Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves

نویسندگان

  • Shantanu H. Joshi
  • Eric Klassen
  • Anuj Srivastava
  • Ian H. Jermyn
چکیده

This paper illustrates and extends an efficient framework, called the square-root-elastic (SRE) framework, for studying shapes of closed curves, that was first introduced in [2]. This framework combines the strengths of two important ideas - elastic shape metric and path-straightening methods - for finding geodesics in shape spaces of curves. The elastic metric allows for optimal matching of features between curves while path-straightening ensures that the algorithm results in geodesic paths. This paper extends this framework by removing two important shape preserving transformations: rotations and re-parameterizations, by forming quotient spaces and constructing geodesics on these quotient spaces. These ideas are demonstrated using experiments involving 2D and 3D curves.

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عنوان ژورنال:
  • Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition

دوره 4679  شماره 

صفحات  -

تاریخ انتشار 2007