A face recognition system dealing with expression variant faces
In this paper we present the generalization of the automatic face recognition system, presented in (Arca et al., Pattern Recognition, vol. 39, issue 3, 2006), making it able to deal with different expressions and the presence of spectacles. The system behavior is measured on the FRGC public database, addressing some of the current challenges highlighted by Phillips and others (Phillips et al., "Overview of the face recognition grand challenge", CVPR 2005). We set up experiments having in the gallery, for each subject, both one still image and multi-still images with different expressions. Besides, we investigate how the image resolution affects the performances and test the scalability of the system doubling the gallery size.