IR and visible light face recognition

被引：124

作者：

Chen, X ^{[1
]}

Flynn, PJ ^{[1
]}

Bowyer, KW ^{[1
]}

机构：

[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2005年 / 99卷 / 03期

基金：

美国国家科学基金会;

关键词：

multi-modal; biometrics; face recognition; infrared imaging; principal components analysis;

D O I：

10.1016/j.cviu.2005.03.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the results or several large-scale studies or race recognition employing visible-light and infrared (IR) imagery in the context of principal component analysis. We find that in a scenario involving time lapse between gallery and probe. and relatively controlled lighting, (1) PCA-based recognition using visible-light images Outperforms PCA-based recognition using infrared images, (2) the combination of PCA-based recognition using Visible-light and infrared imagery substantially outperforms either one individually. I it it same-session scenario (i.e., near-simultaneous acquisition of gallery and probe images) neither modality is significantly better than the other. These experimental results reinrorce prior research that employed a smaller data set, presenting it convincing argument that. even across it broad experimental spectrum, the behaviors enumerated above are valid and consistent, (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：332 / 358

页数：27

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