Natural scene statistics predict how humans pool information across space in surface tilt estimation.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
16
12
2019
accepted:
14
05
2020
revised:
07
07
2020
pubmed:
25
6
2020
medline:
22
9
2020
entrez:
25
6
2020
Statut:
epublish
Résumé
Visual systems estimate the three-dimensional (3D) structure of scenes from information in two-dimensional (2D) retinal images. Visual systems use multiple sources of information to improve the accuracy of these estimates, including statistical knowledge of the probable spatial arrangements of natural scenes. Here, we examine how 3D surface tilts are spatially related in real-world scenes, and show that humans pool information across space when estimating surface tilt in accordance with these spatial relationships. We develop a hierarchical model of surface tilt estimation that is grounded in the statistics of tilt in natural scenes and images. The model computes a global tilt estimate by pooling local tilt estimates within an adaptive spatial neighborhood. The spatial neighborhood in which local estimates are pooled changes according to the value of the local estimate at a target location. The hierarchical model provides more accurate estimates of groundtruth tilt in natural scenes and provides a better account of human performance than the local estimates. Taken together, the results imply that the human visual system pools information about surface tilt across space in accordance with natural scene statistics.
Identifiants
pubmed: 32579559
doi: 10.1371/journal.pcbi.1007947
pii: PCOMPBIOL-D-19-02169
pmc: PMC7340327
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1007947Subventions
Organisme : NEI NIH HHS
ID : R01 EY011747
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY028571
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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