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Proceedings of IJCAI 2005 (International Joint Conference on Artificial Intelligence)

dc.contributor.authorMcNeill, Grahamen
dc.contributor.authorVijayakumar, Sethuen
dc.date.accessioned2010-08-31T13:27:46Z
dc.date.available2010-08-31T13:27:46Z
dc.date.issued2005-07en
dc.identifier.other0378en
dc.identifier.urihttp://homepages.inf.ed.ac.uk/svijayak/publications/mcneill-IJCAI2005.pdfen
dc.identifier.urihttp://hdl.handle.net/1842/3691
dc.description.abstractWe present a novel correspondence-based technique for efficient shape classification and retrieval. Shape boundaries are described by a set of (ad hoc) equally spaced points avoiding the need to extract landmark points. By formulating the correspondence problem in terms of a simple generative modelen
dc.publisherProfessional Book Centeren
dc.subjectshape classificationen
dc.title2D Shape Classification and Retrievalen
dc.typeConference Paperen
rps.titleProceedings of IJCAI 2005 (International Joint Conference on Artificial Intelligence)en
dc.extent.pageNumbers1483-148en
dc.date.updated2010-08-31T13:27:46Z


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