Face pose estimation based on 3D face reconstruction
Xun Gong · Journal of Chongqing University of Posts and Telecommunications · 2010
Face pose estimation is a key research topic in the fields of computer vision and face recognition.Applying the 3D face model to estimate the pose of a 2D image,an approach based on 3D face reconstruction was proposed.Firstly,the shape parameter was calculated based on the feature points of a frontal face image,thus realizing the 3D face reconstruction.Then,based on face model,the information of feature points in the 3D model was deduced by the corresponding points in the input image.And by contrast with the 3D model of frontal pose,the liner regression was used to estimate the face pose.Experiments show that the reconstructed 3D model is realistic,and the estimation method achieves better accuracy and robustness in a wide range of head motion.