Abstract: In this paper,a novel method to pose variant face recognition that combines two recent advances of component-based face recognition and 3D morphable model is presented.In this method,3D components are extracted as the feature of face recognition.Because of the Shape information,it reduces the effect of pose to face recognition.For classification,we combine the local feature and global feature of face and the whole face are used as input to the final classifier,where each component is verified its weight based on its recognition rate in final classifier.Experiment results show that the methods is robust to pose invariant face recognition with only one image of each person in the gallery.