This paper proposes an edge statistical-based face pose estimation method, which uses the overall information to extract the features firstly. And then the linear regression algorithm is applied to build the corresponding relationship between features and poses. Feature location-based face pose estimation is another method proposed in this paper. It is a local information-based method, which utilizes mathematical morphology operators to pinpoint the nostril. Then according to the location of the nose and eyes, face poses are estimated. The aforementioned methods are compared in the same dataset. Experimental results show that the method can accurately and fast estimate face pose.