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

1992

@article{Li1992,
	vgclass =	{refpap},
	vgproject =	{invariance},
	author =	{S.Z. Li},
	title =	{Matching: Invariant to Translations, Rotations and Scale
	Changes},
	journal =	{Pattern Recognition},
	volume =	{25},
	number =	{6},
	pages =	{583--594},
	year =	{1992},
	abstract =	{An optimization approach to invariant matching is
	proposed. In this approach, an object or a pattern is invariantly
	represented by an object-centred description called an attributed
	relational structure (ARS) embedding invariant properties and relations
	between the primitives of the pattern such as line segments or points.
	Noise effect is taken into account such that a scene can consist of
	noisy sub-parts of a model. The matching is then to find the optimal
	mapping between the ARSs of the scene and the model. A gain function is
	formulated to measure the goodness of fit and is to be maximized by
	using the relaxation labelling method. Experiments are shown to
	illustrate the matching algorithm and to demonstrate that the approach
	is truly invariant to arbitrary translations, rotations and scale
	changes under noise.},
}