Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1171
Title: A study of aggregated 2D Gabor features on appearance-based face recognition
Authors: Cheung, KH
You, J 
Kong, WKA
Zhang, DD 
Keywords: Computational methods
Feature extraction
Image analysis
Image retrieval
Mathematical models
Problem solving
Issue Date: 2004
Publisher: IEEE Computer Society
Source: Proceedings of the third International Conference on Image and Graphics : Hong Kong, China, 18-20 December 2004, p. 310-313 How to cite?
Abstract: Existing approaches to holistic appearance based face recognition require a high dimensional feature space to attain fruitful performance. We have proposed a relatively low feature dimensional scheme to deal with the face recognition problem. We use the aggregated responses of 2D Gabor filters to represent face images. We have investigated the effect of "duplicate" images and the effect of facial expressions. Our results show that the proposed method is more robust than the PCA-based method under varying facial expressions, especially in recognizing "duplicate" images.
URI: http://hdl.handle.net/10397/1171
ISBN: 0-7695-2244-0
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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