Increasing the Complexity of the Illumination May Reduce Gloss Constancy

We examined in which way gradual changes in the geometric structure of the illumination affect the perceived glossiness of a surface. The test stimuli were computer-generated three-dimensional scenes with a single test object that was illuminated by three point light sources, whose relative position...

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Main Authors: Gunnar Wendt, Franz Faul
Format: Article
Language:English
Published: SAGE Publishing 2017-12-01
Series:i-Perception
Online Access:https://doi.org/10.1177/2041669517740369
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spelling doaj-affb6c2f09004057a266770580a2ced82020-11-25T03:45:23ZengSAGE Publishingi-Perception2041-66952017-12-01810.1177/2041669517740369Increasing the Complexity of the Illumination May Reduce Gloss ConstancyGunnar WendtFranz FaulWe examined in which way gradual changes in the geometric structure of the illumination affect the perceived glossiness of a surface. The test stimuli were computer-generated three-dimensional scenes with a single test object that was illuminated by three point light sources, whose relative positions in space were systematically varied. In the first experiment, the subjects were asked to adjust the microscale smoothness of a match object illuminated by a single light source such that it has the same perceived glossiness as the test stimulus. We found that small changes in the structure of the light field can induce dramatic changes in perceived glossiness and that this effect is modulated by the microscale smoothness of the test object. The results of a second experiment indicate that the degree of overlap of nearby highlights plays a major role in this effect: Whenever the degree of overlap in a group of highlights is so large that they perceptually merge into a single highlight, the glossiness of the surface is systematically underestimated. In addition, we examined the predictability of the smoothness settings by a linear model that is based on a set of four different global image statistics.https://doi.org/10.1177/2041669517740369
collection DOAJ
language English
format Article
sources DOAJ
author Gunnar Wendt
Franz Faul
spellingShingle Gunnar Wendt
Franz Faul
Increasing the Complexity of the Illumination May Reduce Gloss Constancy
i-Perception
author_facet Gunnar Wendt
Franz Faul
author_sort Gunnar Wendt
title Increasing the Complexity of the Illumination May Reduce Gloss Constancy
title_short Increasing the Complexity of the Illumination May Reduce Gloss Constancy
title_full Increasing the Complexity of the Illumination May Reduce Gloss Constancy
title_fullStr Increasing the Complexity of the Illumination May Reduce Gloss Constancy
title_full_unstemmed Increasing the Complexity of the Illumination May Reduce Gloss Constancy
title_sort increasing the complexity of the illumination may reduce gloss constancy
publisher SAGE Publishing
series i-Perception
issn 2041-6695
publishDate 2017-12-01
description We examined in which way gradual changes in the geometric structure of the illumination affect the perceived glossiness of a surface. The test stimuli were computer-generated three-dimensional scenes with a single test object that was illuminated by three point light sources, whose relative positions in space were systematically varied. In the first experiment, the subjects were asked to adjust the microscale smoothness of a match object illuminated by a single light source such that it has the same perceived glossiness as the test stimulus. We found that small changes in the structure of the light field can induce dramatic changes in perceived glossiness and that this effect is modulated by the microscale smoothness of the test object. The results of a second experiment indicate that the degree of overlap of nearby highlights plays a major role in this effect: Whenever the degree of overlap in a group of highlights is so large that they perceptually merge into a single highlight, the glossiness of the surface is systematically underestimated. In addition, we examined the predictability of the smoothness settings by a linear model that is based on a set of four different global image statistics.
url https://doi.org/10.1177/2041669517740369
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