3D scan process optimisation study for rapid virtualization.

Angus P. Fitzpatrick*, Paul K. Collins, Ian Gibson

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

2 Citations (Scopus)
72 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)911-916
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 2020
Event30th CIRP Design Conference, CIRP Design 2020 - Skukuza Rest Camp, Pretoria, South Africa
Duration: 6 May 20208 May 2020
Conference number: 30


  • 3D Scanning
  • Process Optimisation
  • Virtualization


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