[ { "id": "leimer-2023-ecd", "type_id": "phdthesis", "tu_id": null, "repositum_id": "20.500.12708/187418", "title": "Ergonomics-Driven Computational Design of Furniture and Indoor Layouts", "date": "2023-05", "abstract": "Humans spend a large proportion of their lives indoors, be it at home, at their workplace, or in public facilities like restaurants or museums, making the design of such indoor spaces an important task. There are many different requirements for both the design of individual pieces of furniture and their arrangement within a given space, making extensive expert knowledge in this field anecessity to achieve the desired design goals in terms of functional, aesthetic and ergonomic quality. While Computer-Aided Design software can aid the user in this task, existing tools often focus on just one specific aspect of the design process. In particular, making sure that a given design adheres to ergonomic guidelines is often left entirely to the designer, making it a difficult task especially for novice users. In this thesis, we explore different approaches of how ergonomic aspects of interior design can be integrated into interactive, automated or data-driven methods for the design of seating furniture and indoor layouts. The first part of the thesis presents an interactive method for the design of seating furniture. Given a triangular mesh of a human body in a specific pose as input, we first compute an approximate pressure distribution on the human body to learn where it needs the most support. A given inital design for a piece of seating furniture is then deformed to provide optimal support to the body while still conforming to the aesthetic design as much as possible. The design can furthermore be modified interactively. We demonstrate that this approach allows even novice users to create comfortable seating furniture designs in a short time span. While an interactive approach provides more control to the user, it also requires substantial manual design effort, making it difficult to use for novice designers. The second part of this thesis proposes a method for the automated generation of seating furniture which depends entirely on the target pose. The designs created with this approach can be used as-is or as an initial design for the approach introduced in the first part of the thesis. Our method for computing the pressure distribution is furthermore extended by taking into account the weight of individual limbs and estimating the frictional forces acting on the body for increased accuracy. Our results show that the proposed method can further improve the designs of seating furniture when used in conjunction with our interactive design tool. Since the ergonomic qualities of seating furniture do not only depend on the design of the furniture itself, but also its relation to the other elements of the surrounding indoor space, the third part of the thesis introduces a data-driven approach for the design of indoor layouts. Since common guidelines for interior design are so numerous, it is an infeasible task to define all of them explicitly when developing a computational design method. Using a data-driven approach makes it possible to implicitly learn about these rules given a large set of suitable examples. But good example data is not always readily available in large quantities; existing datasets may fulfill some of the desired rules, but lack in other areas. We therefore propose a deep-learning approach thatmakes use of the advantages of data-driven learning, while at the same time correcting flaws in the dataset using a small set of explicitly designed rules drawn from ergonomics literature. We evaluate the designs synthesized by this approach using a perceptual study and show that theresults are seen as equally or even more realistic than the ground truth designs that were used to train the deep learning model.", "authors_et_al": false, "substitute": null, "main_image": { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 369, "image_height": 369, "name": "leimer-2023-ecd-image.png", "type": "image/png", "size": 85972, "path": "Publication:leimer-2023-ecd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image:thumb{{size}}.png" }, "sync_repositum_override": "date,projects", "repositum_presentation_id": null, "authors": [ 1019 ], "co_supervisor": [ 844 ], "date_end": "2023-05-31", "date_start": "2016-03-01", "doi": "10.34726/hss.2023.113961", "matrikelnr": "00825842", "open_access": "yes", "pages": "115", "reviewer_1": [ 5282 ], "reviewer_2": [ 194 ], "rigorosum": "2023-05-31", "supervisor": [ 193 ], "research_areas": [ "Modeling" ], "keywords": [ "Computational Design", "Computer-Aided Design", "Generative Deep Learning", "Shape Optimization" ], "weblinks": [], "files": [ { "description": null, "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 369, "image_height": 369, "name": "leimer-2023-ecd-image.png", "type": "image/png", "size": 85972, "path": "Publication:leimer-2023-ecd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image:thumb{{size}}.png" }, { "description": null, "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2023-ecd-thesis.pdf", "type": "application/pdf", "size": 4423498, "path": "Publication:leimer-2023-ecd", "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "rend" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/", "__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": "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": "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": "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": "leimer-2014-fsco", "type_id": "studentproject", "tu_id": null, "repositum_id": null, "title": "A Framework for Shape Co-Analysis", "date": "2014", "abstract": "This application serves as a framework for Co-Analysis, in which a set of meshes of a specific category (e.g. candelabra or chairs) is analysed in an attempt to group the parts constituting each mesh into semantic categories. This is achieved by first individually subdividing each mesh into smaller segments and then clustering the segments of all meshes based on their face-level features. In the example pictured above, the mesh parts are grouped into 4 distinct categories, each represented by a different color. Furthermore, the framework allows the selection of different algorithms for each step of the Co-Analysis pipeline and can also be easily extended by adding more algorithms. ", "authors_et_al": false, "substitute": null, "main_image": { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 600, "name": "leimer-2014-fsco-image.jpg", "type": "image/jpeg", "size": 522033, "path": "Publication:leimer-2014-fsco", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "date_start": "2014-09-01", "matrikelnr": "0825842", "supervisor": [ 844 ], "research_areas": [], "keywords": [ "shape processing", "shape segmentation", "shape co-analysis" ], "weblinks": [], "files": [ { "description": "docu", "filetitle": "docu", "main_file": false, "use_in_gallery": false, "access": "public", "name": "leimer-2014-fsco-docu.pdf", "type": "application/pdf", "size": 356192, "path": "Publication:leimer-2014-fsco", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-docu.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-docu:thumb{{size}}.png" }, { "description": "image", "filetitle": "image", "main_file": false, "use_in_gallery": true, "access": "public", "image_width": 1121, "image_height": 600, "name": "leimer-2014-fsco-image.jpg", "type": "image/jpeg", "size": 522033, "path": "Publication:leimer-2014-fsco", "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image.jpg", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image:thumb{{size}}.png" } ], "projects_workgroups": [ "PAMINA" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/", "__class": "Publication" }, { "id": "leimer-2013-esopc", "type_id": "bachelorthesis", "tu_id": null, "repositum_id": null, "title": "External Sorting of Point Clouds", "date": "2013-09", "abstract": "In recent years, points have seen increased use as a rendering primitive. This Bachelor Thesis presents and compares a number of sorting algorithms used for sorting points in a preprocessing step. This is done in order to decrease the time needed to create a point cloud model that can be rendered by the GPU in real time. Points are compared either by their position along the longest axis or by Morton order and sorted using heap sort or radix sort. An external merge sort algorithm is used for large datasets that do not completely fit into memory. The speed of the sorting process is furthermore increased by making use of parallel processing.", "authors_et_al": false, "substitute": null, "main_image": { "description": "Test model for sorting", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1382, "image_height": 873, "name": "leimer-2013-esopc-image.png", "type": "image/png", "size": 2914077, "path": "Publication:leimer-2013-esopc", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image:thumb{{size}}.png" }, "sync_repositum_override": null, "repositum_presentation_id": null, "authors": [ 1019 ], "matrikelnr": "0825842", "supervisor": [ 614 ], "research_areas": [], "keywords": [ "Point Clouds", "Sorting", "Out-of-Core algorithms" ], "weblinks": [], "files": [ { "description": "Test model for sorting", "filetitle": "image", "main_file": false, "use_in_gallery": false, "access": "public", "image_width": 1382, "image_height": 873, "name": "leimer-2013-esopc-image.png", "type": "image/png", "size": 2914077, "path": "Publication:leimer-2013-esopc", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image.png", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image:thumb{{size}}.png" }, { "description": "The Bachelors Thesis", "filetitle": "thesis", "main_file": true, "use_in_gallery": false, "access": "public", "name": "leimer-2013-esopc-thesis.pdf", "type": "application/pdf", "size": 5920226, "path": "Publication:leimer-2013-esopc", "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-thesis.pdf", "thumb_image_sizes": [ 16, 64, 100, 175, 300, 600 ], "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-thesis:thumb{{size}}.png" } ], "projects_workgroups": [ "TERAPOINTS" ], "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/", "__class": "Publication" } ]