提出了一种人脸姿态估计的新方法。根据三维扫描预先生成一个通用的模型，基于三维形态模型采用粒子群优化算法对人脸姿态进行初步估计，由特征点检测确定姿态大致范围，再在初步估计的结果上进行修正迭代，从而对人脸姿态进行精确估计。实验表明，该方法在简化数学运算的基础上，具有较好的估计效果，平衡了计算复杂度与结果精确度。

The face pose estimation based on Particle Swarm Optimization(PSO) is proposed. Firstly, a common model is generated by 3-D scanning. Then, PSO algorithm is used to estimate the face pose preliminarily based on the 3-D morphable model to acquire the pose range approximately with a detection of feature points. Finally, the rectification and iteration are applied with the preliminary result to estimate the face pose correctly. Experimental results show that the proposed method can obtain satisfying result by simplifying the math arithmetic, which keeps a balance between the complexity and the precision, and has an good effect on further studying of face identification.