Related Experiment Video
Updated: May 9, 2026
04:43
Visualizing Visual Adaptation
Published on: April 24, 2017
Directing gaze to maximize surface color information from natural scenes
David H Foster1, Kinjiro Amano2, Sérgio M C Nascimento3
1Department of Electrical and Electronic Engineering, University of Manchester, Manchester, M13 9PL, UK. d.h.foster@manchester.ac.uk.
Scientific Reports
|May 7, 2026
Summary
Gaze behavior in natural scenes aims to reduce uncertainty by acquiring elementary color information. This strategy maximizes visual information intake, aiding complex scene perception, especially with diverse colors.
Area of Science:
- Visual perception
- Ecological psychology
- Computational neuroscience
Background:
- Natural scenes possess complex spatial and spectral properties.
- Gaze behavior may not solely rely on local image features but on reducing scene uncertainty.
- Elementary scene content, like surface color, is crucial for visual processing.
Purpose of the Study:
- To quantify information acquisition by cone photoreceptors during scene fixations.
- To investigate the relationship between gaze behavior and scene information.
- To explore factors influencing information acquisition, including scene variation, deep neural network predictions, and cone photoreceptor classes.
Main Methods:
- Calculated information estimates from two natural scene gaze datasets (target search and free viewing).
- Assessed information acquisition effectiveness related to cone photoreceptors.
- Quantified scene color diversity using color entropy.
Main Results:
- Information acquired during scene viewing approached maximum possible levels in both tasks.
- Information acquisition estimates were comparable to those from a deep neural network model.
- Acquired information increased with scene color diversity (color entropy) and decreased with fewer cone classes.
Conclusions:
- Gaze behavior appears optimized to maximize elementary scene information acquisition.
- This maximization of basic visual data supports the development of complex scene representations.
- Findings have implications for understanding visual processing in typical and color-deficient vision.
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