• Laser & Optoelectronics Progress
  • Vol. 59, Issue 16, 1609001 (2022)
Meijuan Zhang1、3, Haiting Xia1、3、4、*, Qinghe Song2、3、**, Rongxin Guo1、3, Shirong Wang2, and Qiang Fang1、3
Author Affiliations
  • 1Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • 2Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • 3Yunnan Key Laboratory of Disaster Reduction in Civil Engineering, Kunming 650500, Yunnan , China
  • 4Faculty of Civil Aviation and Aeronautics, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • show less
    DOI: 10.3788/LOP202259.1609001 Cite this Article Set citation alerts
    Meijuan Zhang, Haiting Xia, Qinghe Song, Rongxin Guo, Shirong Wang, Qiang Fang. 3D Deformation Measurement Method of Multi-Camera Digital Holography[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1609001 Copy Citation Text show less

    Abstract

    Aiming at the problem that digital holography technology measures three-dimensional micro-deformation on the surface of an object, which requires vector information in three different directions, and usually the detection optical path is relatively complicated, a three-dimensional deformation detection method based on multi-camera digital holography is proposed. First, a method is established to accurately reconstruct the phase difference distribution before and after the object. According to the three phase differences that are not coplanar and contain three-dimensional deformation information, the detection of the three-dimensional deformation field on the surface of the object is realized. Then, numerical simulation and experimental verification of the proposed method are carried out, which proves the feasibility and practicability of the method.
    Meijuan Zhang, Haiting Xia, Qinghe Song, Rongxin Guo, Shirong Wang, Qiang Fang. 3D Deformation Measurement Method of Multi-Camera Digital Holography[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1609001
    Download Citation