We present a novel approach for face stereo reconstruction in passive stereo vision system. Our approach is based on the generation of a facial disparity map, requiring neither expensive devices nor generic face models. It consists of incorporating face properties in the disparity estimation to enhance the 3D face reconstruction. An algorithm based on the Active Shape Model (ASM) is proposed to acquire 3D sparse estimation of the face with a high confidence. Using sparse estimation as guidance and considering the face symmetry and smoothness, the dense disparity is completed. Experimental results demonstrate the reconstruction accuracy of the proposed method.