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Single-shot 3D imaging with point cloud projection based on metadevice

Engineering and Technology

Single-shot 3D imaging with point cloud projection based on metadevice

X. Jing, R. Zhao, et al.

This groundbreaking study presents a single-layer metasurface-based flat optical device that enables single-shot 3D imaging with impressive submillimeter depth accuracy. The innovative coding of point clouds and advanced matching algorithms open new avenues for applications in surface shape detection and gesture recognition, demonstrating remarkable potential for future technology. Conducted by Xiaoli Jing and colleagues, this research pushes the boundaries of optical imaging.

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Abstract
Three-dimensional (3D) imaging is a crucial information acquisition technology for light detection, autonomous vehicles, gesture recognition, machine vision, and other applications. Metasurface, as a subwavelength scale two-dimensional array, offers flexible control of optical wavefront owing to abundant design freedom. Metasurfaces are promising for use as optical devices because they have large field of view and powerful functionality. In this study, we propose a flat optical device based on a single-layer metasurface to project a coded point cloud in the Fourier space and explore a sophisticated matching algorithm to achieve 3D reconstruction, offering a complete technical roadmap for single-shot detection. We experimentally demonstrate that the depth accuracy of our system is smaller than 0.24 mm at a measurement distance of 300 mm, indicating the feasibility of the submillimetre measurement platform. Our method can pave the way for practical applications such as surface shape detection, gesture recognition, and personal authentication.
Publisher
Nature Communications
Published On
Dec 21, 2022
Authors
Xiaoli Jing, Ruizhe Zhao, Xin Li, Qiang Jiang, Chengzhi Li, Guangzhou Geng, Junjie Li, Yongtian Wang, Lingling Huang
Tags
metasurface
3D imaging
point cloud
depth accuracy
gesture recognition
optical device
surface shape detection
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