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Three-dimensional shape measurement using a structured light system with dual cameras

Song Zhang Shing-Tung Yau

Computational Geometry mathscidoc:1912.43543

Optical Engineering, 47, (1), 013604, 2008.1
A structured light system for three-dimensional shape measurement with single camera has the shortcoming of camera occlusion. To alleviate this problem, this paper introduces a structured light system with dual cameras for three-dimensional shape measurement. We discuss (1) system description, (2) system calibration, (3) three-dimensional data registration using the iterative closest-point (ICP) algorithm, and (4) three-dimensional data merging using holoimage. The principle of the system is introduced, and experiments are presented to verify its performance.
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@inproceedings{song2008three-dimensional,
  title={Three-dimensional shape measurement using a structured light system with dual cameras},
  author={Song Zhang, and Shing-Tung Yau},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191224203931661586107},
  booktitle={Optical Engineering},
  volume={47},
  number={1},
  pages={013604},
  year={2008},
}
Song Zhang, and Shing-Tung Yau. Three-dimensional shape measurement using a structured light system with dual cameras. 2008. Vol. 47. In Optical Engineering. pp.013604. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20191224203931661586107.
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