Literature DB >> 9316275

Color constancy in variegated scenes: role of low-level mechanisms in discounting illumination changes.

Q Zaidi1, B Spehar, J DeBonet.   

Abstract

For a visual system to possess color constancy across varying illumination, chromatic signals from a scene must remain constant at some neural stage. We found that photoreceptor and opponent-color signals from a large sample of natural and man-made objects under one kind of natural daylight were almost perfectly correlated with the signals from those objects under every other spectrally different phase of daylight. Consequently, in scenes consisting of many objects, the effect of illumination changes on specific color mechanisms can be simulated by shifting all chromaticities by an additive or multiplicative constant along a theoretical axis. When the effect of the illuminant change was restricted to specific color mechanisms, thresholds for detecting a change in the colors in a scene were significantly elevated in the presence of spatial variations along the same chromatic axis as the simulated chromaticity shift. In a variegated scene, correlations between spatially local chromatic signals across illuminants, and the desensitization caused by eye movements across spatial variations, help the visual system to attenuate the perceptual effects that are due to changes in illumination.

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Mesh:

Year:  1997        PMID: 9316275     DOI: 10.1364/josaa.14.002608

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  18 in total

1.  Parallel detection of violations of color constancy.

Authors:  D H Foster; S M Nascimento; K Amano; L Arend; K J Linnell; J L Nieves; S Plet; J S Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-03       Impact factor: 11.205

2.  Slow updating of the achromatic point after a change in illumination.

Authors:  Robert J Lee; Kathryn A Dawson; Hannah E Smithson
Journal:  J Vis       Date:  2012-01-24       Impact factor: 2.240

Review 3.  Sensory, computational and cognitive components of human colour constancy.

Authors:  H E Smithson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-06-29       Impact factor: 6.237

4.  Colour constancy in insects.

Authors:  Lars Chittka; Samia Faruq; Peter Skorupski; Annette Werner
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2014-03-20       Impact factor: 1.836

5.  Color constancy in natural scenes explained by global image statistics.

Authors:  David H Foster; Kinjiro Amano; Sérgio M C Nascimento
Journal:  Vis Neurosci       Date:  2006 May-Aug       Impact factor: 3.241

6.  Context-dependent judgments of color that might allow color constancy in scenes with multiple regions of illumination.

Authors:  R J Lee; H E Smithson
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-02-01       Impact factor: 2.129

7.  Auditory color constancy: calibration to reliable spectral properties across nonspeech context and targets.

Authors:  Christian E Stilp; Joshua M Alexander; Michael Kiefte; Keith R Kluender
Journal:  Atten Percept Psychophys       Date:  2010-02       Impact factor: 2.199

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

9.  Color strategies for object identification.

Authors:  Qasim Zaidi; Marques Bostic
Journal:  Vision Res       Date:  2008-08-09       Impact factor: 1.886

10.  Color constancy: phenomenal or projective?

Authors:  Adam J Reeves; Kinjiro Amano; David H Foster
Journal:  Percept Psychophys       Date:  2008-02
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