Skip to main content
placeholder image

Automated reconstruction of multiple objects with individual movement based on PSP

Journal Article


Abstract


  • © 2020 Optical Society of America. Many methods have been proposed to reconstruct the moving object based on phase shifting profilometry. Quality reconstruction results can be achieved when a single moving object or multiple objects with same movement are measured. However, errors will be introduced when multiple objects with individual movements are reconstructed. This paper proposes an automated method to track and reconstruct the multiple objects with individual movement. First, the objects are identified automatically and their bounding boxes are obtained. Second, with the identified objects' images before movement, the objects are tracked by the KCF algorithm in the successive fringe pattern after movement. Third, the SIFT method is applied on the tracked object images and the objects' movement is described individually by the rotation matrix and translation vector. Finally, the multiple objects are reconstructed based on the different movement information. Experiments are presented to verify the effectiveness.

Authors


  •   Lu, Lei (external author)
  •   Jia, Zhaoyi (external author)
  •   Pan, Wei (external author)
  •   Zhang, Qinghui (external author)
  •   Zhang, Mengya (external author)
  •   Xi, Jiangtao

Publication Date


  • 2020

Citation


  • L. Lu, Z. Jia, W. Pan, Q. Zhang, M. Zhang & J. Xi, "Automated reconstruction of multiple objects with individual movement based on PSP," Optics Express, vol. 28, (19) pp. 28600-28611, 2020.

Scopus Eid


  • 2-s2.0-85091852537

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/4429

Number Of Pages


  • 11

Start Page


  • 28600

End Page


  • 28611

Volume


  • 28

Issue


  • 19

Place Of Publication


  • United States

Abstract


  • © 2020 Optical Society of America. Many methods have been proposed to reconstruct the moving object based on phase shifting profilometry. Quality reconstruction results can be achieved when a single moving object or multiple objects with same movement are measured. However, errors will be introduced when multiple objects with individual movements are reconstructed. This paper proposes an automated method to track and reconstruct the multiple objects with individual movement. First, the objects are identified automatically and their bounding boxes are obtained. Second, with the identified objects' images before movement, the objects are tracked by the KCF algorithm in the successive fringe pattern after movement. Third, the SIFT method is applied on the tracked object images and the objects' movement is described individually by the rotation matrix and translation vector. Finally, the multiple objects are reconstructed based on the different movement information. Experiments are presented to verify the effectiveness.

Authors


  •   Lu, Lei (external author)
  •   Jia, Zhaoyi (external author)
  •   Pan, Wei (external author)
  •   Zhang, Qinghui (external author)
  •   Zhang, Mengya (external author)
  •   Xi, Jiangtao

Publication Date


  • 2020

Citation


  • L. Lu, Z. Jia, W. Pan, Q. Zhang, M. Zhang & J. Xi, "Automated reconstruction of multiple objects with individual movement based on PSP," Optics Express, vol. 28, (19) pp. 28600-28611, 2020.

Scopus Eid


  • 2-s2.0-85091852537

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/4429

Number Of Pages


  • 11

Start Page


  • 28600

End Page


  • 28611

Volume


  • 28

Issue


  • 19

Place Of Publication


  • United States