Illumination Invariant Face Recognition Using Photometric Stereo

摘要

In this paper. we propose an elegant approach for illumination invariant face recognition based on the photometric stereo technique. The basic idea is to reconstruet the surface normal and the albedo of a face using photometric stereo images, and then use them as the illumination independent model of the face. And, we have investigated the optimal light source direc- tions for accurate surface shape reconstruction, and the robust estimation technique for the illumination direction of an input face image. We have tested the proposed algorithm with 125 real face images of 25 persons which are taken under 5 quite different illumination conditions, and achieved the success rate of more than 80/100 Comparison results of conventional face recognition methods and the proposed method are also evaluated. These results demonstrate that the proposed technique have a great, potential for the robust face recognition even when the lighting condition changes severely.