DocumentCode :
671754
Title :
Infrared face recognition: A literature review
Author :
Ghiass, Reza Shoja ; Arandjelovic, Ognjen ; Bendada, Hakim ; Maldague, X.
fYear :
2013
fDate :
4-9 Aug. 2013
Firstpage :
1
Lastpage :
10
Abstract :
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.
Keywords :
face recognition; infrared imaging; lighting; AFR; IR; automatic face recognition; commercial applications; computer graphics; expression changes; facial disguises; illumination; image processing; infrared face recognition; law enforcement applications; pattern recognition; physiology; pose changes; visible spectrum images; Face; Face recognition; Feature extraction; Imaging; Lighting; Robustness; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location :
Dallas, TX
ISSN :
2161-4393
Print_ISBN :
978-1-4673-6128-6
Type :
conf
DOI :
10.1109/IJCNN.2013.6707096
Filename :
6707096
Link To Document :
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