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

1996

@article{GJP1996,
	vgclass =	{refpap},
	author =	{Bilge G\"{u}nsel and Anil K. Jain and Erdal Panayirci},
	title =	{Reconstruction and Boundary Detection of Range and
	Intensity Images Using Multiscale {MRF} Representations},
	journal =	{Computer Vision and Image Understanding},
	volume =	{63},
	number =	{2},
	pages =	{353--366},
	month =	{March},
	year =	{1996},
	url =	{http://dx.doi.org/10.1006/cviu.1996.0025},
	abstract =	{The basic difficulty encountered in filtering-based
	multiscale boundary detection methods is the elimination of noise and
	insignificant edges without distorting the shape of boundaries. These
	methods remove noise and unnecessary detail by blurring the input image
	at different scales, which results in the loss of positional accuracy
	at the image discontinuities. In this paper, a nonlinear multiscale
	boundary detection method which prevents the conflict between the
	detection and localization goals is introduced. The method uses
	multiscale representations of coupled Markov random fields and applies
	a stochastic regularization scheme based on the Bayesian approach. This
	allows the robust integration of boundary information extracted at
	multiple scales simultaneously. The scheme is applicable to intensity
	and range images as well as to sparse data and eliminates the
	dependency on edge operator size which is the main difficulty in
	filtering-based multiscale techniques.},
}