Recursive geometry of the flow complex and topology of the flow complex filtration

  • Authors:
  • Kevin Buchin;Tamal K. Dey;Joachim Giesen;Matthias John

  • Affiliations:
  • Institute of Computer Science, Freie Universität Berlin, Takustraße 9, D-14195 Berlin, Germany;Department of Computer Science and Engineering, The Ohio State University, 2015 Neil Avenue, Columbus, OH 43210, USA;Max-Planck-Institut für Informatik, Department 1: Algorithms and Complexity, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany;Institut für Theoretische Informatik, ETH Zurich, Universitätstraße 6, 8092 Zürich, Switzerland

  • Venue:
  • Computational Geometry: Theory and Applications
  • Year:
  • 2008

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Abstract

The flow complex is a geometric structure, similar to the Delaunay tessellation, to organize a set of (weighted) points in R^k. Flow shapes are topological spaces corresponding to substructures of the flow complex. The flow complex and flow shapes have found applications in surface reconstruction, shape matching, and molecular modeling. In this article we give an algorithm for computing the flow complex of weighted points in any dimension. The algorithm reflects the recursive structure of the flow complex. On the basis of the algorithm we establish a topological similarity between flow shapes and the nerve of a corresponding ball set, namely homotopy equivalence.