Vector fields modelization using basis of polynomials: Application to the analysis of simple face movements

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2006, Pages

  Druon, M ^a   Tremblais, B ^a   Augereau, B ^a  

^a UNIVERSITÉ DE POITIERS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CAMERAS; FUNCTIONS; MATHEMATICAL MODELS; POLYNOMIALS; VECTORS;

APPROXIMATE VECTORS; DISPLACEMENT VECTOR FIELDS; ORTHONORMAL MULTIVARIATE POLYNOMIALS; WEBCAMERA;

GESTURE RECOGNITION;

EID: 33947642059     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. B.K.P. Horn and B.G. Schunck, "Determining optical flow," Artificial IntelligenceI, vol. 17, no. 1-3, pp. 185-203, August 1981.
2. B.D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," in DARPA81, 1981, pp. 121-130.
3. H. Scharr and H. Spies, "Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion," vol. 20, no. 6, pp. 537-553, July 2005.
4. F. Lauze, P. Kornprobst, and E. Mmin, "A coarse to fine multiscale approach for linear least squares optical flow estimation," British Machine Vision Conference, vol. 2, pp. 767-776, 2004.
5. J.L. Barron, D.J. Fleet, and S.S. Beauchemin, "Performance of Optical Flow Techniques," International Journal of Computer Vision, vol. 12, no. 1, pp. 43-77, 1994.
6. C. Cedras and M. Shah, "Motion-based recognition: A survey," IVC, vol. 13, no. 2, pp. 129-155, March 1995.
7. Charles F. Dunkl and Yuan Xu, Orthogonal polynomials of several variables, Cambridge University Press, 2001.
8. B. Augereau, B. Tremblais, and F. Fernandez-Maloigne, "Vectorial computation of the optical flow in color image sequences," in 13th Color Imaging Conference, november 2005, (to appear).