Cargando…

Natural statistics of depth edges modulate perceptual stability

Binocular fusion relies on matching points in the two eyes that correspond to the same physical feature in the world; however, not all world features are binocularly visible. Near depth edges, some regions of a scene are often visible to only one eye (so-called half occlusions). Accurate detection o...

Descripción completa

Detalles Bibliográficos
Autores principales: Başgöze, Zeynep, White, David N., Burge, Johannes, Cooper, Emily A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438667/
https://www.ncbi.nlm.nih.gov/pubmed/32761107
http://dx.doi.org/10.1167/jov.20.8.10
_version_ 1783572832769277952
author Başgöze, Zeynep
White, David N.
Burge, Johannes
Cooper, Emily A.
author_facet Başgöze, Zeynep
White, David N.
Burge, Johannes
Cooper, Emily A.
author_sort Başgöze, Zeynep
collection PubMed
description Binocular fusion relies on matching points in the two eyes that correspond to the same physical feature in the world; however, not all world features are binocularly visible. Near depth edges, some regions of a scene are often visible to only one eye (so-called half occlusions). Accurate detection of these monocularly visible regions is likely to be important for stable visual perception. If monocular regions are not detected as such, the visual system may attempt to binocularly fuse non-corresponding points, which can result in unstable percepts. We investigated the hypothesis that the visual system capitalizes on statistical regularities associated with depth edges in natural scenes to aid binocular fusion and facilitate perceptual stability. By sampling from a large set of stereoscopic natural images with co-registered distance information, we found evidence that monocularly visible regions near depth edges primarily result from background occlusions. Accordingly, monocular regions tended to be more visually similar to the adjacent binocularly visible background region than to the adjacent binocularly visible foreground. Consistent with our hypothesis, perceptual experiments showed that perception tended to be more stable when the image properties of the depth edge were statistically more likely given the probability of occurrence in natural scenes (i.e., when monocular regions were more visually similar to the binocular background). The generality of these results was supported by a parametric study with simulated environments. Exploiting regularities in natural environments may allow the visual system to facilitate fusion and perceptual stability when both binocular and monocular regions are visible.
format Online
Article
Text
id pubmed-7438667
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher The Association for Research in Vision and Ophthalmology
record_format MEDLINE/PubMed
spelling pubmed-74386672020-08-28 Natural statistics of depth edges modulate perceptual stability Başgöze, Zeynep White, David N. Burge, Johannes Cooper, Emily A. J Vis Article Binocular fusion relies on matching points in the two eyes that correspond to the same physical feature in the world; however, not all world features are binocularly visible. Near depth edges, some regions of a scene are often visible to only one eye (so-called half occlusions). Accurate detection of these monocularly visible regions is likely to be important for stable visual perception. If monocular regions are not detected as such, the visual system may attempt to binocularly fuse non-corresponding points, which can result in unstable percepts. We investigated the hypothesis that the visual system capitalizes on statistical regularities associated with depth edges in natural scenes to aid binocular fusion and facilitate perceptual stability. By sampling from a large set of stereoscopic natural images with co-registered distance information, we found evidence that monocularly visible regions near depth edges primarily result from background occlusions. Accordingly, monocular regions tended to be more visually similar to the adjacent binocularly visible background region than to the adjacent binocularly visible foreground. Consistent with our hypothesis, perceptual experiments showed that perception tended to be more stable when the image properties of the depth edge were statistically more likely given the probability of occurrence in natural scenes (i.e., when monocular regions were more visually similar to the binocular background). The generality of these results was supported by a parametric study with simulated environments. Exploiting regularities in natural environments may allow the visual system to facilitate fusion and perceptual stability when both binocular and monocular regions are visible. The Association for Research in Vision and Ophthalmology 2020-08-06 /pmc/articles/PMC7438667/ /pubmed/32761107 http://dx.doi.org/10.1167/jov.20.8.10 Text en Copyright 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Başgöze, Zeynep
White, David N.
Burge, Johannes
Cooper, Emily A.
Natural statistics of depth edges modulate perceptual stability
title Natural statistics of depth edges modulate perceptual stability
title_full Natural statistics of depth edges modulate perceptual stability
title_fullStr Natural statistics of depth edges modulate perceptual stability
title_full_unstemmed Natural statistics of depth edges modulate perceptual stability
title_short Natural statistics of depth edges modulate perceptual stability
title_sort natural statistics of depth edges modulate perceptual stability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438667/
https://www.ncbi.nlm.nih.gov/pubmed/32761107
http://dx.doi.org/10.1167/jov.20.8.10
work_keys_str_mv AT basgozezeynep naturalstatisticsofdepthedgesmodulateperceptualstability
AT whitedavidn naturalstatisticsofdepthedgesmodulateperceptualstability
AT burgejohannes naturalstatisticsofdepthedgesmodulateperceptualstability
AT cooperemilya naturalstatisticsofdepthedgesmodulateperceptualstability