MULTI-VIEW FACE RECOGNITION VIA JOINT DYNAMIC SPARSE REPRESENTATION

被引：0

作者：

Zhang, Haichao ^{[1
,2
]}

Nasrabadi, Nasser M. ^{[3
]}

Huang, Thomas S. ^{[2
]}

Zhang, Yanning ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Peoples R China

[2] Univ Illinois, Beckman Inst, Chicago, IL 61801 USA

[3] US Army Lab, Adelphi, MD USA

来源：

2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年

关键词：

multi-view face recognition; joint dynamic sparsity; sparse representation based classification;

D O I：

暂无

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 consider the problem of automatically recognizing a human face from its multi-view images with unconstrained poses and illuminations. We formulate the multi-view face recognition problem as that of classifying among several multi-input (views) regression models by using a novel joint dynamic sparse representation method which exploits jointly the inter-correlation among all the multi-view images in order to make a decision. Extensive experiments on CMU Multi-PIE face database are conducted to verify the efficacy of the proposed method.

引用

页数：4

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