Evidence map›Paper›PMID 36511413›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

New Approaches to 3D Vision.

Paul Linton, Michael J Morgan, Jenny C A Read, Dhanraj Vishwanath, Sarah H Creem-Regehr, Fulvio Domini

Open access · greenAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Minimal theory of 3D vision: new approach to visual scale and visual shape.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  6. New Approaches to 3D Vision.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  7. 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 at 6 institutions in 2 countries.

Paul LintonPresidential Scholars in Society and Neuroscience, Center for Science and Society, Columbia University, New York, NY 10027, USA.ORCID 0000-0002-6964-9575
Michael J MorganDepartment of Optometry and Visual Sciences, City, University of London, Northampton Square, London EC1V 0HB, UK.ORCID 0000-0002-5946-3101
Jenny C A ReadBiosciences Institute, Newcastle University, Newcastle upon Tyne, Tyne & Wear NE2 4HH, UK.ORCID 0000-0002-9029-5185
Dhanraj VishwanathSchool of Psychology and Neuroscience, University of St Andrews, St Andrews, Fife KY16 9JP, UK.ORCID 0000-0002-8095-0537
Sarah H Creem-RegehrDepartment of Psychology, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0001-7740-1118
Fulvio DominiDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912-9067, USA.ORCID 0000-0002-5510-0397
Brown University · USCity, University of London · GBNewcastle University · GBSociety for Neuroscience · USUniversity of St Andrews · GBUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of how animals navigate the 3D world, and new insights into human perception in virtual and augmented reality. Whilst traditional approaches to 3D vision in computer vision (SLAM: simultaneous localization and mapping), animal navigation (cognitive maps), and human vision (optimal cue integration) start from the assumption that the aim of 3D vision is to provide an accurate 3D model of the world, the new approaches to 3D vision explored in this issue challenge this assumption. Instead, they investigate the possibility that computer vision, animal navigation, and human vision can rely on partial or distorted models or no model at all. This issue also highlights the implications for artificial intelligence, autonomous vehicles, human perception in virtual and augmented reality, and the treatment of visual disorders, all of which are explored by individual articles. This article is part of a discussion meeting issue 'New approaches to 3D vision'.

Indexed as

Artificial IntelligenceUser-Computer InterfaceAnimalsHumansVision, Ocular3D visionartificial intelligencecomputer visionhuman visionnavigation

Identifiers

PMID36511413
PMCPMC9745878
OpenAlexW4311349705

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.