Title data
Bloeß, Josua ; Henrich, Dominik:
Incremental Online Reconstruction of Locally Quadric Surfaces.
In:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022). Volume 1. GRAPP. -
Setúbal
: SciTePress
,
2022
. - pp. 155-162
ISBN 978-989-758-555-5
DOI: https://doi.org/10.5220/0010795100003124
Related URLs
Project information
Project title: |
Project's official title Project's id HandCAD No information |
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Abstract in another language
Representing surfaces of a digital 3D model using high level geometric information is key to lots of geometric processing and other use cases. In order to obtain these 3D models, various scanning methods have been proposed. We contribute a method for incremental reconstruction of surfaces from a series of point clouds.
For this, we use a robust over-segmentation technique on a point cloud and build a memory efficient graph structure upon it. Over time, we expand this graph structure as global representation. We also propose a fast fitting algorithm for quadric surface patches to the graph structure. We validate the overall performance in our experiments.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | Reconstruction; Segmentation; Point cloud; Surface fitting; Quadrics; Online computation; 3D-image processing |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 14 Feb 2025 10:02 |
Last Modified: | 15 Apr 2025 11:35 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92333 |