DocumentCode
2008958
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
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
2374
Lastpage
2376
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCA.2007.4376786
Filename
4376786
Link To Document