OBJECT RECOGNITION USING SIGNATURES

dc.contributor.authorParker, J.R.eng
dc.contributor.authorZhou, Z.eng
dc.date.accessioned2008-05-08T18:41:47Z
dc.date.available2008-05-08T18:41:47Z
dc.date.computerscience1999-05-27eng
dc.date.issued1996-10-01eng
dc.description.abstractA method is described for quickly detecting the similarity between planar shapes. By normalizing the distance from boundary to its geometric center, a 2D shape can be represented as a 2$pi$ periodic function which is invariant to both translation and scaling. In this function, the orientation of the original shape is converted to the translation only in one direction. In this way, it becomes easier to handle. The similarity measurement is the minimum value over the translation from 0 to 2$pi$. Experimental results are included for the comparison of a group of 24 shapes.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1996-592-12eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30949
dc.identifier.urihttp://hdl.handle.net/1880/46440
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleOBJECT RECOGNITION USING SIGNATURESeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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