Title :
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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571391