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Proceedings Paper

A method for dynamic 3D shape measurements based on multiple-shot FTP and motion compensation
Author(s): Chengpu Duan; Jun Tong; Jiangtao Xi; Yiwei Zhang; Yanguang Yu; Qinghua Guo; Lei Lu
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Paper Abstract

Fringe projection profilometry (FPP) has attracted considerable interests for addressing the challenge of measuring three-dimension (3D) shapes of moving objects. Compared with phase shift profilometry (PSP) which requires the capture of multiple fringe patterns and is thus only suitable for static objects, Fourier transform profilometry (FTP) is less sensitive to motion-induced errors. However, FTP is prone to the influence of background lights and variations of the surface reflectivity, which may result in less accurate measurements. There are studies aimed to reduce the measurement errors with FTP using more sophisticated processing of the fringe patterns. However, existing works focus on schemes based on single images and the correlation of the dynamic 3D shapes is largely unexplored. In this work, we present a new method that refines FTP-based dynamic shape measurements. Assuming 3D rigid movements of the targets, we propose to utilize knowledge of the motion parameters and combine the multiple height maps obtained from several FTP measurements after compensating the motion effect. Approaches for automatically combining the height information are studied. It is observed that the measurement accuracy can be improved using the proposed method and the influence due to ambient lights and reflectivity variations can be suppressed. Computer simulations are performed to verify the effectiveness of the proposed method. The proposed method can also be integrated into other FPP systems to improve the performance for dynamic object measurements.

Paper Details

Date Published: 16 October 2019
PDF: 7 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112052J (16 October 2019); doi: 10.1117/12.2542260
Show Author Affiliations
Chengpu Duan, Univ. of Wollongong (Australia)
Jun Tong, Univ. of Wollongong (Australia)
Jiangtao Xi, Univ. of Wollongong (Australia)
Yiwei Zhang, Univ. of Wollongong (Australia)
Yanguang Yu, Univ. of Wollongong (Australia)
Qinghua Guo, Univ. of Wollongong (Australia)
Lei Lu, Henan Univ. of Technology (China)

Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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