Contextual modulation via low-level vision processing
Author(s)
Sheridan, Phillip
Thornton, Barry
Griffith University Author(s)
Year published
2012
Metadata
Show full item recordAbstract
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 contextualmodulation. This paper introduces a new model which extends a state-of-the-art model of contextualmodulation 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-levelvisionprocessing.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 contextualmodulation. This paper introduces a new model which extends a state-of-the-art model of contextualmodulation 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-levelvisionprocessing.
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Journal Title
Image and Vision Computing
Volume
30
Issue
4-5
Subject
Physiology not elsewhere classified
Computer Vision
Artificial Intelligence and Image Processing
Electrical and Electronic Engineering