[ { "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": "karimov-2016-SD", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Statistics-Driven Localization of Dissimilarities in Data", "date": "2016-04", "abstract": "The identification of dissimilar regions in spatial and temporal data is a fundamental part of data exploration.\nThis process takes place in applications, such as biomedical image processing as well as climatic data analysis.\nWe propose a general solution for this task by employing well-founded statistical tools.\nFrom a large set of candidate regions, we derive an empirical distribution of the data and perform statistical hypothesis testing to obtain p-values as measures of dissimilarity.\nHaving p-values, we quantify differences and rank regions on a global scale according to their dissimilarity to user-specified exemplar regions.\nWe demonstrate our approach and its generality with two application scenarios, namely interactive exploration of climatic data and segmentation editing in the medical domain.\nIn both cases our data exploration protocol unifies the interactive data analysis, guiding the user towards regions with the most relevant dissimilarity characteristics.\nThe dissimilarity analysis results are conveyed with a radial tree, which prevents the user from searching exhaustively through all the data.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 700, "name": "karimov-2016-SD-image.png", "type": "image/png", "size": 173482, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925, 869, 808, 166 ], "number": "TR-186-2-16-1", "research_areas": [ "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 700, "image_height": 700, "name": "karimov-2016-SD-image.png", "type": "image/png", "size": 173482, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png" }, { "description": "Technical report", "filetitle": "technical report", "main_file": false, "use_in_gallery": false, "access": "public", "name": "karimov-2016-SD-technical report.pdf", "type": "application/csv", "size": 13697916, "path": "Publication:karimov-2016-SD", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-technical report.pdf", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/", "__class": "Publication" }, { "id": "musialski-2015-souos", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces", "date": "2015-08", "abstract": "Given the 2-manifold surface of a 3d object, we propose a novel method for the computation of an offset surface with varying thickness such that the solid volume between the surface and its offset satisfies a set of prescribed constraints and at the same time minimizes a given objective functional. Since the constraints as well as the objective functional can easily be adjusted to specific application requirements, our method provides a flexible and powerful tool for shape optimization. We use manifold harmonics to derive a reduced-order formulation of the optimization problem, which guarantees a smooth offset surface and speeds up the computation independently from the input mesh resolution without affecting the quality of the result. The constrained optimization problem can be solved in a numerically robust manner with commodity solvers. Furthermore, the method allows simultaneously optimizing an inner and an outer offset in order to increase the degrees of freedom. We demonstrate our method in a number of examples where we control the physical mass properties of rigid objects for the purpose of 3d printing. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 850, "image_height": 408, "name": "musialski-2015-souos-image.png", "type": "image/png", "size": 205544, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 808, 836, 193, 1243 ], "date_from": "2015-08-09", "date_to": "2015-08-13", "doi": "10.1145/2766955", "event": "ACM SIGGRAPH 2015", "issn": "0730-0301", "journal": "ACM Transactions on Graphics (ACM SIGGRAPH 2015)", "lecturer": [ 844 ], "location": "Los Angeles, CA, USA", "number": "4", "pages_from": "102:1", "pages_to": "102:9", "volume": "34", "research_areas": [ "Fabrication" ], "keywords": [ "reduced-order models", "shape optimization", "computational geometry", "geometry processing", "physical mass properties" ], "weblinks": [ { "href": "http://dl.acm.org/citation.cfm?id=2766955", "caption": null, "description": null, "main_file": 0 } ], "files": { "0": { "description": "additional", "filetitle": "additional", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski-2015-souos-additional.pdf", "type": "application/pdf", "size": 171083, "path": "Publication:musialski-2015-souos", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-additional.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-additional:thumb{{size}}.png" }, "1": { "description": 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"thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video:video.mp4" } }, "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/", "__class": "Publication" }, { "id": "hafner-2015-onff", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling", "date": "2015-08", "abstract": "Given a target shape and a target frequency, we automatically synthesize a shape that exhibits this frequency as part of its natural spectrum, while resembling the target shape as closely as possible. We employ finite element modal analysis with thin-shell elements to accurately predict the acoustic behavior of 3d solids. Our optimization pipeline uses an input surface and automatically calculates an inner offset surface to describe a volumetric solid. The solid exhibits a sound with the desired pitch if fabricated from the targeted material. In order to validate our framework, we optimize the shape of a tin bell to exhibit a sound at 1760 Hz. We fabricate the bell by casting it from a mold and measure the frequency peaks in its natural ringing sound. The measured pitch agrees with our simulation to an accuracy of 2.5%. In contrast to previous method, we only use reference material parameters and require no manual tuning.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1275, "image_height": 956, "name": "hafner-2015-onff-thumbnail.jpg", "type": "image/jpeg", "size": 699561, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1090, 844, 808, 193, 1243 ], "booktitle": "Proceedings of ACM SIGGRAPH 2015 Posters", "date_from": "2015-08-09", "date_to": "2015-08-13", "event": "ACM SIGGRAPH 2015", "location": "Los Angeles, CA, USA", "note": "Lecturer: P. Musialski", "publisher": "ACM", "research_areas": [ "Fabrication" ], "keywords": [ "natural frequencies", "modal analysis", "shape optimization" ], "weblinks": [], "files": [ { "description": "abstract", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hafner-2015-onff-abstract.pdf", "type": "application/pdf", "size": 13785825, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-abstract:thumb{{size}}.png" }, { "description": "eposter", "filetitle": "eposter", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hafner-2015-onff-eposter.pdf", "type": "application/pdf", "size": 2896869, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-eposter.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-eposter:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2110, "image_height": 1500, "name": "hafner-2015-onff-image.png", "type": "image/png", "size": 1604255, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-image:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1275, "image_height": 956, "name": "hafner-2015-onff-thumbnail.jpg", "type": "image/jpeg", "size": 699561, "path": "Publication:hafner-2015-onff", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 1280, "preview_image_height": 720, "name": "hafner-2015-onff-video.mp4", "type": "video/mp4", "size": 36476292, "path": "Publication:hafner-2015-onff", "preview_name": "hafner-2015-onff-video:preview.png", "preview_type": "image/jpeg", "preview_size": 57686, "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/", "__class": "Publication" }, { "id": "Jimenez_SSS_2015", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Separable Subsurface Scattering", "date": "2015-06", "abstract": "In this paper we propose two real-time models for simulating subsurface scattering for a large variety of translucent materials, which need under 0.5 milliseconds per frame to execute. 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": "karimov-2015-HD", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Guided Volume Editing based on Histogram Dissimilarity", "date": "2015-05", "abstract": "Segmentation of volumetric data is an important part of many analysis pipelines, but frequently requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and error-prone for the user to find and select appropriate regions for editing. We propose an approach to improve volume editing by detecting potential segmentation defects while considering the underlying structure of the object of interest. Our method is based on a novel histogram dissimilarity measure between individual regions, derived from structural information extracted from the initial segmentation. Based on this information, our interactive system guides the user towards potential defects, provides integrated tools for their inspection, and automatically generates suggestions for their resolution. We demonstrate that our approach can reduce interaction effort and supports the user in a comprehensive investigation for high-quality segmentations.\n", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "picture", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 869, "image_height": 726, "name": "karimov-2015-HD-picture.PNG", "type": "image/png", "size": 462098, "path": "Publication:karimov-2015-HD", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture.PNG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 925, 869, 808, 161 ], "date_from": "2015-05-25", "date_to": "2015-05-29", "event": "Eurographics Conference on Visualization (EuroVis)", "journal": 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Common procedural approaches, such as shape grammars, assume that building façades are organized in a tree structure, while in practice this is often not the case. Consequently, the complexity of their layout description becomes unmanageable for interactive editing. In contrast, we obtain a façade by composing multiple overlapping layers, where each layer contains a single rectilinear grid of façade elements described by two simple generator patterns. This way, the design process becomes more intuitive and the editing effort for complex layouts is significantly reduced. To achieve this, we present a method for the automated merging of different layers in the form of a mixed discrete and continuous optimization problem. Finally, we provide several modeling examples and a comparison to shape grammars in order to highlight the advantages of our method when designing realistic building façades. You can find the paper video at https://vimeo.com/118400233 .", "authors_et_al": false, "substitute": null, "main_image": { "description": "Decomposition of a facade into layers.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5180, "image_height": 2069, "name": "Ilcik_2015_LAY-teaser.jpg", "type": "image/jpeg", "size": 1158754, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1303, 844, 808, 193 ], "date_from": "2015-05-04", "date_to": "2015-05-08", "event": "Eurographics", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1303 ], "location": "Zürich", "number": "2", "pages_from": "205", "pages_to": "216", "volume": "34", "research_areas": [ "Modeling" ], "keywords": [ "procedural modeling" ], "weblinks": [ { "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12553/abstract", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": "Draft of the paper", "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "Ilcik_2015_LAY-preprint.pdf", "type": "application/pdf", "size": 45680231, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-preprint:thumb{{size}}.png" }, { "description": "Supplementary material with further details", "filetitle": "Supplementary", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Ilcik_2015_LAY-Supplementary.pdf", "type": "application/pdf", "size": 14337292, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-Supplementary.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-Supplementary:thumb{{size}}.png" }, { "description": "Decomposition of a facade into layers.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 5180, "image_height": 2069, "name": "Ilcik_2015_LAY-teaser.jpg", "type": "image/jpeg", "size": 1158754, "path": "Publication:Ilcik_2015_LAY", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/", "__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-2015-phd", "type_id": "phdthesis", "tu_id": null, "repositum_id": null, "title": "Sampled and Prefiltered Anti-Aliasing on Parallel Hardware", "date": "2015", "abstract": "A fundamental task in computer graphics is the generation of two-dimensional images. Prominent examples are the conversion of text or three-dimensional scenes to formats that can be presented on a raster display. Such a conversion process - often referred to as rasterization or sampling - underlies inherent limitations due to the nature of the output format. This causes not only a loss of information in the rasterization result, which manifests as reduced image sharpness, but also causes corruption of the retained information in form of aliasing artifacts. Commonly observed examples in the final image are staircase artifacts along object silhouettes or Moire-like patterns.\r\n\r\nThe main focus of this thesis is on the effective removal of such artifacts - a process that is generally referred to as anti-aliasing. This is achieved by removing the offending input information in a filtering step during rasterization. In this thesis, we present different approaches that either minimize computational effort or emphasize output quality.\r\n\r\nWe follow the former objective in the context of an applied scenario from medical visualization. There, we support the investigation of the interiors of blood vessels in complex arrangements by allowing for unrestricted view orientation. Occlusions of overlapping blood vessels are minimized by automatically generating cut-aways with the help of an occlusion cost function. Furthermore, we allow for suitable extensions of the vessel cuts into the surrounding tissue. Utilizing a level of detail approach, these cuts are gradually smoothed with increasing distance from their respective vessels. Since interactive response is a strong requirement for a medical application, we employ fast sample-based anti-aliasing methods in the form of visibility sampling, shading supersampling, and post-process filtering.\r\n\r\nWe then take a step back and develop the theoretical foundations for anti-aliasing methods that follow the second objective of providing the highest degree of output quality. As the main contribution in this context, we present exact anti-aliasing in the form of prefiltering. By computing closed-form solutions of the filter convolution integrals in the continuous domain, we circumvent any issues that are caused by numerical integration and provide mathematically correct results. Together with a parallel hidden-surface elimination, which removes all occluded object parts when rasterizing three-dimensional scenes, we present a ground-truth solution for this setting with exact anti-aliasing. We allow for complex illumination models and perspective-correct shading by combining visibility prefiltering with shading sampling and generate a ground-truth solution for multisampling anti-aliasing.\r\n\r\nAll our aforementioned methods exhibit highly parallel workloads. Throughout the thesis, we present their mapping to massively parallel hardware architectures in the form of graphics processing units. Since our approaches do not map to conventional graphics pipelines, we implement our approach using general-purpose computing concepts. This results in decreased runtime of our methods and makes all of them interactive.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Illustration of sample-based and prefiltered edge anti-aliasing.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2632, "image_height": 816, "name": "auzinger-2015-phd-teaser.png", "type": "image/png", "size": 161776, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808 ], "date_end": "2015", "date_start": "2010", "reviewer_1": [ 198 ], "reviewer_2": [ 193 ], "rigorosum": "2015-05-12", "supervisor": [ 193 ], "research_areas": [], "keywords": [], "weblinks": [], "files": [ { "description": "Illustration of sample-based and prefiltered edge anti-aliasing.", "filetitle": "logo", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2632, "image_height": 816, "name": "auzinger-2015-phd-logo.png", "type": "image/png", "size": 161776, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-logo.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-logo:thumb{{size}}.png" }, { "description": "The submitted PhD thesis.", "filetitle": "phd-thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "auzinger-2015-phd-phd-thesis.pdf", "type": "application/pdf", "size": 47937340, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-phd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-phd-thesis:thumb{{size}}.png" }, { "description": "Presentation slides used at the PhD defense.", "filetitle": "presentation", "main_file": true, "use_in_gallery": false, "access": "public", "name": "auzinger-2015-phd-presentation.pptx", "type": "application/zip", "size": 10301895, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-presentation.pptx", "thumb_image_sizes": [] }, { "description": "Illustration of sample-based and prefiltered edge anti-aliasing.", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 2632, "image_height": 816, "name": "auzinger-2015-phd-teaser.png", "type": "image/png", "size": 161776, "path": "Publication:auzinger-2015-phd", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/", "__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. 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Given a user-specified query region in a 2D shape, similar regions are found, even if they are non-linearly distorted. Furthermore, a non-linear mapping is established between the query regions and these matches, which allows the automatic transfer of editing operations such as texturing. This is achieved by a two-step approach. First, point-wise correspondences between the query region and the whole shape are established. The transformation parameters of these correspondences are registered in an appropriate transformation space. For transformations between similar regions, these parameters form surfaces in transformation space, which are extracted in the second step of our method. 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In recent years they gained increased traction in high performance computing as they provide superior computational performance in terms of runtime and energy consumption for a wide range of problems. In this survey, we review their employment in distributed computing for a broad range of application scenarios. Common characteristics and a classification of the most relevant use cases are described. Furthermore, we discuss possible future developments of the use of general purpose graphics processing units in the area of service-oriented architecture. The aim of this work is to inspire future research in this field and to give guidelines on when and how to incorporate this new hardware technology.", "authors_et_al": false, "substitute": null, "main_image": { "description": "teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4371, "image_height": 1394, "preview_image_width": 256, "preview_image_height": 82, "name": "Calatrava_2013_GPGPUSOA-teaser.png", "type": "image/png", "size": 83141, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-teaser:preview.png", "preview_type": "image/png", "preview_size": 20252, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1126, 808 ], "booktitle": "Proceedings of the 6th IEEE International Conference on Service Oriented Computing and Applications", "date_from": "2013-12-16", "date_to": "2013-12-18", "isbn": "978-1-4799-2701-2", "lecturer": [ 1126, 808 ], "location": "Kauai", "organization": "IEEE Computer Society", "publisher": "IEEE Computer Society", "series": "SOCA ", "research_areas": [], "keywords": [ "GPGPU", "SOA", "parallel", "graphics processors", "GPU", "service-oriented architectures", "throughput computing", "survey", "future" ], "weblinks": [], "files": [ { "description": "An overview of the most relevant features of the hardware architecture of recent graphics processing units.", "filetitle": "GPU Architecture", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4371, "image_height": 1394, "preview_image_width": 256, "preview_image_height": 82, "name": "Calatrava_2013_GPGPUSOA-GPU Architecture.png", "type": "image/png", "size": 83141, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-GPU Architecture:preview.png", "preview_type": "image/png", "preview_size": 20252, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-GPU Architecture.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-GPU Architecture: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": "Calatrava_2013_GPGPUSOA-paper.pdf", "type": "application/pdf", "size": 1158208, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-paper:preview.png", "preview_type": "image/png", "preview_size": 57545, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-paper:thumb{{size}}.png" }, { "description": "teaser", "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 4371, "image_height": 1394, "preview_image_width": 256, "preview_image_height": 82, "name": "Calatrava_2013_GPGPUSOA-teaser.png", "type": "image/png", "size": 83141, "path": "Publication:Calatrava_2013_GPGPUSOA", "preview_name": "Calatrava_2013_GPGPUSOA-teaser:preview.png", "preview_type": "image/png", "preview_size": 20252, "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/", "__class": "Publication" }, { "id": "Auzinger_Mistelbauer_2013_CSR", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Vessel Visualization using Curved Surface Reformation", "date": "2013-12", "abstract": "Visualizations of vascular structures are frequently used in radiological investigations to detect and analyze vascular diseases. 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. We also present feedback from several 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": 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" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 808, 869, 1049, 1047, 169, 193, 166, 161 ], "date_from": "2013-10-13", "date_to": "2013-10-18", "event": "IEEE Scientific Visualization 2013", "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Scientific Visualization 2013)", "lecturer": [ 808, 869 ], "location": "Atlanta, Georgia, USA", "number": "12", "pages_from": "2858", "pages_to": "2867", "volume": "19", "research_areas": [ "MedVis" ], "keywords": [ "Surface Approximation", "Vessel", "Reformation", "Volume Rendering" ], "weblinks": [], "files": [ { "description": "Visualization of our cost function for a synthetic trefoil knot vessel. 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A 3D direct volume rendering with the surface of the vessel tree is shown on the left. 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In contrast to the traditional supersampling approach, we use exact prefiltering to remove frequencies above the Nyquist limit. This is enabled by performing exact hidden surface elimination to compute the visible regions of all scene primitives. We derived a closed-form solution to subsequent prefilter convolution which guarantees high-quality anti-aliasing up to numerical precision. Our analytic rasterization pipeline is based on several highly parallel algorithms and an efficient implementation in CUDA is presented as well as several result images of its performance on complex scenes. 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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). 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We show that by using image processing techniques, a current, only slightly modified, off-the-shelf HD webcam can be used to measure alpha, beta as well as gamma radiation. In contrast to dedicated measurement devices such as Geiger counters, our framework can classify the type of radiation and can differentiate between various kinds of radioactive materials.\n\nBy optically insulating the camera's imaging sensor, recordings at extreme exposure and gain values are possible, and the partly very faint signals detectable. The camera is set to the longest exposure time possible and to a very high gain to detect even faint signals. During measurements, GPU assisted real-time image processing of the direct video feed is used to treat the remaining noise by tracking the noise spectrum per pixel, incorporating not only spatial but also temporal variations due to temperature changes and spontaneous emissions. A confidence value per pixel based on event probabilities is calculated to identify potentially hit pixels. 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