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

2004

@article{ToH2004,
	vgclass =	{refpap},
	author =	{Andrea Torsello and Edwin R. Hancock},
	title =	{A skeletal measure of {2D} shape similarity},
	journal =	{Computer Vision and Image Understanding},
	volume =	{95},
	number =	{1},
	pages =	{1--29},
	month =	{July},
	year =	{2004},
	url =	{http://dx.doi.org/10.1016/j.cviu.2004.03.006},
	abstract =	{This paper presents a geometric measure that can be used
	to gauge the similarity of 2D shapes by comparing their skeletons. The
	measure is defined to be the rate of change of boundary length with
	distance along the skeleton. We demonstrate that this measure varies
	continuously when the shape undergoes deformations. Moreover, we show
	that ligatures are associated with low values of the shape-measure. The
	measure provides a natural way of overcoming a number of problems
	associated with the structural representation of skeletons. The first
	of these is that it allows us to distinguish between perceptually
	distinct shapes whose skeletons are ambiguous. Second, it allows us to
	distinguish between the main skeletal structure and its ligatures,
	which may be the result of local shape irregularities or noise. We
	illustrate how the new shape-measure can be used for the purposes of
	clustering shock-trees of the same shape class.},
}