Large Scale Face Recognition with Kernel Correlation Feature Analysis with Support Vector Machines

Jingu Heo; Marios Savvides; B. V. K. Vijayakumar

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Paper

Large Scale Face Recognition with Kernel Correlation Feature Analysis with Support Vector Machines

In 6th International Workshop on Pattern Recognition in Information Systems - Volume 0ICEIS, 15-24, 2006 , Paphos, Cyprus

Authors: Jingu Heo ; Marios Savvides and B. V. K. Vijayakumar

Affiliation: Carnegie Mellon University, United States

Abstract: Recently, Direct Linear Discriminant Analysis (LDA) and Gram-Schmidt LDA methods have been proposed for face recognition. By utilizing the smallest eigenvalues in the within-class scatter matrix they exhibit better performance compared to Eigenfaces and Fisherfaces. However, these linear subspace methods may not discriminate faces well due to large nonlinear distortions in the face images. Redundant class dependence feature analysis (CFA) method exhibits superior performance compared to other methods by representing nonlinear features well. We show that with a proper choice of nonlinear features in the CFA, the performance is significantly improved. Evaluation is performed with PCA, KPCA, KDA, and KCFA using different distance measures on a large scale database from the Face Recognition Grand Challenge (FRGC). By incorporating the SVM for a new distance measure, the performance gain is significant regardless of which algorithm is used for feature extraction, with our proposed KCFA+SV M performing the best at 85% at 0.1% FAR where the baseline PCA gives only 12% at 0.1% FAR. (More)

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Paper citation in several formats:

Heo, J.; Savvides, M. and V. K. Vijayakumar, B. (2006). Large Scale Face Recognition with Kernel Correlation Feature Analysis with Support Vector Machines. In 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS; ISBN 978-972-8865-55-9, SciTePress, pages 15-24. DOI: 10.5220/0002487300150024

@conference{pris06,
author={Jingu Heo. and Marios Savvides. and B. {V. K. Vijayakumar}.},
title={Large Scale Face Recognition with Kernel Correlation Feature Analysis with Support Vector Machines},
booktitle={6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS},
year={2006},
pages={15-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002487300150024},
isbn={978-972-8865-55-9},
}

TY - CONF

JO - 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS
TI - Large Scale Face Recognition with Kernel Correlation Feature Analysis with Support Vector Machines
SN - 978-972-8865-55-9
AU - Heo, J.
AU - Savvides, M.
AU - V. K. Vijayakumar, B.
PY - 2006
SP - 15
EP - 24
DO - 10.5220/0002487300150024
PB - SciTePress