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Color Constancy

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References

  1. Adelson, E.H.: Lightness perception and lightness illusions. In: The New Cognitive Neurosciences, p. 339. MIT Press, Cambridge, MA (2000). Retrieved from http://www.cs.tau.ac.il/~hezy/Vision Seminar/Lightness Perception and Lightness Illusions.htm

  2. Arend, L., Reeves, A.: Simultaneous color constancy. J. Opt. Soc. Am. A. 3(10), 1743–1751 (1986). Retrieved from http://www.opticsinfobase.org/abstract.cfm?&id=2483

  3. Barnard, K., Martin, L., Funt, B., Coath, A.: A data set for color research. Color Res. Appl. 27(3), 147–151 (2002). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.3.4123&rep=rep1&type=pdf

  4. Bianco, S., Schettini, R.: Computational color constancy In: Visual Information Processing (EUVIP), 2011 3rd European Workshop on, Paris, 4–6 July 2011, pp. 1–7. IEEE (2011) . doi:10.1109/EuVIP.2011.6045557

    Google Scholar 

  5. Bianco, S., Schettini, R.: Color constancy using faces. In: Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on Biometrics Compendium, IEEE (2012)

    Google Scholar 

  6. Bianco, S., Ciocca, G., Cusano, C., Schettini, R.: Improving color constancy using indoor − outdoor image classification. IEEE Trans. Image Process. 17(12), 2381–2392 (2008). Retrieved from http://www.ivl.disco.unimib.it/publications/pdf/bianco2008improving-color.pdf

  7. Bloj, M.G., Kersten, D., Hurlbert, A.C.: Perception of three-dimensional shape influences colour perception through mutual illumination. Nature 402(6764), 877–879 (1999). Retrieved from http://www.nature.com/nature/journal/v402/n6764/abs/402877a0.html

  8. Bloj, M., Ripamonti, C., Mitha, K., Hauck, R., Greenwald, S., Brainard, D.H.: An equivalent illuminant model for the effect of surface slant on perceived lightness. J. Vis. 4(9), 735–746 (2004). doi:10.1167/4.9.6

    Article  Google Scholar 

  9. Bloj, M.G., Hurlbert, A.C.: An empirical study of the traditional Mach card effect. Perception Lond. 31(2), 233–246 (2002). Retrieved from http://www.perceptionjournal.com/perception/fulltext/p31/p01sp.pdf

  10. Boyaci H, Maloney LT, Hersh S. The effect of perceived surface orientation on perceived surface albedo in binocularly viewed scenes. J Vis. 2003;3(8):541-553. Epub 2003 Sep 25

    Article  Google Scholar 

  11. Boyaci, H., Doerschner, K., Maloney, L.T.: Perceived surface color in binocularly viewed scenes with two light sources differing in chromaticity. J. Vis. 4(9) (2004). Retrieved from http://ww.journalofvision.org/content/4/9/1.full

  12. Boyaci, H., Doerschner, K., Snyder, J., Maloney, L.: Surface color perception in three-dimensional scenes. Vis. Neurosci. 23(3/4), 311 (2006). Retrieved from http://www.bilkent.edu.tr/~hboyaci/Vision/Boyaci_Doerschner_Snyder_Maloney_VisNeuro_2006.pdf

  13. Brainard, D.H.: Color constancy in the nearly natural image. 2. Achromatic loci. J. Opt. Soc. Am. A 15(2), 307–325 (1998). Retrieved from http://www.opticsinfobase.org/viewmedia.cfm?URI=josaa-15-2-307&seq=0

  14. Brainard, D.H.: Color constancy. In: The Visual Neurosciences, vol. 1, pp. 948–961. MIT Press, Cambridge, MA (2004). Retrieved from http://www.cns.nyu.edu/csh04/Articles/Brainard-02.pdf

  15. Brainard, D.H., Freeman, W.T.: Bayesian color constancy. J. Opt. Soc. Am. A 14(7), 1393–1411 (1997). Retrieved from http://www.opticsinfobase.org/viewmedia.cfm?uri=josaa-14-7-1393&seq=0

  16. Brainard, D.H., Radonjić, A.: Color constancy. In: Werner, J.S., Chalupa, L.M. (eds.) The New Visual Neuroscience, pp. 545–556. MIT Press, Cambridge (2013)

    Google Scholar 

  17. Brainard, D.H., Stockman, A.: Colorimetry. (1995). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.3027

  18. Brainard, D.H., Stockman, A.: Colorimetry. In: Bass, M. (ed.) OSA Handbook of Optics. McGraw-Hill, New York (2010)

    Google Scholar 

  19. Brainard, D.H., Wandell, B.A.: Analysis of the retinex theory of color vision. J. Opt. Soc. Am. A. 3(10), 1651–1661 (1986). Retrieved from http://www.opticsinfobase.org/viewmedia.cfm?URI=josaa-3-10-1651&seq=0

  20. Brainard, D.H., Wandell, B.A.: A bilinear model of the illuminant’s effect on color appearance. In: Computational Models of Visual Processing, pp. 171–186. MIT Press, Cambridge, MA (1991)

    Google Scholar 

  21. Brainard, D.H., Brunt, W.A., Speigle, J.M.: Color constancy in the nearly natural image I. Asymmetric matches. J Opt Soc Am A Opt Image Sci Vis 14(9), 2091–2110 (1997). Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=9291602

  22. Brainard, D.H., Longère, P., Delahunt, P.B., Freeman, W.T., Kraft, J.M., Xiao, B.: Bayesian model of human color constancy. J. Vis. 6(11) (2006). Retrieved from http://w.journalofvision.org/content/6/11/10.full

  23. Buchsbaum, G.: A spatial processor model for object colour perception. J. Franklin Inst. 310(1), 1–26 (1980). Retrieved from http://www.sciencedirect.com/science/article/pii/0016003280900587

  24. Chakrabarti, A., Scharstein, D., Zickler, T.: Color datasets. An empirical camera model for Internet color vision. In: Proceedings of the British Machine Vision Conference (BMVC) (2009)

    Google Scholar 

  25. Chakrabarti, A., Hirakawa, K., Zickler, T.: Color constancy with spatio-spectral statistics. IEEE Trans. Pattern Anal. Mach. Intell. 34(8), 1509–1519 (2012). http://cilab.knu.ac.kr/seminar/Seminar/2013/20130330ColorConstancywithSpatio-SpectralStatistics.pdf

  26. Ciurea, F., Funt, B. A large image database for color constancy research. In: Proceedings of the Eleventh Color Imaging Conference (2003)

    Google Scholar 

  27. D’Zmura, M., Iverson, G., Singer, B.: Probabilistic color constancy. In Luce R.D., D’Zmura M., Hoffman D.D., Iverson G., Romney, K. (eds.) Geometric Representations of Perceptual Phenomena, pp. 187–202. Lawrence Erlbaum Associates, Mahwah (1995)

    Google Scholar 

  28. Delahunt, P.B., Brainard, D.H.: Does human color constancy incorporate the statistical regularity of natural daylight? J. Vis. 4(2) (2004). Retrieved from http://ww.journalofvision.org/content/4/2/1.full

  29. Doerschner, K., Boyaci, H., Maloney, L.T.: Human observers compensate for secondary illumination originating in nearby chromatic surfaces. J. Vis. 4(2) (2004). Retrieved from http://wwww.journalofvision.org/content/4/2/3.full

  30. Epstein, W.: Phenomenal orientation and perceived achromatic color. J. Psychol. 52(1), 51–53 (1961). Retrieved from http://www.tandfonline.com/doi/pdf/10.1080/00223980.1961.9916503

  31. Finlayson, G.D., Drew, M.S., Funt, B.V.: Color constancy: generalized diagonal transforms suffice. J. Opt. Soc. Am. A 11(11), 3011–3019 (1994). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.121.872&rep=rep1&type=pdf

  32. Finlayson, G.D., Hordley, S.D., Hubel, P.M.: Color by correlation: a simple, unifying framework for color constancy. IEE Trans. Pattern Anal. Mach. Intell. 23(11), 1209–1221 (2001). Retrieved from http://th.physik.uni-frankfurt.de/~triesch/courses/275vision/papers/finlayson_et_al_pami_2001.pdf

  33. Fleming, R.W., Bülthoff, H.H.: Low-level image cues in the perception of translucent materials. ACM Trans. Appl. Percept. (TAP) 2(3), 346–382 (2005). Retrieved from http://dl.acm.org/citation.cfm?id=1077409

  34. Forsyth, D.A.: A novel algorithm for color constancy. Int. J. Comp. Vis. 5(1), 5–35 (1990). Retrieved from http://link.springer.com/article/10.1007/BF00056770

  35. Foster, D.H.: Does colour constancy exist? Trends Cogn. Sci. 7(10), 439–443 (2003). Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14550490

  36. Foster, D.H.: Color constancy. Vision Res. 51(7), 674–700 (2011). Retrieved from http://www.sciencedirect.com/science/article/pii/S0042698910004402

  37. Funt, B., Shi, L.: The effect of exposure on MaxRGB color constancy. In: Proceedings of the SPIE, San Jose. Human Vision and Electronic Imaging XV, vol. 7527 (2010)

    Google Scholar 

  38. Funt, B., Shi, L.: The rehabilitation of MaxRGB . In: Proceedings of the IS&T Eighteenth Color Imaging Conference, San Antonio (2010)

    Google Scholar 

  39. Gao, S., Yang, K., Li, C., Li, Y.: A color constancy model with double-opponency mechanisms. In: Computer Vision (ICCV), 2013 IEEE International Conference on, Sydney, 1–8 Dec 2013, pp. 929–936. IEEE (2013). doi:10.1109/ICCV.2013.119

    Google Scholar 

  40. Gehler, P. V., Rother, C., Blake, A., Minka, T., Sharp, T.: Bayesian color constancy revisited (2008)

    Google Scholar 

  41. Gijsenij, A., Gevers, T.: Color constancy using natural image statistics. IEEE Trans. Patt. Anal. Mach. Intell. 33(4), 687–698 (2007). doi:10.1109/TPAMI.2010.93

    Google Scholar 

  42. Gijsenij, A., Gevers, T.: Color constancy using natural image statistics and scene semantics. IEE Trans. Pattern Anal. Mach. Intell. 33(4), 687–698 (2011). Retrieved from http://staff.science.uva.nl/~gevers/pub/GeversPAMI11.pdf

  43. Gijsenij, A., Gevers, T., van de Weijer, J.: Computational color constancy: survey and experiments. IEEE Trans. Image Process. 20(9), 2475–2489 (2011). doi:10.1109/TIP.2011.2118224

    Article  MathSciNet  ADS  Google Scholar 

  44. Gilchrist, A.L.: When does perceived lightness depend on perceived spatial arrangement? Percept. Psychophys. 28(6), 527–538 (1980). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.211.7842&rep=rep1&typ e=pdf

  45. Gkioulekas I, Zhao S, Bala K, Zickler T, Levin A. Inverse volume rendering with material dictionaries. ACM Trans Graphics (TOG). 2013;32(6). doi:10.1145/2508363.2508377

    Google Scholar 

  46. Helson, H.: Fundamental problems in color vision. I. The principle governing changes in hue, saturation, and lightness of non-selective samples in chromatic illumination. J Exp. Psychol. 23(5), 439 (1938). Retrieved from http://psycnet.apa.org/journals/xge/23/5/439/

  47. Helson, H., Jeffers, V.B.: Fundamental problems in color vision. II. Hue, lightness, and saturation of selective samples in chromatic illumination. J. Exp. Psychol. 26(1), 1 (1940). Retrieved from http://psycnet.apa.org/journals/xge/26/1/1/

  48. Hurvich, L.M., Jameson, D.: An opponent-process theory of color vision. Psychol. Rev. 64(6p1), 384 (1957). Retrieved from http://cogsci.bme.hu/~gkovacs/letoltes/HurvichJameson1957.pdf

  49. Jameson, D., Hurvich, L.: Opponent-response functions related to measured cone photopigments*. J. Opt. Soc. Am. 58(3), 429–430 (1968). Retrieved from http://www.opticsinfobase.org/abstract.cfm?URI=josa-58-3-429_1

  50. Kaiser, P.K., Boynton, R.M.: Human Color Vision (287). Optical Society of America, Washington, DC (1996). Retrieved from http://www.getcited.org/pub/100154932

    Google Scholar 

  51. Kanematsu, E., Brainard, D.H.: No measured effect of a familiar contextual object on color constancy. Color Res. Appl. 39(4), 347–359 (2013). Retrieved from http://color.psych.upenn.edu/brainard/papers/Kanematsu_Brainard_13.pdf

  52. Kraft, J.M., Brainard, D.H.: Mechanisms of color constancy under nearly natural viewing. Proc. Natl. Acad. Sci. U. S. A. 96(1), 307–312 (1999). Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=9874814

  53. Kraft, J.M., Maloney, S.I., Brainard, D.H.: Surface-illuminant ambiguity and color constancy: effects of scene complexity and depth cues. Perception 31(2), 247–263 (2002). Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11922136

  54. Land, E.H.: The retinex theory of color vision. Sci. Am. 237, 108–128 (1977). Retrieved from http://xa.yimg.com/kq/groups/18365325/470399326/name/E.Land_-_Retinex_Theory%255B1%255D.pdf

  55. Li, B., Xu, D., Lang, C.: Colour constancy based on texture similarity for natural images. Color. Technol. 125(6), 328–333 (2009). Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/j.1478-4408.2009.00214.x/full

  56. Maloney, L.T.: Physics-based approaches to modeling surface color perception. In: Color Vision: From Genes to Perception, pp. 387–416. Cambridge University Press, Cambridge, New York (1999). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.211.8602&rep=rep1&type=pdf

  57. Maloney, L.T., Wandell, B.A.: Color constancy: a method for recovering surface spectral reflectance. J. Opt. Soc. Am. A. 3(1), 29–33 (1986). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.6.4745&rep=rep1&type=pdf

  58. Maloney, L. T., Brainard, D. H.: Color and material perception: achievements and challenges. J. Vis. 10(9). doi:10.1167/10.9.19 (2010)

    Google Scholar 

  59. Motoyoshi, I., Nishida, S., Sharan, L., Adelson, E.H.: Image statistics and the perception of surface qualities. Nature 447(7141), 206–209 (2007). Retrieved from http://www.cns.nyu.edu/~msl/courses/2223/Readings/MotoyoshiNishidaSharanAdelson.Nature.2007.pdf

  60. Obein, G., Knoblauch, K., Viéot, F.: Difference scaling of gloss: nonlinearity, binocularity, and constancy. J. Vision. 4(9), 711–20 (2004). Retrieved from http://ww.journalofvision.org/content/4/9/4.full

  61. Olkkonen, M., Brainard, D.H.: Perceived glossiness and lightness under real-world illumination. J. Vis. 10(9), 5 (2010). doi10.1167/10.9.5

    Article  Google Scholar 

  62. Olkkonen, M., Brainard, D.H.: Joint effects of illumination geometry and object shape in the perception of surface reflectance. Iperception 2(9), 1014–1034 (2011). doi:10.1068/i0480

    Google Scholar 

  63. Olkkonen, M., Hansen, T., Gegenfurtner, K.R.: Color appearance of familiar objects: effects of object shape, texture, and illumination changes. J. Vis. 8(5) (2008). Retrieved from http://www.journalofvision.orgwww.journalofvision.org/content/8/5/13.full

  64. Poirson, A.B.., Wandell, B.A.: Appearance of colored patterns: pattern—color separability. J. Opt. Soc. Am. A. 10(12), 2458–2470 (1993). Retrieved from http://white.stanford.edu/~brian/papers/color/smatch.pdf

  65. Radonjić, A., Todorović, D., Gilchrist, A.: Adjacency and surroundedness in the depth effect on lightness. J. Vis. 10(9) (2010). Retrieved from http://171.67.113.220/content/10/9/12.full

  66. Ripamonti, C., Bloj, M., Hauck, R., Mitha, K., Greenwald, S., Maloney, S.I., Brainard, D.H.: Measurements of the effect of surface slant on perceived lightness. J. Vis. 4(9) (2004). Retrieved from http://www.journalofvision.orgwww.journalofvision.org/content/4/9/7.full

  67. Robilotto, R., Zaidi, Q.: Limits of lightness identification for real objects under natural viewing conditions. J. Vis. 4(9) (2004). Retrieved from http://ww.w.journalofvision.org/content/4/9/9.full

  68. Rosenberg, C., Ladsariya, A., Minka, T.: Bayesian color constancy with non-Gaussian models. In: Advances in Neural Information Processing Systems (2003)

    Google Scholar 

  69. Shevell, S.K.: The dual role of chromatic backgrounds in color perception. Vision Res. 18(12), 1649–1661 (1978). Retrieved from http://deepblue.lib.umich.edu/bitstream/2027.42/22782/1/0000337.pdf

  70. Shi, L., Funt, B. V.: Re-processed version of the Gehler color constancy database of 568 images. Simon Fraser University (2010)

    Google Scholar 

  71. Smet, K., Ryckaert, W.R., Pointer, M.R., Deconinck, G., Hanselaer, P.: Colour appearance rating of familiar real objects. Color Res. Appl. 36(3), 192–200 (2011). Retrieved from http://www.esat.kuleuven.be/electa/publications/fulltexts/pub_2070.pdf

  72. Smithson, H.E.: Sensory, computational and cognitive components of human colour constancy. Philos. Trans. R. Soc. Lond. B Biol. Sci. 360(1458), 1329–1346 (2005). doi:10.1098/rstb.2005.1633

    Article  Google Scholar 

  73. Troost, J.M., De Weert, C.M.M.: Naming versus matching in color constancy. Percept. Psychophys. 50(6), 591–602 (1991). Retrieved from http://link.springer.com/article/10.3758/BF03207545

  74. Van De Weijer, J., Gevers, T., Gijsenij, A.: Edge-based color constancy. IEEE Trans. Image Process. 16(9), 2207–2214 (2007). Retrieved from http://hal.archives-ouvertes.fr/docs/00/54/86/86/PDF/IP07_vandeweijer.pdf

  75. Van De Weijer, J., Schmid, C., Verbeek, J.: Using high-level visual information for color constancy. In: Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. IEEE (2007)

    Google Scholar 

  76. von Kries, J.: Chromatic adaptation. Festschrift der Albrecht-Ludwigs-Universität, pp. 145–158. (1902)

    Google Scholar 

  77. Walraven, J.: Discounting the background – the missing link in the explanation of chromatic induction. Vision Res. 16(3), 289–295 (1976). Retrieved from http://www.sciencedirect.com/science/article/pii/0042698976901127

  78. Webster, M.A., Mollon, J.D.: Colour constancy influenced by contrast adaptation. Nature 373(6516), 694–698 (1995). Retrieved from http://www.nature.com/nature/journal/v373/n6516/abs/373694a0.html

  79. Werner, A.: Color constancy improves, when an object moves: high-level motion influences color perception. J. Vis. 7(14) (2007). Retrieved from http://wwww.journalofvision.org/content/7/14/19.full

  80. Xiao, B., Hurst, B., MacIntyre, L., Brainard, D.H.: The color constancy of three-dimensional objects. J. Vis. 12(4), 6 (2012). doi:10.1167/12.4.6

    Article  Google Scholar 

  81. Zaidi, Q., Bostic, M.: Color strategies for object identification. Vision Res. 48(26), 2673–2681 (2008). doi:10.1016/j.visres.2008.06.026

    Article  Google Scholar 

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Xiao, B. (2015). Color Constancy. In: Luo, R. (eds) Encyclopedia of Color Science and Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27851-8_266-1

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  1. Latest

    Color Constancy
    Published:
    16 July 2020

    DOI: https://doi.org/10.1007/978-3-642-27851-8_266-2

  2. Original

    Color Constancy
    Published:
    03 October 2015

    DOI: https://doi.org/10.1007/978-3-642-27851-8_266-1