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New Approaches to 3D Vision

Lookup NU author(s): Professor Jenny ReadORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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'.

Publication metadata

Author(s): Linton P, Morgan MJ, Read JCA, Vishwanath D, Creem-Regehr SH, Domini F

Publication type: Article

Publication status: Published

Journal: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences

Year: 2023

Volume: 378

Issue: 1869

Print publication date: 30/01/2023

Online publication date: 13/12/2022

Acceptance date: 25/10/2022

Date deposited: 04/01/2023

ISSN (print): 0962-8436

ISSN (electronic): 1471-2970

Publisher: Royal Society Publishing


DOI: 10.1098/rstb.2021.0443

PubMed id: 36511413


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