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Low level visual features support robust material perception in the judgement of metallicity

Abstract:

The human visual system is able to rapidly and accurately infer the material properties of objects and surfaces in the world. Yet an inverse optics approach-estimating the bi-directional reflectance distribution function of a surface, given its geometry and environment, and relating this to the optical properties of materials-is both intractable and computationally unaffordable. Rather, previous studies have found that the visual system may exploit low-level spatio-chromatic statistics as heu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-021-95416-6

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Pembroke College
Role:
Author
ORCID:
0000-0002-1342-9100
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Oxford college:
Pembroke College;Pembroke College;Pembroke College;Pembroke College;Pembroke College;Pembroke College
Role:
Author
ORCID:
0000-0001-8904-8315
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Name:
Arts and Humanities Research Council
Publisher:
Springer Nature
Journal:
Scientific Reports More from this journal
Volume:
11
Issue:
1
Article number:
16396
Publication date:
2021-08-12
Acceptance date:
2021-07-12
DOI:
EISSN:
2045-2322
ISSN:
2045-2322
Pmid:
34385496
Language:
English
Keywords:
Pubs id:
1191460
Local pid:
pubs:1191460
Deposit date:
2022-11-04

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