Literature DB >> 30508429

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

Wendy J Adams1, Gizem Kucukoglu2, Michael S Landy2,3, Rafal K Mantiuk4.   

Abstract

Recognizing materials and understanding their properties is very useful-perhaps critical-in daily life as we encounter objects and plan our interactions with them. Visually derived estimates of material properties guide where and with what force we grasp an object. However, the estimation of material properties, such as glossiness, is a classic ill-posed problem. Image cues that we rely on to estimate gloss are also affected by shape, illumination and, in visual displays, tone-mapping. Here, we focus on the latter two. We define some commonalities present in the structure of natural illumination, and determine whether manipulation of these natural "signatures" impedes gloss constancy. We manipulate the illumination field to violate statistical regularities of natural illumination, such that light comes from below, or the luminance distribution is no longer skewed. These manipulations result in errors in perceived gloss. Similarly, tone mapping has a dramatic effect on perceived gloss. However, when objects are viewed against an informative (rather than plain gray) background that reflects these manipulations, there are some improvements to gloss constancy: in particular, observers are far less susceptible to the effects of tone mapping when judging gloss. We suggest that observers are sensitive to some very simple statistics of the environment when judging gloss.

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Mesh:

Year:  2018        PMID: 30508429      PMCID: PMC6279370          DOI: 10.1167/18.13.4

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  37 in total

1.  Interaction of visual prior constraints.

Authors:  P Mamassian; M S Landy
Journal:  Vision Res       Date:  2001-09       Impact factor: 1.886

2.  Disparity, motion, and color information improve gloss constancy performance.

Authors:  Gunnar Wendt; Franz Faul; Vebjørn Ekroll; Rainer Mausfeld
Journal:  J Vis       Date:  2010-09-01       Impact factor: 2.240

3.  Image statistics and the perception of surface gloss and lightness.

Authors:  Juno Kim; Barton L Anderson
Journal:  J Vis       Date:  2010-07-01       Impact factor: 2.240

4.  Illumination estimation in three-dimensional scenes with and without specular cues.

Authors:  Jacqueline Leigh Snyder; Katja Doerschner; Laurence T Maloney
Journal:  J Vis       Date:  2005-12-15       Impact factor: 2.240

5.  Image statistics and the perception of surface qualities.

Authors:  Isamu Motoyoshi; Shin'ya Nishida; Lavanya Sharan; Edward H Adelson
Journal:  Nature       Date:  2007-04-18       Impact factor: 49.962

6.  Conjoint measurement of gloss and surface texture.

Authors:  Yun-Xian Ho; Michael S Landy; Laurence T Maloney
Journal:  Psychol Sci       Date:  2008-02

7.  Coupled computations of three-dimensional shape and material.

Authors:  Phillip J Marlow; Dejan Todorović; Barton L Anderson
Journal:  Curr Biol       Date:  2015-03-16       Impact factor: 10.834

8.  Relations between the statistics of natural images and the response properties of cortical cells.

Authors:  D J Field
Journal:  J Opt Soc Am A       Date:  1987-12       Impact factor: 2.129

9.  Attached-shadow orientation perceived as depth by chickens reared in an environment illuminated from below.

Authors:  W Hershberger
Journal:  J Comp Physiol Psychol       Date:  1970-12

10.  The Southampton-York Natural Scenes (SYNS) dataset: Statistics of surface attitude.

Authors:  Wendy J Adams; James H Elder; Erich W Graf; Julian Leyland; Arthur J Lugtigheid; Alexander Muryy
Journal:  Sci Rep       Date:  2016-10-26       Impact factor: 4.379

View more
  5 in total

1.  Effects of light map orientation and shape on the visual perception of canonical materials.

Authors:  Fan Zhang; Huib de Ridder; Pascal Barla; Sylvia Pont
Journal:  J Vis       Date:  2020-04-09       Impact factor: 2.240

2.  If painters give you lemons, squeeze the knowledge out of them. A study on the visual perception of the translucent and juicy appearance of citrus fruits in paintings.

Authors:  Francesca Di Cicco; Maarten W A Wijntjes; Sylvia C Pont
Journal:  J Vis       Date:  2020-12-02       Impact factor: 2.240

3.  Distinguishing mirror from glass: A "big data" approach to material perception.

Authors:  Hideki Tamura; Konrad Eugen Prokott; Roland W Fleming
Journal:  J Vis       Date:  2022-03-02       Impact factor: 2.240

4.  Effects of illumination on the categorization of shiny materials.

Authors:  J Farley Norman; James T Todd; Flip Phillips
Journal:  J Vis       Date:  2020-05-11       Impact factor: 2.240

5.  Unsupervised learning predicts human perception and misperception of gloss.

Authors:  Katherine R Storrs; Barton L Anderson; Roland W Fleming
Journal:  Nat Hum Behav       Date:  2021-05-06
  5 in total

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