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

2003

@article{SeL2003,
	vgclass =	{refpap},
	author =	{Nicu Sebe and Michael S. Lew},
	title =	{Comparing salient point detectors},
	journal =	{Pattern Recognition Letters},
	volume =	{24},
	number =	{1--3},
	pages =	{89--96},
	month =	{January},
	year =	{2003},
	url =	{http://dx.doi.org/10.1016/S0167-8655(02)00192-7},
	abstract =	{The use of salient points in content-based retrieval
	allows an image index to represent local properties of the image.
	Classic corner detectors can also be used for this purpose but they
	have drawbacks when are applied to various natural images mainly
	because visual features do not need to be corners and corners may
	gather in small regions. In this paper, we present a salient point
	detector using wavelet transform and we compare it with two corner
	detectors using two criteria: repeatability rate and information
	content. We determine which detector gives the best results and show
	that it satisfies the criteria well.},
}