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.