Paper
4 December 2024 A motion error compensation method for phase-shifting profilometry based on principal component analysis
Author Affiliations +
Proceedings Volume 13283, Conference on Spectral Technology and Applications (CSTA 2024); 132831Q (2024) https://doi.org/10.1117/12.3035913
Event: Conference on Spectral Technology and Applications (CSTA 2024), 2024, Dalian, China
Abstract
Fringe projection phase-shifting profilometry is widely used in defect detection and reverse engineering due to its high precision and non-contact characteristics. However, phase-shifting profilometry remains a challenge for the measurement of dynamic scenes due to continuous projection. In this work, we propose a motion error compensation method based on principal component analysis (PCA), which is capable of estimating the motion of object, eliminating the phase error introduced by motion, and realizing high-precision phase retrieval. The experimental results demonstrate that the proposed method can perform high-quality 3D reconstruction of an object moving in any direction, and the measurement accuracy is better than 80 um.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mingzheng Li, Yixuan Li, Jiaming Qian, and Shijie Feng "A motion error compensation method for phase-shifting profilometry based on principal component analysis", Proc. SPIE 13283, Conference on Spectral Technology and Applications (CSTA 2024), 132831Q (4 December 2024); https://doi.org/10.1117/12.3035913
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KEYWORDS
Phase shifts

Error analysis

Principal component analysis

Fringe analysis

Motion measurement

3D modeling

Motion estimation

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