Guaranteed-quality mesh generation for curved surfaces
SCG '93 Proceedings of the ninth annual symposium on Computational geometry
Triangulating topological spaces
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A Delaunay refinement algorithm for quality 2-dimensional mesh generation
SODA '93 Selected papers from the fourth annual ACM SIAM symposium on Discrete algorithms
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Properties of the Delaunay triangulation
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Delaunay triangulations and Voronoi diagrams for Riemannian manifolds
Proceedings of the sixteenth annual symposium on Computational geometry
Optimizing 3D triangulations using discrete curvature analysis
Mathematical Methods for Curves and Surfaces
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Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Delaunay refinement mesh generation
Delaunay refinement mesh generation
Sampling and meshing a surface with guaranteed topology and geometry
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Geodesic Delaunay triangulation and witness complex in the plane
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Technical Section: Variational implicit surface meshing
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Gabriel meshes and Delaunay edge flips
2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling
Progressive lossless mesh compression via incremental parametric refinement
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Geodesic delaunay triangulations in bounded planar domains
ACM Transactions on Algorithms (TALG)
ACM SIGGRAPH 2010 Courses
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ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
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Computers and Graphics
Isotropic Surface Remeshing Using Constrained Centroidal Delaunay Mesh
Computer Graphics Forum
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We present algorithms to produce Delaunay meshes from arbitrary triangle meshes by edge flipping and geometrypreserving refinement and prove their correctness. In particular we show that edge flipping serves to reduce mesh surface area, and that a poorly sampled input mesh may yield unflippable edges necessitating refinement to ensure a Delaunay mesh output. Multiresolution Delaunay meshes can be obtained via constrained mesh decimation. We further examine the usefulness of trading off the geometry-preserving feature of our algorithm with the ability to create fewer triangles. We demonstrate the performance of our algorithms through several experiments.