Literature DB >> 22959347

The perception and misperception of specular surface reflectance.

Phillip J Marlow1, Juno Kim, Barton L Anderson.   

Abstract

The amount and spectral content of the light reflected by most natural surfaces depends on the structure of the light field, the observer's viewing position, and 3D surface geometry, particularly for specular (glossy) surfaces. A growing body of data has demonstrated that perceived surface gloss can vary as a function of its 3D shape and its illumination field, but there is currently no explanation for these effects. Here, we show that the perception of gloss can be understood as a direct consequence of image properties that covary with surface geometry and the illumination field. We show that different illumination fields can generate qualitatively different patterns of interaction between perceived gloss and 3D surface geometry. Despite the complexity and variability of these interactions, we demonstrate that the perception (and misperception) of gloss is well predicted by the way that each illumination field modulates the size, contrast, sharpness, and depth of specular reflections. Our results provide a coherent explanation of the effects of extrinsic scene variables on perceived gloss, and our methods suggest a general technique for assessing the role of specific image properties in modulating our visual experience of material properties.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22959347     DOI: 10.1016/j.cub.2012.08.009

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  43 in total

1.  Perceptual transparency from image deformation.

Authors:  Takahiro Kawabe; Kazushi Maruya; Shin'ya Nishida
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

2.  Naturally glossy: Gloss perception, illumination statistics, and tone mapping.

Authors:  Wendy J Adams; Gizem Kucukoglu; Michael S Landy; Rafal K Mantiuk
Journal:  J Vis       Date:  2018-12-03       Impact factor: 2.240

3.  Frequency-based heuristics for material perception.

Authors:  Martin Giesel; Qasim Zaidi
Journal:  J Vis       Date:  2013-12-06       Impact factor: 2.240

4.  Visual discomfort and flicker.

Authors:  Sanae Yoshimoto; Jesel Garcia; Fang Jiang; Arnold J Wilkins; Tatsuto Takeuchi; Michael A Webster
Journal:  Vision Res       Date:  2017-07-21       Impact factor: 1.886

5.  Accuracy and speed of material categorization in real-world images.

Authors:  Lavanya Sharan; Ruth Rosenholtz; Edward H Adelson
Journal:  J Vis       Date:  2014-08-13       Impact factor: 2.240

6.  Perceptual gloss parameters are encoded by population responses in the monkey inferior temporal cortex.

Authors:  Akiko Nishio; Takeaki Shimokawa; Naokazu Goda; Hidehiko Komatsu
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

7.  Perception and misperception of surface opacity.

Authors:  Phillip J Marlow; Juno Kim; Barton L Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-12-11       Impact factor: 11.205

8.  Low levels of specularity support operational color constancy, particularly when surface and illumination geometry can be inferred.

Authors:  Robert J Lee; Hannah E Smithson
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2016-03       Impact factor: 2.129

Review 9.  Optimality and heuristics in perceptual neuroscience.

Authors:  Justin L Gardner
Journal:  Nat Neurosci       Date:  2019-02-25       Impact factor: 24.884

10.  Soft like velvet and shiny like satin: Perceptual material signatures of fabrics depicted in 17th century paintings.

Authors:  Francesca Di Cicco; Mitchell J P van Zuijlen; Maarten W A Wijntjes; Sylvia C Pont
Journal:  J Vis       Date:  2021-05-03       Impact factor: 2.240

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