Literature DB >> 9291602

Color constancy in the nearly natural image. I. Asymmetric matches.

D H Brainard1, W A Brunt, J M Speigle.   

Abstract

Most empirical work on color constancy is based on simple laboratory models of natural viewing conditions. These typically consist of spots seen against uniform backgrounds or computer simulations of flat surfaces seen under spatially uniform illumination. We report measurements made under more natural viewing conditions. The experiments were conducted in a room where the illumination was under computer control. Observers used a projection colorimeter to set asymmetric color matches across a spatial illumination gradient. Observers' matches can be described by either of two simple models. One model posits gain control in one-specific pathways. This diagonal model may be linked to ideas about the action of early visual mechanisms. The other model posits that the observer estimates and corrects for changes in illumination but does so imperfectly. This equivalent illuminant model provides a link between human performance and computational models of color constancy.

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Year:  1997        PMID: 9291602     DOI: 10.1364/josaa.14.002091

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


  31 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.  The natural center of chromaticity space is not always achromatic: a new look at color induction.

Authors:  Vebjørn Ekroll; Franz Faul; Reinhard Niederée; Eike Richter
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-13       Impact factor: 11.205

3.  Chromatic light adaptation measured using functional magnetic resonance imaging.

Authors:  Alex R Wade; Brian A Wandell
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

4.  Color constancy in a naturalistic, goal-directed task.

Authors:  Ana Radonjic; Nicolas P Cottaris; David H Brainard
Journal:  J Vis       Date:  2015       Impact factor: 2.240

5.  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

6.  Colour constancy under simultaneous changes in surface position and illuminant.

Authors:  Kinjiro Amano; David H Foster
Journal:  Proc Biol Sci       Date:  2004-11-22       Impact factor: 5.349

Review 7.  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

8.  Bayesian model of human color constancy.

Authors:  David H Brainard; Philippe Longère; Peter B Delahunt; William T Freeman; James M Kraft; Bei Xiao
Journal:  J Vis       Date:  2006-11-06       Impact factor: 2.240

9.  Surface gloss and color perception of 3D objects.

Authors:  Bei Xiao; David H Brainard
Journal:  Vis Neurosci       Date:  2008 May-Jun       Impact factor: 3.241

10.  Mechanisms of color constancy under nearly natural viewing.

Authors:  J M Kraft; D H Brainard
Journal:  Proc Natl Acad Sci U S A       Date:  1999-01-05       Impact factor: 11.205

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