3D shape measurement of moving object with FFT-based spatial matching

Authors

Qinghua Guo, University of WollongongFollow
Yuxi Ruan, University of WollongongFollow
Jiangtao Xi, University of WollongongFollow
Limei Song, Tianjin Polytechnic UniversityFollow
Xin-jun Zhu, Tianjin Polytechnic University
Yanguang Yu, University of WollongongFollow
Jun Tong, University of WollongongFollow

RIS ID

117172

Publication Details

Q. Guo, Y. Ruan, J. Xi, L. Song, X. Zhu, Y. Yu & J. Tong, "3D shape measurement of moving object with FFT-based spatial matching," Optics and Laser Technology, vol. 100, pp. 325-331, 2018.

Abstract

This work presents a new technique for 3D shape measurement of moving object in translational motion, which finds applications in online inspection, quality control, etc. A low-complexity 1D fast Fourier transform (FFT)-based spatial matching approach is devised to obtain accurate object displacement estimates, and it is combined with single shot fringe pattern prolometry (FPP) techniques to achieve high measurement performance with multiple captured images through coherent combining. The proposed technique overcomes some limitations of existing ones. Specifically, the placement of marks on object surface and synchronization between projector and camera are not needed, the velocity of the moving object is not required to be constant, and there is no restriction on the movement trajectory. Both simulation and experimental results demonstrate the effectiveness of the proposed technique.

Grant Number

ARC/DE120101266