Mathematical Models of Visual Perception for the Analysis of Geometrical Optical Illusions

In this chapter a cortical-based mathematical models for Geometrical Optical illusions (GOIs) is provided. GOIs have been of great interest due to the possibility to understand, through the effect they produce on neural connections, the behaviour of low-level visual processing. They have been defined in the XIX century by German psycologists (Oppel, Ueber geometrisch-optische Tauschungen. Jahresbericht des physikalischen Vereins zu Frankfurt am Main, pp. 37–47, 1854–1855; Hering, Beitrage zur Physiologie, von Wilhelm Engelmann, Leipzig, pp. 1–5, 1861) in terms of phenomenology of vision, as situations in which there is an awareness of a mismatch of geometrical properties between an item in object space and its associated percept (Westheimer, Vis. Res. 48(20):2128–2142, 2008). As pointed out by Eagleman (2001) the study of these systematic misperceptions combined with recent techniques for brain’s activity recording provides a brilliant insight to lead new experiments on receptive fields of V1, as well as new hypothesis about the behaviour of perception. In this framework, starting from the geometrical model for the primary visual cortex introduced by Citti and Sarti in 2003, we provide an efficient mathematical model which allows to interpret these phenomena and to measure the perceived misperception based on the simulated response of simple cells in V1. The model involves image-processing techniques and allows to recover the perceived displacement by means of partial differential equations.

[1]  Giovanna Citti,et al.  Functional geometry of the horizontal connectivity in the primary visual cortex , 2009, Journal of Physiology-Paris.

[2]  K. Koffka Principles Of Gestalt Psychology , 1936 .

[3]  Giovanna Citti,et al.  The symplectic structure of the primary visual cortex , 2008, Biological Cybernetics.

[4]  D. Hubel,et al.  Ferrier lecture - Functional architecture of macaque monkey visual cortex , 1977, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[5]  C. Fermüller,et al.  Uncertainty in visual processes predicts geometrical optical illusions , 2004, Vision Research.

[6]  J. O. Robinson The Psychology of Visual Illusion , 1972 .

[7]  Giovanna Citti,et al.  A Cortical Based Model of Perceptual Completion in the Roto-Translation Space , 2006, Journal of Mathematical Imaging and Vision.

[8]  J. Bigun,et al.  Optimal Orientation Detection of Linear Symmetry , 1987, ICCV 1987.

[9]  William C. Hoffman,et al.  Visual Illusions of Angle as an Application of Lie Transformation Groups , 1971 .

[10]  J. P. Jones,et al.  An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[11]  Gerald Westheimer,et al.  Illusions in the spatial sense of the eye: Geometrical–optical illusions and the neural representation of space , 2008, Vision Research.

[12]  The Art And Science Of Visual Illusions , 1982 .

[13]  D. A. Smith A descriptive model for perception of optical illusions , 1978 .

[14]  J. Jost Riemannian geometry and geometric analysis , 1995 .

[15]  J. Daugman Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[16]  W. Ehm,et al.  Modeling geometric-optical illusions: A variational approach , 2012, 1211.6615.

[17]  Thomas Brox,et al.  Nonlinear structure tensors , 2006, Image Vis. Comput..

[18]  G. A. Orban,et al.  Receptive field properties of neurones in visual area 1 and visual area 2 in the baboon , 1985, Neuroscience.

[19]  E. H. Walker A mathematical theory of optical illusions and figural aftereffects , 1973 .

[20]  T. R. Hughes,et al.  Mathematical foundations of elasticity , 1982 .

[21]  J. B. Levitt,et al.  Receptive fields and functional architecture of macaque V2. , 1994, Journal of neurophysiology.

[22]  J. Gibson The concept of the stimulus in psychology. , 1960 .