Evidence map›Paper›PMID 39237492›Full record

ArticleLight, science & applications2024

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

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

Abstract read
In one paragraph

Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Monocular meta-imaging camera sees depth.Light, science & applications · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhexuan CaoDepartment of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0003-0261-4105
Ning LiDepartment of Automation, Tsinghua University, Beijing, 100084, China.
Laiyu ZhuDepartment of Automation, Tsinghua University, Beijing, 100084, China.
Jiamin WuDepartment of Automation, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0003-3479-1026
Qionghai DaiDepartment of Automation, Tsinghua University, Beijing, 100084, China. qhdai@tsinghua.edu.cn.
Hui QiaoDepartment of Automation, Tsinghua University, Beijing, 100084, China. qiaohui@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-4896-8657

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62088102National Natural Science Foundation of China (National Science Foundation of China) 62322110, 62071271, U21B2013Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) JQ21012
6 · The paper itself

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

Identifiers

PMID39237492
PMCPMC11377717

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.