Article ID Journal Published Year Pages File Type
527111 Image and Vision Computing 2012 11 Pages PDF
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.

Graphical abstractFig. 1 displays simulation results of long-range contextual modulation. (Left) panel shows input signal, retinal field with an image of an oriented bar with a gap simulating the occlusion of a receptive field. (Right) panel displays model's simulated output of the response of the pinwheel like structures of primary visual cortex, where it can be observed that the iso-orientation line of the pinwheel associated with the occluded receptive field is activated along the angle of orientation of the input signal.Figure optionsDownload full-size imageDownload high-quality image (98 K)Download as PowerPoint slideHighlights► The model of the primary visual cortex presented in this paper, Gabor Energy Transform (GET). ► Accounts for long-range contextual modulation. ► Accounts for certain types of perceptual filling-in. ► Is consistent with predictions made by other state-of-the-art models.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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