Field-guided registration for feature-conforming shape composition

  • Authors:
  • Hui Huang;Minglun Gong;Daniel Cohen-Or;Yaobin Ouyang;Fuwen Tan;Hao Zhang

  • Affiliations:
  • Shenzhen VisuCA Key Lab/SIAT;Memorial Univ. of Newfoundland;Tel-Aviv Univ.;Shenzhen VisuCA Key Lab/SIAT;Shenzhen VisuCA Key Lab/SIAT;Simon Fraser Univ.

  • Venue:
  • ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
  • Year:
  • 2012

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Abstract

We present an automatic shape composition method to fuse two shape parts which may not overlap and possibly contain sharp features, a scenario often encountered when modeling man-made objects. At the core of our method is a novel field-guided approach to automatically align two input parts in a feature-conforming manner. The key to our field-guided shape registration is a natural continuation of one part into the ambient field as a means to introduce an overlap with the distant part, which then allows a surface-to-field registration. The ambient vector field we compute is feature-conforming; it characterizes a piecewise smooth field which respects and naturally extrapolates the surface features. Once the two parts are aligned, gap filling is carried out by spline interpolation between matching feature curves followed by piecewise smooth least-squares surface reconstruction. We apply our algorithm to obtain feature-conforming shape composition on a variety of models and demonstrate generality of the method with results on parts with or without overlap and with or without salient features.