Recognition color face images using complex eigenfaces

J. Yang; Dapeng Zhang; Y. Xu; J.Y. Yang

doi:10.1007/11608288_9

Recognition color face images using complex eigenfaces

J. Yang, Dapeng Zhang, Y. Xu, J.Y. Yang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

A strategy of color image based human face representation is first proposed. Then, based on this representation, complex Eigenfaces technique is developed for facial feature extraction. Finally, we test our idea using the AR face database. The experimental result demonstrates that the proposed color image based complex Eigenfaces method is more robust to illumination variations than the traditional grayscale image based Eigenfaces.

Original language	English
Title of host publication	Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)
Publisher	Springer
Pages	64-68
Number of pages	5
ISBN (Print)	9783540311119, 9783540316213
DOIs	https://doi.org/10.1007/11608288_9
Publication status	Published - 2006
Event	International Conference on Biometrics [ICB] - Duration: 1 Jan 2006 → …

Conference

Conference	International Conference on Biometrics [ICB]
Period	1/01/06 → …

ASJC Scopus subject areas

General Computer Science
Theoretical Computer Science

More information

10.1007/11608288_9

Cite this

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title = "Recognition color face images using complex eigenfaces",

abstract = "A strategy of color image based human face representation is first proposed. Then, based on this representation, complex Eigenfaces technique is developed for facial feature extraction. Finally, we test our idea using the AR face database. The experimental result demonstrates that the proposed color image based complex Eigenfaces method is more robust to illumination variations than the traditional grayscale image based Eigenfaces.",

author = "J. Yang and Dapeng Zhang and Y. Xu and J.Y. Yang",

year = "2006",

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language = "English",

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pages = "64--68",

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publisher = "Springer",

note = "International Conference on Biometrics [ICB] ; Conference date: 01-01-2006",

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Recognition color face images using complex eigenfaces. / Yang, J.; Zhang, Dapeng; Xu, Y. et al.
Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics). Springer, 2006. p. 64-68.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Xu, Y.

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N2 - A strategy of color image based human face representation is first proposed. Then, based on this representation, complex Eigenfaces technique is developed for facial feature extraction. Finally, we test our idea using the AR face database. The experimental result demonstrates that the proposed color image based complex Eigenfaces method is more robust to illumination variations than the traditional grayscale image based Eigenfaces.

AB - A strategy of color image based human face representation is first proposed. Then, based on this representation, complex Eigenfaces technique is developed for facial feature extraction. Finally, we test our idea using the AR face database. The experimental result demonstrates that the proposed color image based complex Eigenfaces method is more robust to illumination variations than the traditional grayscale image based Eigenfaces.

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DO - 10.1007/11608288_9

M3 - Conference article published in proceeding or book

SN - 9783540311119

SN - 9783540316213

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BT - Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)

PB - Springer

T2 - International Conference on Biometrics [ICB]

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ER -

Recognition color face images using complex eigenfaces

Abstract

Conference

ASJC Scopus subject areas

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