A Method of 3D Face Recognition Based on Contour Maps

Abstract

In this paper, we present a method of face recognition using 3D images. We first compensate for the poses of 3D original facial images using feature points and geometrical measurement. Then, the contour maps which are invariant under different illumination conditions are extracted for recognition. In the second step, a method is adopted for face recognition based on fuzzy clustering and parallel neural networks (NN's). Experimental results for 35 persons with different poses and illumination conditions demonstrate the efficiency of our algorithm