Multi-scale local binary pattern histograms for face recognition

被引：0
|
作者：
Chan, Chi-Ho [1 ]
Kittler, Josef [1 ]
Messer, Kieron [1 ]
机构：
[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 5XH, Surrey, England
来源：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2007年 / 4642卷
关键词：
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：
A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA) of multi-scale local binary pattern histograms is proposed for face recognition. The face image is first partitioned into several non-overlapping regions. In each region, multi-scale local binary uniform pattern histograms are extracted and concatenated into a regional feature. The features are then projected on the LIDA space to be used as a discriminative facial descriptor. The method is implemented and tested in face identification on the standard Feret database and in face verification on the XM2VTS database with very promising results.
引用
收藏
页码：809 / +
页数：2
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