DocumentCode :
1007263
Title :
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
Link To Document :
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