Development of pose estimation algorithm for Quranic Arabic word

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	4570/72004
Uncontrolled Keywords:	Pose estimation, ORB, AKAZE, RANSAC, LMEDS
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr Malik Arman Morshidi
Date Deposited:	08 May 2019 09:15
Last Modified:	12 Jul 2019 09:56
URI:	http://irep.iium.edu.my/id/eprint/72004

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