Distinguishing mirror from glass: A “big data” approach to material perception-Reference-Cited by-同舟云学术

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Distinguishing mirror from glass: A “big data” approach to material perception

Published:2022-03-29 Issue:4 Volume:22 Page:4
ISSN:1534-7362
Container-title:Journal of Vision
language:en
Short-container-title:Journal of Vision

Author:

Tamura Hideki¹²,Prokott Konrad Eugen³⁴,Fleming Roland W.³⁵⁶

Affiliation:

1. Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan

2. tamura@cs.tut.ac.jp

3. Department of Experimental Psychology, Justus Liebig University Giessen, Giessen, Germany

4. konrad.e.prokott@psychol.uni-giessen.de

5. Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Germany

6. roland.w.fleming@psychol.uni-giessen.de

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Sensory Systems,Ophthalmology

Reference82 articles.

1. The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude;Adams;Scientific Reports,,2016

2. Naturally glossy: Gloss perception, illumination statistics, and tone mapping;Adams;Journal of Vision,,2018

3. Image statistics do not explain the perception of gloss and lightness;Anderson;Journal of Vision,,2009

4. A summary-statistic representation in peripheral vision explains visual crowding;Balas;Journal of Vision,,2009

5. Highlights and the perception of glossiness;Beck;Perception & Psychophysics,,1981

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