A computational analysis of colour constancy
暂无分享,去创建一个
[1] C. von Campenhausen. Photoreceptors, lightness constancy and color vision. , 1986, Die Naturwissenschaften.
[2] D. Macleod,et al. Color appearance depends on the variance of surround colors , 1997, Current Biology.
[3] E. Land,et al. Lightness and retinex theory. , 1971, Journal of the Optical Society of America.
[4] Parry Moon,et al. Polynomial Representation of Reflectance Curves , 1945 .
[5] D. Macleod,et al. Spectral sensitivities of the human cones. , 1993, Journal of the Optical Society of America. A, Optics, image science, and vision.
[6] D. Macleod,et al. Receptoral Constraints on Colour Appearance , 1985 .
[7] Rainer Mausfeld. Color Perception: From Grassmann Codes to a Dual Code for Object and Illumination Colors , 1998 .
[8] H. Helson,et al. Fundamental problems in color vision. II. Hue, lightness, and saturation of selective samples in chromatic illumination , 1940 .
[9] G. Buchsbaum. A spatial processor model for object colour perception , 1980 .
[10] B. Wandell,et al. Asymmetric color matching: how color appearance depends on the illuminant. , 1992, Journal of the Optical Society of America. A, Optics and image science.
[11] 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.
[12] David Williams,et al. A visual nonlinearity fed by single cones , 1992, Vision Research.
[13] R. Weale. Vision. A Computational Investigation Into the Human Representation and Processing of Visual Information. David Marr , 1983 .
[14] T. Troscianko,et al. AI and the eye , 1990 .
[15] D H Brainard,et al. Color constancy in the nearly natural image. I. Asymmetric matches. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.
[16] W. Cowan,et al. Changes in perceived color due to chromatic interactions , 1982, Vision Research.
[17] Roger N. Shepard,et al. The perceptual organization of colors: An adaptation to regularities of the terrestrial world? , 1992 .
[18] A. Gilchrist,et al. Lightness constancy through a veiling luminance. , 1983, Journal of experimental psychology. Human perception and performance.
[19] D. Ruderman,et al. Statistics of cone responses to natural images: implications for visual coding , 1998 .
[20] B. Wandell,et al. Photoreceptor sensitivity changes explain color appearance shifts induced by large uniform backgrounds in dichoptic matching , 1995, Vision Research.
[21] Vincent Walsh,et al. Perceptual Constancy: why things look as they do , 1998 .
[22] M. H. Brill,et al. A device performing illuminant-invariant assessment of chromatic relations. , 1978, Journal of theoretical biology.
[23] James L. Dannemiller,et al. Rank orderings of photoreceptor photon catches from natural objects are nearly illuminant-invariant , 1993, Vision Research.
[24] H. Helson. Fundamental problems in color vision. I. The principle governing changes in hue, saturation, and lightness of non-selective samples in chromatic illumination. , 1938 .
[25] L. Cosmides,et al. The Adapted Mind , 1992 .
[26] D. Foster,et al. Relational colour constancy from invariant cone-excitation ratios , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[27] D H Brainard,et al. Bayesian color constancy. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.
[28] R. M. Boynton,et al. Chromaticity diagram showing cone excitation by stimuli of equal luminance. , 1979, Journal of the Optical Society of America.
[29] Steven K. Shevell,et al. Color appearance with sparse chromatic context , 1995, Vision Research.
[30] Gunther Wyszecki,et al. Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .
[31] D. Foster,et al. Detecting natural changes of cone–excitation ratios in simple and complex coloured images , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[32] P. Cz.. Handbuch der physiologischen Optik , 1896 .