Facial Feature Location and Pose Estimation for Color Face Image based on an Unsupervised Sphere Model and Fused Features

For pose-varied color face image, this paper proposed a method of facial feature location and pose estimation based on an unsupervised sphere skin model and fused facial features. Firstly, an adaptive preprocessing, an established unsupervised sphere model and the holes filling technology were presented to extract the face. Then the difference feature and different local binary pattern textural feature of human face were fused to used in the hybrid integral projection technology for localizing the facial features. Finally, poses were estimated using the geometrical distribution of facial features. Experimental results show that, the method can locate facial features and classify different pose more effectively and adaptively.