A novel null space-based kernel discriminant analysis for face recognition

Tuo Zhao; Zhizheng Liang; Dapeng Zhang; Yahui Liu

A novel null space-based kernel discriminant analysis for face recognition

Tuo Zhao, Zhizheng Liang, Dapeng Zhang, Yahui Liu

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

2 Citations (Scopus)

Abstract

The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetrical objects. In this paper, a novel null space kernel discriminant method based on the symmetrical method with a weighted fusion strategy is proposed for face recognition. It can effectively enhance the recognition performance and shares the advantages of Null-space, kernel and symmetrical methods. The experiment results on ORL database and FERET database demonstrate that the proposed method is effective and outperforms some existing subspace methods.

Original language	English
Title of host publication	Advances in Biometrics - International Conference, ICB 2007, Proceedings
Pages	547-556
Number of pages	10
Publication status	Published - 1 Dec 2007
Event	2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of Duration: 27 Aug 2007 → 29 Aug 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4642 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2007 International Conference on Advances in Biometrics, ICB 2007
Country/Territory	Korea, Republic of
City	Seoul
Period	27/08/07 → 29/08/07

Keywords

Face recognition
Symmetrical decomposition
Symmetrical null-space based kernel LDA
Weighted fusion strategy

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

@inproceedings{a737a3bd1517481e9a9e3eac4ffd6f39,

title = "A novel null space-based kernel discriminant analysis for face recognition",

abstract = "The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetrical objects. In this paper, a novel null space kernel discriminant method based on the symmetrical method with a weighted fusion strategy is proposed for face recognition. It can effectively enhance the recognition performance and shares the advantages of Null-space, kernel and symmetrical methods. The experiment results on ORL database and FERET database demonstrate that the proposed method is effective and outperforms some existing subspace methods.",

keywords = "Face recognition, Symmetrical decomposition, Symmetrical null-space based kernel LDA, Weighted fusion strategy",

author = "Tuo Zhao and Zhizheng Liang and Dapeng Zhang and Yahui Liu",

year = "2007",

month = dec,

day = "1",

language = "English",

isbn = "9783540745488",

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

pages = "547--556",

booktitle = "Advances in Biometrics - International Conference, ICB 2007, Proceedings",

note = "2007 International Conference on Advances in Biometrics, ICB 2007 ; Conference date: 27-08-2007 Through 29-08-2007",

}

Zhao, T, Liang, Z, Zhang, D & Liu, Y 2007, A novel null space-based kernel discriminant analysis for face recognition. in Advances in Biometrics - International Conference, ICB 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4642 LNCS, pp. 547-556, 2007 International Conference on Advances in Biometrics, ICB 2007, Seoul, Korea, Republic of, 27/08/07.

A novel null space-based kernel discriminant analysis for face recognition. / Zhao, Tuo; Liang, Zhizheng; Zhang, Dapeng et al.
Advances in Biometrics - International Conference, ICB 2007, Proceedings. 2007. p. 547-556 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS).

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

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AU - Liu, Yahui

PY - 2007/12/1

Y1 - 2007/12/1

N2 - The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetrical objects. In this paper, a novel null space kernel discriminant method based on the symmetrical method with a weighted fusion strategy is proposed for face recognition. It can effectively enhance the recognition performance and shares the advantages of Null-space, kernel and symmetrical methods. The experiment results on ORL database and FERET database demonstrate that the proposed method is effective and outperforms some existing subspace methods.

AB - The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetrical objects. In this paper, a novel null space kernel discriminant method based on the symmetrical method with a weighted fusion strategy is proposed for face recognition. It can effectively enhance the recognition performance and shares the advantages of Null-space, kernel and symmetrical methods. The experiment results on ORL database and FERET database demonstrate that the proposed method is effective and outperforms some existing subspace methods.

KW - Face recognition

KW - Symmetrical decomposition

KW - Symmetrical null-space based kernel LDA

KW - Weighted fusion strategy

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M3 - Conference article published in proceeding or book

SN - 9783540745488

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

SP - 547

EP - 556

BT - Advances in Biometrics - International Conference, ICB 2007, Proceedings

T2 - 2007 International Conference on Advances in Biometrics, ICB 2007

Y2 - 27 August 2007 through 29 August 2007

ER -

A novel null space-based kernel discriminant analysis for face recognition

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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