A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate-Reference-Cited by-同舟云学术

A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate

Published:2006 Issue: Volume: Page:94-106
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2006
language:
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Author:

Yan Jingyu,Pollefeys Marc

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11744085_8

Reference24 articles.

1. Fischler, M.A., Bolles, R.C.: Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Comm. of the ACM 24, 381–395 (1981)

2. Costeira, J.P., Kanade, T.: A Multibody Factorization Method for Independently Moving Objects. IJCV 29(3), 159–179 (1998)

3. Bregler, C., Hertzmann, A., Biermann, H.: Recovering Non-Rigid 3D Shape from Image Streams. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2000) (June 2000)

4. Brand, M.: Morphable 3D models from video. In: CVPR, vol. II, pp. 456–463 (2001)

5. Lecture Notes in Computer Science;J. Xiao,2004

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