What are lightness illusions and why do we see them?

PLoS Computational Biology

Volumn 3, Issue 9, 2007, Pages 1790-1800

  Corney, David ^a   Lotto, R Beau ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

LUMINANCE; MACHINERY; NEURAL NETWORKS; PHYSIOLOGY; SYSTEMATIC ERRORS; VIRTUAL REALITY;

ENCODINGS; FORMAL DEFINITION; HUMAN PERCEPTION; HUMAN PHYSIOLOGY; NON-UNIFORM ILLUMINATION; ROBUST BEHAVIOR; STATISTICAL RELATIONSHIP; VISUAL EXPERIENCES; VISUAL SYSTEMS; VISUAL WORLD;

ECOLOGY;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRIGHTNESS; HUMAN; ILLUMINATION; NONHUMAN; PERCEPTION; STATISTICAL MODEL; VIRTUAL REALITY; VISUAL SYSTEM;

ANIMALIA;

EID: 34848916706     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0030180     Document Type: Article

References (31)

1. Gilchrist AL, Kossyfidis C, Bonato F, Agostini T, Cataliotti J, et al. (1999) An anchoring theory of lightness perception. Psych Rev 106: 795-834.
2. Kersten D, O'Toole A, Sereno M, Knill D, Anderson JA (1987) Associative learning of scene parameters from images. Applied Optics 26: 4999-5006.
3. Lehky SR, Sejnowski TJ (1988) Network model of shape from shading: Neural function arises from both receptive and projective fields. Nature 333: 452-454.
4. Kersten D (1990) Statistical limits to image understanding. In: Blakemore C, editor. Vision: Coding and efficiency. Cambridge: Cambridge University Press. pp. 32-44.
5. Blakeslee B, McCourt ME (2004) A unified theory of brightness contrast and assimilation incorporating oriented multiscale spatial filtering and contrast normalization. Vis Res 44: 2483-2503.
6. Blakeslee B, McCourt ME (1999) A multiscale spatial filtering account of the White effect, simultaneous brightness contrast and grating induction. Vis Res 39: 4361-4377.
7. Bell M, Freeman WT (2001) Learning local evidence for shading and reflectance. Proceedings of the Eighth International Conference on Computer Vision; July 2001; Vancouver, Canada. Volume 1: 670-677.
8. Tappan M, Adelson E, Freeman WT (2006) Estimating intrinsic component mages using non-linear regression. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition; 16-26 June 2006; New York, New York, United States. Volume 2: 1992-1999.
9. Lee AB, Mumford D, Huang J (2001) Occlusion models for natural images: A statistical study of a scale-invariant dead leaves model. Int J Comput Vis 41: 35-59.
10. Schlessinger E, Bentley PJ, Lotto RB (2005) Evolving visually guided agents in an ambiguous virtual world. Proceedings of the Genetic and Evolutionary Computation Conference; 25-29 June, 2005; Washington, D.C., United States of America. pp. 115-120.
11. Sutton RS, Barto AG (1998) Reinforcement learning: An introduction. Cambridge (Massachusetts): MIT Press.
12. Brainard DH, Longere P, Delahunt PB, Freeman WT, Kraft JM, et al. (2006) Bayesian model of human color constancy. J Vision 6: 1267-1281.
13. Grossberg S, Hong S (2006) A neural model of surface perception: Lightness, anchoring, and filling-In. Spatial Vision 19: 263-321.
14. Becker S, Hinton GE (1992) Self-organizing neural network that discovers surfaces in random-dot stereograms. Nature 355: 161-163.
15. Boots B, Nundy S, Purves D (2007) Evolution of visually-guided behaviour in artificial agents. Network: Comput Neural Sys 18: 1-24.
16. Pouget A, Sejnowski TJ (1994) A neural model of the cortical representation of egocentric distance. Cerebral Cortex 4: 314-329.
17. Golz J, MacLeod DIA (2002) Influence of scene statistics on colour constancy. Nature 415: 637-640.
18. Katz D (1935) The world of colour. London: Kegan Paul.
19. Brown RO, MacLeod DIA (1997) Color appearance depends on the variance of surround colors. Curr Biol 7: 844-849.
20. Lotto RB, Purves D (1999) The effects of color on brightness. Nat Neuro 2: 1010-1014.
21. Lotto RB, Purves D (2000) An empirical explanation of color contrast. Proc Natl Acad Sci 97: 12834-12839.
22. Nundy S, Purves D (2002) A probabilistic explanation of brightness scaling. Proc Natl Acad Sci 99: 14482-14487.
23. Maloney LT, Schirillo JA (2002) Color constancy, lightness constancy, and the articulation hypothesis. Perception 31: 135-139.
24. Adelson EH (2000) Lightness perception and lightness illusions. In: Gazzaniga M, editor. The new cognitive neurosciences. 2nd edition. Cambridge (Massachusetts): MIT Press. pp. 339-351.
25. Dakin SC, Bex PJ (2003) Natural image statistics mediate brightness "filling in." Proc Roy Soc B 270: 2341-2348.
26. Yang Z, Purves D (2004) The statistical structure of natural light patterns determines perceived light intensity. Proc Natl Acad Sci 101: 8745-8750.
27. Stevens SS (1966) Concerning the measurement of brightness. J Opt Soc Am A 56: 1135-1136.
28. Simoncelli EP, Olshausen BA (2001) Natural image statistics and neural representation. Annu Rev Neurosci 24: 1193-1216.
29. Long F, Purves D (2003) Natural scene statistics as the universal basis for color context effects. Proc Natl Acad Sci 100: 15190-15193.
30. Howe CQ, Purves D (2004) Size contrast and assimilation explained by the statistics of scene geometry. J Cog Neurosci 16: 90-102.
31. Brainard DH (1998) Color constancy in the nearly natural image. 2. Achromatic loci. J Opt Soc Am A 15: 307-325.