Reducing Drift in Parametric Motion Tracking

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6078

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DC Field	Value	Language
dc.creator	Rahimi, A.	-
dc.creator	Morency, L.-P.	-
dc.creator	Darrell, T.	-
dc.date	2004-10-04T14:37:42Z	-
dc.date	2004-10-04T14:37:42Z	-
dc.date	2001-05-07	-
dc.date.accessioned	2013-10-09T02:42:45Z	-
dc.date.available	2013-10-09T02:42:45Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-2001-008	-
dc.identifier	http://hdl.handle.net/1721.1/6078	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We develop a class of differential motion trackers that automatically stabilize when in finite domains. Most differ-ential trackers compute motion only relative to one previous frame, accumulating errors indefinitely. We estimate pose changes between a set of past frames, and develop a probabilistic framework for integrating those estimates. We use an approximation to the posterior distribution of pose changes as an uncertainty model for parametric motion in order to help arbitrate the use of multiple base frames. We demonstrate this framework on a simple 2D translational tracker and a 3D, 6-degree of freedom tracker.	-
dc.format	8757672 bytes	-
dc.format	1663085 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-2001-008	-
dc.title	Reducing Drift in Parametric Motion Tracking	-
Appears in Collections:	MIT Items

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