Analysis of Face Recognition Methods in Linear Subspace
How to extract discriminant features from face images is a key problem to face recognition. Many methods have been proposed, and among these methods linear subspace analysis method has been given more and more attention owing to its good properties, since principal component analysis (PCA) was applied successfully. In this paper, all the linear subspace methods which have been successfully applied to face recognition and some good summaries will be given.
KeywordsFace recognition Linear subspace analysis PCA
This work is supported by the National Natural Science Foundation of China (61065008), Natural Science Foundation of Yunnan Province (No.2012FD003).