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dc.contributor.authorSclaroff, Stanen_US
dc.date.accessioned2011-10-20T04:32:20Z
dc.date.available2011-10-20T04:32:20Z
dc.date.issued1995-09-12
dc.identifier.citationSclaroff, Stan. "Deformable Prototypes for Encoding Shape Categories in Image Databases“, Technical Report BUCS-1995-017, Computer Science Department, Boston University, September 12, 1995. [Available from: http://hdl.handle.net/2144/1576]
dc.identifier.urihttps://hdl.handle.net/2144/1576
dc.description.abstractWe describe a method for shape-based image database search that uses deformable prototypes to represent categories. Rather than directly comparing a candidate shape with all shape entries in the database, shapes are compared in terms of the types of nonrigid deformations (differences) that relate them to a small subset of representative prototypes. To solve the shape correspondence and alignment problem, we employ the technique of modal matching, an information-preserving shape decomposition for matching, describing, and comparing shapes despite sensor variations and nonrigid deformations. In modal matching, shape is decomposed into an ordered basis of orthogonal principal components. We demonstrate the utility of this approach for shape comparison in 2-D image databases.en_US
dc.description.sponsorshipOffice of Naval Research (Young Investigator Award N00014-06-1-0661)en_US
dc.language.isoen_US
dc.publisherBoston University Computer Science Departmenten_US
dc.relation.ispartofseriesBUCS Technical Reports;BUCS-TR-1995-017
dc.subjectDeformable modelsen_US
dc.subjectDeformable templatesen_US
dc.subjectCombinations of modelsen_US
dc.subjectShape matchingen_US
dc.subjectModal matchingen_US
dc.titleDeformable Prototypes for Encoding Shape Categories in Image Databasesen_US
dc.typeTechnical Reporten_US


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