Refereed full papers (journals, book chapters, international conferences)

1996

@article{GuM1996,
	vgclass =	{refpap},
	author =	{Gideon Guy and G\'{e}rard Medioni},
	title =	{Inferring Global Perceptual Contours from Local Features},
	journal =	{International Journal of Computer Vision},
	volume =	{20},
	number =	{1/2},
	pages =	{113--133},
	month =	{October},
	year =	{1996},
	abstract =	{We address the problem of contour inference from partial
	data, as obtained from state-of-the-art edge detectors. We argue that
	in order to obtain more perceptually salient contours, it is necessary
	to impose generic constraints such as continuity and co-curvilinearity.
	The implementation is in the form of a convolution with a mask which
	encodes both the orientation and the strength of the possible
	continuations. We first show how the mask, called the ``Extension
	field'' is derived, then how the contributions from different sites are
	collected to produce a saliency map. We show that the scheme can handle
	a variety of input data, from dot patterns to oriented edgels in a
	unified manner, and demonstrate results on a variety of input stimuli.
	We also present a similar approach to the problem of inferring contours
	formed by end points. IN both cases, the scheme is non-linear, non
	iterative, and unified in the sense that all types of input tokens are
	handled in the same manner.},
}