Title :
Face Recognition Based on an Alternative Formulation of Orthogonal LPP
Author :
Ruidong Li ; Lei Zhu ; Shaofang Zou
Author_Institution :
Jinhua Coll. of Profession & Technol., Jinhua
fDate :
May 30 2007-June 1 2007
Abstract :
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.
Keywords :
face recognition; feature extraction; Schur decomposition; Schur-orthogonal locality preserving projection; discriminant feature extraction; face recognition; Automatic control; Automation; Biomedical engineering; Data mining; Educational institutions; Face recognition; Iterative algorithms; Laplace equations; Nearest neighbor searches; Testing; discriminant information extraction; face recognition; orthogonal LPP; schur decomposition;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376786
