Volume decomposition and hierarchical skeletonization

  • Authors:
  • Xiaopeng Zhang;Jianfei Liu;Zili Li;Marc Jaeger

  • Affiliations:
  • Institute of Automation, Beijing, China;Institute of Automation, Beijing, China;Huazhong Univ. of Sci. & Tech., Hubei, China;CIRAD-AMAP / INRIA-Saclay, Montpellier CEDEX, France

  • Venue:
  • VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
  • Year:
  • 2008

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Abstract

Skeletons and shape components are important shape features, and they are useful for shape description and shape understanding. Techniques to extract these features from volume data are analyzed in this paper based on multiple distance transformations. This work includes an establishment of the hierarchical structure of the object volume, a decomposition of the volume into simple sub-volumes, an extraction of compact skeleton segments corresponding to each independent sub-volume, and a connection of these skeleton segments into a hierarchical structure corresponding to that of the original volume. Applications of this algorithm can be shape recognition, shape measurement, navigation planning, and others.