Are Gabor phases really useless for face recognition?

Authors:
Wenchao Zhang;Shiguang Shan;Laiyun Qing;Xilin Chen;Wen Gao
Affiliations:
Harbin Institute of Technology, School of Computer Science and Technology, 150006, Harbin, PRC and Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, PRC;Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, 100190, Beijing, PRC and Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, PRC;Graduate School of Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China;Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, 100190, Beijing, PRC and Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, PRC;Harbin Institute of Technology, School of Computer Science and Technology, 150006, Harbin, PRC and Key Lab. of Intell. Info. Proc., Ch. Acad. of Sci., Beijing and Institute of Computing Technology ...
Venue:
Pattern Analysis & Applications
Year:
2009

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Abstract

Gabor features have been recognized as one of the best representations for face recognition. Usually, only the magnitudes of the Gabor coefficients are thought of as being useful for face recognition, while the phases of the Gabor features are deemed to be useless and thus usually ignored by face recognition researchers. However, in this paper, our findings show that the latter should be reconsidered. By encoding Gabor phases through local binary patterns and local histograms, we have achieved very impressive recognition results, which are comparable to those of Gabor magnitudes-based methods. The results of our experiments also indicate that, by combining the phases with the magnitudes, higher accuracy can be achieved. Such observations suggest that more attention should be paid to the Gabor phases for face recognition.