Object Recognition By Alignment Using Invariant Projections of Planar Surfaces

dc.creator	Nagao, Kanji
dc.creator	Grimson W. Eric L.
dc.date	2004-10-08T20:34:39Z
dc.date	2004-10-08T20:34:39Z
dc.date	1994-02-01
dc.date.accessioned	2013-10-09T02:46:10Z
dc.date.available	2013-10-09T02:46:10Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1463
dc.identifier	http://hdl.handle.net/1721.1/6623
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	In order to recognize an object in an image, we must determine the best transformation from object model to the image. In this paper, we show that for features from coplanar surfaces which undergo linear transformations in space, there exist projections invariant to the surface motions up to rotations in the image field. To use this property, we propose a new alignment approach to object recognition based on centroid alignment of corresponding feature groups. This method uses only a single pair of 2D model and data. Experimental results show the robustness of the proposed method against perturbations of feature positions.
dc.format	214263 bytes
dc.format	569720 bytes
dc.format	application/octet-stream
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1463
dc.title	Object Recognition By Alignment Using Invariant Projections of Planar Surfaces

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