Infrared Face Recognition: A Literature Review

被引:0
|
作者
Ghiass, Reza Shoja [1 ]
Arandjelovic, Ognjen [2 ]
Bendada, Hakim [1 ]
Maldague, Xavier [1 ]
机构
[1] Univ Laval, Quebec City, PQ G1K 7P4, Canada
[2] Deakin Univ, Geelong, Vic 3217, Australia
关键词
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision. Even after over three decades of intense research, the state-of-the-art in AFR continues to improve, benefiting from advances in a range of different fields including image processing, pattern recognition, computer graphics and physiology. However, systems based on visible spectrum images continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease their accuracy. Amongst various approaches which have been proposed in an attempt to overcome these limitations, the use of infrared (IR) imaging has emerged as a particularly promising research direction. This paper presents a comprehensive and timely review of the literature on this subject.
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页数:10
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