Volumetric error modelling of a stereo vision system for error correction in photogrammetric three-dimensional coordinate metrology

Isa, Mohammed A.; Sims-Waterhouse, Danny; Piano, Samanta; Leach, Richard

Abstract

Optical three-dimensional coordinate measurement using stereo vision has systematic errors that affect measurement quality. This paper presents a scheme for measuring, modelling and correcting these errors. The position and orientation of a linear stage are measured with a laser interferometer while a stereo vision system tracks target points on the moving stage. With reference to the higher accuracy laser interferometer measurement, the displacement errors of the tracked points are evaluated. Regression using a neural network is used to generate a volumetric error model from the evaluated displacement errors. The regression model is shown to outperform other interpolation methods. The volumetric error model is validated by correcting the three-dimensional coordinates of the point cloud from a photogrammetry instrument that uses the stereo vision system. The corrected points from the measurement of a calibrated spherical artefact are shown to have size and form errors of less than 50 ?m and 110 ?m respectively. A reduction of up to 30% in the magnitude of the probing size error is observed after error correction is applied.

• Journal Article Type: Article
• Acceptance Date: Apr 13, 2020
• Online Publication Date: Apr 20, 2020
• Publication Date: 2020-07
• Deposit Date: Apr 28, 2020
• Publicly Available Date: Apr 21, 2021
• Journal: Precision Engineering
• Print ISSN: 0141-6359
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 64
• Pages: 188-199
• DOI: https://doi.org/10.1016/j.precisioneng.2020.04.010
• Public URL: https://nottingham-repository.worktribe.com/output/4354981
• Publisher URL: https://www.sciencedirect.com/science/article/abs/pii/S0141635919309365?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: Volumetric error modelling of a stereo vision system for error correction in photogrammetric three-dimensional coordinate metrology; Journal Title: Precision Engineering; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.precisioneng.2020.04.010; Content Type: article; Copyright: © 2020 Elsevier Inc. All rights reserved.