Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3348
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dc.contributorOlver, Peter J.-
dc.contributorSapiro, Guillermo.-
dc.contributorTannenbaum, Allen, 1953--
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:39:39Z-
dc.date2003-04-29T15:39:39Z-
dc.date1993-
dc.date.accessioned2013-06-04T16:16:40Z-
dc.date.available2013-06-04T16:16:40Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3348-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionPeter J. Olver, Guillermo Sapiro, Allen Tannenbaum.-
dc.descriptionIncludes bibliographical references (p. 40-44).-
dc.descriptionSupported by the National Science Foundation. DMS-9204192 DMS-8811084 ECS-9122106 Supported by the Air Force Office of Scientific Research. AFOSR-90-0024 Supported by the Rothschild Foundation-Yad Hanadiv and by Image Evolutions, Ltd.-
dc.format44 p.-
dc.format3564319 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]-
dc.relationLIDS-P ; 2219-
dc.subjectTK7855.M41 E3845 no.2219-
dc.titleDifferential invariant signatures and flows in computer vision : a symmetry group approach-
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