New Approaches to 3D Vision.

Journal: Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Published Date:

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'.

Authors

  • Paul Linton
    Presidential Scholars in Society and Neuroscience, Center for Science and Society, Columbia University, New York, NY 10027, USA.
  • Michael J Morgan
    Department of Optometry and Visual Sciences, City, University of London, Northampton Square, London EC1V 0HB, UK.
  • Jenny C A Read
    Biosciences Institute, Newcastle University, Newcastle upon Tyne, Tyne & Wear NE2 4HH, UK.
  • Dhanraj Vishwanath
    School of Psychology and Neuroscience, University of St Andrews, St Andrews, Fife KY16 9JP, UK.
  • Sarah H Creem-Regehr
    Department of Psychology, University of Utah, Salt Lake City, UT 84112, USA.
  • Fulvio Domini
    Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912-9067, USA.