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Delaunay triangulations of polyhedral surfaces, a discrete Laplace-Beltrami operator and applications
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Annual Symposium on Computational Geometry archive
Proceedings of the twenty-fourth annual symposium on Computational geometry table of contents
College Park, MD, USA
Pages 38-38  
Year of Publication: 2008
ISBN:978-1-60558-071-5
Author
Alexander I. Bobenko  TU Berlin, Berlin, Germany
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

A simplicial surface provides its carrier with a natural triangulation whose vertex set includes the cone points and the corners of the boundary. However, this triangulation is not intrinsically distinguished from other triangulations with the same vertex set, it is not preserved under isometric deformations of the surface. Delaunay tessellations of polyhedral surfaces are defined intrinsically in terms of empty discs on surfaces. The edges of Delaunay tessellations are geodesics on the original polyhedral surface (and not necessarily straight edges in the 3-space). For any polyhedral surface there exists a unique Delaunay tessellation. It is not necessarily strongly regular, i.e. the intersection of two closed cells may not be a single closed cell.

For discretization of notions of Riemannian geometry it is natural to deal with intrinsic tessellations. We define a discrete Laplace-Beltrami operator for simplicial surfaces. It depends only on the intrinsic geometry of the surface and its edge weights are positive. The intrinsic Laplace-Beltrami operator is based on an intrinsic Delaunay triangulation of the surface. We describe an incremental flipping algorithm to construct such triangulations together with an overlay structure which captures the relationship between the extrinsic and intrinsic triangulations. We demonstrate some numerical benefits of the intrinsic Laplace-Beltrami operator.

This talk is based on the original results obtained in [1] and [2].



Collaborative Colleagues:
Alexander I. Bobenko: colleagues