Face Recognition with Improved Local Binary Patterns

被引：0

作者：

Xu, Jianqiang ^{[1
]}

Li, Xiaoping ^{[1
]}

Dong, Hongjian ^{[1
]}

Xie, Feng

机构：

[1] Beijing Inst Technol, Sch Distance Educ, Beijing, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VII | 2010年

关键词：

Local Binary Patterns; illumination invariant; face recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Face recognition is an active topic in computer vision research field. Many face recognition systems have achieved good results under controlled environments, but always suffered from variations of illumination. In this work, we present a novel preprocessing algorithm based on improved Local Binary Patterns (LBP). Extensive experiments on the Yale Face Database B show that the proposed algorithm outperforms the PCA and original LBP algorithm.

引用

页码：50 / 53

页数：4

共 8 条

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