Contextual modulation via low-level vision processing

Sheridan, P; Thornton, B

Contextual modulation via low-level vision processing

Sheridan, P Thornton, B

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Publication Type:: Journal Article
Citation:: Image and Vision Computing, 2012, 30 (4-5), pp. 367 - 377
Issue Date:: 2012-01-01

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Field	Value	Language
dc.contributor.author	Sheridan, P	en_US
dc.contributor.author	Thornton, B	en_US
dc.date.issued	2012-01-01	en_US
dc.identifier.citation	Image and Vision Computing, 2012, 30 (4-5), pp. 367 - 377	en_US
dc.identifier.issn	0262-8856	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22221
dc.description.abstract	Gabor wavelets are well established as being useful for modeling neuronal response properties of the primary visual cortex. However, current Gabor models do not account for long-range contextual modulation. This paper introduces a new model which extends a state-of-the-art model of contextual modulation by incorporating long-range convolution at the scale of the visual field. The significance of this new mechanism is that it accounts for perceptual filling-in of occluded receptive fields with purely low-level vision processing. © 2012 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	Image and Vision Computing	en_US
dc.relation.isbasedon	10.1016/j.imavis.2012.03.007	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Contextual modulation via low-level vision processing	en_US
dc.type	Journal Article
utslib.citation.volume	4-5	en_US
utslib.citation.volume	30	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	4-5	en_US
pubs.publication-status	Published	en_US
pubs.volume	30	en_US

Abstract:

Gabor wavelets are well established as being useful for modeling neuronal response properties of the primary visual cortex. However, current Gabor models do not account for long-range contextual modulation. This paper introduces a new model which extends a state-of-the-art model of contextual modulation by incorporating long-range convolution at the scale of the visual field. The significance of this new mechanism is that it accounts for perceptual filling-in of occluded receptive fields with purely low-level vision processing. © 2012 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/22221