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Pattern Analysis and Applications

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01.09.2009 | Theoretical Advances

Are Gabor phases really useless for face recognition?

verfasst von: Wenchao Zhang, Shiguang Shan, Laiyun Qing, Xilin Chen, Wen Gao

Erschienen in: Pattern Analysis and Applications | Ausgabe 3/2009

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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.

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Titel: Are Gabor phases really useless for face recognition?
verfasst von: Wenchao Zhang
Shiguang Shan
Laiyun Qing
Xilin Chen
Wen Gao
Publikationsdatum: 01.09.2009
Verlag: Springer-Verlag
Erschienen in: Pattern Analysis and Applications / Ausgabe 3/2009
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI: https://doi.org/10.1007/s10044-008-0123-0

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