Face Recognition Based on an Alternative Formulation of Orthogonal LPP
Ruidong Li, Lei Zhu, Shaofang Zou, Lei Zhu · 2007
In this paper, an alternative formulation of orthogonal locality preserving projections (OLPP) is proposed. Schur-OLPP introduces Schur decomposition in locality preserving projections (LPP) to get the orthogonal vectors and extracts discriminant features. The proposed method was tested and evaluated using the Yale and AR face databases. Recognition rates were compared with Eigenface, Fisherface and Laplacianface. Experimental results indicated the promising performance of the proposed method.