Face Recognition in Different Subspaces: A Comparative Study

Borut Batagelj, Franc Solina

2006

Abstract

Face recognition is one of the most successful applications of image analysis and understanding and has gained much attention in recent years. Among many approaches to the problem of face recognition, appearance-based subspace analysis still gives the most promising results. In this paper we study the three most popular appearance-based face recognition projection methods (PCA, LDA and ICA). All methods are tested in equal working conditions regarding pre-processing and algorithm implementation on the FERET data set with its standard tests. We also compare the ICA method with its whitening preprocess and find out that there is no significant difference between them. When we compare different projection with different metrics we found out that the LDA+COS combination is the most promising for all tasks. The L1 metric gives the best results in combination with PCA and ICA1, and COS is superior to any other metric when used with LDA and ICA2. Our results are compared to other studies and some discrepancies are pointed out.

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Paper Citation


in Harvard Style

Batagelj B. and Solina F. (2006). Face Recognition in Different Subspaces: A Comparative Study . In 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006) ISBN 978-972-8865-55-9, pages 71-80. DOI: 10.5220/0002500200710080


in Bibtex Style

@conference{pris06,
author={Borut Batagelj and Franc Solina},
title={Face Recognition in Different Subspaces: A Comparative Study},
booktitle={6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)},
year={2006},
pages={71-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002500200710080},
isbn={978-972-8865-55-9},
}


in EndNote Style

TY - CONF
JO - 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)
TI - Face Recognition in Different Subspaces: A Comparative Study
SN - 978-972-8865-55-9
AU - Batagelj B.
AU - Solina F.
PY - 2006
SP - 71
EP - 80
DO - 10.5220/0002500200710080