Face recognition based on an alternative formulation of orthogonal LPP

被引：0
|
作者：
Li, Ruidong [1 ]
Zhu, Lei [2 ]
Zou, Shadang [3 ]
Zhu, Lei [2 ]
机构：
[1] Jinhua Coll Profess & Technol, Informat & Engn Campus, Jinhua, Peoples R China
[2] Zhejiang Univ, Coll Electr Engn, Hangzhou, Peoples R China
[3] Hangzhou Dianzi Univ, Inst Biomed Engn & Ins, Hangzhou, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7 | 2007年
关键词：
orthogonal LPP; schur decomposition; discriminant information extraction; face recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：484 / +
页数：2
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