SPARSE REPRESENTATION OF (MULTISCALE) HISTOGRAMS FOR FACE RECOGNITION ROBUST TO REGISTRATION AND ILLUMINATION PROBLEMS

被引：20

作者：

Chan, Chi Ho ^{[1
]}

Kittler, Josef ^{[1
]}

机构：

[1] Univ Surrey, Ctr Vis Speech & Signal Proc, Guildford GU2 7XH, Surrey, England

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Face Recognition; Local Binary Pattern; Local Phase Quantisation; Sparse representation;

D O I：

10.1109/ICIP.2010.5651933

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We combine sparse representation with a multiresolution histogram face descriptor to create a powerful representation method for face recognition. The multi resolution histogram descriptor is based on local binary patterns or local phase coding to achieve invariance to various types of image degradation phenomena. By its nature, the histogram descriptor is also robust to geometric misalignment of the gallery and query faces. The proposed face recognition method is evaluated on Yale Face Database B and the extended Yale Face Database B, yielding very impressive results.

引用

页码：2441 / 2444

页数：4

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Wright, John ;

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