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Modelling surface color discrimination under different lighting environments using image chromatic statistics and convolutional neural networks

Abstract:

We modeled discrimination thresholds for object colors under different lighting environments [1]. Firstly we built models based on chromatic statistics, testing 60 models in total. Secondly we trained convolutional neural networks (CNNs), using 160,280 images labeled either by the ground-truth or by human responses. No single chromatic statistics model was sufficient to describe human discrimination thresholds across conditions, while human-response-trained CNNs nearly perfectly predicted hum...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1364/JOSAA.479986

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author
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Name:
Wellcome Trust
Grant:
218657/Z/19/Z
Publisher:
Optical Society of America
Journal:
Journal of the Optical Society of America A More from this journal
Volume:
40
Issue:
3
Pages:
A149-A159
Publication date:
2023-02-15
Acceptance date:
2023-01-12
DOI:
EISSN:
1520-8532
ISSN:
1084-7529
Language:
English
Keywords:
Pubs id:
1321992
Local pid:
pubs:1321992
Deposit date:
2023-01-13

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