DocumentCode
2233937
Title
Multi-scale Bayesian face recognition by using anti-symmetrical biorthogonal wavelets
Author
Peng, Jinye ; BianZhang, Yu
Author_Institution
Dept. of Electr. Eng., Northwestern Polytech. Univ., Xi´´an, China
Volume
3
fYear
2001
fDate
2001
Firstpage
414
Abstract
In this work, we analyze theoretically the derivative feature of ASBW by which the gradient vector of a facial image at every resolution level can be obtained. Then an analysis of the robustness of directional gradient angles of facial images is presented. Then we propose a multi-scale Bayesian face recognition based on ASBW. The effectiveness of our method is proved by experimental results
Keywords
Bayes methods; face recognition; feature extraction; gradient methods; image resolution; wavelet transforms; ASBW; anti-symmetrical biorthogonal wavelets; directional gradient angles; facial image resolution; gradient vector; multi-scale Bayesian face recognition; Bayesian methods; Biometrics; Face recognition; Glass; Image analysis; Image resolution; Proposals; Robustness; Smoothing methods; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location
Beijing
Print_ISBN
0-7803-7010-4
Type
conf
DOI
10.1109/ICII.2001.983092
Filename
983092
Link To Document