[ { "id": "erler-2020-p2s", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/55555", "title": "Points2Surf: Learning Implicit Surfaces from Point Clouds", "date": "2020-10-28", "abstract": "A key step in any scanning-based asset creation workflow is to convert unordered point clouds to a surface. Classical methods (e.g., Poisson reconstruction) start to degrade in the presence of noisy and partial scans. Hence, deep learning based methods have recently been proposed to produce complete surfaces, even from partial scans. However, such data-driven methods struggle to generalize to new shapes with large geometric and topological variations. We present Points2Surf, a novel patch-based learning framework that produces accurate surfaces directly from raw scans without normals.\n\nLearning a prior over a combination of detailed local patches and coarse global information improves generalization performance and reconstruction accuracy.\n\nOur extensive comparison on both synthetic and real data demonstrates a clear advantage of our method over state-of-the-art alternatives on previously unseen classes (on average, Points2Surf brings down reconstruction error by 30% over SPR and by 270%+ over deep learning based SotA methods) at the cost of longer computation times and a slight increase in small-scale topological noise in some cases. \nOur source code, pre-trained model, and dataset are available on: https://github.com/ErlerPhilipp/points2surf\n", "authors_et_al": false, "substitute": null, "main_image": { "description": "We present Points2Surf, a method to reconstruct an accurate implicit surface from a noisy point cloud. Unlike current data-driven surface reconstruction methods like DeepSDF and AtlasNet, it is patch-based, improves detail reconstruction, and unlike Screened Poisson Reconstruction (SPR), a learned prior of low-level patch shapes improves reconstruction accuracy. \nNote the quality of reconstructions, both geometric and topological, against the original surfaces. The ability of Points2Surf to generalize to new shapes makes it the first learning-based approach with significant generalization ability under both geometric and topological variations.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4161, "image_height": 2179, "name": "erler-2020-p2s-teaser.png", "type": "image/png", "size": 4130897, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1395, 627, 948, 193, 1771 ], "address": "Cham", "booktitle": "Computer Vision -- ECCV 2020", "cfp": { "name": "eccv_2020_call_for_papers.pdf", "type": "application/pdf", "error": "0", "size": "255221", "orig_name": "eccv_2020_call_for_papers.pdf", "ext": "pdf" }, "date_from": "2020-08-24", "date_to": "2020-08-27", "doi": "10.1007/978-3-030-58558-7_7", "editor": "Vedaldi, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael", "event": "ECCV 2020", "first_published": "2020-10-28", "isbn": "978-3-030-58558-7", "journal": "Computer Vision – ECCV 2020", "lecturer": [ 1395 ], "location": "Glasgow, UK (online)", "open_access": "yes", "pages": "17", "pages_from": "108", "pages_to": "124", "publisher": "Springer International Publishing", "series": "Lecture Notes in Computer Science", "volume": "12350", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "surface reconstruction", "implicit surfaces", "point clouds", "patch-based", "local and global", "deep learning", "generalization" ], "weblinks": [ { "href": "https://github.com/ErlerPhilipp/points2surf", "caption": "Github Repo", "description": "Access the source code, pre-trained models and datasets from Github.", "main_file": 0 }, { "href": "https://arxiv.org/abs/2007.10453", "caption": "Arxiv Pre-Print", "description": "Access the paper pre-print on arXiv.", "main_file": 0 }, { "href": "https://link.springer.com/chapter/10.1007%2F978-3-030-58558-7_7", "caption": "Official Publication", "description": "Access the paper Springer Link.", "main_file": 0 } ], "files": [ { "description": "Our normalized ground-truth meshes from the ABC dataset.", "filetitle": "abc_meshes", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-abc_meshes.zip", "type": "application/x-zip-compressed", "size": 726933282, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc_meshes.zip", "thumb_image_sizes": [] }, { "description": "Our processed extract from the ABC dataset that can be used to train Points2Surf.", "filetitle": "abc_training", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-abc_training.zip", "type": "application/x-zip-compressed", "size": 1786245314, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc_training.zip", "thumb_image_sizes": [] }, { "description": "Our processed extract from the ABC dataset that can be used to replicate the results of Points2Surf.", "filetitle": "abc", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-abc.zip", "type": "application/x-zip-compressed", "size": 138638856, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc.zip", "thumb_image_sizes": [] }, { "description": "Our pre-trained models (ablation versions) to reproduce the results.", "filetitle": "ablation_models", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-ablation_models.zip", "type": "application/x-zip-compressed", "size": 242492525, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-ablation_models.zip", "thumb_image_sizes": [] }, { "description": "Our processed Famous dataset that can be used to replicate the results of Points2Surf.", "filetitle": "famous", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-famous.zip", "type": "application/x-zip-compressed", "size": 1525449349, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-famous.zip", "thumb_image_sizes": [] }, { "description": "8 min video for ECCV 2020", "filetitle": "long video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-long video.mp4", "type": "video/mp4", "size": 85439106, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video:video.mp4" }, { "description": "A new model version with even better results.", "filetitle": "max_model", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-max_model.zip", "type": "application/x-zip-compressed", "size": 20010604, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-max_model.zip", "thumb_image_sizes": [] }, { "description": "Points2Surf paper (Arxiv version)", "filetitle": "points2surf_paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-points2surf_paper.pdf", "type": "application/pdf", "size": 9135835, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-points2surf_paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-points2surf_paper:thumb{{size}}.png" }, { "description": "Our processed real-world dataset that can be used to replicate the results of Points2Surf.", "filetitle": "real_world", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-real_world.zip", "type": "application/x-zip-compressed", "size": 5942947, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-real_world.zip", "thumb_image_sizes": [] }, { "description": "2 min video for ECCV 2020", "filetitle": "short video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-short video.mp4", "type": "video/mp4", "size": 13862480, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video:video.mp4" }, { "description": "We present Points2Surf, a method to reconstruct an accurate implicit surface from a noisy point cloud. Unlike current data-driven surface reconstruction methods like DeepSDF and AtlasNet, it is patch-based, improves detail reconstruction, and unlike Screened Poisson Reconstruction (SPR), a learned prior of low-level patch shapes improves reconstruction accuracy. \nNote the quality of reconstructions, both geometric and topological, against the original surfaces. The ability of Points2Surf to generalize to new shapes makes it the first learning-based approach with significant generalization ability under both geometric and topological variations.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4161, "image_height": 2179, "name": "erler-2020-p2s-teaser.png", "type": "image/png", "size": 4130897, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser:thumb{{size}}.png" }, { "description": "Our processed extract from the Thingi10k dataset that can be used to replicate the results of Points2Surf.", "filetitle": "thingi10k", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-thingi10k.zip", "type": "application/x-zip-compressed", "size": 940826980, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-thingi10k.zip", "thumb_image_sizes": [] }, { "description": "Our pre-trained model (vanilla version) to reproduce the results.", "filetitle": "vanilla_model", "main_file": false, "use_in_gallery": false, "access": "public", "name": "erler-2020-p2s-vanilla_model.zip", "type": "application/x-zip-compressed", "size": 23009153, "path": "Publication:erler-2020-p2s", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-vanilla_model.zip", "thumb_image_sizes": [] } ], "projects_workgroups": [ "Superhumans", "MAKE-IT-FAB", "ShapeAcquisition" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/", "__class": "Publication" }, { "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": "WINKLER-2019-PDG", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Pose-Driven Generation and Optimization of Seating Furniture", "date": "2019-10-21", "abstract": "Modern furniture design systems provide seating solutions for various applications,\nranging from general purpose solutions to specific environments. The central goal of\nfurniture design is to create comfortable seating surfaces. To provide optimal comfort for\na specific person and environment, personalized furniture design is required. As comfort\nis generally seen as the user’s subjective feeling, objective comfort measures are defined\nthat approximate a person’s comfort for a given seating surface. Computational furniture\ndesign systems create seating solutions for a given scenario using interactive algorithms.\nSpecialized seating surfaces often require extensive manual design effort.\nIn this thesis, a computational furniture design framework to generate personalized\nseating surfaces is proposed. Utilizing a notation of sitting comfort based on equal\npressure distribution, our algorithm generates seating surface models fitted to a person\nin a specific pose. We introduce an automated furniture design framework able to create\ncomfortable seating surfaces for specific body shapes and poses. We developed a generic\ntemplate model capable of supporting a large variety of sitting poses and human body\nshapes that is matched to an input pose in multi stage fitting process. Furthermore, we\nintroduce a non-linear mesh optimization algorithm for further functional and visual\nimprovements.\nIn addition, the proposed framework serves as a fully automated solution to create\nspecialized control meshes usable as input meshes in other design frameworks, thus\neliminating the need for manual design effort.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 663, "image_height": 656, "name": "WINKLER-2019-PDG-image.jpg", "type": "image/jpeg", "size": 45401, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1422 ], "date_end": "2019-10-21", "date_start": "2018-11", "diploma_examina": "2020-01-22", "matrikelnr": "01129264", "supervisor": [ 193, 844 ], "research_areas": [ "Fabrication", "Modeling" ], "keywords": [ "optimization", "fabrication" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 663, "image_height": 656, "name": "WINKLER-2019-PDG-image.jpg", "type": "image/jpeg", "size": 45401, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image:thumb{{size}}.png" }, { "description": null, "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WINKLER-2019-PDG-poster.pdf", "type": "application/pdf", "size": 3600871, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-poster:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "WINKLER-2019-PDG-thesis.pdf", "type": "application/pdf", "size": 19964084, "path": "Publication:WINKLER-2019-PDG", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/", "__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" }, { "id": "birsak-thesis", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/7025", "title": "Discrete Optimization on Graphs and Grids for the Creation of Navigational and Artistic Imagery", "date": "2018-09-30", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836 ], "date_end": "2018-09", "date_start": "2012-08", "reviewer_1": [ 474 ], "reviewer_2": [ 194 ], "rigorosum": "2018-10-17", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "Photo-Guide", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-thesis/", "__class": "Publication" }, { "id": "birsak-2017-dpe", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Dynamic Path Exploration on Mobile Devices", "date": "2018-05", "abstract": "We present a novel framework for visualizing routes on mobile devices. 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 Computer Graphics", "number": "5", "pages_from": "1784", "pages_to": "1798", "protocol": "null", "volume": "24", "research_areas": [ "InfoVis" ], "keywords": [], "weblinks": [], "files": [ { "description": "overview image", "filetitle": "overview", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2229, "image_height": 2762, "name": "birsak-2017-dpe-overview.png", "type": "image/png", "size": 3708886, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview.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-overview:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-preprint.pdf", "type": "application/pdf", "size": 39449554, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint.pdf", "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-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "supplementary", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-supplementary.pdf", "type": "application/pdf", "size": 26746193, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary.pdf", "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-supplementary:thumb{{size}}.png" }, { "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" }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "birsak-2017-dpe-video.mp4", "type": "video/mp4", "size": 45077025, "path": "Publication:birsak-2017-dpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video.mp4", "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-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:video.mp4" } ], "projects_workgroups": [ "Photo-Guide", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/", "__class": "Publication" }, { "id": "Birsak2018-SA", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "String Art: Towards Computational Fabrication of String Images", "date": "2018-04", "abstract": "In this paper we propose a novel method for the automatic computation and digital fabrication of artistic string images. String\nart is a technique used by artists for the creation of abstracted images which are composed of straight lines of strings ten-\nsioned between pins distributed on a frame. Together the strings fuse to a perceptible image. Traditionally, artists craft such\nimages manually in a highly sophisticated and tedious design process. To achieve this goal fully automatically we propose a\ncomputational setup driven by a discrete optimization algorithm which takes an ordinary picture as input and converts it into\na connected graph of strings that tries to reassemble the input image best possibly. Furthermore, we propose a hardware setup\nfor automatic digital fabrication of these images using an industrial robot that spans the strings. Finally, we demonstrate the\napplicability of our approach by generating and fabricating a set of real string art images.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 836, "image_height": 411, "name": "Birsak2018-SA-image.png", "type": "image/png", "size": 437058, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 836, 1063, 194, 844 ], "date_from": "2018-04-16", "date_to": "2018-04-20", "doi": "10.1111/cgf.13359", "event": "EUROGRAPHICS 2018", "journal": "Computer Graphics Forum (Proc. EUROGRAPHICS 2018)", "lecturer": [ 836 ], "location": "Delft, The Netherlands", "number": "2", "open_access": "yes", "pages": "accepted", "pages_from": "263", "pages_to": "274", "volume": "37", "research_areas": [ "Fabrication", "Modeling" ], "keywords": [], "weblinks": [ { "href": "https://github.com/Exception1984/StringArt", "caption": "Source Code", "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 836, "image_height": 411, "name": "Birsak2018-SA-image.png", "type": "image/png", "size": 437058, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png" }, { "description": "preprint", "filetitle": "preprint", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-preprint.pdf", "type": "application/pdf", "size": 11581681, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 783112566, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-slides.pptx", "thumb_image_sizes": [] }, { "description": null, "filetitle": "video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "Birsak2018-SA-video.mp4", "type": "video/mp4", "size": 326776401, "path": "Publication:Birsak2018-SA", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/", "__class": "Publication" }, { "id": "gersthofer-2016-sosob", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces in Blender", "date": "2018-02", "abstract": "The advance of 3D printers’ capabilities and their sinking costs led to a huge trend of\npersonal and commercial fabrication. But those advances were restricted to the hardware\nside meaning that there was a lack of software to optimize the digital models before printing. This was necessary because physical properties like mass, center of mass or moments of inertia, were neglected in the design of digital 3D models. Those properties play an important role in the behavior of a real-world object. Examples of an objects behavior are the ability to stand in a specific pose, float in the water or stably rotate around a certain axis.\nIn the last few years methods have been presented to optimize digital models by altering\nspecific regions of their volume in order to change their physical properties and therefore\nto prepare them for printing. A recently presented method forms the basis of this thesis.\nDue to its flexibility and performance it is well suited to be integrated into current 3D modeling applications. The algorithm was implemented as a C/C++ library which can be integrated in almost every application. Afterwards this library was integrated into the open source 3D modeling application Blender as a modifier. ", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 517, "name": "gersthofer-2016-sosob-image.png", "type": "image/png", "size": 103557, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1292 ], "co_supervisor": [ 193 ], "date_end": "2018-02-22", "date_start": "2015-11", "matrikelnr": "1325669", "supervisor": [ 844 ], "research_areas": [ "Fabrication", "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape optimization", "blender plugin" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 482, "image_height": 517, "name": "gersthofer-2016-sosob-image.png", "type": "image/png", "size": 103557, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "gersthofer-2016-sosob-thesis.pdf", "type": "application/pdf", "size": 18799264, "path": "Publication:gersthofer-2016-sosob", "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/", "__class": "Publication" }, { "id": "steiner_2016_isad", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Integrated Structural-Architectural Design for Interactive Planning", "date": "2017-12", "abstract": "Traditionally, building floorplans are designed by architects with their usability, functionality, and architectural aesthetics in mind, however, the structural properties of the distribution of load-bearing walls and columns are usually not taken into account at this stage. In this paper we propose a novel approach for the design of architectural floorplans by integrating structural layout analysis directly into the planning process. In order to achieve this, we introduce a planning tool which interactively enforces checks for structural stability of the current design, and which on demand proposes how to stabilize it if necessary. Technically, our solution contains an interactive architectural modeling framework as well as a constrained optimization module where both are based on respective architectural rules. Using our tool, an architect can predict already in a very early planning stage which designs are structurally sound such that later changes due to stability reasons can be prevented. We compare manually computed solutions with optimal results of our proposed automated design process in order to show how much our proposed system can help architects to improve the process of laying out structural models optimally.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "preview_image_width": 1500, "preview_image_height": 1000, "name": "steiner_2016_isad-image.png", "type": "image/png", "size": 392167, "path": "Publication:steiner_2016_isad", "preview_name": "steiner_2016_isad-image:preview.png", "preview_type": "image/png", "preview_size": 392167, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1120, 1375, 1376, 193, 844 ], "doi": "10.1111/cgf.12996", "issn": "1467-8659", "journal": "Computer Graphics Forum", "lecturer": [ 1120 ], "number": "8", "pages_from": "80", "pages_to": "94", "volume": "36", "research_areas": [ "Geometry", "Modeling" ], "keywords": [], "weblinks": [ { "href": "http://dx.doi.org/10.1111/cgf.12996", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1500, "image_height": 1000, "preview_image_width": 1500, "preview_image_height": 1000, "name": "steiner_2016_isad-image.png", "type": "image/png", "size": 392167, "path": "Publication:steiner_2016_isad", "preview_name": "steiner_2016_isad-image:preview.png", "preview_type": "image/png", "preview_size": 392167, "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "steiner_2016_isad-preprint.pdf", "type": "application/pdf", "size": 5914360, "path": "Publication:steiner_2016_isad", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA", "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/", "__class": "Publication" }, { "id": "leimer_2017_rbpesc", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": null, "title": "Relation-Based Parametrization and Exploration of Shape Collections", "date": "2017-10", "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have emerged for both experienced and inexperienced users. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes. But exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes based on the variability of spatial arrangements between pairs of parts. The way in which shapes differ from each other is captured automatically, resulting in a small number of exploration parameters. Furthermore, a copy-and-paste system for parts allows the user to change the structure of a shape, making it possible to explore the entire collection from any initial shape.", "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": 1267, "name": "leimer_2017_rbpesc-image.png", "type": "image/png", "size": 969130, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 1292, 193, 844 ], "issn": "0097-8493", "journal": "Computers & Graphics", "pages_from": "127", "pages_to": "137", "volume": "67", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "3d database exploration", "Model variability", "Shape analysis", "Shape collections" ], "weblinks": [ { "href": "https://doi.org/10.1016/j.cag.2017.07.001", "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": 1267, "name": "leimer_2017_rbpesc-image.png", "type": "image/png", "size": 969130, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png" }, { "description": null, "filetitle": "preprint", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer_2017_rbpesc-preprint.pdf", "type": "application/pdf", "size": 14650651, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint:thumb{{size}}.png" }, { "description": null, "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer_2017_rbpesc-video.mp4", "type": "video/mp4", "size": 32483590, "path": "Publication:leimer_2017_rbpesc", "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/", "__class": "Publication" }, { "id": "aichner-2016-sadf", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Interactive Shape-Aware Deformation of 3D Furniture Models", "date": "2016-11", "abstract": "Resizing of 3D models can be very useful when creating new models or when reusing\nold ones. However, naive resizing can create serious visual artifacts which destroy the\ncharacteristics of an object. In this thesis an algorithm that protects the features of\n3D models during resizing is introduced. It is specialized for furniture models because\nit should be applied to a furniture configurator. We observed that the distortion that\noccurs during scaling is not distributed uniformly across the object. Our algorithm\nautomatically detects the vulnerable parts of a model and then stretches only the non-\nvulnerable ones. Furthermore, the algorithm takes into account that when scaling a\nmesh in a specific direction, the texture has to be adapted as well in order to prevent\nrepresentation errors.", "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": 244, "name": "aichner-2016-sadf-image.png", "type": "image/png", "size": 73895, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1291 ], "co_supervisor": [ 193 ], "date_end": "2016-11-21", "date_start": "2015-10", "matrikelnr": "1226600", "supervisor": [ 844 ], "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "geometry processing", "shape modeling", "shape-aware deformation" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 712, "image_height": 244, "name": "aichner-2016-sadf-image.png", "type": "image/png", "size": 73895, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "aichner-2016-sadf-thesis.pdf", "type": "application/pdf", "size": 7158555, "path": "Publication:aichner-2016-sadf", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/", "__class": "Publication" }, { "id": "leimer-2016-rpe", "type_id": "poster", "tu_id": null, "repositum_id": null, "title": "Relation-Based Parametrization and Exploration of Shape Collections", "date": "2016-07", "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have opened up for both experienced and inexperienced users alike. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes.\n\nBut exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes by controlling a small number of parameters.", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1589, "image_height": 1028, "name": "leimer-2016-rpe-thumbnail.jpg", "type": "image/jpeg", "size": 835063, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019, 193, 844 ], "booktitle": "ACM SIGGRAPH 2016 Posters", "date_from": "2016-07-24", "date_to": "2016-07-28", "event": "ACM SIGGRAPH 2016", "isbn": "978-1-4503-4371-8", "location": "Anaheim, CA, USA", "pages_from": "34:1", "pages_to": "34:1", "publisher": "ACM", "research_areas": [ "Geometry", "Modeling" ], "keywords": [ "3D database exploration", "shape analysis", "shape collections" ], "weblinks": [], "files": [ { "description": "abstract", "filetitle": "abstract", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-abstract.pdf", "type": "application/pdf", "size": 1415754, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 3434, "image_height": 2277, "name": "leimer-2016-rpe-image.jpg", "type": "image/jpeg", "size": 2935937, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-poster.pdf", "type": "application/pdf", "size": 1305359, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1589, "image_height": 1028, "name": "leimer-2016-rpe-thumbnail.jpg", "type": "image/jpeg", "size": 835063, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png" }, { "description": "video", "filetitle": "video", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-rpe-video.mp4", "type": "video/mp4", "size": 7108944, "path": "Publication:leimer-2016-rpe", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:video.mp4" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/", "__class": "Publication" }, { "id": "leimer-2016-coan", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Co-Analysis and Parameterization of 3D Shape Collections for Shape Synthesis", "date": "2016", "abstract": "With online model repositories growing larger every day, both experienced and inexperienced modelers are presented with new possibilities for content creation. One such possibility is the creation of new shapes by combining parts of already existing shapes. The advantages of this shape synthesis method are that it takes less time than traditional modeling approaches and that it can be used even by inexperienced users. This thesis introduces a framework for this type of shape synthesis that consists of four stages, incorporating a new way for parameterization and exploration of shape collections. Using a modular and extensible approach, the co-analysis stage groups parts of shapes into categories based on their function, creating a correspondence between parts of different shapes. By analyzing relations between pairs of parts and how their spatial arrangements vary across the collection, a small number of parameters is found in the parameterization stage. Starting with an initial shape, these parameters can then be used to browse the collection in the exploration stage, either by altering the parameters directly or by interacting with the shape itself. Finally, in the synthesis stage a new shape can be created by exchanging parts of the initial shape with corresponding parts of the shapes found during the exploration.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 581, "image_height": 342, "name": "leimer-2016-coan-image.png", "type": "image/png", "size": 174845, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "date_end": "2016-02-29", "date_start": "2015-01-30", "matrikelnr": "0825842", "supervisor": [ 844 ], "research_areas": [ "Modeling" ], "keywords": [ "computer graphics", "3D shape segmentation", "3D shape co-analysis", "3D shape processing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 581, "image_height": 342, "name": "leimer-2016-coan-image.png", "type": "image/png", "size": 174845, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-coan-poster.pdf", "type": "application/pdf", "size": 2311490, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster:thumb{{size}}.png" }, { "description": "thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2016-coan-thesis.pdf", "type": "application/pdf", "size": 23133043, "path": "Publication:leimer-2016-coan", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/", "__class": "Publication" }, { "id": "musialski_2016_sosp", "type_id": "journalpaper", "tu_id": null, "repositum_id": null, "title": "Non-Linear Shape Optimization Using Local Subspace Projections", "date": "2016", "abstract": "In this paper we present a novel method for non-linear shape optimization of 3d objects given by their surface representation. Our method takes advantage of the fact that various shape properties of interest give rise to underdetermined design spaces implying the existence of many good solutions. Our algorithm exploits this by performing iterative projections of the problem to local subspaces where it can be solved much more efficiently using standard numerical routines.\n\nWe demonstrate how this approach can be utilized for various shape optimization tasks using different shape parameterizations. In particular, we show how to efficiently optimize natural frequencies, mass properties, as well as the structural yield strength of a solid body. Our method is flexible, easy to implement, and very fast.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1774, "image_height": 1024, "name": "musialski_2016_sosp-image.png", "type": "image/png", "size": 1030436, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844, 1090, 1063, 836, 193, 1243 ], "date_from": "2016-07-24", "date_to": "2016-07-28", "doi": "10.1145/2897824.2925886", "event": "ACM SIGGRAPH 2016", "issn": "0730-0301", "journal": "ACM Transactions on Graphics", "lecturer": [ 844, 1090 ], "location": "Anaheim, CA, USA", "number": "4", "pages_from": "87:1", "pages_to": "87:13", "volume": "35", "research_areas": [ "Fabrication", "Geometry" ], "keywords": [], "weblinks": [ { "href": "http://doi.acm.org/10.1145/2897824.2925886", "caption": "doi", "description": null, "main_file": 0 } ], "files": [ { "description": "MATLAB demo code of subspace projection", "filetitle": "code", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-code.zip", "type": "application/octet-stream", "size": 2180501, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-code.zip", "thumb_image_sizes": [] }, { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1774, "image_height": 1024, "name": "musialski_2016_sosp-image.png", "type": "image/png", "size": 1030436, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png" }, { "description": "paper, full resolution", "filetitle": "paper_25MB", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-paper_25MB.pdf", "type": "application/pdf", "size": 27147489, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB:thumb{{size}}.png" }, { "description": "paper, low resolution", "filetitle": "paper_3MB", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-paper_3MB.pdf", "type": "application/pdf", "size": 2640714, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB:thumb{{size}}.png" }, { "description": "[150 KB]", "filetitle": "supplemental", "main_file": true, "use_in_gallery": false, "access": "public", "name": "musialski_2016_sosp-supplemental.pdf", "type": "application/pdf", "size": 154825, "path": "Publication:musialski_2016_sosp", "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/", "__class": "Publication" }, { "id": "hafner-2015-eigf", "type_id": "masterthesis", "tu_id": null, "repositum_id": null, "title": "Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling", "date": "2015-09", "abstract": "Given a target shape and a target frequency, we automatically synthesize shapes that exhibit this frequency as part of their natural spectrum while resembling the target shape as closely as possible. We propose three shape parametrization methods that afford meaningful degrees of freedom in the design of instruments such as marimbas and bells. The design space is based on the representation of a solid as the volume enclosed by an outer surface and an inner offset surface. In order to evaluate the natural frequency spectrum of a solid, we employ finite element modal analysis and evaluate the suitability of different element types. We propose a fabrication method for the production of optimized instruments by an amateur craftsperson using sand or rubber molds. The efficiency of our method is demonstrated by the production of a simple tin bell and a more complicated bell in the shape of a rabbit. We achieve agreement with the predicted pitch frequencies of 2.8% and 6% respectively. These physical results are supplemented by a number of computational results that explore the optimization of harmonic ratios and the influence of mesh resolution and mesh smoothness on the accuracy of the finite element model.", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2110, "image_height": 1500, "name": "hafner-2015-eigf-image.png", "type": "image/png", "size": 1604255, "path": "Publication:hafner-2015-eigf", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1090 ], "date_end": "2015-09-21", "date_start": "2015-01-30", "matrikelnr": "0925172", "supervisor": [ 844, 193 ], "research_areas": [ "Fabrication" ], "keywords": [ "physically based modeling", "computer graphics", "digital fabrication", "3D shape optmization", "3D shape processing" ], "weblinks": [], "files": [ { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2110, "image_height": 1500, "name": "hafner-2015-eigf-image.png", "type": "image/png", "size": 1604255, "path": "Publication:hafner-2015-eigf", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image:thumb{{size}}.png" }, { "description": "poster", "filetitle": "poster", "main_file": true, "use_in_gallery": false, "access": "public", "name": "hafner-2015-eigf-poster.pdf", "type": "application/pdf", "size": 4484762, "path": "Publication:hafner-2015-eigf", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-poster.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-poster:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/", "__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. 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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": "musialski-2015-pixel", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Computational Design for Consumer-Level Fabrication", "date": "2015", "abstract": "Digital fabrication is currently a rapidly emerging field in several science and engineering fields. Especially the technique of additive manufacturing (AM), commonly referred to as 3d printing, is a fast growing area. While this technology is in essence not new, the recent expiration of key patents for 3d-printing technology led to a break-through, which already also arrived at the consumer-level 3d-printers market. This development brings about novel requirements on digital model design. Traditional fields used to deal with digital manufacturing, like rapid prototyping, material sciences, or industrial engineering learned to deal with existing CAD-software in order to create digital content. However, the expansion of the digital fabrication technology into everybody’s homes and offices brings about the demand for novel paradigms of consumer-level computational design. This novel personal fabrication aims at bridging the gap between the still advancing digital domain and the “good old” physical world. In this talk I will give an overview of current development of such computational design in the field of computer graphics and provide details on an example application. \r\n\r\nLink: http://www.pixelvienna.com/10/event/talks#musialski", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1648, "image_height": 927, "name": "musialski-2015-pixel-thumbnail.png", "type": "image/png", "size": 101955, "path": "Publication:musialski-2015-pixel", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2015-11-01", "date_to": "2015-11-01", "event": "PIXEL X - Annual Austrian Computer Graphics and Animation Conference, Vienna, Austria", "location": "PIXEL X, TU Wien, Karlsplatz 1, Vienna, Austria", "research_areas": [], "keywords": [ "digital fabrication", "geometry processing", "shape optimization", "computational design" ], "weblinks": [], "files": [ { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-pixel-slides.pdf", "type": "application/pdf", "size": 2432505, "path": "Publication:musialski-2015-pixel", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-slides:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1648, "image_height": 927, "name": "musialski-2015-pixel-thumbnail.png", "type": "image/png", "size": 101955, "path": "Publication:musialski-2015-pixel", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/", "__class": "Publication" }, { "id": "musialski-2015-vrvis", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Shape Optimization for Consumer-Level 3D Printing", "date": "2015", "abstract": "Traditionally, 3d modelling in computer graphics deals with the geometric and visual aspects of 3d shapes. On the other hand, due to the growing capabilities of personal digital fabrication technology and its spread into offices and homes, 3d models are increasingly entering the physical world. Therefore, the physical properties of 3d models come into focus. For example, 3d-printed models should be able to stand balanced in a desired pose without toppling over, or should react in certain ways when external forces are applied, like spinning the object. It is thus desirable to have methods that allow the user to specify the intended physical properties of an object in addition to its 3d geometry, and which automatically take these properties into account when generating a specification for a 3d printer.\r\n\r\nIn this talk I will give an introduction to such computational design problems and introduce our novel method for shape optimization based on offset surfaces.\r\n\r\n\r\nLink: http://www.vrvis.at/research/events/vrvisforum/vrvisforum-123-29.10.2015", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-vrvis-thumbnail.png", "type": "image/png", "size": 96358, "path": "Publication:musialski-2015-vrvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2015-10-29", "date_to": "2015-10-29", "event": "VRVisForum #123", "location": "VRVis, Techgate Vienna, Austria", "research_areas": [], "keywords": [ "shape optimization", "geometry processing", "digital fabrication" ], "weblinks": [], "files": [ { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-vrvis-slides.pdf", "type": "application/pdf", "size": 2945919, "path": "Publication:musialski-2015-vrvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-slides:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-vrvis-thumbnail.png", "type": "image/png", "size": 96358, "path": "Publication:musialski-2015-vrvis", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/", "__class": "Publication" }, { "id": "musialski-2015-ista", "type_id": "talk", "tu_id": null, "repositum_id": null, "title": "Reduced-Order Shape Optimization Using Offset Surfaces", "date": "2015", "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. \r\n\r\n\r\nLink: https://ist.ac.at/events/symposia-conferences/2015/siggraph-nano-ist-austria/date/433/", "authors_et_al": false, "substitute": null, "main_image": { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-ista-thumbnail.png", "type": "image/png", "size": 138609, "path": "Publication:musialski-2015-ista", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 844 ], "date_from": "2015-06-24", "date_to": "2015-06-24", "event": "SIGGRAPH Nano @ Institute of Science and Technology (IST), Austria", "location": "Institute of Science and Technology (IST), Austria", "research_areas": [], "keywords": [ "geometry processing", "digital fabrication", "shape optimization" ], "weblinks": [], "files": [ { "description": "slides", "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "musialski-2015-ista-slides.pdf", "type": "application/pdf", "size": 4213999, "path": "Publication:musialski-2015-ista", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-slides.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-slides:thumb{{size}}.png" }, { "description": "thumbnail", "filetitle": "thumbnail", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1600, "image_height": 900, "name": "musialski-2015-ista-thumbnail.png", "type": "image/png", "size": 138609, "path": "Publication:musialski-2015-ista", "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail:thumb{{size}}.png" } ], "projects_workgroups": [ "MAKE-IT-FAB" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/", "__class": "Publication" } ]