Computing and Visualizing a Graph-Based Decomposition for Non-manifold Shapes

  • Authors:
  • Leila Floriani;Daniele Panozzo;Annie Hui

  • Affiliations:
  • Department of Computer Science, University of Genova, Italy;Department of Computer Science, University of Genova, Italy;Department of Computer Science, University of Maryland, USA

  • Venue:
  • GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
  • Year:
  • 2009

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Abstract

Modeling and understanding complex non-manifold shapes is a key issue in shape analysis and retrieval. The topological structure of a non-manifold shape can be analyzed through its decomposition into a collection of components with a simpler topology. Here, we consider a decomposition of a non-manifold shape into components which are almost manifolds, and we present a novel graph representation which highlights the non-manifold singularities shared by the components as well as their connectivity relations. We describe an algorithm for computing the decomposition and its associated graph representation. We present a new tool for visualizing the shape decomposition and its graph as an effective support to modeling, analyzing and understanding non-manifold shapes.