A C1 globally interpolatory spline of arbitrary topology

  • Authors:
  • Ying He;Miao Jin;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

  • Venue:
  • VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
  • Year:
  • 2005

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Abstract

Converting point samples and/or triangular meshes to a more compact spline representation for arbitrarily topology is both desirable and necessary for computer vision and computer graphics. This paper presents a C1 manifold interpolatory spline that can exactly pass through all the vertices and interpolate their normals for data input of complicated topological type. Starting from the Powell-Sabin spline as a building block, we integrate the concepts of global parametrization, affine atlas, and splines defined over local, open domains to arrive at an elegant, easy-to-use spline solution for complicated datasets. The proposed global spline scheme enables the rapid surface reconstruction and facilitates the shape editing and analysis functionality.