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

1997

@inproceedings{CoM1997,
	vgclass =	{refpap},
	author =	{Dorin Comaniciu and Peter Meer},
	title =	{Robust Analysis of Feature Spaces: Color Image Segmentation},
	booktitle =	{Proceedings of the 1997 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'97)},
	address =	{San Juan, Puerto Rico},
	pages =	{750--755},
	month =	{June},
	year =	{1997},
	abstract =	{A general technique for the recovery of significant image
	features is presented. The technique is based on the mean shift
	algorithm, a simple nonparametric procedure for estimating density
	gradients. Drawbacks of the current methods (including robust
	clustering) are avoided. Feature space of any nature can be processed,
	and as an example, color image segmentation is discussed. The
	segmentation is completely autonomous, only its class is chosen by the
	user. Thus, the same program can produce a high quality edge image, or
	provide, by extracting all the significant colors, a preprocessor for
	content-based query systems. A 512x512 color image is analyzed in less
	than 10 seconds on a standard workstation. Gray level images are
	handled as color images having only the lightness coordinate.},
}