Flexible color perception depending on the shape and positioning of achromatic contours

In this study, we present several demonstrations of color averaging between luminance boundaries. In each of the demonstrations, different black outlines are superimposed on one and the same colored surface. Whereas perception without these outlines comprises a blurry colored gradient, superimposing the outlines leads to a much clearer binary color percept, with different colors perceived on each side of the boundary. These demonstrations show that the color of the perceived surfaces is flexible, depending on the exact shape of the outlines that define the surface, and that different positioning of the outlines can lead to different, distinct color percepts. We argue that the principle of color averaging described here is crucial for the brain in building a useful model of the distal world, in which differences within object surfaces are perceptually minimized, while differences between surfaces are perceptually enhanced.

[1]  L. Pessoa,et al.  Filling-in: From perceptual completion to cortical reorganization. , 2003 .

[2]  S. Shevell,et al.  The role of luminance edges in misbinding of color to form , 2008, Vision Research.

[3]  Murat Kunt,et al.  Vision and Video: Models and Applications , 2001 .

[4]  Hong Zhou,et al.  Searching For The Neural Mechanism Of Color Filling-In , 2003 .

[5]  B. Pinna,et al.  Surface color from boundaries: a new ‘watercolor’ illusion , 2001, Vision Research.

[6]  Stuart Anstis,et al.  Luminance contours can gate afterimage colors and "real" colors. , 2012, Journal of vision.

[7]  Margaret S. Livingstone,et al.  Vision and Art: The Biology of Seeing , 2002 .

[8]  Stuart Anstis,et al.  Interactions between simultaneous contrast and coloured afterimages , 1978, Vision Research.

[9]  Stuart Anstis,et al.  Looking at two paintings at once: Luminance edges can gate colors , 2012, i-Perception.

[10]  D. Hubel,et al.  Spatial and chromatic interactions in the lateral geniculate body of the rhesus monkey. , 1966, Journal of neurophysiology.

[11]  Rob van Lier,et al.  Afterimage watercolors: an exploration of contour-based afterimage filling-in , 2013, Front. Psychol..

[12]  Masahiro Takei,et al.  Human resource development and visualization , 2009, J. Vis..

[13]  S. Grossberg,et al.  Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. , 1985, Psychological review.

[14]  S. Grossberg,et al.  Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. , 1985 .

[15]  R. L. Valois,et al.  Analysis of response patterns of LGN cells. , 1966, Journal of the Optical Society of America.

[16]  Stuart Anstis,et al.  Filling-in afterimage colors between the lines , 2009, Current Biology.

[17]  G. Francis,et al.  Color selection, color capture, and afterimage filling-in. , 2011, Journal of vision.

[18]  C. Wehrhahn,et al.  Evidence for the contribution of S cones to the detection of flicker brightness and red-green. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[19]  G. Francis Modeling filling-in of afterimages , 2010, Attention, perception & psychophysics.

[20]  Stephen Grossberg,et al.  Filling-in the Forms: Surface and Boundary Interactions in Visual Cortex , 1998 .

[21]  P. Matthews From neuron to brain. A cellular approach to the function of the nervous system, Stephen W. Kuffler, John G. Nichols, Sinauer Associates, Massachusetts. W. H. Freeman, Reading (1976), 486 pp + xiii, £13.20 cloth, £8.10 , 1977 .

[22]  NIGEL W. DAW,et al.  Why After-Images are not Seen in Normal Circumstances , 1962, Nature.

[23]  Nicholas J. Wade,et al.  Compound binocular rivalry , 1988, Vision Research.