Development of real-time 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 English |
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Institute of Advanced Engineering and Science (IAES)
2017
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| Online Access: | http://irep.iium.edu.my/60356/ http://irep.iium.edu.my/60356/3/AcceptanceEmail.pdf http://irep.iium.edu.my/60356/9/60356_Development%20of%20real-time%20pose%20estimation%20algorithm%20.pdf http://irep.iium.edu.my/60356/15/60356_Development%20of%20real-time%20pose%20estimation%20algorithm%20for%20Quranic%20Arabic%20word_scopus.pdf |
| _version_ | 1848785476967727104 |
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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 | 2025-11-14T16:53:45Z |
| format | Article |
| id | iium-60356 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T16:53:45Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-603562019-08-22T04:48:09Z http://irep.iium.edu.my/60356/ Development of real-time pose estimation algorithm for Quranic Arabic word Mohd Esa, Luqman Naim Morshidi, Malik Arman Mohd Zailani, Syarah Munirah QA75 Electronic computers. Computer science QA76 Computer software 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. Institute of Advanced Engineering and Science (IAES) 2017-12-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60356/3/AcceptanceEmail.pdf application/pdf en http://irep.iium.edu.my/60356/9/60356_Development%20of%20real-time%20pose%20estimation%20algorithm%20.pdf application/pdf en http://irep.iium.edu.my/60356/15/60356_Development%20of%20real-time%20pose%20estimation%20algorithm%20for%20Quranic%20Arabic%20word_scopus.pdf Mohd Esa, Luqman Naim and Morshidi, Malik Arman and Mohd Zailani, Syarah Munirah (2017) Development of real-time pose estimation algorithm for Quranic Arabic word. Indonesian Journal of Electrical Engineering and Computer Science. ISSN 2502-4760 E-ISSN 2502-4760 (In Press) |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Mohd Esa, Luqman Naim Morshidi, Malik Arman Mohd Zailani, Syarah Munirah Development of real-time pose estimation algorithm for Quranic Arabic word |
| title | Development of real-time pose estimation algorithm for Quranic Arabic word |
| title_full | Development of real-time pose estimation algorithm for Quranic Arabic word |
| title_fullStr | Development of real-time pose estimation algorithm for Quranic Arabic word |
| title_full_unstemmed | Development of real-time pose estimation algorithm for Quranic Arabic word |
| title_short | Development of real-time pose estimation algorithm for Quranic Arabic word |
| title_sort | development of real-time pose estimation algorithm for quranic arabic word |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://irep.iium.edu.my/60356/ http://irep.iium.edu.my/60356/3/AcceptanceEmail.pdf http://irep.iium.edu.my/60356/9/60356_Development%20of%20real-time%20pose%20estimation%20algorithm%20.pdf http://irep.iium.edu.my/60356/15/60356_Development%20of%20real-time%20pose%20estimation%20algorithm%20for%20Quranic%20Arabic%20word_scopus.pdf |