Abstract: For head pose estimation plays an important role in human machine interface, the authors propose an approach to estimate 3D head pose from a monocular sequence. A block matching criterion is designed and the effect of block matching for feature tracking is improved. An algorithm based on facial geometry information and projective model is presented to estimate the head pose. The experimental results show that our method is effective for head pose estimation.