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3D scan process optimisation study for rapid virtualization

Version 2 2024-06-03, 21:33
Version 1 2020-08-20, 10:47
conference contribution
posted on 2024-06-03, 21:33 authored by Angus P Fitzpatrick, Paul K Collins, Ian GibsonIan Gibson
Introduction – Many of the problems facing 3d scanning as a digitisation method around the human form are caused by the time it takes to scan the entity. This can be solved by using multiple cameras organised in a way to scan the extremity simultaneously from multiple directions. This paper is the exploration around the minimum number of cameras needed to obtain a usable model. Methodology – Using a 5-stage experimental process for 17 subjects and batch processing each stage, determined the most efficient workflow. Results – Excluding the exploration subject, it was found that the use of 4 cameras simultaneously was 5.5 times faster, including processing time then it was to use a single camera. Conclusion – using multiple cameras makes the process 5.5 times faster, as well as batch processing, and having a standardised method to enable the use of algorithmic file processing.

History

Volume

91

Pagination

911-916

Location

Pretoria, South Africa

Open access

  • Yes

Start date

2020-05-05

End date

2020-05-08

ISSN

2212-8271

Language

eng

Notes

Enhancing design through the 4th Industrial Revolution Thinking keywords: 3D Scanning, Process Optimisation, Virtualization

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Mpofu K, Butala P

Title of proceedings

CIRP Dn 2020 : Enhancing design through the 4th Industrial Revolution thinking : Proceedings of the 30th CIRP Conference on Design 2020

Event

International Academy for Production Engineering. Conference (30th : 2020 : Pretoria, South Africa)

Publisher

Elsevier

Place of publication

Amsterdam, The Netherlands

Series

International Academy for Production Engineering Conference

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