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

Journal Article


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.

Publication Date


  • 2018

Citation


  • 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.

Scopus Eid


  • 2-s2.0-85032746133

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/763

Number Of Pages


  • 6

Start Page


  • 325

End Page


  • 331

Volume


  • 100

Place Of Publication


  • United Kingdom

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.

Publication Date


  • 2018

Citation


  • 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.

Scopus Eid


  • 2-s2.0-85032746133

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/763

Number Of Pages


  • 6

Start Page


  • 325

End Page


  • 331

Volume


  • 100

Place Of Publication


  • United Kingdom