A face recognition system that utilizes three-dimensional shape information is more robust to arbitrary view, lighting, and facial appearance. The main problem in 3D face recognition is how to detect the feature points correctly and efficiently. In this paper, we present a novel method to detect feature points for 3D face recognition. The experiment result shows that the proposed method performs better in both accuracy and efficiency than other methods.