Fusion of support vector classifiers for parallel gabor methods applied to face verification

Ángel Serrano; Isaac Martín De Diego; Cristina Conde; Enrique Cabello; Li Bai; Linlin Shen

doi:10.1007/978-3-540-72523-7_15

Fusion of support vector classifiers for parallel gabor methods applied to face verification

Ángel Serrano, Isaac Martín De Diego, Cristina Conde, Enrique Cabello, Li Bai, Linlin Shen

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

5 Citations (Scopus)

Abstract

In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateral-projection- based Two-Dimensional Principal Component Analysis (B2DPCA) for Gabor features. We apply this new algorithm to face verification. Several experiments have been performed with the public domain FRAV2D face database (109 subjects). A total of 40 wavelets (5 frequencies and 8 orientations) have been used. Each set of wavelet-convolved images is considered in parallel for the B2DPCA and the SVM classification. A final fusion is performed combining the SVM scores for the 40 wavelets with a raw average. The proposed algorithm outperforms the standard dimension reduction techniques, such as Principal Component Analysis (PCA) and B2DPCA.

Original language	English
Title of host publication	Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings
Publisher	Springer Verlag
Pages	141-150
Number of pages	10
ISBN (Print)	9783540724810
DOIs	https://doi.org/10.1007/978-3-540-72523-7_15
Publication status	Published - 2007
Externally published	Yes
Event	7th International Workshop on Multiple Classifier Systems, MCS 2007 - Prague, Czech Republic Duration: 23 May 2007 → 25 May 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4472 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Multiple Classifier Systems, MCS 2007
Country/Territory	Czech Republic
City	Prague
Period	23/05/07 → 25/05/07

Keywords

Bilateral 2D principal component analysis
Biometrics
Face verification
Gabor wavelet
Parallel gabor principal component analysis
Principal component analysis
Support vector machine

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-72523-7_15

Cite this

Serrano, Á., De Diego, I. M., Conde, C., Cabello, E., Bai, L., & Shen, L. (2007). Fusion of support vector classifiers for parallel gabor methods applied to face verification. In Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings (pp. 141-150). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4472 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-72523-7_15

Serrano, Ángel ; De Diego, Isaac Martín ; Conde, Cristina et al. / Fusion of support vector classifiers for parallel gabor methods applied to face verification. Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings. Springer Verlag, 2007. pp. 141-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Fusion of support vector classifiers for parallel gabor methods applied to face verification",

abstract = "In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateral-projection- based Two-Dimensional Principal Component Analysis (B2DPCA) for Gabor features. We apply this new algorithm to face verification. Several experiments have been performed with the public domain FRAV2D face database (109 subjects). A total of 40 wavelets (5 frequencies and 8 orientations) have been used. Each set of wavelet-convolved images is considered in parallel for the B2DPCA and the SVM classification. A final fusion is performed combining the SVM scores for the 40 wavelets with a raw average. The proposed algorithm outperforms the standard dimension reduction techniques, such as Principal Component Analysis (PCA) and B2DPCA.",

keywords = "Bilateral 2D principal component analysis, Biometrics, Face verification, Gabor wavelet, Parallel gabor principal component analysis, Principal component analysis, Support vector machine",

author = "{\'A}ngel Serrano and {De Diego}, {Isaac Mart{\'i}n} and Cristina Conde and Enrique Cabello and Li Bai and Linlin Shen",

year = "2007",

doi = "10.1007/978-3-540-72523-7_15",

language = "English",

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

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Serrano, Á, De Diego, IM, Conde, C, Cabello, E, Bai, L & Shen, L 2007, Fusion of support vector classifiers for parallel gabor methods applied to face verification. in Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4472 LNCS, Springer Verlag, pp. 141-150, 7th International Workshop on Multiple Classifier Systems, MCS 2007, Prague, Czech Republic, 23/05/07. https://doi.org/10.1007/978-3-540-72523-7_15

Fusion of support vector classifiers for parallel gabor methods applied to face verification. / Serrano, Ángel; De Diego, Isaac Martín; Conde, Cristina et al.
Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings. Springer Verlag, 2007. p. 141-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4472 LNCS).

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

TY - GEN

T1 - Fusion of support vector classifiers for parallel gabor methods applied to face verification

AU - Serrano, Ángel

AU - De Diego, Isaac Martín

AU - Conde, Cristina

AU - Cabello, Enrique

AU - Bai, Li

AU - Shen, Linlin

PY - 2007

Y1 - 2007

N2 - In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateral-projection- based Two-Dimensional Principal Component Analysis (B2DPCA) for Gabor features. We apply this new algorithm to face verification. Several experiments have been performed with the public domain FRAV2D face database (109 subjects). A total of 40 wavelets (5 frequencies and 8 orientations) have been used. Each set of wavelet-convolved images is considered in parallel for the B2DPCA and the SVM classification. A final fusion is performed combining the SVM scores for the 40 wavelets with a raw average. The proposed algorithm outperforms the standard dimension reduction techniques, such as Principal Component Analysis (PCA) and B2DPCA.

AB - In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateral-projection- based Two-Dimensional Principal Component Analysis (B2DPCA) for Gabor features. We apply this new algorithm to face verification. Several experiments have been performed with the public domain FRAV2D face database (109 subjects). A total of 40 wavelets (5 frequencies and 8 orientations) have been used. Each set of wavelet-convolved images is considered in parallel for the B2DPCA and the SVM classification. A final fusion is performed combining the SVM scores for the 40 wavelets with a raw average. The proposed algorithm outperforms the standard dimension reduction techniques, such as Principal Component Analysis (PCA) and B2DPCA.

KW - Bilateral 2D principal component analysis

KW - Biometrics

KW - Face verification

KW - Gabor wavelet

KW - Parallel gabor principal component analysis

KW - Principal component analysis

KW - Support vector machine

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

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BT - Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings

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ER -

Serrano Á, De Diego IM, Conde C, Cabello E, Bai L, Shen L. Fusion of support vector classifiers for parallel gabor methods applied to face verification. In Multiple Classifier Systems - 7th International Workshop, MCS 2007, Proceedings. Springer Verlag. 2007. p. 141-150. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-72523-7_15

Fusion of support vector classifiers for parallel gabor methods applied to face verification

Abstract

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Keywords

ASJC Scopus subject areas

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