The global-local transformation for invariant shape representation

Raftopoulos, KA; Kollias, SD

dc.contributor.author	Raftopoulos, KA	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T02:44:58Z
dc.date.available	2014-03-01T02:44:58Z
dc.date.issued	2007	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32066
dc.subject	Global-local transformation	en
dc.subject	Shape recognition	en
dc.subject	Shape representation	en
dc.subject.other	Database systems	en
dc.subject.other	Object recognition	en
dc.subject.other	Closed planar curves	en
dc.subject.other	Global-local transformation	en
dc.subject.other	Shape recognition	en
dc.subject.other	Shape representation	en
dc.subject.other	Computer vision	en
dc.title	The global-local transformation for invariant shape representation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-76856-2_22	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-76856-2_22	en
heal.publicationDate	2007	en
heal.abstract	We present the GlobalLocal (GL) transformation for closed planar curves. With this new transformation we can represent shape by means of two dimensional manifolds (surfaces) embedded into the unit cube. We explore some useful properties of the transform space and we demonstrate its high expressive power. We justify the high potential of the resulting invariant shape representations in object recognition by providing experimental results using the Kimia silhouette database. © Springer-Verlag Berlin Heidelberg 2007.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-76856-2_22	en
dc.identifier.volume	4842 LNCS	en
dc.identifier.issue	PART 2	en
dc.identifier.spage	224	en
dc.identifier.epage	233	en