DocumentCode :
454882
Title :
Vector Fields Modelization Using Basis of Polynomials: Application to the Analysis of Simple Face Movements
Author :
Druon, M. ; Tremblais, B. ; Augereau, B.
Author_Institution :
Lab. SIC, Poitiers Univ.
Volume :
2
fYear :
2006
fDate :
14-19 May 2006
Abstract :
In this communication we present an original and general model for the approximation of vector fields and especially displacement vector fields. The proposed method uses the orthonormal multivariate polynomials framework to approximate vector fields as combinations of these particular functions. Then we demonstrate the noise robustness of our model. And finally we show that the model can efficiently be used for the recognition of simple face movement in a Webcam acquired sequence
Keywords :
face recognition; polynomials; face movement; orthonormal multivariate polynomials; vector fields modelization; Face recognition; Humans; Noise reduction; Noise robustness; Polynomials; Silicon carbide; Testing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660429
Filename :
1660429
Link To Document :
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