Deakin University
Browse

File(s) under permanent embargo

Infrared face recognition: a literature review

conference contribution
posted on 2013-01-01, 00:00 authored by R 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

Event

International Joint Conference on Neural Networks (2013 : Dallas, Texas)

Pagination

2791 - 2800

Publisher

IEEE

Location

Dallas, Texas

Place of publication

Piscataway, N.J.

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

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC