Recognizing 3D Ojbects of 2D Images: An Error Analysis

dc.creator	Grimson, W. Eric
dc.creator	Huttenlocher, Daniel P.
dc.creator	Alter, T. D.
dc.date	2004-10-04T14:24:10Z
dc.date	2004-10-04T14:24:10Z
dc.date	1992-07-01
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-1362
dc.identifier	http://hdl.handle.net/1721.1/5959
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Many object recognition systems use a small number of pairings of data and model features to compute the 3D transformation from a model coordinate frame into the sensor coordinate system. With perfect image data, these systems work well. With uncertain image data, however, their performance is less clear. We examine the effects of 2D sensor uncertainty on the computation of 3D model transformations. We use this analysis to bound the uncertainty in the transformation parameters, and the uncertainty associated with transforming other model features into the image. We also examine the impact of the such transformation uncertainty on recognition methods.
dc.format	32 p.
dc.format	137449 bytes
dc.format	547073 bytes
dc.format	application/octet-stream
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1362
dc.subject	object recognition
dc.subject	error analysis
dc.title	Recognizing 3D Ojbects of 2D Images: An Error Analysis

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