NDLI: Stochastic completion fields: a neural model of illusory contour shape and salience

Content Provider	IEEE Xplore Digital Library
Author	Williams, L.R. Jacobs, D.W.
Copyright Year	1995
Description	Author affiliation: NEC Res. Inst., Princeton, NJ, USA (Williams, L.R.; Jacobs, D.W.)
Abstract	We describe an algorithm and representation level theory of illusory contour shape and salience. Unlike previous theories, our model is derived from a single assumption-namely, that the prior probability distribution of boundary completion shape can be modeled by a random walk in a lattice whose points are positions and orientations in the image plane (i.e. the space which one can reasonably assume is represented by neurons of the mammalian visual cortex). Our model does not employ numerical relaxation or other explicit minimization, but instead relies on the fact that the probability that a particle following a random walk will pass through a given position and orientation on a path joining two boundary fragments can be computed directly as the product of two vector-field convolutions. We show that for the random walk we define, the maximum likelihood paths are curves of least energy, that is, on average, random walks follow paths commonly assumed to model the shape of illusory contours. A computer model is demonstrated on numerous illusory contour stimuli from the literature.<>
Starting Page	408
Ending Page	415
File Size	896398
Page Count	8
File Format	PDF
ISBN	0818670428
DOI	10.1109/ICCV.1995.466910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-06-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Shape Brightness Brain modeling Lattices Neurons Distributed computing Probability distribution Jacobian matrices National electric code
Content Type	Text
Resource Type	Article

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