Unconstrained facial recognition systems: a review

Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its applications in various domains. Face recognition under controlled environment that is where pose, illumin...

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Main Authors: Hassan, Marwa Yousif, Khalifa, Othman Omran, Abu Talib, Azhar, Hassan Abdalla Hashim, Aisha
Format: Article
Language:English
Published: Asian Journal of Applied Sciences 2015
Subjects:
Online Access:http://irep.iium.edu.my/43102/
http://irep.iium.edu.my/43102/
http://irep.iium.edu.my/43102/1/2151-9158-1-PB.pdf
id iium-43102
recordtype eprints
spelling iium-431022017-11-17T03:04:14Z http://irep.iium.edu.my/43102/ Unconstrained facial recognition systems: a review Hassan, Marwa Yousif Khalifa, Othman Omran Abu Talib, Azhar Hassan Abdalla Hashim, Aisha T Technology (General) Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its applications in various domains. Face recognition under controlled environment that is where pose, illumination and other factors are controlled, has well been developed in the literature and near perfection accuracy results have been achieved. However, the unconstrained counterpart, where these factors are not controlled, still under heavy research. Recently, newly developed algorithms in the field that are based on deep learning technology have made significant progress. In this paper, an overview of the newly developed unconstrained facial recognition systems is presented. Asian Journal of Applied Sciences 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43102/1/2151-9158-1-PB.pdf Hassan, Marwa Yousif and Khalifa, Othman Omran and Abu Talib, Azhar and Hassan Abdalla Hashim, Aisha (2015) Unconstrained facial recognition systems: a review. Asian Journal of Applied Sciences, 3 (2). pp. 346-354. ISSN 2321-0893 http://www.ajouronline.com/index.php?journal=AJAS&page=article&op=view&path%5B%5D=2151&path%5B%5D=1360
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hassan, Marwa Yousif
Khalifa, Othman Omran
Abu Talib, Azhar
Hassan Abdalla Hashim, Aisha
Unconstrained facial recognition systems: a review
description Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its applications in various domains. Face recognition under controlled environment that is where pose, illumination and other factors are controlled, has well been developed in the literature and near perfection accuracy results have been achieved. However, the unconstrained counterpart, where these factors are not controlled, still under heavy research. Recently, newly developed algorithms in the field that are based on deep learning technology have made significant progress. In this paper, an overview of the newly developed unconstrained facial recognition systems is presented.
format Article
author Hassan, Marwa Yousif
Khalifa, Othman Omran
Abu Talib, Azhar
Hassan Abdalla Hashim, Aisha
author_facet Hassan, Marwa Yousif
Khalifa, Othman Omran
Abu Talib, Azhar
Hassan Abdalla Hashim, Aisha
author_sort Hassan, Marwa Yousif
title Unconstrained facial recognition systems: a review
title_short Unconstrained facial recognition systems: a review
title_full Unconstrained facial recognition systems: a review
title_fullStr Unconstrained facial recognition systems: a review
title_full_unstemmed Unconstrained facial recognition systems: a review
title_sort unconstrained facial recognition systems: a review
publisher Asian Journal of Applied Sciences
publishDate 2015
url http://irep.iium.edu.my/43102/
http://irep.iium.edu.my/43102/
http://irep.iium.edu.my/43102/1/2151-9158-1-PB.pdf
first_indexed 2023-09-18T21:01:24Z
last_indexed 2023-09-18T21:01:24Z
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