Face recognition from synchronised visible and near-infrared images

被引：13

作者：

Hizem, W. ^{[1
]}

Allano, L. ^{[1
]}

Mellakh, A. ^{[1
]}

Dorizzi, B. ^{[1
]}

机构：

[1] Telecom & Management Sud Paris, Inst Telecom, Paris, France

来源：

IET SIGNAL PROCESSING | 2009年 / 3卷 / 04期

关键词：

D O I：

10.1049/iet-spr.2008.0173

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：

The improvement in face recognition that can be obtained from the simultaneous availability of normal and near-infrared (NIR) images is quantitatively measured. The authors designed a camera that can perform a simultaneous acquisition of a NIR image and visible images (VI) and therefore built a face database with this camera aiming at comparing the performance of several algorithms on both types of images when illumination variations occur. The authors noticed the stability of the performance of all the tested algorithms on infrared images upon illumination variation, and the improvement in performance that results from the fusion of these two different types of images.

引用

页码：282 / 288

页数：7

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