A direct locality preserving projections (DLPP) algorithm for image recognition

被引：27
作者：
Feng, Guiyu [1 ]
Hu, Dewen [1 ]
Zhou, Zongtan [1 ]
机构：
[1] Natl Univ Def Technol, Coll Mechatron & Automat, Dept Automat Control, Changsha 410073, Hunan, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2008年 / 27卷 / 03期
基金：
中国国家自然科学基金;
关键词：
principal component analysis (PCA); linear discriminant analysis (LDA); locality preserving projections (LPP); direct locality preserving projections (DLPP); image recognition;
D O I：
10.1007/s11063-008-9073-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a novel locality preserving projections (LPP) algorithm for image recognition, namely, the direct locality preserving projections (DLPP), which directly optimizes locality preserving criterion on high-dimensional raw images data via simultaneous diagonalization, without any dimensionality reduction preprocessing. Our algorithm is a direct and complete implementation of LPP. Experimental results on the PolyU palmprint database and ORL face database show the effectiveness of the proposed algorithm.
引用
收藏
页码：247 / 255
页数：9
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