A novel approach for face recognition based on stereo image processing algorithm

Recently, the importance of face recognition has been increasingly emphasized since CCD cameras are distributed to various applications. This paper proposes a robust method for face recognition from two image sequences taken by stereo cameras, so the facial appearance changes by lighting variations or other causes won’t lead to serious performance degradation. The feature correspondences between images are extracted and refined automatically by the relation of the stereo cameras. Given a point on left image, the correspondent point on right image is the intersection of maximum correlation coefficient and epipolar line. Identical database of the person is synthesized form photometric stereo images of training data. Some experimental results are presented to demonstrate the proposed technology. The results show that high-resolution 3D data of free surface has been acquired and higher recognition rates are gotten.