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A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification

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4 Author(s)
Pereira, J.F. ; Center of Inf., Fed. Univ. of Pernambuco, Recife, Brazil ; Barreto, R.M. ; Cavalcanti, G.D.C. ; Tsang Ing Ren

Face verification systems reach good performance on ideal environmental conditions. Conversely, they are very sensitive to non-controlled environments. This work proposes the class-Modular Image Principal Component Analysis (cMIMPCA) algorithm for face verification. It extracts local and global information of the user faces aiming to reduce the effects caused by illumination, facial expression and head pose changes. Experimental results performed over three well-known face databases showed that cMIMPCA obtains promising results for the face verification task.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Date of Conference:

22-27 May 2011