Infrared face recognition: A comprehensive review of methodologies and databases

Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications. Hence it is unsurprising that it continues to be one of the most active research areas of computer vision. Even after over three decades of intense resea...

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Vydáno v:Pattern recognition Ročník 47; číslo 9; s. 2807 - 2824
Hlavní autoři: Shoja Ghiass, Reza, Arandjelović, Ognjen, Bendada, Abdelhakim, Maldague, Xavier
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.09.2014
Elsevier
Témata:
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Face recognition
Fusion
Identification
Image processing
Information, signal and communications theory
Infrared
Law enforcement
Literature reviews
Pattern recognition
Pattern recognition. Digital image processing. Computational geometry
Physiology
Signal and communications theory
Signal processing
Signal, noise
Survey
Telecommunications and information theory
Thermal
Thermogram
Vein extraction
Vein extraction
Survey
Thermogram
Identification
Fusion
Thermal
Biometrics
Computer vision
State of the art
Image recognition
Face recognition
Image processing
Pattern recognition
Accuracy
Computer graphics
Database
Illumination
Visible spectrum
Physiology
Thermal imaging
Automatic recognition
ISSN:0031-3203, 1873-5142
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Popis
Shrnutí:Automatic face recognition is an area with immense practical potential which includes a wide range of commercial and law enforcement applications. Hence it is unsurprising that 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 face recognition continues to improve, benefitting from advances in a range of different research fields such as image processing, pattern recognition, computer graphics, and physiology. Systems based on visible spectrum images, the most researched face recognition modality, have reached a significant level of maturity with some practical success. However, they continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease recognition 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. Our key contributions are (i) a summary of the inherent properties of infrared imaging which makes this modality promising in the context of face recognition; (ii) a systematic review of the most influential approaches, with a focus on emerging common trends as well as key differences between alternative methodologies; (iii) a description of the main databases of infrared facial images available to the researcher; and lastly (iv) a discussion of the most promising avenues for future research. •The most comprehensive and up to date review of the field.•Useful conceptual organization of a large body of work, with an emphasis on the key trends and the most recent advances.•Includes a description of and a quick guide to the largest publicly available data sets available to researchers.
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ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2014.03.015