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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| Format: | Article |
| Language: | English English |
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Lembaga Penerbitan dan Publikasi Ilmiah (LPPI)
2018
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| Online Access: | 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 |
| _version_ | 1848787547624308736 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:26:40Z |
| format | Article |
| id | iium-72004 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:26:40Z |
| publishDate | 2018 |
| publisher | Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | Development of pose estimation algorithm for Quranic Arabic word |
| title_sort | development of pose estimation algorithm for quranic arabic word |
| topic | QA75 Electronic computers. Computer science |
| 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 |