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Author:

Nematzadeh, Nasim (Nematzadeh, Nasim.) | Lewis, Trent W. (Lewis, Trent W..) | Powers, David M. W. (Powers, David M. W..)

Indexed by:

EI Scopus

Abstract:

Visual illusions emerge as an attractive field of research with the discovery over the last century of a variety of deep and mysterious mechanisms of visual information processing in the human visual system. Among many classes of visual illusion relating to shape, brightness, colour and motion, 'geometrical illusions' are essentially based on the misperception of orientation, size, and position. The main focus of this paper is on illusions of orientation, sometimes referred to as 'tilt illusions', where parallel lines appear not to be parallel, a straight line is perceived as a curved line, or angles where lines intersect appear larger or smaller. Although some low level and high level explanations have been proposed for geometrical tilt illusions, a systematic explanation based on model predictions of both illusion magnitude and local tilt direction is still an open issue. Here a neurophysiological model is expounded based on Difference of Gaussians implementing a classical receptive field model of retinal processing that predicts tilt illusion effects.

Keyword:

Computer vision Pattern recognition Artificial intelligence Pattern recognition systems Geometry Cognitive systems Ophthalmology

Author Community:

  • [ 1 ] [Nematzadeh, Nasim]School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, Australia
  • [ 2 ] [Lewis, Trent W.]School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, Australia
  • [ 3 ] [Powers, David M. W.]School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, Australia
  • [ 4 ] [Powers, David M. W.]College of Computing, Beijing University of Technology, Beijing, China

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Source :

Year: 2015

Volume: 2

Page: 305-316

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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