Relational colour constancy from invariant cone-excitation ratios

Quantitative measurements of perceptual colour constancy show that human observers have a limited and variable ability to match coloured surfaces in scenes illuminated by different light sources. Observers can, however, make fast and reliable discriminations between changes in illuminant and changes in the reflecting properties of scenes, a discriminative ability that might be based on a visual coding of spatial colour relations. This coding could be provided by the ratios of cone-photoreceptor excitations produced by light from different surfaces: for a large class of pigmented surfaces and for surfaces with random spectral reflectances, these ratios are statistically almost invariant under changes in illumination by light from the sun and sky or from a planckian radiator. Cone-excitation ratios offer a possible, although not necessarily unique, basis for perceptual colour constancy in so far as it concerns colour relations.

[1]  Thomas Young,et al.  A course of lectures on natural philosophy and the mechanical arts. By Thomas Young. , 1807 .

[2]  D. B. Judd Hue Saturation and Lightness of Surface Colors with Chromatic Illumination , 1940 .

[3]  H. Helson,et al.  Fundamental problems in color vision. II. Hue, lightness, and saturation of selective samples in chromatic illumination , 1940 .

[4]  E H Land,et al.  COLOR VISION AND THE NATURAL IMAGE PART II. , 1959, Proceedings of the National Academy of Sciences of the United States of America.

[5]  D. B. Judd,et al.  Spectral Distribution of Typical Daylight as a Function of Correlated Color Temperature , 1964 .

[6]  T. Young,et al.  A Course of Lectures on Natural Philosophy and the Mechanical Arts , 2010 .

[7]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[8]  J. Pokorny,et al.  Spectral sensitivity of color-blind observers and the cone photopigments. , 1972, Vision research.

[9]  J. Pokorny,et al.  Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm , 1975, Vision Research.

[10]  S. McKee,et al.  Quantitative studies in retinex theory a comparison between theoretical predictions and observer responses to the “color mondrian” experiments , 1976, Vision Research.

[11]  G West,et al.  Color perception and the limits of color constancy , 1979, Journal of mathematical biology.

[12]  G. Buchsbaum A spatial processor model for object colour perception , 1980 .

[13]  M. H. Brill,et al.  Contributions to the theory of invariance of color under the condition of varying illumination , 1981 .

[14]  M. H. Brill,et al.  Necessary and sufficient conditions for Von Kries chromatic adaptation to give color constancy , 1982, Journal of mathematical biology.

[15]  H. Barlow What causes trichromacy? A theoretical analysis using comb-filtered spectra , 1982, Vision Research.

[16]  S. Zeki Colour coding in the cerebral cortex: The reaction of cells in monkey visual cortex to wavelengths and colours , 1983, Neuroscience.

[17]  S. Zeki Colour coding in the cerebral cortex: The responses of wavelength-selective and colour-coded cells in monkey visual cortex to changes in wavelength composition , 1983, Neuroscience.

[18]  G. Buchsbaum,et al.  Chromaticity coordinates of frequency-limited functions. , 1984, Journal of the Optical Society of America. A, Optics and image science.

[19]  J. A. Worthey Limitations of color constancy , 1985 .

[20]  L. Arend,et al.  Simultaneous color constancy. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[21]  Michael H. Brill,et al.  Chromatic adaptation and color constancy: A possible dichotomy , 1986 .

[22]  M D'Zmura,et al.  Mechanisms of color constancy. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[23]  L. Maloney,et al.  Color constancy: a method for recovering surface spectral reflectance. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[24]  M. H. Brill,et al.  Heuristic analysis of von Kries color constancy. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[25]  A Hurlbert,et al.  Formal connections between lightness algorithms. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[26]  L. Maloney Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[27]  Tomaso Poggio,et al.  Synthesizing a color algorithm from examples , 1988 .

[28]  G. Buchsbaum,et al.  Quantitative studies of color constancy. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[29]  J. Parkkinen,et al.  Characteristic spectra of Munsell colors , 1989 .

[30]  J L Dannemiller,et al.  Computational approaches to color constancy: adaptive and ontogenetic considerations. , 1989, Psychological review.

[31]  D. Jameson,et al.  Essay concerning color constancy. , 1989, Annual review of psychology.

[32]  A. Valberg,et al.  “Colour constancy” in Mondrian patterns: A partial cancellation of physical chromaticity shifts by simultaneous contrast , 1990, Vision Research.

[33]  Jussi Parkkinen,et al.  Vector-subspace model for color representation , 1990 .

[34]  R. Hunt Revised colour‐appearance model for related and unrelated colours , 1991 .

[35]  C. D. Weert,et al.  Naming versus matching in color constancy , 1991, Perception & psychophysics.

[36]  Adam Reeves,et al.  Areas of ignorance and confusion in color science , 1992, Behavioral and Brain Sciences.

[37]  Andrew Zisserman,et al.  Geometric invariance in computer vision , 1992 .

[38]  B J Craven,et al.  Immediate colour constancy , 1992, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[39]  David H. Foster,et al.  An operational approach to colour constancy , 1992, Vision Research.

[40]  Laurence T. Maloney,et al.  Color constancy and color perception: the linear-models framework , 1993 .

[41]  J. Kulikowski,et al.  Lesions of Primate Visual Area V4 Produce Long-Lasting Deficits to Color Constancy , 1992 .

[42]  F. E. Collis,et al.  Geometric Invariance in Computer Vision edited by Joseph L. Mundy and Andrew Zisserman, The MIT Press, Cambridge, Massachusetts, 540 pages, incl. index (£44.95) , 1993, Robotica.

[43]  James L. Dannemiller,et al.  Rank orderings of photoreceptor photon catches from natural objects are nearly illuminant-invariant , 1993, Vision Research.

[44]  Color Constancy and Color Perception , 1993 .

[45]  M. D'Zmura,et al.  Color constancy. I. Basic theory of two-stage linear recovery of spectral descriptions for lights and surfaces. , 1993, Journal of the Optical Society of America. A, Optics, image science, and vision.

[46]  J. H. Hateren Spatial, temporal and spectral pre-processing for colour vision , 1993 .

[47]  Michael H. Brill,et al.  The relation between the color of the illuminant and the color of the illuminated object , 1995 .