Feature-based affine-Invariant localization of faces.
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.
Hamouz
M
M
Center for Vision, Speech, and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford, UK. m.hamouz@surrey.ac.uk
Kittler
J
J
Kamarainen
J K
JK
Paalanen
P
P
Kälviäinen
H
H
Matas
J
J
D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique