A recognition method using uncorrelated discriminant locality preserving projections

被引：0

作者：

Lin Y.-E. ^{[1
]}

Gu G.-C. ^{[1
]}

Liu H.-B. ^{[1
]}

Shen J. ^{[1
]}

机构：

[1] College of Computer Science and Technology, Harbin Engineering University

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2010年 / 31卷 / 01期

关键词：

Between-class scatter matrix; Feature extraction; Uncorrelated discriminant locality preserving analysis; Within-class scatter matrix;

D O I：

10.3969/j.issn.1006-7043.2010.01.017

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A new face recognition feature extraction and recognition method based on uncorrelated discriminant locality preserving projections was proposed. Based on the characteristics of locality preserving projections and the space information among the samples belonging to the same class, new definitions of a within-class scatter matrix and of a between-class scatter matrix were given and then a new objective function with uncorrelated constraints was defined. Based on the new objective function, the formula to compute the uncorrelated discriminant locality preserving vectors was given by theoretical analysis. Experimental results on a face database showed the proposed method outperforms discriminant locality preserving analysis and other existing improved methods based on discriminant locality preserving projections.

引用

页码：98 / 101+114

共 9 条

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