Machine learning for the automation and optimisation of optical coordinate measurement

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Machine learning for the automation and optimisation of optical coordinate measurement

Camera based methods for optical coordinate metrology are growing in popularity due to their non-contact probing technique, fast data acquisition time, high point density and high surface coverage. However, these optical approaches are often highly user dependent, have high dependence on accurate sy...

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Bibliographic Details
Main Author:	Eastwood, Joe
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	machine learning metrology computer vision 3D scanning 3D imaging computational photography optimisation automation calibration characterisation photogrammetry
Online Access:	https://eprints.nottingham.ac.uk/72918/

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