A Neural Network Model for the Perception of Illusory Surfaces


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 1, pp. 236-248, Jan. 1998
10.3745/KIPSTE.1998.5.1.236,   PDF Download:

Abstract

Human observers perceive a contour where no line or edge is given, such as the border between gratings of this lined offset by half a cycle. Illusory contours occur in a wide variety of circumstances in nature. A common factor in all such figures is the perception of a surface or contour occluding part of a background, i.e. illusory contours are always accompanied by illusory surfaces. Some examples about these kinds of figures are given by Kanizsais triangle or square. In this paper, we proposed a neural network model for forming(extracting) the illusory surfaces, based on the mechanism of feature extraction found in a mammals' visual pathway. It will be shown that the model can extract the illusory surfaces from illusory contours successfully.


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Cite this article
[IEEE Style]
J. E. Hwa, H. K. Ho, K. W. Hyun, "A Neural Network Model for the Perception of Illusory Surfaces," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 1, pp. 236-248, 1998. DOI: 10.3745/KIPSTE.1998.5.1.236.

[ACM Style]
Jeong Eun Hwa, Hong Keong Ho, and Kim Wook Hyun. 1998. A Neural Network Model for the Perception of Illusory Surfaces. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 1, (1998), 236-248. DOI: 10.3745/KIPSTE.1998.5.1.236.