A model of human pattern perception: association fields for adaptive spatial filters TIM S. MEESE * Vision Sciences, School of Life and Health Sciences, Aston University, Aston Triangle, Birmingham B4 7ET, UK Received 1 May 1998; revised 25 January 1999; accepted 8 March 1999 Abstract-Visual neurons in the primary visual cortex 'look' at the retinal image through a four- dimensional array of spatial receptive fields (filter-elements): two spatial dimensions and, at each spatial location, two Fourier dimensions of spatial frequency and orientation. In general, visual objects activate filter-elements along each of these dimensions, suggesting a need for some kind of linking mechanism that determines whether two or more filter-elements are responding to the same or different contours or objects. In the spatial domain, a (spatial) association field between filter-elements, arranged to form first-order curves, has been inferred as a flexible method by which different parts of extended (luminance) contours become associated (Field et al., 1993). Linking has also been explored between filters selective for different regions in Fourier space (e.g. Georgeson and Meese, 1997). Perceived structure of stationary plaids suggests that spatial filtering is adaptive: synthetic filters can be created by the linear summation of basis-filters across orientation
Spatial Vision (continued as Seeing & Perceiving from 2010) – Brill
Published: Jan 1, 1999
Keywords: edge detection; segmentation; binding; plaid; Association field; adaptive filters; linking
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