A new approach to appearance-based face recognition

Author

Cheung, K.H. ; Kong, A. ; You, J. ; Li, Q. ; Zhang, D. ; Bhattacharya, Prabir

Author_Institution

Dept. of Comput., Hong Kong Polytech. Univ., China

Volume

2

fYear

2005

fDate

10-12 Oct. 2005

Firstpage

1686

Abstract

Current holistic appearance based face recognition methods require a high dimensional feature space to attain fruitful performance. In this paper, we have proposed a relatively low feature dimensional, template-matching scheme to cope with the transformed appearance-based face recognition problem. We use aggregated Gabor filter responses to represent face images. We investigated the effect of "duplicate" images (images from different sessions) and the effect of facial expressions. Our results indicate that the proposed method is more robust in recognizing "duplicate" images with variations in facial expression than the principal component analysis method.

Keywords

Gabor filters; face recognition; feature extraction; image matching; Gabor filter; appearance-based face recognition; facial expression; feature space; principal component analysis; template-matching scheme; Biometrics; Character recognition; Face detection; Face recognition; Feature extraction; Gabor filters; Image recognition; Image texture analysis; Principal component analysis; Video sequences; Biometrics; Gabor filter feature; holistic face recognition; low feature dimensional;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2005 IEEE International Conference on

Print_ISBN

0-7803-9298-1

Type

conf

DOI

10.1109/ICSMC.2005.1571391

Filename

1571391