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Feature-based affine-invariant localization of faces

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6 Author(s)
Hamouz, M. ; Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK ; Kittler, J. ; Kamarainen, J.-K. ; Paalanen, P.
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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.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:27 ,  Issue: 9 )