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Authors: Nasim Nematzadeh 1 ; Trent W. Lewis 1 and David M. W. Powers 2

Affiliations: 1 Flinders University, Australia ; 2 Flinders University and Beijing University of Technology, Australia

ISBN: 978-989-758-074-1

Keyword(s): Visual Perception, Cognitive Systems, Pattern Recognition, Biological Neural Networks, Self-organising Systems, Geometrical Illusions, Tilt Effects, Difference of Gaussian.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Cognitive Systems ; Computational Intelligence ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Theory and Methods ; Vision and Perception

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. (More)

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Paper citation in several formats:
Nematzadeh, N.; W. Lewis, T. and M. W. Powers, D. (2015). Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-074-1, pages 305-316. DOI: 10.5220/0005186203050316

@conference{icaart15,
author={Nasim Nematzadeh. and Trent W. Lewis. and David M. W. Powers.},
title={Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={305-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005186203050316},
isbn={978-989-758-074-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision
SN - 978-989-758-074-1
AU - Nematzadeh, N.
AU - W. Lewis, T.
AU - M. W. Powers, D.
PY - 2015
SP - 305
EP - 316
DO - 10.5220/0005186203050316

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