Scene Articulation: Dependence of Illuminant Estimates on Number of Surfaces

Author:

Linnell Karina J1,Foster David H2

Affiliation:

1. Behavioural Brain Sciences, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK

2. Computational Neuroscience Group, Department of Optometry and Neuroscience, University of Manchester Institute of Science and Technology, Manchester M60 1QD, UK

Abstract

The ability of observers to detect changes in illuminant over two scenes containing different random samples of reflecting surfaces was determined in an experiment with Mondrian-like patterns containing different numbers of coloured patches. Performance was found to improve as the number of patches increased from 9 to 49. In principle, observers could have used space-average scene colour as the cue (‘grey-world’ hypothesis) or the colour of the brightest surface in the scene (‘bright-is-white’ hypothesis), as the two cues generally covary. In a second experiment, observers matched illuminants across different patterns in which the space-average cue and the brightest-patch cue were independently manipulated. The articulation of the patterns was varied: the number of patches increased from 49 (patch width 1 deg visual angle) to over 50 000 (patch width 0.03 deg), while the gamut of colours was held constant. Space-average colour was found to be the dominant cue with all patterns except for those with the largest patches.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Sensory Systems,Experimental and Cognitive Psychology,Ophthalmology

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