In order to overcome the disadvantages of two- dimension face recognition,a three- dimension methodusing a Kinect instrument is proposed based on the information fusion.In this method,for the face detection,theeyes' location is used to locate the face,and the skin color model as well as the depth information is employed torealize the face filtering.For the face recognition,the DTW (Dynamic Time Warping) algorithm is applied to therapid extraction of the face contour,and an improved LBP (Local Binary Pattern) matching algorithm is proposed,in which the weight value distribution is determined by analyzing the color image information and the face physiolo-gical characteristics.Experimental results show that the proposed method for face recognition is applicable and is ofimproved real- time capability and robustness.