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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2427

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dc.contributor.authorHanmandlu, M-
dc.contributor.authorRangaiah, C-
dc.contributor.authorBiswas, K K-
dc.date.accessioned2007-01-12T09:57:15Z-
dc.date.available2007-01-12T09:57:15Z-
dc.date.issued1992-
dc.identifier.citationImage and Vision Computing, 10(9), 578-588p.en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/2427-
dc.description.abstractWe propose a new method for the recognition of objects from range data by matching the features of the observed surfaces in the scene with the features of the model surfaces. The surfaces are represented as quadrics in which planes are treated as a special case. The parameters of quadrics are converted into features which include Euler parameters accounting for the orientation of the surface. The matching process consists of finding a transformation of the model surfaces and devising a measure of consistency, such that the mean square error between the feature space is a minimum. The matching involves a tree search procedure with backtracking whenever error exceeds the limit.en
dc.format.extent433801 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectobject recognitionen
dc.subjectfeature matchingen
dc.subjecttree searchen
dc.subjectbacktrackingen
dc.titleQuadrics-based matching technique for 3D object recognitionen
dc.typeArticleen
Appears in Collections:Electrical Engineering

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