Edges are key components of any visual scene to the extent that we can recognise objects
merely by their silhouettes. Human visual system captures edge information using neurons …

Edges are key components of any visual scene to the extent that we can recognise objects
merely by their silhouettes. The human visual system captures edge information through …

Edges are key components of any visual scene to the extent that we can recognise objects
merely by their silhouettes. The human visual system captures edge information through …

Inferring figure-ground organization in two-dimensional images may require different
complementary strategies. For isolated objects, it has been shown that mechanisms in visual …

Luminance discontinuities, ie edges, are important visual image features because they
demarcate the boundaries of objects in the physical world. Psychophysically, human edge …

Recent studies in mice challenge the traditional notion of the V1 receptive field (RF) showing
increases in V1 firing rates for stimuli presented in the surround, in the absence of a visual …

Determination of the figure region in an image is a fundamental step toward surface
construction, shape coding, and object representation. Localized, asymmetric surround …

Human vision relies on mechanisms that respond to luminance edges in space and time.
Most edge models use orientation-selective mechanisms on multiple spatial scales and …

Segmentation and recognition of objects in a visual scene are two problems that are hard to
solve separately from each other. When segmenting an ambiguous scene, it is helpful to …

A crucial step in understanding visual input is its organization into meaningful components,
in particular object contours and partially occluded background structures. This requires that …