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Object matching using deformable templates

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3 Author(s)
Jain, A.K. ; Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA ; Yu Zhong ; Lakshmanan, S.

We propose a general object localization and retrieval scheme based on object shape using deformable templates. Prior knowledge of an object shape is described by a prototype template which consists of the representative contour/edges, and a set of probabilistic deformation transformations on the template. A Bayesian scheme, which is based on this prior knowledge and the edge information in the input image, is employed to find a match between the deformed template and objects in the image. Computational efficiency is achieved via a coarse-to-fine implementation of the matching algorithm. Our method has been applied to retrieve objects with a variety of shapes from images with complex background. The proposed scheme is invariant to location, rotation, and moderate scale changes of the template

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:18 ,  Issue: 3 )

Date of Publication:

Mar 1996

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