Recognize color face images using complex Eigenfaces

Jian Yang; Dapeng Zhang; Yong Xu; Jing Yu Yang

Recognize color face images using complex Eigenfaces

Jian Yang, Dapeng Zhang, Yong Xu, Jing Yu Yang

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

7 Citations (Scopus)

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	Advances in Biometrics - International Conference, ICB 2006, Proceedings
Pages	64-68
Number of pages	5
Publication status	Published - 15 Jun 2006
Event	International Conference on Biometrics, ICB 2006 - Hong Kong, Hong Kong Duration: 5 Jan 2006 → 7 Jan 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3832 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Biometrics, ICB 2006
Country/Territory	Hong Kong
City	Hong Kong
Period	5/01/06 → 7/01/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

@inproceedings{5e53f57fb3ac4feaa119a8bef91a197f,

title = "Recognize 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 = "Jian Yang and Dapeng Zhang and Yong Xu and Yang, {Jing Yu}",

year = "2006",

month = jun,

day = "15",

language = "English",

isbn = "3540311114",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "64--68",

booktitle = "Advances in Biometrics - International Conference, ICB 2006, Proceedings",

note = "International Conference on Biometrics, ICB 2006 ; Conference date: 05-01-2006 Through 07-01-2006",

}

Yang, J, Zhang, D, Xu, Y & Yang, JY 2006, Recognize color face images using complex Eigenfaces. in Advances in Biometrics - International Conference, ICB 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3832 LNCS, pp. 64-68, International Conference on Biometrics, ICB 2006, Hong Kong, Hong Kong, 5/01/06.

Recognize color face images using complex Eigenfaces. / Yang, Jian; Zhang, Dapeng; Xu, Yong et al.
Advances in Biometrics - International Conference, ICB 2006, Proceedings. 2006. p. 64-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3832 LNCS).

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

TY - GEN

T1 - Recognize color face images using complex Eigenfaces

AU - Yang, Jian

AU - Zhang, Dapeng

AU - Xu, Yong

AU - Yang, Jing Yu

PY - 2006/6/15

Y1 - 2006/6/15

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.

UR - http://www.scopus.com/inward/record.url?scp=33744948087&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 3540311114

SN - 9783540311119

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 64

EP - 68

BT - Advances in Biometrics - International Conference, ICB 2006, Proceedings

T2 - International Conference on Biometrics, ICB 2006

Y2 - 5 January 2006 through 7 January 2006

ER -

Recognize color face images using complex Eigenfaces

Abstract

Publication series

Conference

ASJC Scopus subject areas

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