Illumination invariant face recognition using photometric stereo

In this paper, we propose an elegant approach for illumination invariant fa ce recognition based on the photometric stereo technique. The basic idea is to reconstruct the surface normal and the albedo of a face using photometr ic stereo images, and then use them as the illumination independent model o f the face. And, ae have investigated the optimal light source directions f or accurate surface shape reconstruction, and the robust estimation techniq ue for the illumination direction of an input face image. We have tested th e proposed algorithm with 125 real face images of 25 persons which are take n under 5 quite different illumination conditions, and achieved the success rate of more than 80%. Comparison results of conventional face recognition methods and the proposed method are also evaluated. These results demonstr ate that the proposed technique have a great potential for the robust face recognition even when the lighting condition changes severely.