Expression-invariant multispectral face recognition: You can smile now!

被引：0
|
作者：
Kakadiaris, Ioannis A. [1 ]
Passalis, George [1 ]
Toderici, George [1 ]
Lu, Yunliang [1 ]
Karampatziakis, Nikos [1 ]
Murtuza, Najam [1 ]
Theoharis, Theoharis [1 ]
机构：
[1] Univ Houston, Dept Comp Sci, Computat Biomed Lab, Houston, TX 77204 USA
来源：
BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION III | 2006年 / 6202卷
关键词：
face recognition; multispectral biometrics; biometrics; verification;
D O I：
10.1117/12.665697
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Face recognition performance has always been affected by the different facial expressions a subject may display. In this paper, we present an extension to the UR3D face recognition algorithm, which enables us to decrease the discrepancy in its performance for datasets from subjects with and without a neutral facial expression, from 15% to 3%.
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页数：7
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