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Directing gaze to maximize surface color information from natural scenes.

Overview

Authors: David H. Foster1, Kinjiro Amano1, Sérgio M. C. Nascimento2
  1. Department of Electrical and Electronic Engineering, University of Manchester,Manchester, M13 9PL UK
  2. Physics Center of Minho and Porto Universities (CF-UM-UP), University of Minho,Braga, 4710-057 Portugal
Institutions: University of Manchester (United Kingdom); University of Minho (Portugal)
Journal: Scientific reports, volume 16, issue 1, article 21729
Dates: received 2 October 2025; accepted 27 March 2026; published online 7 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41598-026-46685-6 · PMID 42098226 · PMCID PMC13358161 · OpenAlex W7160553315
Open access: gold, a free copy (OpenAlex)
Status: data only
Methods: Statistics, Connectivity, Physiology & signal measures
Keywords: Natural scenes, gaze behavior, visual information, cone photoreceptors, color gamut, deep neural networks, Neuroscience, Psychology
Topic: Face Recognition and Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Engineering and Physical Sciences Research Council (EP/W033968/1); Leverhulme Trust (RPG-2022-266); Portuguese Foundation for Science and Technology (FCT) in the framework of the Strategic Funding UIDB/04650/ Physics Centre of Minho and Porto Universities
Citations: not cited yet (Europe PMC); 112 references in the paper

Abstract

Natural scenes are often spatially and spectrally complex with a variety of land covers. Because of this complexity, where we look may not be guided by simple well-defined local image features or objects. Instead, gaze behavior may satisfy a more fundamental need: to reduce uncertainty about a scene’s elementary content, represented by the surface color at each point. The purpose of this study was to determine how effectively information is acquired by cone photoreceptors from scene fixations and how it relates to gaze behavior, scene variation, predictions of a deep neural network, and the number of available cone classes. Estimates of the information were computed from two sets of natural scene gaze data, one where observers searched for a target and the other where they viewed scenes freely. The information acquired in both tasks approached the maximum possible, with similar estimates from the network model. It increased with scene color diversity, quantified by color entropy, and decreased with fewer cone classes, as in some color vision deficiencies. These findings suggest that gaze is directed towards maximizing elementary scene information, which can then support more complex visual representations of scene content.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

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Data

Datasets cited

Data availability

Hyperspectral images may be downloaded from https://doi.org/10.48420/14877285 and https://doi.org/10.6084/m9.figshare.c.5240420. Fixation data are available on request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 8 keywords, 3 funders, 98 references.

Cite

This paper

Foster, D. H., Amano, K., & Nascimento, S. M. C. (2026). Directing gaze to maximize surface color information from natural scenes. Scientific reports, 16(1), 21729. https://doi.org/10.1038/s41598-026-46685-6

BibTeX

@article{foster2026directing,
author = {Foster, David H. and Amano, Kinjiro and Nascimento, Sérgio M. C.},
title = {{Directing gaze to maximize surface color information from natural scenes}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {21729},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-46685-6},
url = {https://doi.org/10.1038/s41598-026-46685-6},
pmid = {42098226},
pmcid = {PMC13358161}
}

RIS

TY - JOUR
AU - Foster, David H.
AU - Amano, Kinjiro
AU - Nascimento, Sérgio M. C.
TI - Directing gaze to maximize surface color information from natural scenes
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/07
VL - 16
IS - 1
SP - 21729
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-46685-6
UR - https://doi.org/10.1038/s41598-026-46685-6
LA - en
ER -

CSL-JSON

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