Abstract
![CDATA[Background: This paper aim to improve the accuracy of super-imposition and processing time during Oral and Maxillofacial surgery. Methodology: The proposed system consists of Enhanced Tracking Learning Detection (TLD) enhance by an occlusion removal algorithm to remove occlusion in the region of interest. In addition, we propose a Modified Rigid and Non-Rigid Iterative Closest Point (MRaNRICP) for pose refinement. Moreover, this proposed MRaNRICP having a new error metric Boolean function to dictate the Iterative Closest Point (ICP)'s stopping condition. Results: The proposed system using a new error metric being defined as a new MRaNRICP and it gave overlay error from 0.22 - 0.29mm and processing time of 10 - 13 frames per second. Similarly, current system achieved the overlay error from 0.23 - 0.35mm and processing time of 8 - 12 frames per second. Conclusion: This research should reduce the computation time of the TLD algorithm and improve the accuracy of it.]]
Original language | English |
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Title of host publication | Proceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia |
Publisher | IEEE |
Number of pages | 10 |
ISBN (Print) | 9781728194370 |
DOIs | |
Publication status | Published - 2020 |
Event | IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications - Duration: 25 Nov 2020 → … |
Conference
Conference | IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications |
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Period | 25/11/20 → … |