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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tresadern, P. Reid, I. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Eng. Sci., Oxford Univ., UK (Tresadern, P.; Reid, I.) |
| Abstract | Human motion capture typically requires several high quality, synchronized and calibrated cameras in a studio environment and can be potentially costly and technically complex. Instead, we propose a system which combines and improves upon two existing techniques, yielding an efficient method that recovers maximum likelihood joint angles and anthropomorphic data of the subject by factorization. The first technique concerns using a rank constraint framework to synchronize sequences of non-rigid motions where we extend affine methods to perspective and homography projection models. The second is a self-calibration method for two affine cameras, using constraints derived from prior knowledge of the underlying structure. We propose a minimal parameterization of the system to obtain an initial solution then apply a full bundle adjustment over the free parameters based on a geometric error We demonstrate the efficacy of our method by comparing the recovered structure and motion with that from a commercial motion capture system. |
| Sponsorship | IEEE Comput. Soc |
| File Size | 548117 |
| File Format | |
| ISBN | 0769521584 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2004.1315023 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humans Cameras Calibration Motion estimation Computer vision Anthropomorphism Motion control Control systems Tracking Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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