Feature-based affine-invariant localization of faces

Author

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

Author_Institution

Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK

Volume

27

Issue

9

fYear

2005

Firstpage

1490

Lastpage

1495

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.

Keywords

face recognition; feature extraction; image resolution; visual databases; BANCA face databases; XM2VTS database; eye centers; face authentication; face localization; feature-based affine-invariant localization; frontal faces; high resolution images; person identification scenarios; realistic BioID; Authentication; Computer Society; Detectors; Face detection; Facial features; Image databases; Image resolution; Performance analysis; Shape; Testing; Index Terms- Face localization; face authentication.; Algorithms; Artificial Intelligence; Computer Graphics; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Subtraction Technique;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2005.179

Filename

1471713