Single exposure passive three-dimensional information reconstruction based on an ordinary imaging system

doi:10.1088/1674-1056/ace764

中国物理B ›› 2023, Vol. 32 ›› Issue (11): 114204-114204.doi: 10.1088/1674-1056/ace764

Single exposure passive three-dimensional information reconstruction based on an ordinary imaging system

Shen-Cheng Dou(窦申成)^1,2, Fan Liu(刘璠)^1,2, Hu Li(李虎)³, Xu-Ri Yao(姚旭日)^4,5,†, Xue-Feng Liu(刘雪峰)^1,2,‡, and Guang-Jie Zhai(翟光杰)^1,2

1 Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Laboratory of Satellite Mission Operation, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;
4 Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements(MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, China;
5 Beijing Academy of Quantum Information Sciences, Beijing 100193, China

收稿日期:2023-05-04 修回日期:2023-07-11 接受日期:2023-07-14 出版日期:2023-10-16 发布日期:2023-10-16
通讯作者: Xu-Ri Yao, Xue-Feng Liu E-mail:yaoxuri@bit.edu.cn;liuxuefeng@nssc.ac.cn
基金资助:
Project supported by the National Key Research and Development Program of China (Grant No. 2018YFB0504302) and Beijing Institute of Technology Research Fund Program for Young Scholars (Grant No. 202122012).

Single exposure passive three-dimensional information reconstruction based on an ordinary imaging system

Shen-Cheng Dou(窦申成)^1,2, Fan Liu(刘璠)^1,2, Hu Li(李虎)³, Xu-Ri Yao(姚旭日)^4,5,†, Xue-Feng Liu(刘雪峰)^1,2,‡, and Guang-Jie Zhai(翟光杰)^1,2

1 Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Laboratory of Satellite Mission Operation, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;
4 Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements(MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, China;
5 Beijing Academy of Quantum Information Sciences, Beijing 100193, China

Received:2023-05-04 Revised:2023-07-11 Accepted:2023-07-14 Online:2023-10-16 Published:2023-10-16
Contact: Xu-Ri Yao, Xue-Feng Liu E-mail:yaoxuri@bit.edu.cn;liuxuefeng@nssc.ac.cn
Supported by:
Project supported by the National Key Research and Development Program of China (Grant No. 2018YFB0504302) and Beijing Institute of Technology Research Fund Program for Young Scholars (Grant No. 202122012).

摘要/Abstract

摘要： Existing three-dimensional (3D) imaging technologies have issues such as requiring active illumination, multiple exposures, or coding modulation. We propose a passive single 3D imaging method based on an ordinary imaging system. Using the point spread function of the imaging system to realize the non-coding measurement on the target, the full-focus images and depth information of the 3D target can be extracted from a single two-dimensional (2D) image through the compressed sensing algorithm. Simulation and experiments show that this approach can complete passive 3D imaging based on an ordinary imaging system without any coding operations. This method can achieve millimeter-level vertical resolution under single exposure conditions and has the potential for real-time dynamic 3D imaging. It improves the efficiency of 3D information detection, reduces the complexity of the imaging system, and may be of considerable value to the field of computer vision and other related applications.

关键词: passive three-dimensional imaging, single exposure, point spread function, compressed sensing

Abstract: Existing three-dimensional (3D) imaging technologies have issues such as requiring active illumination, multiple exposures, or coding modulation. We propose a passive single 3D imaging method based on an ordinary imaging system. Using the point spread function of the imaging system to realize the non-coding measurement on the target, the full-focus images and depth information of the 3D target can be extracted from a single two-dimensional (2D) image through the compressed sensing algorithm. Simulation and experiments show that this approach can complete passive 3D imaging based on an ordinary imaging system without any coding operations. This method can achieve millimeter-level vertical resolution under single exposure conditions and has the potential for real-time dynamic 3D imaging. It improves the efficiency of 3D information detection, reduces the complexity of the imaging system, and may be of considerable value to the field of computer vision and other related applications.

Key words: passive three-dimensional imaging, single exposure, point spread function, compressed sensing

中图分类号: (Imaging and optical processing)

42.30.-d

42.30.Va (Image forming and processing) 42.30.Wb (Image reconstruction; tomography)

Shen-Cheng Dou(窦申成), Fan Liu(刘璠), Hu Li(李虎), Xu-Ri Yao(姚旭日), Xue-Feng Liu(刘雪峰), and Guang-Jie Zhai(翟光杰). Single exposure passive three-dimensional information reconstruction based on an ordinary imaging system[J]. 中国物理B, 2023, 32(11): 114204-114204.

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Single exposure passive three-dimensional information reconstruction based on an ordinary imaging system

Single exposure passive three-dimensional information reconstruction based on an ordinary imaging system

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