Manifold t-spline

  • Authors:
  • Ying He;Kexiang Wang;Hongyu Wang;Xianfeng Gu;Hong Qin

  • Affiliations:
  • Center for Visual Computing (CVC) and Department of Computer Science, Stony Brook University, Stony Brook, NY;Center for Visual Computing (CVC) and Department of Computer Science, Stony Brook University, Stony Brook, NY;Center for Visual Computing (CVC) and Department of Computer Science, Stony Brook University, Stony Brook, NY;Center for Visual Computing (CVC) and Department of Computer Science, Stony Brook University, Stony Brook, NY;Center for Visual Computing (CVC) and Department of Computer Science, Stony Brook University, Stony Brook, NY

  • Venue:
  • GMP'06 Proceedings of the 4th international conference on Geometric Modeling and Processing
  • Year:
  • 2006

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Abstract

This paper develops the manifold T-splines, which naturally extend the concept and the currently available algorithms/techniques of the popular planar tensor-product NURBS and T-splines to arbitrary manifold domain of any topological type. The key idea is the global conformal parameterization that intuitively induces a tensor-product structure with a finite number of zero points, and hence offering a natural mechanism for generalizing the tensor-product splines throughout the entire manifold. In our shape modeling framework, the manifold T-splines are globally well-defined except at a finite number of extraordinary points, without the need of any tedious trimming and patching work. We present an efficient algorithm to convert triangular meshes to manifold T-splines. Because of the natural, built-in hierarchy of T-splines, we can easily reconstruct a manifold T-spline surface of high-quality with LOD control and hierarchical structure.