020-lightperceptionVR", "Luksch_2007_RHR", "luksch_2008_asm", "luksch_2020", "LUKSCH-2009-BBC", "LUKSCH-2013-FLM", "LUKSCH-2014-RTR", "LUKSCH-2019-IGI", "Lupu-2026-Cloth", "macho_jonas-2024-baa", "MAESTRI-2012-MRW", "manpreet_kainth-2012-rus", "Mantler-06-landscape", "MANTLER-2007-DMBBC", "marek-2011-normalest", "marin-2022-sig", "marin-2022-sigdt", "marin-2023-pic", "marin-2024-dsr", "marin-2024-pcp", "marin-2024-pcp", "marin-2024-rcf", "marin-2024-sing", "marin-thesis", "markovich_aleksandar-2022-maa", "Martinez-2015-TTB", "maschek-2010-rts", "matt2011", "MATTAUSCH-2006-AVC", "mattausch-2007-iav", "MATTAUSCH-2007-OSP", "mattausch-2008-CHC", "mattausch-2010-tao", "mattausch-2010-var", "Mattausch-2010-vcr", "MATTAUSCH-2012-EOV", "MATTAUSCH-2012-TIS", "MATTAUSCH-2013-FSBE", "MATTAUSCH-2015-CHCRT", "mayer_2011_cipa", "MAYER-2010-MTX", "Mayer-2010-VT", "mayr_patrick_maa", "Mayrhauser-2016-Cnc", "MAYRHAUSER-2016-SCA", "mazza-2012-bakk", "Meier_2024_WIALT", "Meier_2024_WIALT", "MeierStauffer-2013-iihf", "metzger-2024-smv", "micu_2025-prj", "miklautsch_florian-baa", "MOELLINGER-2010-SD", "MORARU-2014-CPD", "mortezapoor-2022-photogrammabot", "Mortezapoor2021ssc", "Muehlbacher_2012_RRM", "Muehlbacher_2012_RTR", "MuehlbacherArbesser-2009-LMDLightcuts", "MUEHLBERGER-2010-AFSM", "mueller-2024-rbt", "mujadzic_iman_baa", "mujadzic-2023-hfp", "murturi_PGG", "musialski_2012_aachen", "musialski_2012_fice", "musialski_2016_sosp", "musialski-2012-icb", "musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", 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"jeschke-2011-esttalk", "jeschke-2011-talkPrague", "Jia-thesis", "Jimenez_SSS_2015", "jira_marcel-2024-baa", "JORDAKIEVA-2017-VFR", "KAFKA-2014-19MRD", "kaipel_nikolas-2025-baa", "kapferer_2021_advancing", "karampekios_anastasios-prj", "Kathi-2018-VRB", "kazda-tmd", "Keilman2022", "kendlbacher-2016", "kenzel_michael_2021_cuda", "kerbl_2019_planet_poster", "kerbl_2021_hdg", "kerbl-2020-improvencoding", "kerbl-2022-cuda", "kerbl-2022-trienc", "kimmersdorfer-2021-mzip", "kimmersdorfer-2024-vcpr", "klaffenboeck-2024-rva", "klaffenboeck-thesis", "KLAUS-2020-PCC", "klein-2020-rtgi", "kment_2008_cc", "knecht_2013_RSM", "knecht_martin_2010_DIR", "knecht_martin_2012_BRDFEstimation", "knecht_martin_2012_RSMR", "knecht_martin_2013_ReflRefrObjsMR", "knecht_martin-2011-FPSPAR", "Knecht_Schwaerzler_2008_ash", "knecht-2007-ao", "knecht-2009-MKN", "knecht-2009-TAS", "knecht-2011-CBCM", "knoetzl_alexander-2025-prj", "koch-2019-PR", "KOCH-2021-GVS", "KOCH-2021-GVSDA", "koenigsberger-2024-msu", 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"musialski-2012-sur", "Musialski-2013-ipmum", "musialski-2013-prag", "musialski-2013-surcgf", "musialski-2015-ista", "musialski-2015-pixel", "musialski-2015-souos", "musialski-2015-vrvis", "nawrocki-2024-nsr", "negi_ashish-2023-baa", "Neum03CAMR", "Neum04GCM", "neumann-2004-aip", "Neumann-2004-HOB", "neumann-2004-ipm", "neumann-2006-gamma", "neumann-sfd", "Niederreiter_2011_SM", "NIEDERREITER-2010-SIM", "NK_2011", "novak_martin-2018-baa", "Nuernberg-2011-CBO", "ohrhallinger_stefan-2011-001", "ohrhallinger_stefan-2012-mle", "ohrhallinger_stefan-2013-c2d", "ohrhallinger_stefan-2013-smi", "ohrhallinger_stefan-2018-cgf", "ohrhallinger_stefan-2018-pg", "ohrhallinger_stefan-2022-it1", "ohrhallinger_stefan-2022-tut", "ohrhallinger_stefan-2023-con", "ohrhallinger_stefan-2024-inv", "ohrhallinger-2016-sgp", "ohrhallinger-2016-sgp", "ohrhallinger-2021-egs", "ohrhallinger-2022-e2t", "ohrhallinger-stefan-2012-the", "OPPITZ-2017-3DM", "oppitz-2023-ais", "OPPTIZ-2018-IVRL", "OTEPKA-2020-PPC", "ott-rgi", "ott-va", "Pajer-2006-tmcg", "pakkanen-2026-prj", "panfili-2019-VAVR", "panfili-2021-myop", "pangerl_2013_GPD", "papantonakis-2024-rmf", "parakkat-2024-ballmerge", "parakkat-2024-ballmerge", "PARZER-2010-STELL", "PB-VRVis-2018-005", "pegrisch_2018_uvs", "Pel-2026", "PERNDORFER-2015-ECS", "pernsteiner-2022-msh", "pernsteinre_jakob_2020_eechc", "Petersen_Viktoria-2024-SBO", "pezenka_lukas2012-bspcga", "pichler_2022_fro", "pichler_2022_fro", "PIRINGER-2003-HBOQ", "pirraku-f", "piskernik-2010-eud", "pistellato-2023-elp", "PLUCH-2009-ANP", "PODARAS-2017-ACRS", "Podaras-praktikum-2016", "pogrzebacz-2014-gggm", "pogrzebacz-2023-vkl", "pointner_michael-2017-baa", "pointner_simon-2022-maa", "POLLAK-2016-STEREO", "polzer-sog", "pr10", "praeauer-2011-et", "Prast_Stefanie_2013-CLG", "preiner_2010_GIPC", "preiner_2012_AS", "preiner_2012_AS", "Preiner_2019", "PREINER-2009-GIPC", "preiner11IR", "preiner2014clop", "preissegger-2025-vrh", "Preymann-2022-pytamashii", "prieler_11_patchmatch", "prieler_daniel-2013-da", "prieler_daniel-2013-pra", "probst_kolesik_2010_pk10", "probst-2023-para", "proelss-bdp", "prohaska_julia-2023-baa", "prost-2016-molecule", "PROST-2019-RTPAL", "Przemyslaw_Gora_2016_UVU", "PUEYO-2019-SCL", "Purgathofer_2012_IVA", "purgathofer-1988-simple", "purgathofer-2004-asp", "purgathofer-2004-comp", "purgathofer-2004-neue", "purgathofer-2004-real", "purgathofer-2004-some", "Purgathofer-2005-Ros", "Purgathofer-2005-Tub", "Purgathofer-2006-VRVis", "Purgathofer-2009-rus", "purgathofer-2010-cgtrends", "Purgathofer-2014-EurasiaGr", "radax-2008-ir", "RADAX-2010-LOD", "radax-2010-RTL", "Radax2008", "radits_2011_gahdr", "Radwan_2021_Occ", "Radwan-2014-CDR", "Radwan-2017-Occ", "radwan-thesis", "Rainer_2017", "rait_alexius-2021-baa", "Rait2022", "rasch_martina-2013-HDRImage", "rasoulzadeh-2022-strokes2surface", "rasoulzadeh-2024-strokes2surface", "RAUCH-2011-TMS", "recheis-2009-arr", "REICHHOLF-2023-HRO", "Reichinger-12", "reiher_joerg-2023-pra", "reiher-joerg-2024-daa", "Reimerth_Saskia_2016_RGU", "REINALTER_2010_VIS", "reinwald-2017-baa", "reisinger-2023-iad", "Reisner_2013_RSB", "Reisner_Irene_2013_R3D", "reitsamer-2008-tsud", "reznicek-2020-fpgaray", "richter-2020-ani", "riegler_2020_framework", "roch-2007-rtt", "Roch2006", "Roegner_RHF_2010", "ROEGNER-2014-TUI", "ROEGNER-2015-IBR", "ROESSLER-2012-OGLES", "roth_2021_vdst", "roth_vdi", "roth-2023-vlk", "rozanics-lsf", "rubik_michael-2022-baa", "Rudolf_06_IDM", "rumpelnik_martin_2020_PRM", "rumpelnik_martin_2020_PRM", "Rumpelnik_Martin-2020-NPR", "rumpelnik-2022-vlk", "rumpler_2019_PPC", "Rumpler-2019-PPC", "RUMPLER-2021-VOGL", "rumpler-2023-dcmcm", "S05", "SABADELLO-2006-HEG", "sakai_2013", "SAKAI-2015-EAPI", "sakai-2021-eif", "sakai-2024-asa", "sakai-2025-stater", "sakai-thesis", "santos-2017-dacge", "sari2008mt", "SATZER-2008", "schaffarz_2018-pra", "scharl-master-thesis", "schartmueller_2018_baa", "schaukowitsch-2013-fls", "SCHAUKOWITSCH-2015-REMOTE", "SCHAUKOWITSCH-2015-STELL", "schedl-2012-dof", "schedl-2013-gP4", "schedl-thesis", "schefcik_juergen_2015_baa", "Scheiblauer-2006-DA", "Scheiblauer-2008-DCW", "SCHEIBLAUER-2009-IDCE", "scheiblauer-2011-cag", "scheiblauer-2011-chnt", "scheiblauer-2012-chnt", "scheiblauer-2013-wscg", "SCHEIBLAUER-2015-WFC", "scheiblauer-thesis", "scheiblauer-thesis", "scherzer_2010a", "Scherzer-2007-PCS", "SCHERZER-2008-FSR", "scherzer-2009-isvc", "SCHERZER-2012-TCM", "scherzer-eg2010", "scherzer-thesis", "scherzer2010b", "scherzer2010d", "scherzer2010e", "scherzer2011c", "scherzer2011d", "schmid_andreas_2013-prj", "schneider-sturm-2026-mia", "schober_florian_2012_aspm", "schoerkhuber_dominik-2016-baa", "scholz_2017_bac", "schrammel_sebastian_baa", "schuetz_markus-2013-pra", "SCHUETZ-2014-RRLP", "SCHUETZ-2015-HQP", "SCHUETZ-2016-POT", "schuetz-2018-PPC", "schuetz-2019-CLOD", "schuetz-2019-LCO", "SCHUETZ-2020-MPC", "schuetz-2020-PPC", "SCHUETZ-2021-DISS", "SCHUETZ-2021-PCC", "SCHUETZ-2021-PCC", "SCHUETZ-2022-PCC", "SCHUETZ-2023-LOD", "SCHUETZ-2024-SIMLOD", "schuetz-2025-splatshop", "schulz-faf", "schwaerzler_2018_phd", "schwaerzler-2009-ass", "SCHWAERZLER-2012-FAS", "SCHWAERZLER-2013-FPCSS", "SCHWAERZLER-2017-SBGM", "schwarz-2024-m2m", "Schwengerer_Mathias-2022-BGL", "seczer-2025-vrs", "seidemann-bachelor-2013", "seisenbacher-cyclesafely", "Selig_2005_WRO", "Selig-2007-VegAnim", "Semmelrath-2022-IRS", "seyr-2025-lbt", "SIETZEN-2017-BBO", "silvana_2014", "sippl-2014-fss", "slajcho_levente-baa", "slavtchev-dcd", "Spechtenhauser_Florian_2013_SIU", "spelitz_stefan-2012-CDTFMR", "sperl-2013-BA", "Sperl-praktikum-2016", "spielmann-2006-ner", "spitaler-2015-pbi", "spitaler-afr-2011", "SSMW09", "stappen_SteFAS", "stappen-2019-vrs", "starnberger-cli", "stauss-2025-gfd", "steiner_2016_isad", "steiner_2016_isad", "STEINER-2006-SVC", "steiner-2013-BS", "steiner-2014-da", "steinheber-2024-oto", "steinkellner-2022-dll", "steinkellner-2024-dll", "STEINLECHNER-2019-APS", "steinschauer-2020-baa", "steinschorn-2023-p2m", "steinschorn-2023-p2m", "steinschorn-2025-par", "steinschorn-2025-parameter", "Stingl_2011_RHS", "STINGL-2009-RHS", "Stoll2020", "STREICHER-2022-DSLS", "Streicher-bachelor-2013", "STU-SR-25", "sturl_andreas-caflm", "STURN-2013-LGI", "STURN-2013-LSI", "Sturn-2013-ST", "sturn-thesis", "stutter_david-2012-kft", "subtil-2006-disp", "SUNDSTEDT-2008-ASF", "sundstedt-2013-vag", "szabo_2013_ssrr", "Tanzmeister_2011_I3D", "tatzgern-2020-sst", "Thann_2019_01", "themmer-2018-fbx", "thurner-2019-ani", "TK_2011", "tobler02_amrmg", "tobler02_mbpls", "tobler97_hsdasr", "TOMASCHITZ-2020-EP", "TOROMANOFF-2005-ASA", "TR 193-02-2019-4", "TR-186-2-02-04", "TR-186-2-05-05", "TR-186-2-06-02", "TR-186-2-07-01", "TR-186-2-07-09", "TR-186-2-08-09", "TR-186-2-12-01", "Tragust-2012-GMHPC", "Tragust-2014-master-thesis", "traxler-1997-TRA", "trenkwalder-2008-landscape", "trenkwalder-2013-ma", "trenovatz-lpd", "trumpf_stefan_2012", "Tucek_2018", "Tucek_Tom-2016-aai", "tumpach_barbara-pra", "ulschmid-2024-reo", "ulschmid-2025-apc", "ulschmid-phdthesis", "unterguggenberger-2010-cmph", "unterguggenberger-2020-fmvr", "unterguggenberger-2021-msh", "unterguggenberger-2022-vulkan", "unterguggenberger-2023-vaw", "unterguggenberger-2024-fropo", "unterguggenberger-phdthesis", "VASCO-2019-EVR", "vasiljevic-gpc", "VASILJEVS-2018-PMPL", "vis-foa", "VOELKL-2013-RTRS", "voglreiter-2023-tro", "Voglsam_2012_RTR", "Voglsam_2013_RRT", "wagner-2024-par", "wallner_2008_ltosd", "WALLNER-2010-CSSAO", "wallner-2015-InfoTheoryPlay", "wallner-2015-ModelingRoutinization", "Wang-2016-BAC", "wang-sifuentes-2018-cgbase", "weber_2008_sh", "WEBER-2012-MIC", "WEBER-2015-PRA", "WEBER-2015-PRA1", "weidlich_2009_REL", "weidlich-2009-dispersion", "weidlich-2009-thesis", "weiner-2010-eud", "weinzierl_2012_iism", "weinzierl_heigl-2017-wh14", "Wenigwieser2007", "werdermann-va", "WESSNER-2019-PCW", "WEYDEMANN-2014-PIC", "WEYDEMANN-2016-NUO", "weydemann-2025-noo", "weydemann-praktikum-2016", "wieser-2019-ani", "wiesinger_2020_odpr", "wiesinger_2020_odpr", "wiesinger_2025-baa", "wiesinger_klemens-2023-baa", "wiesinger-2023-gcg", "wildt-tci", "Wilkie-2001-Ori", "Wilkie-2004-AMS", "wilkie-2006-dfs", "wilkie-2009-cc", "Wimmer-1999-FWIa", "Wimmer-1999-FWIb", "Wimmer-2001-PBI", "Wimmer-2001-Poi", "Wimmer-2003-RTE", "Wimmer-2004-LSPM", "Wimmer-2005-HOQ", "WIMMER-2006-DWN", "WIMMER-2006-IP", "WIMMER-2006-PSM", "WIMMER-2006-SIV", "WIMMER-2007-GAR", "WIMMER-2007-RTR", "WIMMER-2008-ART", "WIMMER-2008-CAR", "WIMMER-2008-PVR", "WIMMER-2009-ARTR", "WIMMER-2009-ARTR2", "WIMMER-2009-ARTR3", "WIMMER-2009-CSR", "WIMMER-2009-ITC", "WIMMER-2009-VCCG", "WIMMER-2014-DWNT", "WIMMER-2015-CGFC", "WIMMER-2015-CGMC", "WIMMER-2016-FUTURIS", "WIMMER-2016-HARVEST4D", "WIMMER-2019-CGSG", "WIMMER-2020-ASG", "wimmer-2022-acd", "wimmer-2023-acd", "Win25", "WINKLER-2013-AMO", "Winkler-2017", "WINKLER-2019-PDG", "winklhofer_christoph-2013-RRMR", "winklmueller-aso", "withalm_brigitte-2022-baa", "Woerister_2012_ACS", "wolffhardt-2026-prj", "wonka-2000-VisP", "Wonka-2001-Ins", "Wonka-2001-IV", "Wonka-2003-Ins", "WONKA-2006-GVS", "x-mas-2013", "xmas-2025", "yoo-chaeran-2025-pr", "zapotocky_2013_ma", "ZAU14", "zeilinger_matthias-2020-baa", "Zezulka_Matthias-2023-MatLabOptInterface", "Zezulka-2024-FTS", "Zezulka-2025-NRL", "Zezulka-2026-FGTS", "Zezulka-2026-GridThermalSim", "zhang_le-2010-IGA", "zhang-thesis", "ZL_2011_IVIG", "zotti-2001-dip", "zotti-2003-ash", "zotti-2005-lum", "Zotti-2005-vis", "zotti-2006-dgm", "zotti-2006-pla", "zotti-2007-eg", "zotti-2007-hdr", "zotti-2007-PhD", "zotti-2007-wscg", "ZOTTI-2016-VAA", "ZOTTI-2017-BM", "ZOTTI-2017-TSP", "zsolnai-2018-gms", "zsolnai-feher-thesis-2019", "zsolnai-ist-invited-2014", "zsolnaifeher-2019-pme", "zsolnaifeher-2020-pme" ], "url": "https://www.cg.tuwien.ac.at/research/publications/show.php?class=Workgroup&id=rend", "__class": "Workgroup" } } ]