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Recognizing 3-D Objects Using 2-D Images

dc.date.accessioned2004-10-20T19:55:20Z
dc.date.accessioned2018-11-24T10:21:53Z
dc.date.available2004-10-20T19:55:20Z
dc.date.available2018-11-24T10:21:53Z
dc.date.issued1993-04-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6796
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6796
dc.description.abstractWe discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most space efficient possible method of representing 3-D models for indexing from 2-D data, and show how to account for sensing error when indexing. We also present a convex grouping method that is robust and efficient, both theoretically and in practice. Finally, we combine these modules into a complete recognition system, and test its performance on many real images.en_US
dc.format.extent269 p.en_US
dc.format.extent3519825 bytes
dc.format.extent7005877 bytes
dc.language.isoen_US
dc.subjectgroupingen_US
dc.subjectindexingen_US
dc.subjectrecognitionen_US
dc.subjectinvariantsen_US
dc.subjectsensing erroen_US
dc.subjectsnon-accidental propertiesen_US
dc.titleRecognizing 3-D Objects Using 2-D Imagesen_US


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