Zhou, H. and Li, Xuelong and Liu, T. and Ling, F. and Pang, Y. and Wu, J. and Dong, J. and Wu, J. (2008) Recovery of nonrigid structures from 2d observations. International Journal of Pattern Recognition and Artificial Intelligence 22 (02), pp. 279-294. ISSN 0218-0014.
Abstract
We present a new method for simultaneously determining three-dimensional (3D) motion and structure of a nonrigid object from its uncalibrated two-dimensional (2D) data with Gaussian or non-Gaussian distributions. A nonrigid motion can be treated as a combination of a rigid component and a nonrigid deformation. To reduce the high dimensionality of the deformable structure or shape, we estimate the probability distribution function (PDF) of the structure through random sampling, integrating an established probabilistic model. The fitting between the observations and the estimated 3D structure will be evaluated using the pooled variance estimator. The recovered structure is only available when the 2D feature points have been properly corresponded over two image frames. Applications of the proposed method to both synthetic and real image sequences are demonstrated with promising results.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | recovery, nonrigid, three dimension, observation, uncalibrated |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 12 Jul 2013 13:53 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7681 |
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