Layered image representations and the computation of surface lightness

Barton L. Anderson, Jonathan Winawer

Research output: Contribution to journalArticle

Abstract

A fundamental goal of research in the perception of surfaces is to understand the nature of the computations and representations underlying lightness perception. A significant challenge posed to the visual system is recovering surface lightness from the multiple physical causes that contribute to image luminance. One view asserts that the visual system decomposes the image into estimates of illumination, lightness, and transparency, generating layered image representations. More recent views have questioned the need to posit layered representations to explain lightness perception. Here, a number of demonstrations and experiments involving the perception of transparency are presented that reveal a critical role played by layered image representations in the computation of surface lightness. We provide new evidence demonstrating that the contrast relationships along contours can play a decisive role in determining whether images are decomposed into multiple layers, and that the constraints that regulate how this decomposition occurs can have a dramatic influence on perceived lightness.

Original languageEnglish (US)
Article number18
JournalJournal of Vision
Volume8
Issue number7
DOIs
StatePublished - Jul 7 2008

Fingerprint

Lighting
Research

Keywords

  • Depth
  • Lightness/brightness perception
  • Perceptual organization

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

Cite this

Layered image representations and the computation of surface lightness. / Anderson, Barton L.; Winawer, Jonathan.

In: Journal of Vision, Vol. 8, No. 7, 18, 07.07.2008.

Research output: Contribution to journalArticle

Anderson, Barton L. ; Winawer, Jonathan. / Layered image representations and the computation of surface lightness. In: Journal of Vision. 2008 ; Vol. 8, No. 7.
@article{b22ca753cf9e4bb4b90935dccc6b9579,
title = "Layered image representations and the computation of surface lightness",
abstract = "A fundamental goal of research in the perception of surfaces is to understand the nature of the computations and representations underlying lightness perception. A significant challenge posed to the visual system is recovering surface lightness from the multiple physical causes that contribute to image luminance. One view asserts that the visual system decomposes the image into estimates of illumination, lightness, and transparency, generating layered image representations. More recent views have questioned the need to posit layered representations to explain lightness perception. Here, a number of demonstrations and experiments involving the perception of transparency are presented that reveal a critical role played by layered image representations in the computation of surface lightness. We provide new evidence demonstrating that the contrast relationships along contours can play a decisive role in determining whether images are decomposed into multiple layers, and that the constraints that regulate how this decomposition occurs can have a dramatic influence on perceived lightness.",
keywords = "Depth, Lightness/brightness perception, Perceptual organization",
author = "Anderson, {Barton L.} and Jonathan Winawer",
year = "2008",
month = "7",
day = "7",
doi = "10.1167/8.7.18",
language = "English (US)",
volume = "8",
journal = "Journal of Vision",
issn = "1534-7362",
publisher = "Association for Research in Vision and Ophthalmology Inc.",
number = "7",

}

TY - JOUR

T1 - Layered image representations and the computation of surface lightness

AU - Anderson, Barton L.

AU - Winawer, Jonathan

PY - 2008/7/7

Y1 - 2008/7/7

N2 - A fundamental goal of research in the perception of surfaces is to understand the nature of the computations and representations underlying lightness perception. A significant challenge posed to the visual system is recovering surface lightness from the multiple physical causes that contribute to image luminance. One view asserts that the visual system decomposes the image into estimates of illumination, lightness, and transparency, generating layered image representations. More recent views have questioned the need to posit layered representations to explain lightness perception. Here, a number of demonstrations and experiments involving the perception of transparency are presented that reveal a critical role played by layered image representations in the computation of surface lightness. We provide new evidence demonstrating that the contrast relationships along contours can play a decisive role in determining whether images are decomposed into multiple layers, and that the constraints that regulate how this decomposition occurs can have a dramatic influence on perceived lightness.

AB - A fundamental goal of research in the perception of surfaces is to understand the nature of the computations and representations underlying lightness perception. A significant challenge posed to the visual system is recovering surface lightness from the multiple physical causes that contribute to image luminance. One view asserts that the visual system decomposes the image into estimates of illumination, lightness, and transparency, generating layered image representations. More recent views have questioned the need to posit layered representations to explain lightness perception. Here, a number of demonstrations and experiments involving the perception of transparency are presented that reveal a critical role played by layered image representations in the computation of surface lightness. We provide new evidence demonstrating that the contrast relationships along contours can play a decisive role in determining whether images are decomposed into multiple layers, and that the constraints that regulate how this decomposition occurs can have a dramatic influence on perceived lightness.

KW - Depth

KW - Lightness/brightness perception

KW - Perceptual organization

UR - http://www.scopus.com/inward/record.url?scp=46749124705&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=46749124705&partnerID=8YFLogxK

U2 - 10.1167/8.7.18

DO - 10.1167/8.7.18

M3 - Article

C2 - 19146251

AN - SCOPUS:46749124705

VL - 8

JO - Journal of Vision

JF - Journal of Vision

SN - 1534-7362

IS - 7

M1 - 18

ER -