Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition

被引：0
|
作者：
Chan, Chi-Ho [1 ]
Kittler, Josef [1 ]
Tahir, Muhammad Atif [1 ]
机构：
[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 5XH, Surrey, England
来源：
STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION | 2010年 / 6218卷
关键词：
Local Binary Pattern; Local Phase Quantization; Kernel; Fusion; Linear Discriminant Analysis; FEATURE SETS; GABOR; REPRESENTATION;
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 multiple kernel fusion method combining two multiresolution histogram face descriptors is proposed to create a powerful representation method for face recognition. The multi resolution histogram descriptors are based on local binary patterns and local phase coding to achieve invariance to various types of image degradation. The multi-kernel fusion is based on the computationally efficient spectral regression KDA. The proposed face recognition method is evaluated on FRGC 2.0 database yielding very impressive results.
引用
收藏
页码：718 / 727
页数：10
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