Shape of Elastic Strings in Euclidean Space

  • Authors:
  • Washington Mio;John C. Bowers;Xiuwen Liu

  • Affiliations:
  • Department of Mathematics, Florida State University, Tallahassee, USA 32306-4510;Department of Computer Science, Florida State University, Tallahassee, USA 32306-4530;Department of Computer Science, Florida State University, Tallahassee, USA 32306-4530

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2009

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Abstract

We construct a 1-parameter family of geodesic shape metrics on a space of closed parametric curves in Euclidean space of any dimension. The curves are modeled on homogeneous elastic strings whose elasticity properties are described in terms of their tension and rigidity coefficients. As we change the elasticity properties, we obtain the various elastic models. The metrics are invariant under reparametrizations of the curves and induce metrics on shape space. Analysis of the geometry of the space of elastic strings and path spaces of elastic curves enables us to develop a computational model and algorithms for the estimation of geodesics and geodesic distances based on energy minimization. We also investigate a curve registration procedure that is employed in the estimation of shape distances and can be used as a general method for matching the geometric features of a family of curves. Several examples of geodesics are given and experiments are carried out to demonstrate the discriminative quality of the elastic metrics.