Near infrared face recognition: A literature survey

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00461834" target="_blank" >RIV/67985556:_____/16:00461834 - isvavai.cz</a>

Alternative codes found

RIV/61384399:31160/16:00049996

Result on the web

<a href="http://dx.doi.org/10.1016/j.cosrev.2016.05.003" target="_blank" >http://dx.doi.org/10.1016/j.cosrev.2016.05.003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cosrev.2016.05.003" target="_blank" >10.1016/j.cosrev.2016.05.003</a>

Result language

angličtina

Original language name

Near infrared face recognition: A literature survey

Original language description

As a primary modality in biometrics, human face recognition has been employed widely in the computer vision domain because of its performance in a wide range of applications such as surveillance systems and forensics. Recently, near infrared (NIR) imagery has been used in many face recognition systems because of the high robustness to illumination changes in the acquired images. Even though some surveys have been conducted in this infrared domain, they have focused on thermal infrared methods rather than NIR methods. Furthermore, none of the previous infrared surveys provided comprehensive and critical analyses of NIR methods. Therefore, this paper presents an up-to-date survey of the wellknown NIR methods that are used to solve the problem of illumination. The paper includes a discussion of the benefits and drawbacks of various NIR methods. Finally, the most promising avenues for future research are highlighted.

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

—

Project

<a href="/en/project/GA15-16928S" target="_blank" >GA15-16928S: Invariants and adaptive representations of digital images</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computer Science Review

ISSN

1574-0137

e-ISSN

—

Volume of the periodical

21

Issue of the periodical within the volume

1

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

17

Pages from-to

1-17

UT code for WoS article

000383376800001

EID of the result in the Scopus database

2-s2.0-84991279725