A 3D facial recognition system using structured light projection

Abstract

In this paper, a facial recognition system is described, which carry out the classification process by analyzing 3D information of the face. The process begins with the acquisition of the 3D face using light structured projection and the phase shifting technique. The faces are aligned respect a face profile and the region of front, eyes and nose is segmented. The descriptors are obtained using the eigenfaces approach and the classification is performed by linear discriminant analysis. The main contributions of this work are: a) the application of techniques of structured light projection for the calculation of the cloud of points related to the face, b) the use of the phase of the signal to perform recognition with 97% reliability, c) the use of the profile of the face in the alignment process and d) the robustness in the recognition process in the presence of gestures and facial expressions. © 2014 Springer International Publishing.