Supervised locality preserving projection and tensor decomposition for multi-view face recognition
Shitong Wang · Jisuanji yingyong yanjiu · 2011
To solve the incapability of multi-linear analysis algorithm with multi-view face images,this paper proposed an improved algorithm.It introduced a supervised locality preserving projection that accurately described the nonlinearity in pose embedding space to project the face images into a low dimensional subspace.In the SLPP algorithm,the neighboring points as supervised information could find the global structure as well as local structure.Combining with tensor decomposition and kernel methods,it well learned a set of nonlinear mapping functions from the embedding space into the input space.The proposed method was evaluated on oriental face database of multi-view face images in comparison to the other subspace methods.Experimental results show the effectiveness of the new method.