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

1993

@article{ChC1993,
	vgclass =	{refpap},
	author =	{Chienchung Chang and Shankar Chatterjee},
	title =	{Ranging Through {G}abor Logons, A Consistent, Hierarchical Approach},
	journal =	{IEEE Transactions on Neural Networks},
	volume =	{4},
	number =	{5},
	pages =	{827--843},
	month =	{September},
	year =	{1993},
	abstract =	{In this work, the correspondence problem in stereo vision
	is handled by matching two sets of dense feature vectors. Inspired by
	biological evidence, these feature vectors are generated by a
	correlation between a bank of Gabor sensors and the intensity image.
	the sensors consist of two-dimensional Gabor filters at various scales
	(spatial frequencies)and orientations, which bear close resemblance to
	the receptive field profiles of simple VI cells in visual cortex. A
	hierarchical, stochastic relaxation method is then used to obtain the
	dense stereo disparities. Unlike traditional hierarchical methods for
	stereo, feature based hierarchical processing yields consistent
	disparities. To avoid false matchings due to static occlusion, a dual
	matching, based on the image geometry, is used.},
}