Down syndrome face recognition: a review

One of the most pertinent applications of image analysis is face recognition and one of the most common genetic disorders is Down syndrome (DS), which is caused by chromosome abnormalities in humans. It is currently a challenge in computer vision in the domain of DS face recognition to build an auto...

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Main Authors: Agbolade, Olalekan, Ahmad Nazri, Azree Shahrel, Yaakob, Razali, Abd Ghani, Abdul Azim, Cheah, Yoke Kqueen
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88527/1/ABSTRACT.pdf
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author Agbolade, Olalekan
Ahmad Nazri, Azree Shahrel
Yaakob, Razali
Abd Ghani, Abdul Azim
Cheah, Yoke Kqueen
author_facet Agbolade, Olalekan
Ahmad Nazri, Azree Shahrel
Yaakob, Razali
Abd Ghani, Abdul Azim
Cheah, Yoke Kqueen
author_sort Agbolade, Olalekan
collection UPM
description One of the most pertinent applications of image analysis is face recognition and one of the most common genetic disorders is Down syndrome (DS), which is caused by chromosome abnormalities in humans. It is currently a challenge in computer vision in the domain of DS face recognition to build an automated system that equals the human ability to recognize face as one of the symmetrical structures in the body. Consequently, the use of machine learning methods has facilitated the recognition of facial dysmorphic features associated with DS. This paper aims to present a concise review of DS face recognition using the currently published literature by following the generic face recognition pipeline (face detection, feature extraction, and classification) and to identify critical knowledge gaps and directions for future research. The technologies underlying facial analysis presented in recent studies have helped expert clinicians in general genetic disorders and DS prediction.
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spelling upm.eprints-885272021-12-22T02:43:50Z http://psasir.upm.edu.my/id/eprint/88527/ Down syndrome face recognition: a review Agbolade, Olalekan Ahmad Nazri, Azree Shahrel Yaakob, Razali Abd Ghani, Abdul Azim Cheah, Yoke Kqueen One of the most pertinent applications of image analysis is face recognition and one of the most common genetic disorders is Down syndrome (DS), which is caused by chromosome abnormalities in humans. It is currently a challenge in computer vision in the domain of DS face recognition to build an automated system that equals the human ability to recognize face as one of the symmetrical structures in the body. Consequently, the use of machine learning methods has facilitated the recognition of facial dysmorphic features associated with DS. This paper aims to present a concise review of DS face recognition using the currently published literature by following the generic face recognition pipeline (face detection, feature extraction, and classification) and to identify critical knowledge gaps and directions for future research. The technologies underlying facial analysis presented in recent studies have helped expert clinicians in general genetic disorders and DS prediction. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88527/1/ABSTRACT.pdf Agbolade, Olalekan and Ahmad Nazri, Azree Shahrel and Yaakob, Razali and Abd Ghani, Abdul Azim and Cheah, Yoke Kqueen (2020) Down syndrome face recognition: a review. Symmetry, 12 (7). art. no. 1182. pp. 1-17. ISSN 2073-8994 https://www.mdpi.com/2073-8994/12/7/1182 10.3390/sym12071182
spellingShingle Agbolade, Olalekan
Ahmad Nazri, Azree Shahrel
Yaakob, Razali
Abd Ghani, Abdul Azim
Cheah, Yoke Kqueen
Down syndrome face recognition: a review
title Down syndrome face recognition: a review
title_full Down syndrome face recognition: a review
title_fullStr Down syndrome face recognition: a review
title_full_unstemmed Down syndrome face recognition: a review
title_short Down syndrome face recognition: a review
title_sort down syndrome face recognition a review
url http://psasir.upm.edu.my/id/eprint/88527/1/ABSTRACT.pdf
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