A Novel Face Recognition Approach under Illumination Variations Based on Local Binary Pattern

被引：0
|
作者：
Lian, Zhichao [1 ]
Er, Meng Joo [1 ]
Li, Juekun [1 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2 | 2011年 / 6855卷
关键词：
Face Recognition; Illumination Variation; Local Binary Pattern; NORMALIZATION;
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：
Local Binary Pattern (LBP) is one of the most important facial texture features in face recognition. In this paper, a novel approach based on the LBP is proposed for face recognition under different illumination conditions. The proposed approach applies Difference of Gaussian (DoG) filter in the logarithm domain of face images. LBPs are extracted from the filtered images and used for recognition. A novel measurement is also proposed to calculate distances between different LBPs. The experimental results on the Yale B and Extended Yale B prove superior performances of the proposed method and measurement compared to other existing methods and measurements.
引用
收藏
页码：89 / 96
页数：8
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