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CTFDP: An Affine Invariant Method for Matching Contours

  • Hui-Xuan Tang
  • Hui Wei
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)

Abstract

In this paper a new method for matching contours called CTFDP is presented. It is invariant to affine transform and can provide robust and accurate estimation of point correspondence between closed curves. This has all been achieved by exploiting the dynamic programming techniques in a coarse-to-fine framework. By normalizing the shape into a standard point distribution, the new method can compare different shapes despite the shearing and scaling effect of affine transform. Using the coarse-to-fine dynamic programming technique, the shapes are aligned to each other by iteratively seeking correspondences and estimating relative transform so as to prune the start points in the dynamic programming stage in turn. Experiments on artificial and real images have validated the robustness and accuracy of the presented method.

Keywords

Affine Transformation Dynamic Programming Algorithm Shape Retrieval Curve Match Dynamic Programming Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hui-Xuan Tang
    • 1
  • Hui Wei
    • 1
  1. 1.Lab of Algorithm for Cognitive Model, Department of Computer Science and EngineeringFudan UniversityShanghaiP.R. China

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