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

1998

@inproceedings{DeV1998,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Jeremy S. De~Bonet and Paul Viola},
	title =	{Texture Recognition Using a Non-parametric Multi-Scale
	Statistical Model},
	booktitle =	{Proceedings of the 1998 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'98)},
	address =	{Santa Barbara, California, USA},
	month =	{June},
	year =	{1998},
	url =	{http://www.ai.mit.edu/\~{}jsd/research/publications/1998/DeBonet-CVPR98.pdf},
	abstract =	{We describe a technique for using the joint occurrence of
	local features at multiple resolutions to measure the similarity
	between texture images. Though superficially similar to a number of
	``Gabor'' style techniques, which recognize textures through the
	extraction of multi-scale feature vectors, our approach is derived from
	an accurate generative model of texture, which is explicitly
	multi-scale and non-parametric. The resulting recognition procedure is
	similarly non-parametric, and can model complex non-homogeneous
	textures. We report results on publicly available texture databases. In
	addition, experiments indicate that this approach may have sufficient
	discrimination power to perform target detection in synthetic aperture
	radar images (SAR).},
}