Space Efficient 3D Model Indexing

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5960

Full metadata record

DC Field	Value	Language
dc.creator	Jacobs, David W.	-
dc.date	2004-10-04T14:24:11Z	-
dc.date	2004-10-04T14:24:11Z	-
dc.date	1992-02-01	-
dc.date.accessioned	2013-10-09T02:42:07Z	-
dc.date.available	2013-10-09T02:42:07Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1353	-
dc.identifier	http://hdl.handle.net/1721.1/5960	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We show that we can optimally represent the set of 2D images produced by the point features of a rigid 3D model as two lines in two high-dimensional spaces. We then decribe a working recognition system in which we represent these spaces discretely in a hash table. We can access this table at run time to find all the groups of model features that could match a group of image features, accounting for the effects of sensing error. We also use this representation of a model's images to demonstrate significant new limitations of two other approaches to recognition: invariants, and non- accidental properties.	-
dc.format	23 p.	-
dc.format	2278295 bytes	-
dc.format	1790124 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1353	-
dc.subject	object recognition	-
dc.subject	indexing	-
dc.subject	invariants	-
dc.subject	non-accidentalsproperties	-
dc.subject	hashing	-
dc.subject	space efficiency	-
dc.title	Space Efficient 3D Model Indexing	-
Appears in Collections:	MIT Items

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