Indexing for Visual Recognition from a Large Model Base

dc.creator	Breuel, Thomas M.
dc.date	2004-10-04T14:36:19Z
dc.date	2004-10-04T14:36:19Z
dc.date	1990-08-01
dc.date.accessioned	2013-10-09T02:42:29Z
dc.date.available	2013-10-09T02:42:29Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1108
dc.identifier	http://hdl.handle.net/1721.1/6029
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	This paper describes a new approach to the model base indexing stage of visual object recognition. Fast model base indexing of 3D objects is achieved by accessing a database of encoded 2D views of the objects using a fast 2D matching algorithm. The algorithm is specifically intended as a plausible solution for the problem of indexing into very large model bases that general purpose vision systems and robots will have to deal with in the future. Other properties that make the indexing algorithm attractive are that it can take advantage of most geometric and non-geometric properties of features without modification, and that it addresses the incremental model acquisition problem for 3D objects.
dc.format	33 p.
dc.format	4945509 bytes
dc.format	1961631 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1108
dc.subject	indexing
dc.subject	visual recognition
dc.subject	3D
dc.subject	object recognition
dc.subject	scomputational complexity
dc.title	Indexing for Visual Recognition from a Large Model Base

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