Repeatable Local Coordinate Frames for 3D Human Motion Tracking: From Rigid to Non-rigid
Huang CH, Tombari F, Navab N (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 371-379
Conference Proceedings Title: Proceedings - 2015 International Conference on 3D Vision, 3DV 2015
Event location: Lyon, FRA
ISBN: 9781467383325
DOI: 10.1109/3DV.2015.49
Abstract
Local coordinate frame (LCF) is a key component deployed in most 3D descriptors for invariant representations of 3D surfaces. This paper addresses the problem of attaching a LCF to non-rigidly deforming objects, in particular humanoid surfaces, with the application of recovering correspondences between the template model and input data for 3D human motion tracking. We facilitate this by extending two current LCF paradigms for rigid surface matching to the non-rigid case. Such an adaptation is motivated by the assumption that interpolating locally rigid movements often amounts to smooth globally non-rigid deformations. Both approaches leverage spatial distributions, based on signed distance and principal component analysis, respectively. Furthermore, we advocate a new strategy that incorporates multiple LCF candidates. This way we relax the requirement of perfectly repeatable LCFs, and yet still achieve improved data-model associations. Ground truth for non-rigid LCFs are synthetically generated by interpolating locally-rigidly transformed LCFs. Therefore, the proposed methods can be evaluated extensively in terms of repeatability of LCFs, robustness on estimating correspondences, and accuracy of final tracking results. All the experiments demonstrate the benefits of the proposed methods with respect to the state-of-the-art.
Involved external institutions
Germany (DE)How to cite
APA:
Huang, C.-H., Tombari, F., & Navab, N. (2015). Repeatable Local Coordinate Frames for 3D Human Motion Tracking: From Rigid to Non-rigid. In Michael Brown, Jana Kosecka, Christian Theobalt (Eds.), Proceedings - 2015 International Conference on 3D Vision, 3DV 2015 (pp. 371-379). Lyon, FRA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Huang, Chun-Hao, Federico Tombari, and Nassir Navab. "Repeatable Local Coordinate Frames for 3D Human Motion Tracking: From Rigid to Non-rigid." Proceedings of the 2015 International Conference on 3D Vision, 3DV 2015, Lyon, FRA Ed. Michael Brown, Jana Kosecka, Christian Theobalt, Institute of Electrical and Electronics Engineers Inc., 2015. 371-379.
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