Development of pose estimation algorithm for Quranic Arabic word

The study carried out in this report proposes the best keypoint detection, description, and pose estimation algorithm combination for Quranic Arabic words. Oriented-FAST Rotated-BRIEF (ORB) and Accelerated-KAZE (AKAZE) are used as the keypoint detection and description algorithms while Random Sample...

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Main Authors:	Mohd Esa, Luqman Naim, Morshidi, Malik Arman, Mohd Zailani, Syarah Munirah
Format:	Article
Language:	English English
Published:	Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/72004/ http://irep.iium.edu.my/72004/ http://irep.iium.edu.my/72004/ http://irep.iium.edu.my/72004/7/72004%20Development%20of%20pose%20estimation%20algorithm.pdf http://irep.iium.edu.my/72004/8/72004%20Development%20of%20pose%20estimation%20algorithm%20SCOPUS.pdf

id	iium-72004
recordtype	eprints
spelling	iium-720042019-07-12T01:56:02Z http://irep.iium.edu.my/72004/ Development of pose estimation algorithm for Quranic Arabic word Mohd Esa, Luqman Naim Morshidi, Malik Arman Mohd Zailani, Syarah Munirah QA75 Electronic computers. Computer science The study carried out in this report proposes the best keypoint detection, description, and pose estimation algorithm combination for Quranic Arabic words. Oriented-FAST Rotated-BRIEF (ORB) and Accelerated-KAZE (AKAZE) are used as the keypoint detection and description algorithms while Random Sample Consensus (RANSAC) and Least Median Squares (LMEDS) are used to evaluate the homography for pose estimation algorithms. The algorithms are combined with each other to provide four different techniques to estimate the pose of Quranic Arabic words. The algorithms are tested on a limited dataset chosen from a phrase within the Quran. Performance of each algorithm is measured in real-time through inlier to keypoint ratio which determines pose accuracy. Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) 2018-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/72004/7/72004%20Development%20of%20pose%20estimation%20algorithm.pdf application/pdf en http://irep.iium.edu.my/72004/8/72004%20Development%20of%20pose%20estimation%20algorithm%20SCOPUS.pdf Mohd Esa, Luqman Naim and Morshidi, Malik Arman and Mohd Zailani, Syarah Munirah (2018) Development of pose estimation algorithm for Quranic Arabic word. TTELKOMNIKA Telecommunication, Computing, Electronics and Control, 16 (4). pp. 1633-1641. ISSN 1693-6930 E-ISSN 2302-9293 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9048/pdf_799 10.12928/telkomnika.v16i4.9048
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mohd Esa, Luqman Naim Morshidi, Malik Arman Mohd Zailani, Syarah Munirah Development of pose estimation algorithm for Quranic Arabic word
description	The study carried out in this report proposes the best keypoint detection, description, and pose estimation algorithm combination for Quranic Arabic words. Oriented-FAST Rotated-BRIEF (ORB) and Accelerated-KAZE (AKAZE) are used as the keypoint detection and description algorithms while Random Sample Consensus (RANSAC) and Least Median Squares (LMEDS) are used to evaluate the homography for pose estimation algorithms. The algorithms are combined with each other to provide four different techniques to estimate the pose of Quranic Arabic words. The algorithms are tested on a limited dataset chosen from a phrase within the Quran. Performance of each algorithm is measured in real-time through inlier to keypoint ratio which determines pose accuracy.
format	Article
author	Mohd Esa, Luqman Naim Morshidi, Malik Arman Mohd Zailani, Syarah Munirah
author_facet	Mohd Esa, Luqman Naim Morshidi, Malik Arman Mohd Zailani, Syarah Munirah
author_sort	Mohd Esa, Luqman Naim
title	Development of pose estimation algorithm for Quranic Arabic word
title_short	Development of pose estimation algorithm for Quranic Arabic word
title_full	Development of pose estimation algorithm for Quranic Arabic word
title_fullStr	Development of pose estimation algorithm for Quranic Arabic word
title_full_unstemmed	Development of pose estimation algorithm for Quranic Arabic word
title_sort	development of pose estimation algorithm for quranic arabic word
publisher	Lembaga Penerbitan dan Publikasi Ilmiah (LPPI)
publishDate	2018
url	http://irep.iium.edu.my/72004/ http://irep.iium.edu.my/72004/ http://irep.iium.edu.my/72004/ http://irep.iium.edu.my/72004/7/72004%20Development%20of%20pose%20estimation%20algorithm.pdf http://irep.iium.edu.my/72004/8/72004%20Development%20of%20pose%20estimation%20algorithm%20SCOPUS.pdf
first_indexed	2023-09-18T21:42:06Z
last_indexed	2023-09-18T21:42:06Z
_version_	1777413208070422528

Development of pose estimation algorithm for Quranic Arabic word

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