Feature-based affine-Invariant localization of faces

M Hamouz; J Kittler; J K Kamarainen; P Paalanen; H Kälviäinen; J Matas

doi:10.1109/TPAMI.2005.179

Feature-based affine-Invariant localization of faces

IEEE Trans Pattern Anal Mach Intell. 2005 Sep;27(9):1490-5. doi: 10.1109/TPAMI.2005.179.

Authors

M Hamouz¹, J Kittler, J K Kamarainen, P Paalanen, H Kälviäinen, J Matas

Affiliation

¹ Center for Vision, Speech, and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, UK. m.hamouz@surrey.ac.uk

PMID: 16173191
DOI: 10.1109/TPAMI.2005.179

Abstract

We present a novel method for localizing faces in person identification scenarios. Such scenarios involve high resolution images of frontal faces. The proposed algorithm does not require color, copes well in cluttered backgrounds, and accurately localizes faces including eye centers. An extensive analysis and a performance evaluation on the XM2VTS database and on the realistic BioID and BANCA face databases is presented. We show that the algorithm has precision superior to reference methods.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence*
Computer Graphics
Face / anatomy & histology*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Information Storage and Retrieval / methods*
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated / methods*
Signal Processing, Computer-Assisted
Subtraction Technique