Non-rigid structure from motion using non-parametric tracking and non-linear optimization

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2004-January, Issue January, 2004, Pages

  Bue, Alessio Del ^a   Smeraldi, Fabrizio ^a   Agapito, Lourdes ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FACTORIZATION; IMAGE ENHANCEMENT; MATRIX ALGEBRA; NONLINEAR PROGRAMMING; RIGID STRUCTURES;

3D MOTION; 3D STRUCTURE; FACTORIZATION ALGORITHMS; MOTION MATRIX; NON-LINEAR OPTIMIZATION; NON-RIGID; NON-RIGID OBJECTS; NONPARAMETRICS; STRUCTURE AND MOTIONS; STRUCTURE FROM MOTION;

DEFORMATION;

EID: 84932640035     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.406     Document Type: Conference Paper

References (12)

1. H. Aanaes and F. Kahl. Estimation of deformable structure and motion. InWorkshop on Vision andModelling of Dynamic Scenes, ECCV'02, Copenhagen, Denmark, 2002.
2. M. Brand. Morphable models from vi deo. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001.
3. C. Bregler, A. Hertzmann, and H. Biermann. Recovering non-rigid 3d shape from image streams. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, South Carolina, pages 690-696, June 2000.
4. A. Del Bue,L. Agapito. Non-rigid 3d shape recovery using stereo factorization. Asian Conference of Computer Vision 1: 25-30, January 2004.
5. B.K.P. Horn. Closed form solutions of absolute orientation using unit quaternions. J. Optical Soc. of America A., 4(4):629-642, 1987.
6. B. S. Manjunath, C. Shekhar, and R. Chellappa. A new approach to image feature detection with applications. Pattern Recognition, 31:627-640, 1996.
7. I. Matthews, T. Ishikawa, and S. Baker. The template update problem. In R. Harvey and J. A. Bangham, editors, Proceedings of the British Machine Vision Conference, Norwich, UK, volume II, pages 649-658, 2003.
8. R. P. N. Rao and D. H. Ballard. An active vision architeture based on iconic representations. Artificial Intelligence Journal, 78:461-505, 1995.
9. F. Smeraldi. Ranklets: orientati on selective nonparametric features applied to face detection. In Proc. of the 16th ICPR, volume 3, pages 379-382, Quebec QC, August 2002.
10. C. Tomasi and T. Kanade. Shape and motion from image s treams: a factorization method. International Journal in Computer Vision, 9(2):137-154, 1991.
11. L. Torresani, D. Yang, E. Alexander, and C. Bregler. Tracking and modeling non-rigid objects with rank constraints. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, 2001.
12. Bill Triggs, Philip McLauchlan, Richard Hartley, and Andrew Fitzgibbon. Bundle adjustment-A modern synthesis. InW. Triggs, A. Zisserman, and R. Szeliski, editors, Vision Algorithms: Theory and Practice, LNCS, pages 298-375. Springer Verlag, 2000.