Face Recognition Based on Supervised Neighborhood Preserving Projections
Dianting Liu · 2008
Neighborhood Preserving Projections(NPP) is a method for unsupervised linear dimensionality reduction, which can preserve the local neighborhood structure on the data manifold. However, when NPP is applied to the classification tasks, it has some limitations such as ignorance of the class labels information. This paper proposes a novel subspace method named Supervised Neighborhood Preserving Projections(SNPP) for face recognition, in which local geometric relations are preserved according to prior class-label information. It gains a perfect approximation of face manifold and enhances its discriminant power in a feature space. Experiments on ORL face database demonstrate the effectiveness of the method.