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

2001

@article{GGR2001,
	vgclass =	{refpap},
	author =	{Hayit Greenspan and Jacob Goldberger and Lenny Ridel},
	title =	{A Continuous Probabilistic Framework for Image Matching},
	journal =	{Computer Vision and Image Understanding},
	volume =	{84},
	number =	{3},
	pages =	{384--406},
	month =	{December},
	year =	{2001},
	url =	{http://dx.doi.org/10.1006/cviu.2001.0946},
	abstract =	{In this paper we describe a probabilistic image matching
	scheme in which the image representation is continuous and the
	similarity measure and distance computation are also defined in the
	continuous domain. Each image is first represented as a Gaussian
	mixture distribution and images are compared and matched via a
	probabilistic measure of similarity between distributions. A common
	probabilistic and continuous framework is applied to the representation
	as well as the matching process, ensuring an overall system that is
	theoretically appealing. Matching results are investigated and the
	application to an image retrieval system is demonstrated.},
}