A novel subspace-based facial discriminant feature extraction method

Fengxi Song; Yong Xu; David Zhang; Tianwei Liu

doi:10.1109/CCPR.2009.5343963

A novel subspace-based facial discriminant feature extraction method

Fengxi Song^*
, Yong Xu
, David Zhang
, Tianwei Liu

^*Corresponding author for this work

Hefei New Star Applied Technology Institute
Harbin Institute of Technology Shenzhen
Hong Kong Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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
State	Published - 2009
Externally published	Yes
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

Publication series

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

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

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10.1109/CCPR.2009.5343963

Cite this

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 (pp. 869-873). Article 5343963 (Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR). https://doi.org/10.1109/CCPR.2009.5343963

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

@inproceedings{c8a6ac6c51dc495b9e00566b6831688b,

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 David Zhang and Tianwei Liu",

year = "2009",

doi = "10.1109/CCPR.2009.5343963",

language = "英语",

isbn = "9781424441990",

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

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",

}

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, Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR, 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, David 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 (Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

AU - Song, Fengxi

AU - Xu, Yong

AU - Zhang, David

AU - Liu, Tianwei

PY - 2009

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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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SN - 9781424441990

T3 - Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR

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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 -

Song F, Xu Y, Zhang D, Liu T. 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. 2009. p. 869-873. 5343963. (Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR). doi: 10.1109/CCPR.2009.5343963

A novel subspace-based facial discriminant feature extraction method

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