Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11104
Title: A new approach to appearance-based face recognition
Authors: Cheung, KH
Kong, A
You, J 
Li, Q
Zhang, D 
Bhattacharya, P
Issue Date: 2005
Source: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2005, v. 2, p. 1686-1691
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: Biometrics
Gabor filter feature
Holistic face recognition
Low feature dimensional
ISSN: 1062-922X
Description: IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics, Waikoloa, HI, 10-12 October 2005
Appears in Collections:Conference Paper

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