Literature DB >> 33483544

Fluctuating environmental light limits number of surfaces visually recognizable by colour.

David H Foster1.   

Abstract

Small changes in daylight in the environment can produce large changes in reflected light, even over short intervals of time. Do these changes limit the visual recognition of surfaces by their colour? To address this question, information-theoretic methods were used to estimate computationally the maximum number of surfaces in a sample that can be identified as the same after an interval. Scene data were taken from successive hyperspectral radiance images. With no illumination change, the average number of surfaces distinguishable by colour was of the order of 10,000. But with an illumination change, the average number still identifiable declined rapidly with change duration. In one condition, the number after two minutes was around 600, after 10 min around 200, and after an hour around 70. These limits on identification are much lower than with spectral changes in daylight. No recoding of the colour signal is likely to recover surface identity lost in this uncertain environment.

Entities:  

Year:  2021        PMID: 33483544     DOI: 10.1038/s41598-020-80591-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  32 in total

Review 1.  Color constancy.

Authors:  David H Foster
Journal:  Vision Res       Date:  2010-09-16       Impact factor: 1.886

2.  Categorical color constancy for real surfaces.

Authors:  Maria Olkkonen; Christoph Witzel; Thorsten Hansen; Karl R Gegenfurtner
Journal:  J Vis       Date:  2010-12-27       Impact factor: 2.240

3.  Spatial distributions of local illumination color in natural scenes.

Authors:  Sérgio M C Nascimento; Kinjiro Amano; David H Foster
Journal:  Vision Res       Date:  2015-09-26       Impact factor: 1.886

4.  Information limits on identification of natural surfaces by apparent colour.

Authors:  David H Foster; Sérgio M C Nascimento; Kinjiro Amano
Journal:  Perception       Date:  2005       Impact factor: 1.490

5.  Reliable identification by color under natural conditions.

Authors:  Jeroen J M Granzier; Eli Brenner; Jeroen B J Smeets
Journal:  J Vis       Date:  2009-01-29       Impact factor: 2.240

Review 6.  Color Perception: Objects, Constancy, and Categories.

Authors:  Christoph Witzel; Karl R Gegenfurtner
Journal:  Annu Rev Vis Sci       Date:  2018-07-13       Impact factor: 6.422

7.  Variations in daylight as a contextual cue for estimating season, time of day, and weather conditions.

Authors:  Jeroen J M Granzier; Matteo Valsecchi
Journal:  J Vis       Date:  2014-01-24       Impact factor: 2.240

Review 8.  Visual perception and the statistical properties of natural scenes.

Authors:  Wilson S Geisler
Journal:  Annu Rev Psychol       Date:  2008       Impact factor: 24.137

9.  Variation of outdoor illumination as a function of solar elevation and light pollution.

Authors:  Manuel Spitschan; Geoffrey K Aguirre; David H Brainard; Alison M Sweeney
Journal:  Sci Rep       Date:  2016-06-07       Impact factor: 4.379

10.  A penalty on photosynthetic growth in fluctuating light.

Authors:  Percival J Graham; Brian Nguyen; Thomas Burdyny; David Sinton
Journal:  Sci Rep       Date:  2017-10-02       Impact factor: 4.379

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  1 in total

1.  Colour constancy failures expected in colourful environments.

Authors:  David H Foster; Adam Reeves
Journal:  Proc Biol Sci       Date:  2022-01-26       Impact factor: 5.349

  1 in total

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