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

doi:10.1109/CITISIA50690.2020.9371785

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

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

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
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	https://doi.org/10.1109/CITISIA50690.2020.9371785
Publication status	Published - 25 Nov 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
Period	25/11/20 → …

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© 2020 IEEE.

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10.1109/CITISIA50690.2020.9371785

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Manohar, S., Alsadoon, A., Prasa, P. W. C., Salah, R. M., Maag, A., & Murugesan, Y. (2020). A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point. In Proceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia IEEE. https://doi.org/10.1109/CITISIA50690.2020.9371785

Manohar, Sam ; Alsadoon, Abeer ; Prasa, P. W. C. et al. / A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point. Proceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia. IEEE, 2020.

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

abstract = "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.",

author = "Sam Manohar and Abeer Alsadoon and Prasa, {P. W. C.} and Salah, {Razwan Mohmed} and Angelika Maag and Yahini Murugesan",

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Manohar, S, Alsadoon, A, Prasa, PWC, Salah, RM, Maag, A & Murugesan, Y 2020, A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point. in Proceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia. IEEE, IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, 25/11/20. https://doi.org/10.1109/CITISIA50690.2020.9371785

A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point. / Manohar, Sam; Alsadoon, Abeer; Prasa, P. W. C. et al.
Proceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia. IEEE, 2020.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point

AU - Manohar, Sam

AU - Alsadoon, Abeer

AU - Prasa, P. W. C.

AU - Salah, Razwan Mohmed

AU - Maag, Angelika

AU - Murugesan, Yahini

PY - 2020/11/25

Y1 - 2020/11/25

N2 - 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.

AB - 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.

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T2 - IEEE Conference on Innovative Technologies in Intelligent Systems and Industrial Applications

Y2 - 25 November 2020

ER -

Manohar S, Alsadoon A, Prasa PWC, Salah RM, Maag A, Murugesan Y. A novel augmented reality approach in oral and maxillofacial surgery : super-imposition based on modified rigid and non-rigid iterative closest point. In Proceedings of the 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2020), 25 - 27 November, 2020, Sydney, Australia. IEEE. 2020 doi: 10.1109/CITISIA50690.2020.9371785

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

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