Polarization structured light 3D depth image sensor for scenes with reflective surfaces

Xuanlun Huang, Chenyang Wu, Xiaolan Xu, Baishun Wang, Sui Zhang, Chihchiang Shen, Chiennan Yu, Jiaxing Wang, Nan Chi, Shaohua Yu and Connie J. Chang-Hasnain ()
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Xuanlun Huang: Fudan University
Chenyang Wu: Fudan University
Xiaolan Xu: Berxel Photonics Co. Ltd.
Baishun Wang: Berxel Photonics Co. Ltd.
Sui Zhang: Berxel Photonics Co. Ltd.
Chihchiang Shen: Berxel Photonics Co. Ltd.
Chiennan Yu: Berxel Photonics Co. Ltd.
Jiaxing Wang: Berxel Photonics Co. Ltd.
Nan Chi: Fudan University
Shaohua Yu: Fudan University
Connie J. Chang-Hasnain: Fudan University

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Highly reflective surfaces are notorious in the field of depth sensing and three-dimensional (3D) imaging because they can cause severe errors in perception of the depth. Despite recent progress in addressing this challenge, there are still no robust and error-free solutions. Here, we devise a polarization structured light 3D sensor for solving these problems, in which high-contrast-grating (HCG) vertical-cavity surface-emitting lasers (VCSELs) are used to exploit the polarization property. We demonstrate accurate depth measurements of the reflective surfaces and objects behind them in various imaging situations. In addition, the absolute error and effective measurement range are measured to prove the applicability for a wide range of 3D applications. Our work innovatively combines polarization and depth information, opening the way for fully understanding and applying polarization properties in the 3D domain.

Date: 2023
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DOI: 10.1038/s41467-023-42678-5

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