• Acta Photonica Sinica
  • Vol. 50, Issue 7, 152 (2021)
Jie GAO, Yiping CAO, and Jin CHEN
Author Affiliations
  • School of Electronic Information, Sichuan University, Chengdu610065, China
  • show less
    DOI: 10.3788/gzxb20215007.0712003 Cite this Article
    Jie GAO, Yiping CAO, Jin CHEN. Online Phase Measurement Profilometry Based on Super-resolution Image Reconstruction[J]. Acta Photonica Sinica, 2021, 50(7): 152 Copy Citation Text show less

    Abstract

    Due to the fast-moving measured online object,the captured deformed fringe patterns with motion blur may lose the phase information. Therefore, by adjusting the CCD image acquisition mode ,the CCD acquisition frame rate can be increased to adapt to the online measurement of fast moving objects. In order to obtain high-resolution deformed fringe patterns, this paper adopts a super resolution reconstruction method based on the maximum a posteriori, using Gauss and markov-gibbs random field models to construct posteriori probability of the high-resolution deformed fringe pattern, the optimal estimation of high-resolution deformed fringe patterns is obtained as the result of minimizing the objective function. In this way the deformed fringe patterns can be purified. Finally all the purified equivalent phase-shift deformed fringe patterns are used for online 3D reconstruction. The experimental results prove the effectiveness of this method. The proposed method has good application prospects in high-precision and fast online 3D measurement.
    Jie GAO, Yiping CAO, Jin CHEN. Online Phase Measurement Profilometry Based on Super-resolution Image Reconstruction[J]. Acta Photonica Sinica, 2021, 50(7): 152
    Download Citation