Modeling deformable objects from a single depth camera
Abstract
We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at least once. The core of this algorithm is based on the assumption that the deformation is continuous and predictable in a short temporal interval. While the camera can only capture part of a whole surface at any time instant, partial surfaces reconstructed from different times are assembled together to form a complete 3D surface for each time instant, even when the shape is under severe deformation. A mesh warping algorithm based on linear mesh deformation is used to align different partial surfaces. A volumetric method is then used to combine partial surfaces, fix missing holes, and smooth alignment errors. Our experiment shows that this approach is able to reconstruct visually plausible 3D surface deformation results with a single camera.
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Groupwise registration techniques have been developed [33], [123] which are typically more reliable, and reduce the accumulated errors that arise in pairwise registration.
“Groupwise registration techniques have been developed [33], [123] which are typically more reliable, and reduce the accumulated errors that arise in pairwise registration.”
From Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid (2013) · cites this paper as [33]
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- Authors
- Liao, M., Zhang, Q., Wang, H., Yang, R., & Gong, M.
- Affiliations
- University of Kentucky (US)
- Georgia Institute of Technology (US)
- Memorial University of Newfoundland (CA)
- Venue
- 2009 IEEE 12th International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2009-09
- Pages
- 167-174
- OpenAlex
- W2105906154
- Cited by
- 101
- References
- 43
- Citations by year
- 2024: 5 · 2023: 3 · 2022: 1 · 2021: 2 · 2020: 5 · 2019: 9 · 2018: 11 · 2017: 8 · 2016: 5 · 2015: 9 · 2014: 10 · 2013: 14 · 2012: 10
- FWCI
- 13.81
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE/CVF International Conference on Computer Vision (ICCV) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Keywords
- 3D surface reconstruction, mesh warping, hole filling
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