[ { "id": "pahr-2024-squishicalization", "type_id": "journalpaper_notalk", "tu_id": null, "repositum_id": "20.500.12708/208691", "title": "Squishicalization: Exploring Elastic Volume Physicalization", "date": "2024-12", "abstract": "We introduce Squishicalization , a pipeline for generating physicalizations of volumetric data that encode scalar information through their physical characteristics—specifically, by varying their “squishiness” or local elasticity. Data physicalization research is increasingly exploring multisensory information encoding, with a particular focus on enhancing direct interactivity. With Squishicalization , we leverage the tactile dimension of physicalization as a means of direct interactivity. Inspired by conventional volume rendering, we adapt the concept of transfer functions to encode scalar values from volumetric data into local elasticity levels. In this way, volumetric scalar data are transformed into sculptures, where the elasticity represents physical properties such as the material's density distribution within the volume. In our pipeline, scalar values guide the weighted sampling of the scalar field. The sampled data is then processed through Voronoi tessellation to create a sponge-like structure, which can be printed with consumer-grade 3D printers and readily available filament. To validate our pipeline, we conduct a computational and mechanical evaluation, as well as a two-stage perceptual study of the capabilities of our generated squishicalizations. To further investigate potential application scenarios, we interview experts across several domains. Finally, we summarize actionable insights and future avenues for the application of our All supplemental materials are available at https://osf.io/35gnv/?view_only=605e5085061f40439a98545f0c447cf3 .", "authors_et_al": false, "substitute": null, "main_image": { "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2177, "image_height": 1639, "name": "pahr-2024-squishicalization-teaser.png", "type": "image/png", "size": 3380920, "path": "Publication:pahr-2024-squishicalization", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png" }, "sync_repositum_override": "projects,open_access", "repositum_presentation_id": null, "authors": [ 1813, 5430, 1464, 1410 ], "doi": "10.1109/TVCG.2024.3516481", "issn": "1941-0506", "journal": "IEEE Transactions on Visualization and Computer Graphics", "open_access": "yes", "pages": "14", "pages_from": "1", "pages_to": "14", "publisher": "IEEE COMPUTER SOC", "research_areas": [ "Fabrication" ], "keywords": [ "Elasticity", "Three Dimensional Printing", "Pipelines", "Fabrication", "Microstructures", "Rendering Computer Graphics", "Encoding", "Printing", "Data Physicalization", "Data Visualization", "Digital Fabrication" ], "weblinks": [], "files": [ { "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.", "filetitle": "teaser", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 2177, "image_height": 1639, "name": "pahr-2024-squishicalization-teaser.png", "type": "image/png", "size": 3380920, "path": "Publication:pahr-2024-squishicalization", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/", "__class": "Publication" }, { "id": "schultes_lampi", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Live Ambient Physicalization Interface for dynamic Data - LAMPI", "date": "2024-11", "abstract": "Data physicalizations are becoming increasingly popular as a means of connecting people to abstract data and may help integrate the flood of information collected by modern technology into our everyday lives. In this thesis, I describe the design process for a software framework facilitating the physicalization of a stream of live data as well as the prototype of a dynamic shape and color-changing data physicalization for said data. I simulated elderly patients sharing their data using a recorded dataset to show the capabilities of the software framework and physicalization. The proposed concept provides a new method for communicating data in remote monitoring scenarios that can be built from accessible materials. It is also capable of showcasing data for other use cases with minimal adaptations, further expanding the possibilities for data physicalization.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1750, "image_height": 1800, "name": "schultes_lampi-teaser.png", "type": "image/png", "size": 2507235, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 5416 ], "date_end": "2024-11", "date_start": "2024-06", "matrikelnr": "12025959", "supervisor": [ 1813 ], "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "teaser", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1750, "image_height": 1800, "name": "schultes_lampi-teaser.png", "type": "image/png", "size": 2507235, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": false, "use_in_gallery": false, "access": "public", "name": "schultes_lampi-thesis.pdf", "type": "application/pdf", "size": 27678879, "path": "Publication:schultes_lampi", "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/", "__class": "Publication" }, { "id": "Staudacher_2022", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "3D-Printing to Understand Complex Topologies", "date": "2022-03-18", "abstract": "In education and teaching, the way a topic or a concept is presented can be an important factor in how easily and thoroughly it can be grasped by students. The goal of this thesis project is to make a complex subject tangible, in this case the three-dimensional appearance of a mathematical term describing a certain topology and the way it is shaped by its parameters.\nThe approach involves 3D-fabrication of such artefacts in an attempt at providing a helpful tool to comprehend the peculiarities of such objects. A software program was created to preview and manipulate topological objects from their parameterized representations as part of this thesis. Once the shape resembles the intentions of the user, the data can be exported in a format that is suitable for further processing and finally “3D-printing”.\nThe proof-of-concept software as well as other auxiliary tools described in this document can be used to produce physical 3D-artefacts of the described models. While it might be seen as a starting point to elaborate further on this topic, some issues become apparent throughout each of the steps leading from the selection of the object, the preparation before fabrication all the way to the real-world artefacts that were created. Any future work might want to consider these issues and possibly find better solutions to work around given limitations, and maybe find inspiration in the suggested propositions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 363, "name": "Staudacher_2022-Image.JPG", "type": "image/jpeg", "size": 48445, "path": "Publication:Staudacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1347 ], "date_end": "2022-03-18", "date_start": "2017-09-10", "matrikelnr": "00825724", "supervisor": [ 166 ], "research_areas": [ "Fabrication" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "Bachelor thesis", "main_file": true, "use_in_gallery": true, "access": "public", "name": "Staudacher_2022-Bachelor thesis.pdf", "type": "application/pdf", "size": 8411448, "path": "Publication:Staudacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Bachelor thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Bachelor thesis:thumb{{size}}.png" }, { "description": null, "filetitle": "Image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 639, "image_height": 363, "name": "Staudacher_2022-Image.JPG", "type": "image/jpeg", "size": 48445, "path": "Publication:Staudacher_2022", "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/", "__class": "Publication" }, { "id": "pahr-2021-vologram", "type_id": "inproceedings", "tu_id": 300436, "repositum_id": "20.500.12708/58633", "title": "Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization", "date": "2021-09", "abstract": "Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the computer-assisted generation of sculptures that can be employed for anatomical education among the general population. We propose a workflow that supports non-expert users to generate and physically display volumetric medical data in a visually appealing and engaging way. Our approach generates slide-based, interactive sculptures-called volograms-that resemble holograms of underlying medical data. The volograms are made out of affordable and readily available materials (e.g., transparent foils and cardboard) and can be produced through commonly available means. To evaluate the educational value of the proposed approach with our target audience, we assess the volograms, as opposed to classical, on-screen medical visualizations in a user study. The results of our study, while highlighting current weaknesses of our physicalization, also point to interesting future directions.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, "sync_repositum_override": "date", "repositum_presentation_id": null, "authors": [ 1813, 1464, 1410 ], "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine", "cfp": { "name": "Full, Short & Survey Papers – VCBM 2021.pdf", "type": "application/pdf", "error": "0", "size": "446938", "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf", "ext": "pdf" }, "doi": "10.2312/vcbm.20211341", "event": "Eurographics Workshop on Visual Computing for Biology and Medicine", "issn": "2070-5786", "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine", "lecturer": [ 1813 ], "pages": "5", "pages_from": "19", "pages_to": "23", "publisher": "Eurographics Association", "volume": "VCBM 2021", "research_areas": [ "Fabrication", "IllVis", "MedVis" ], "keywords": [ "Physicalization", "Anatomy Education" ], "weblinks": [ { "href": "https://doi.org/10.2312/vcbm.20211341", "caption": null, "description": null, "main_file": 0 } ], "files": [ { "description": null, "filetitle": "Image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 4032, "image_height": 3024, "name": "pahr-2021-vologram-Image.JPG", "type": "image/jpeg", "size": 954594, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png" }, { "description": null, "filetitle": "Video", "main_file": false, "use_in_gallery": false, "access": "public", "name": "pahr-2021-vologram-Video.mp4", "type": "video/mp4", "size": 138438430, "path": "Publication:pahr-2021-vologram", "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video.mp4", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:thumb{{size}}.png", "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:video.mp4" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/", "__class": "Publication" }, { "id": "schindler_2020vis", "type_id": "inproceedings", "tu_id": null, "repositum_id": "20.500.12708/58250", "title": "The Anatomical Edutainer", "date": "2020-10", "abstract": "Physical visualizations (i.e., data representations by means of physical objects) have been used for many centuries in medical and anatomical education. Recently, 3D printing techniques started also to emerge. Still, other medical physicalizations that rely on affordable and easy-to-find materials are limited, while smart strategies that take advantage of the optical properties of our physical world have not been thoroughly investigated. We propose the Anatomical Edutainer, a workflow to guide the easy, accessible, and affordable generation of physicalizations for tangible, interactive anatomical edutainment. The Anatomical Edutainer supports 2D printable and 3D foldable physicalizations that change their visual properties (i.e., hues of the visible spectrum) under colored lenses or colored lights, to reveal distinct anatomical structures through user interaction.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1760, 1464, 1410 ], "booktitle": "IEEE Vis Short Papers 2020", "cfp": { "name": "Short Paper Call for Participation.pdf", "type": "application/pdf", "error": "0", "size": "132515", "orig_name": "Short Paper Call for Participation.pdf", "ext": "pdf" }, "event": "IEEE Vis 2020", "lecturer": [ 1410 ], "pages_from": "1", "pages_to": "5", "research_areas": [ "Fabrication", "IllVis", "MedVis", "Perception" ], "keywords": [ "Data Physicalization", "Medical Visualization", "Anatomical Education" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 256, "image_height": 192, "name": "schindler_2020vis-image.png", "type": "image/png", "size": 75476, "path": "Publication:schindler_2020vis", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper preprint", "main_file": true, "use_in_gallery": false, "access": "public", "preview_image_width": 416, "preview_image_height": 421, "name": "schindler_2020vis-paper preprint.pdf", "type": "application/pdf", "size": 26317989, "path": "Publication:schindler_2020vis", "preview_name": "schindler_2020vis-paper preprint:preview.JPG", "preview_type": "image/jpeg", "preview_size": 43449, "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/", "__class": "Publication" }, { "id": "korpitsch-2020-cescg", "type_id": "techreport", "tu_id": null, "repositum_id": null, "title": "Optimising 3D Mesh Unfoldings with Additional Gluetabs using Simulated Annealing", "date": "2020-05-03", "abstract": "3D Mesh unfolding is a process of transforming a 3D mesh into one or several 2D planar patches. The technique is widely used to produce papercraft models, where 3D ob- jects can be reconstructed from printed paper or paper-like materials. Nonetheless, the reconstruction of such mod- els can be arduous. In this paper, we aim to unfold a 3D mesh into a single 2D patch and introduce Gluetabs as ad- ditional indicators and in order to give users extra space to apply glue for better reconstruction quality. To avoid unnecessary Gluetabs, we reduce their number, while still guaranteeing the stability of the constructed model. To achieve this, a minimum spanning tree (MST) is used to describe possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding without overlaps. We aim to unfold 3D triangular meshes into sin- gle 2D patches without applying shape distortions, while appropriately assigning a reasonable amount of Gluetabs. Moreover, we incorporate a visual indicator scheme as a post-process to guide users during the model reconstruc- tion process. Our quantitative evaluation suggests that the proposed approach produces fast results for meshes under 400 faces.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 268, "name": "korpitsch-2020-cescg-image.png", "type": "image/png", "size": 95348, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697, 1464 ], "booktitle": "CESCG ", "number": "TR-193-02-2020-2", "research_areas": [ "Fabrication" ], "keywords": [], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 382, "image_height": 268, "name": "korpitsch-2020-cescg-image.png", "type": "image/png", "size": 95348, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png" }, { "description": "This paper has been selected for the Best Paper Award at CESCG 2020.", "filetitle": "paper", "main_file": true, "use_in_gallery": false, "access": "public", "name": "korpitsch-2020-cescg-paper.pdf", "type": "application/pdf", "size": 13734147, "path": "Publication:korpitsch-2020-cescg", "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper:thumb{{size}}.png" } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/", "__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": "korpitsch_thorsten-2019", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "Optimising 3D Mesh Unfoldings with Additional Gluetags using Simulated Annealing", "date": "2019-09-17", "abstract": "3D Mesh Unfolding is the process of transforming a 3D mesh into a 2D planar patch. This\ntechnique can be used to create papercraft models, where 3D objects get reconstructed\nfrom planar paper or paper-like material. As the reconstruction of unfolded models\ncan be very hard, users need indicators of which faces have to be glued together. In\nthis thesis, Gluetags are introduced to give users extra space to apply glue to ease\nthe reconstruction. The addition of these Gluetags increases the difficulty of finding\noverlap-free unfoldings that can be cut out of a single piece of paper to reconstruct the\nmodel. The amount of possible unfoldings increases while the solution space shrinks when\nGluetags are added. A minimum spanning tree approach is used to compute possible\nunfoldings, whereas simulated annealing is used to find an unfolding with no overlaps.\nQuantitative experiments suggest that the proposed method can yield fast results for\nsmaller meshes. Results for larger meshes are achievable within an increased timeframe,\nbut they also show time limitations for this approach.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1330, "image_height": 987, "name": "korpitsch_thorsten-2019-image.png", "type": "image/png", "size": 828356, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1697 ], "date_end": "2019-09-27", "date_start": "2019-03-22", "matrikelnr": "01529243", "supervisor": [ 1464 ], "research_areas": [ "Fabrication" ], "keywords": [ "mesh unfolding" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": true, "use_in_gallery": true, "access": "public", "image_width": 1330, "image_height": 987, "name": "korpitsch_thorsten-2019-image.png", "type": "image/png", "size": 828356, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image:thumb{{size}}.png" }, { "description": null, "filetitle": "paper", "main_file": false, "use_in_gallery": false, "access": "public", "name": "korpitsch_thorsten-2019-paper.pdf", "type": "application/pdf", "size": 2650367, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-paper.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-paper:thumb{{size}}.png" }, { "description": null, "filetitle": "slides", "main_file": false, "use_in_gallery": false, "access": "public", "name": "korpitsch_thorsten-2019-slides.pptx", "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation", "size": 9566545, "path": "Publication:korpitsch_thorsten-2019", "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-slides.pptx", "thumb_image_sizes": [] } ], "projects_workgroups": [ "vis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/", "__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": "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": "Reichinger-2016-spaghetti", "type_id": "inproceedings", "tu_id": null, "repositum_id": null, "title": "Spaghetti, Sink and Sarcophagus: Design Explorations of Tactile Artworks for Visually Impaired People", "date": "2016-10", "abstract": null, "authors_et_al": false, "substitute": null, "main_image": null, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 879, 190 ], "booktitle": "Proceedings of the 9th Nordic Conference on CHI 2016", "date_from": "2016", "event": "9th Nordic Conference on CHI 2016", "lecturer": [ 879 ], "research_areas": [ "Fabrication", "Perception" ], "keywords": [], "weblinks": [], "files": [], "projects_workgroups": [ "VRVis" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger-2016-spaghetti/", "__class": "Publication" }, { "id": "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%. 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The number of people arriving at a country from a specific origin strongly varies over time. In this poster, we describe two different methods to immersively visualize dynamic migration. We utilize discrete time flattening to create a three-dimensional spacetime-cube-like representation in two separate manifestations: i) A physical sculpture made of transparent media and ii) an AR visualization for smartphones. 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