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Reduction of systematic errors in structured light metrology at discontinuities in surface reflectivity

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journal contribution
posted on 2018-08-06, 13:24 authored by Huimin Yue, Harshana G. Dantanarayana, Yuxiang Wu, Jonathan Huntley
In measuring 3D shape with structured light techniques, systematic errors arise in the neighbourhood of discontinuities in reflectivity or geometry. A mechanism for this phenomenon is proposed, based on the finite size of the imaging system’s point spread function. A theoretical analysis for the phase errors in a phase-shifting projected fringe system is given, from which a correction algorithm to minimise the systematic errors is presented. In this algorithm, a closed form expression for the errors based on the intensity values and the phase values in a neighbourhood excluding the affected region is used to remove the estimated error from the measured phase values within the affected region. Experiments on samples with both linear and circular discontinuities in reflectivity demonstrated respective reductions in systematic errors by factors of 2.5× and 3×.

Funding

The authors gratefully acknowledge financial support from the Engineering and Physical Sciences Research Council under the Light Controlled Factory project EP/K018124/1. This work was also supported by National Nature Science Foundation of China (Grant No. 61421002), and the Fundamental Research Funds for the Central Universities (Grant No. JB180505).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Optics and Lasers in Engineering

Citation

YUE, H. ... et al, 2019. Reduction of systematic errors in structured light metrology at discontinuities in surface reflectivity. Optics and Lasers in Engineering, 112, pp. 68-76.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal Optics and Lasers in Engineering and the definitive published version is available at https://doi.org/10.1016/j.optlaseng.2018.08.002.

Acceptance date

2018-08-05

Publication date

2018-09-14

ISSN

0143-8166

Language

  • en

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