Shape Matching by Elastic Deformation

نویسندگان

  • Simone Santini
  • Jorge Sanz
  • Alberto Del Bimbo
چکیده

In this paper we present a new one-dimensional shape matching technique based on elastic deformation of a model or template. Deformations of the given template are introduced as a way to improve the matching with the image data. A trade-o is made between the amount of deformation and a gure of merit that accounts for the match. This approach yields a new optimization functional so that the optimal match for a given shape is expressed as a solution of a variational problem. Numerical methods are presented to solve the resulting system of ordinary di erential equations. This new matching technique can be used for pattern recognition applications where binarizing images s hard or impossible. An illustration of the nre shape matching method is shown for several optical character recognition problems.

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تاریخ انتشار 1994