This paper proposes an efficient metho d for 3D face reconstruction.Speckle patterns are projected onto a face to enhan ce its discriminative feature information,and a coarse- to-fine stereo matching scheme is investigated to improve the accuracy of recon struction.Furthermore,spatio-temporal integral image is employed to accelerate the computation of cost function during stereo matching,which subsequently improves the efficiency of reconstruction.In addition,the proposed method remove s unrelated background regions by using face detection,so that the following 3D reconstruction process is able to focus only face area for the purpose of efficiency.Experimental results show that the proposed method achieves the aver age error of 0.32mm on reconstructing a face model that is obtained by 3D printer (printing precision 0.01mm).When meas uring two standard spheres (precision 0.01mm),measurement errors on the distance of sphere centers and the sphere dia meters are lower than 1%.Such results are better than those of some existing 3D camera products.Compared with existing stereo matching approaches, disparity maps generated by our method show almost no cavity and vary more smoot hly,which show more consistency with the real shape of human face.