Literature DB >> 18479723

Perceiving light versus material.

Frederick A A Kingdom1.   

Abstract

Humans rarely confuse variations in light intensity, such as shadows, shading, light sources and specular reflections, from variations in material properties, such as albedo or pigment. This review explores the cues, or regularities in the visual world that evidence suggests vision exploits to discriminate light from material. These cues include luminance relations, figural relations, 3D-shape, depth, colour, texture, and motion. On the basis of an examination of the cues together with the behavioural evidence that they are used by vision, I propose a set of heuristics that may guide vision in the task of distinguishing between light and material. I argue that while there is evidence for the use of these heuristics, little is known about their relative importance and the manner in which they are combined in naturalistic situations where there are multiple cues as to what is light and what is material. Finally, I discuss two theoretical frameworks, the generic view principle and Bayesian estimation, that are beginning to help us understand the visual processes involved in distinguishing between light and material.

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Mesh:

Year:  2008        PMID: 18479723     DOI: 10.1016/j.visres.2008.03.020

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  10 in total

1.  Reduced sensitivity for visual textures affects judgments of shape-from-shading and step-climbing behaviour in older adults.

Authors:  Andrew J Schofield; Benjamin Curzon-Jones; Mark A Hollands
Journal:  Exp Brain Res       Date:  2016-11-05       Impact factor: 1.972

2.  Colour, contours, shading and shape: flow interactions reveal anchor neighbourhoods.

Authors:  Benjamin Kunsberg; Daniel Holtmann-Rice; Emma Alexander; Steven Cholewiak; Roland Fleming; Steven W Zucker
Journal:  Interface Focus       Date:  2018-06-15       Impact factor: 3.906

3.  Lightness Constancy in Surface Visualization.

Authors:  Danielle Albers Szafir; Alper Sarikaya; Michael Gleicher
Journal:  IEEE Trans Vis Comput Graph       Date:  2015-11-12       Impact factor: 4.579

4.  Dealing with illumination in visual scenes: effects of ageing and Alzheimer's disease.

Authors:  Gillian Porter; Ute Leonards; Tom Troscianko; Judy Haworth; Antony Bayer; Andrea Tales
Journal:  PLoS One       Date:  2012-09-24       Impact factor: 3.240

5.  A unified account of perceptual layering and surface appearance in terms of gamut relativity.

Authors:  Tony Vladusich; Mark D McDonnell
Journal:  PLoS One       Date:  2014-11-17       Impact factor: 3.240

6.  Texture variations suppress suprathreshold brightness and colour variations.

Authors:  Andrew J Schofield; Frederick A A Kingdom
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

7.  Distinguishing shadows from surface boundaries using local achromatic cues.

Authors:  Christopher DiMattina; Josiah J Burnham; Betul N Guner; Haley B Yerxa
Journal:  PLoS Comput Biol       Date:  2022-09-14       Impact factor: 4.779

8.  Perceptual learning of second order cues for layer decomposition.

Authors:  Dicle N Dövencioğlu; Andrew E Welchman; Andrew J Schofield
Journal:  Vision Res       Date:  2012-11-28       Impact factor: 1.886

9.  Color improves edge classification in human vision.

Authors:  Camille Breuil; Ben J Jennings; Simon Barthelmé; Nathalie Guyader; Frederick A A Kingdom
Journal:  PLoS Comput Biol       Date:  2019-10-18       Impact factor: 4.475

10.  Color ensembles: Sampling and averaging spatial hue distributions.

Authors:  Lari S Virtanen; Maria Olkkonen; Toni P Saarela
Journal:  J Vis       Date:  2020-05-11       Impact factor: 2.240

  10 in total

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