Variational sphere set approximation for solid objects

  • Authors:
  • Rui Wang;Kun Zhou;John Snyder;Xinguo Liu;Hujun Bao;Qunsheng Peng;Baining Guo

  • Affiliations:
  • State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, P.R. China;Microsoft Research Asia, Beijing, China;Microsoft Research, Redmond, WA, USA;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, P.R. China;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, P.R. China;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, Zhejiang, P.R. China;Microsoft Research Asia, Beijing, China

  • Venue:
  • The Visual Computer: International Journal of Computer Graphics
  • Year:
  • 2006

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Abstract

We approximate a solid object represented as a triangle mesh by a bounding set of spheres having minimal summed volume outside the object. We show how outside volume for a single sphere can be computed using a simple integration over the object’s triangles. We then minimize the total outside volume over all spheres in the set using a variant of iterative Lloyd clustering that splits the mesh points into sets and bounds each with an outside volume-minimizing sphere. The resulting sphere sets are tighter than those of previous methods. In experiments comparing against a state-of-the-art alternative (adaptive medial axis), our method often requires half as many spheres, or fewer, to obtain the same error, under a variety of error metrics including total outside volume, shadowing fidelity, and proximity measurement.