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Comparison of face recognition algorithms for human-robot interactions

Face recognition is a cornerstone of many robotic systems in which a robot has to identify and interact with a human being. Choosing a face recognition algorithm arbitrarily may not yield the best results for a researcher and may produce undermined results. In this paper we compare three widely used...

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Main Authors: Ahmed, Mohamed Tahir, Mohd. Amin, Shamsudin
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/58110/1/MohamedTahirAhmed2015_ComparisonofFaceRecognitionAlgorithmsforHuman-RobotInteractions.pdf
http://eprints.utm.my/id/eprint/58110/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/3887
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spelling my.utm.581102021-08-22T07:00:42Z http://eprints.utm.my/id/eprint/58110/ Comparison of face recognition algorithms for human-robot interactions Ahmed, Mohamed Tahir Mohd. Amin, Shamsudin T Technology (General) Face recognition is a cornerstone of many robotic systems in which a robot has to identify and interact with a human being. Choosing a face recognition algorithm arbitrarily may not yield the best results for a researcher and may produce undermined results. In this paper we compare three widely used algorithms in terms of speed and accuracy. Such data can be very useful in choosing an algorithm for a particular task. The algorithms were applied to 36 different situations, and the results indicate the strengths, advantage and limitations of each of the three recognition methods in a certain setting. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/58110/1/MohamedTahirAhmed2015_ComparisonofFaceRecognitionAlgorithmsforHuman-RobotInteractions.pdf Ahmed, Mohamed Tahir and Mohd. Amin, Shamsudin (2015) Comparison of face recognition algorithms for human-robot interactions. Jurnal Teknologi, 72 . pp. 73-78. ISSN 0127-9696 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/3887
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ahmed, Mohamed Tahir
Mohd. Amin, Shamsudin
Comparison of face recognition algorithms for human-robot interactions
description Face recognition is a cornerstone of many robotic systems in which a robot has to identify and interact with a human being. Choosing a face recognition algorithm arbitrarily may not yield the best results for a researcher and may produce undermined results. In this paper we compare three widely used algorithms in terms of speed and accuracy. Such data can be very useful in choosing an algorithm for a particular task. The algorithms were applied to 36 different situations, and the results indicate the strengths, advantage and limitations of each of the three recognition methods in a certain setting.
format Article
author Ahmed, Mohamed Tahir
Mohd. Amin, Shamsudin
author_facet Ahmed, Mohamed Tahir
Mohd. Amin, Shamsudin
author_sort Ahmed, Mohamed Tahir
title Comparison of face recognition algorithms for human-robot interactions
title_short Comparison of face recognition algorithms for human-robot interactions
title_full Comparison of face recognition algorithms for human-robot interactions
title_fullStr Comparison of face recognition algorithms for human-robot interactions
title_full_unstemmed Comparison of face recognition algorithms for human-robot interactions
title_sort comparison of face recognition algorithms for human-robot interactions
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/58110/1/MohamedTahirAhmed2015_ComparisonofFaceRecognitionAlgorithmsforHuman-RobotInteractions.pdf
http://eprints.utm.my/id/eprint/58110/
http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/3887
_version_ 1709667330458386432
score 13.211869

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