3D face pose estimation based on affine transformation and linear regression
基于仿射变换和线性回归的3D人脸姿态估计方法

A method for estimating 3D space face pose was proposed based on affine transformation and linear regression. Namely, after tracking face feature points, a roughly estimated value was obtained based on affine transformation relationship, and then this rough value was taken as the starting value, precise value of face pose was obtained based on linear regression iteration. Finally, the experimental results show that the method achieves better estimation accuracy and robustness in a wide range of face poses.