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Image Statistics and the Fine Lines of Material Perception

We experience vivid percepts of objects and materials despite complexities in the way images are structured by the interaction of light with surface properties (3D shape, albedo, and gloss or specularity). Although the perception of gloss (and lightness) has been argued to depend on image statistics...

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Autores principales: Kim, Juno, Tan, Kairen, Chowdhury, Nahian S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030751/
https://www.ncbi.nlm.nih.gov/pubmed/27698976
http://dx.doi.org/10.1177/2041669516658047
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author Kim, Juno
Tan, Kairen
Chowdhury, Nahian S.
author_facet Kim, Juno
Tan, Kairen
Chowdhury, Nahian S.
author_sort Kim, Juno
collection PubMed
description We experience vivid percepts of objects and materials despite complexities in the way images are structured by the interaction of light with surface properties (3D shape, albedo, and gloss or specularity). Although the perception of gloss (and lightness) has been argued to depend on image statistics (e.g., sub-band skew), studies have shown that perceived gloss depends critically on the structure of luminance variations in images. Here, we found that separately adapting observers to either positive or negative skew generated declines in perceived gloss, contrary to the predictions of theories involving image statistics. We also found similar declines in perceived gloss following adaptation to contours geometrically correlated with sharp specular edges. We further found this aftereffect was stronger when contour adaptors were aligned with specular edges compared with adaptation to the same contours rotated by 90°. These findings support the view that the perception of gloss depends critically on the visual system’s ability to encode specular edge structure and not image skew.
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spelling pubmed-50307512016-10-03 Image Statistics and the Fine Lines of Material Perception Kim, Juno Tan, Kairen Chowdhury, Nahian S. Iperception Article We experience vivid percepts of objects and materials despite complexities in the way images are structured by the interaction of light with surface properties (3D shape, albedo, and gloss or specularity). Although the perception of gloss (and lightness) has been argued to depend on image statistics (e.g., sub-band skew), studies have shown that perceived gloss depends critically on the structure of luminance variations in images. Here, we found that separately adapting observers to either positive or negative skew generated declines in perceived gloss, contrary to the predictions of theories involving image statistics. We also found similar declines in perceived gloss following adaptation to contours geometrically correlated with sharp specular edges. We further found this aftereffect was stronger when contour adaptors were aligned with specular edges compared with adaptation to the same contours rotated by 90°. These findings support the view that the perception of gloss depends critically on the visual system’s ability to encode specular edge structure and not image skew. SAGE Publications 2016-07-14 /pmc/articles/PMC5030751/ /pubmed/27698976 http://dx.doi.org/10.1177/2041669516658047 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Kim, Juno
Tan, Kairen
Chowdhury, Nahian S.
Image Statistics and the Fine Lines of Material Perception
title Image Statistics and the Fine Lines of Material Perception
title_full Image Statistics and the Fine Lines of Material Perception
title_fullStr Image Statistics and the Fine Lines of Material Perception
title_full_unstemmed Image Statistics and the Fine Lines of Material Perception
title_short Image Statistics and the Fine Lines of Material Perception
title_sort image statistics and the fine lines of material perception
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030751/
https://www.ncbi.nlm.nih.gov/pubmed/27698976
http://dx.doi.org/10.1177/2041669516658047
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