Shape Recovery of Mail Pieces Using Deformable Models
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Abstract
A system for classification of mail pieces using range images is proposed. Position, orientation, size and shape parameters of volumetric models of single mail pieces are recovered using least squares minimization of a fitting function. The models are superquadrics with global deformations. The recovered parameters serve for classification.
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1988-07-01
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University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-88-57.