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    Tetrahedral meshing via maximal Poisson-disk sampling

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    1-s2.0-S016783961630005X-main.pdf
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    8.168Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Guo, Jianwei cc
    Yan, Dongming cc
    Chen, Li
    Zhang, Xiaopeng
    Deussen, Oliver
    Wonka, Peter cc
    KAUST Department
    Computer Science Program
    Visual Computing Center (VCC)
    Date
    2016-02-15
    Online Publication Date
    2016-02-15
    Print Publication Date
    2016-03
    Permanent link to this record
    http://hdl.handle.net/10754/596364
    
    Metadata
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    Abstract
    In this paper, we propose a simple yet effective method to generate 3D-conforming tetrahedral meshes from closed 2-manifold surfaces. Our approach is inspired by recent work on maximal Poisson-disk sampling (MPS), which can generate well-distributed point sets in arbitrary domains. We first perform MPS on the boundary of the input domain, we then sample the interior of the domain, and we finally extract the tetrahedral mesh from the samples by using 3D Delaunay or regular triangulation for uniform or adaptive sampling, respectively. We also propose an efficient optimization strategy to protect the domain boundaries and to remove slivers to improve the meshing quality. We present various experimental results to illustrate the efficiency and the robustness of our proposed approach. We demonstrate that the performance and quality (e.g., minimal dihedral angle) of our approach are superior to current state-of-the-art optimization-based approaches.
    Citation
    Tetrahedral meshing via maximal Poisson-disk sampling 2016 Computer Aided Geometric Design
    Publisher
    Elsevier BV
    Journal
    Computer Aided Geometric Design
    DOI
    10.1016/j.cagd.2016.02.004
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S016783961630005X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cagd.2016.02.004
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC)

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