A novel subspace-based facial discriminant feature extraction method

Fengxi Song; Yong Xu; Dapeng Zhang; Tianwei Liu

doi:10.1109/CCPR.2009.5343963

A novel subspace-based facial discriminant feature extraction method

Fengxi Song, Yong Xu, Dapeng Zhang, Tianwei Liu

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

1 Citation (Scopus)

Abstract

This paper presented a novel subspace-based facial discriminant feature extraction method, i.e. Orthogonalized Direct Linear Discriminant Analysis (OD-LDA), whose discriminant vectors could be obtained by performing Gram-Schmidt orthogonal procedure on a set of discriminant vectors of D-LDA. Experimental studies conducted on ORL, FERET, Yale, and AR face image databases showed that OD-LDA could compete with prevailing subspace-based facial discriminant feature extraction methods such as Fisherfaces, N-LDA D-LDA, Uncorrelated LDA, Parameterized D-LDA, K-L expansion based the between-class scatter matrix, and Orthogonal Complimentary Space Method in terms of recognition rate.

Original language	English
Title of host publication	Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
Pages	869-873
Number of pages	5
DOIs	https://doi.org/10.1109/CCPR.2009.5343963
Publication status	Published - 1 Dec 2009
Event	2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR - Nanjing, China Duration: 4 Nov 2009 → 6 Nov 2009

Conference

Conference	2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR
Country/Territory	China
City	Nanjing
Period	4/11/09 → 6/11/09

Keywords

Face recognition
Feature extraction
Linear discriminant analysis
Orthogonal procedure

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Software

More information

10.1109/CCPR.2009.5343963

Cite this

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title = "A novel subspace-based facial discriminant feature extraction method",

abstract = "This paper presented a novel subspace-based facial discriminant feature extraction method, i.e. Orthogonalized Direct Linear Discriminant Analysis (OD-LDA), whose discriminant vectors could be obtained by performing Gram-Schmidt orthogonal procedure on a set of discriminant vectors of D-LDA. Experimental studies conducted on ORL, FERET, Yale, and AR face image databases showed that OD-LDA could compete with prevailing subspace-based facial discriminant feature extraction methods such as Fisherfaces, N-LDA D-LDA, Uncorrelated LDA, Parameterized D-LDA, K-L expansion based the between-class scatter matrix, and Orthogonal Complimentary Space Method in terms of recognition rate.",

keywords = "Face recognition, Feature extraction, Linear discriminant analysis, Orthogonal procedure",

author = "Fengxi Song and Yong Xu and Dapeng Zhang and Tianwei Liu",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/CCPR.2009.5343963",

language = "English",

isbn = "9781424441990",

pages = "869--873",

booktitle = "Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR",

note = "2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR ; Conference date: 04-11-2009 Through 06-11-2009",

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Song, F, Xu, Y, Zhang, D & Liu, T 2009, A novel subspace-based facial discriminant feature extraction method. in Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR., 5343963, pp. 869-873, 2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR, Nanjing, China, 4/11/09. https://doi.org/10.1109/CCPR.2009.5343963

A novel subspace-based facial discriminant feature extraction method. / Song, Fengxi; Xu, Yong; Zhang, Dapeng et al.
Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR. 2009. p. 869-873 5343963.

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

TY - GEN

T1 - A novel subspace-based facial discriminant feature extraction method

AU - Song, Fengxi

AU - Xu, Yong

AU - Zhang, Dapeng

AU - Liu, Tianwei

PY - 2009/12/1

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N2 - This paper presented a novel subspace-based facial discriminant feature extraction method, i.e. Orthogonalized Direct Linear Discriminant Analysis (OD-LDA), whose discriminant vectors could be obtained by performing Gram-Schmidt orthogonal procedure on a set of discriminant vectors of D-LDA. Experimental studies conducted on ORL, FERET, Yale, and AR face image databases showed that OD-LDA could compete with prevailing subspace-based facial discriminant feature extraction methods such as Fisherfaces, N-LDA D-LDA, Uncorrelated LDA, Parameterized D-LDA, K-L expansion based the between-class scatter matrix, and Orthogonal Complimentary Space Method in terms of recognition rate.

AB - This paper presented a novel subspace-based facial discriminant feature extraction method, i.e. Orthogonalized Direct Linear Discriminant Analysis (OD-LDA), whose discriminant vectors could be obtained by performing Gram-Schmidt orthogonal procedure on a set of discriminant vectors of D-LDA. Experimental studies conducted on ORL, FERET, Yale, and AR face image databases showed that OD-LDA could compete with prevailing subspace-based facial discriminant feature extraction methods such as Fisherfaces, N-LDA D-LDA, Uncorrelated LDA, Parameterized D-LDA, K-L expansion based the between-class scatter matrix, and Orthogonal Complimentary Space Method in terms of recognition rate.

KW - Face recognition

KW - Feature extraction

KW - Linear discriminant analysis

KW - Orthogonal procedure

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DO - 10.1109/CCPR.2009.5343963

M3 - Conference article published in proceeding or book

SN - 9781424441990

SP - 869

EP - 873

BT - Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR

T2 - 2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR

Y2 - 4 November 2009 through 6 November 2009

ER -

A novel subspace-based facial discriminant feature extraction method

Abstract

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Keywords

ASJC Scopus subject areas

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