A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point

Sam Manohar, Abeer Alsadoon, P. W. C. Prasa, Razwan Mohmed Salah, Angelika Maag, Yahini Murugesan

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia
PublisherIEEE
Number of pages10
ISBN (Print)9781728194370
DOIs
Publication statusPublished - 2020
EventIEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications -
Duration: 25 Nov 2020 → …

Conference

ConferenceIEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications
Period25/11/20 → …

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