posted on 2013-01-01, 00:00authored byR Ghiass, Ognjen Arandjelovic, H Bendada, X Maldague
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.
History
Pagination
2791 - 2800
Location
Dallas, Texas
Start date
2013-08-04
End date
2013-08-09
ISBN-13
9781467361293
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2013, IEEE
Title of proceedings
IJCNN 2013 : Proceedings of the International Joint Conference on Neural Networks