Aberration-robust monocular passive depth sensing using a meta-imaging camera

Zhexuan Cao; Ning Li; Laiyu Zhu; Jiamin Wu; Qionghai Dai; Hui Qiao

doi:10.1038/s41377-024-01609-9

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Aberration-robust monocular passive depth sensing using a meta-imaging camera

Original Articles

- Aberration-robust monocular passive depth sensing using a meta-imaging camera
- Light: Science & Applications Vol. 13, Issue 11, Pages: 2556-2565(2024)
- Affiliations：
  
  1.Department of Automation, Tsinghua University, Beijing 100084, China
  2.Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing 100084, China
  3.Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
- Author bio：
  
  Qionghai Dai (qhdai@tsinghua.edu.cn)
  Hui Qiao (qiaohui@mail.tsinghua.edu.cn)
- Funds：
- DOI：10.1038/s41377-024-01609-9
  CLC：
- Published：30 November 2024，
  
  Published Online：05 September 2024，
  
  Received：09 April 2024，
  
  Revised：23 August 2024，
  
  Accepted：26 August 2024
- Accepted：
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Cao, Z. X. et al. Aberration-robust monocular passive depth sensing using a meta-imaging camera. Light: Science & Applications, 13, 2556-2565 (2024).
DOI：

Cao, Z. X. et al. Aberration-robust monocular passive depth sensing using a meta-imaging camera. Light: Science & Applications, 13, 2556-2565 (2024). DOI： 10.1038/s41377-024-01609-9.

摘要

Abstract

Depth sensing plays a crucial role in various applications

including robotics

augmented reality

and autonomous driving. Monocular passive depth sensing techniques have come into their own for the cost-effectiveness and compact design

offering an alternative to the expensive and bulky active depth sensors and stereo vision systems. While the light-field camera can address the defocus ambiguity inherent in 2D cameras and achieve unambiguous depth perception

it compromises the spatial resolution and usually struggles with the effect of optical aberration. In contrast

our previously proposed meta-imaging sensor

has overcome such hurdles by reconciling the spatial-angular resolution trade-off and achieving the multi-site aberration correction for high-resolution imaging. Here

we present a compact meta-imaging camera and an analytical framework for the quantification of monocular depth sensing precision by calculating the Cramér–Rao lower bound of depth estimation. Quantitative evaluations reveal that the meta-imaging camera exhibits not only higher precision over a broader depth range than the light-field camera but also superior robustness against changes in signal-background ratio. Moreover

both the simulation and experimental results demonstrate that the meta-imaging camera maintains the capability of providing precise depth information even in the presence of aberrations. Showing the promising compatibility with other point-spread-function engineering methods

we anticipate that the meta-imaging camera may facilitate the advancement of monocular passive depth sensing in various applications.

关键词

Keywords

references

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