Face recognition is widely studied in the literature for its possibilities in surveillance and security. In this
paper, we report a novel algorithm for the identification task. This technique is based on an optimized 3D
modeling allowing to reconstruct faces in different poses from a limited number of references (i.e. one
image by class/person).