Two decades of research shows that Principle Component Analysis is effective and convenient for representation and recognition of human face images. It is a kind of subspace method. Many successful face recognition algorithms follow the subspace method and try to find better subspaces for face recognition. In this paper, we present the projection incorporated subspace method based on PCA. This ...

In this paper, several new applications for subspace methods are introduced, including: (1) a subspace method used for overcoming generalization/overrtting problem for applications such as face recognition, (2) multiple subspaces constructed from the original sub-space to accommodate the inputs distorted by scaling, rotating, translating etc, and (3) a subspace framework based on which the orig...