From pictures to reality: modelling the phenomenology and psychophysics of 3D perception

Author:

Vishwanath Dhanraj1ORCID

Affiliation:

1. School of Psychology and Neuroscience, University of St Andrews, St Andrews, Fife KY16 9JP, UK

Abstract

The dominant inferential approach to human 3D perception assumes a model of spatial encoding based on a physical description of objects and space. Prevailing models based on this physicalist approach assume that the visual system infers an objective, unitary and mostly veridical representation of the external world. However, careful consideration of the phenomenology of 3D perception challenges these assumptions. I review important aspects of phenomenology, psychophysics and neurophysiology which suggest that human visual perception of 3D  objects and space is underwritten by distinct and dissociated spatial encodings that are optimized for specific regions of space. Specifically, I argue that 3D perception is underwritten by at least three distinct encodings for (1) egocentric distance perception at the ambulatory scale, (2) exocentric distance (scaled depth) perception optimized for near space, and (3) perception of object shape and layout (unscaled depth). This tripartite division can more satisfactorily account for the phenomenology, psychophysics and adaptive logic of human 3D perception.This article is part of a discussion meeting issue ‘New approaches to 3D vision’.

Funder

Leverhulme Trust

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward a theory of perspective perception in pictures;Journal of Vision;2024-04-25

2. For an Epistemology of Stereopsis;Review of Philosophy and Psychology;2023-11-16

3. Unveiling destination choices: uncovering the influence of missing visual information on tourists’ decision-making and visit intention;International Journal of Tourism Cities;2023-10-06

4. New Approaches to 3D Vision;Philosophical Transactions of the Royal Society B: Biological Sciences;2022-12-13

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