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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'.
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
URL: https://doi.org/10.1098/rstb.2021.0443
DOI: 10.1098/rstb.2021.0443
PubMed id: 36511413
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