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    Gap processing for adaptive maximal poisson-disk sampling

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    Name:
    2013.TOG.Dongming.MaximalPoissonSampling.pdf
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    40.80Mb
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    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Yan, Dongming cc
    Wonka, Peter cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Visual Computing Center (VCC)
    Date
    2013-10-17
    Online Publication Date
    2013-10-17
    Print Publication Date
    2013-09-01
    Permanent link to this record
    http://hdl.handle.net/10754/575579
    
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    Abstract
    In this article, we study the generation of maximal Poisson-disk sets with varying radii. First, we present a geometric analysis of gaps in such disk sets. This analysis is the basis for maximal and adaptive sampling in Euclidean space and on manifolds. Second, we propose efficient algorithms and data structures to detect gaps and update gaps when disks are inserted, deleted, moved, or when their radii are changed.We build on the concepts of regular triangulations and the power diagram. Third, we show how our analysis contributes to the state-of-the-art in surface remeshing. © 2013 ACM.
    Citation
    Yan D-M, Wonka P (2013) Gap processing for adaptive maximal poisson-disk sampling. ACM Transactions on Graphics 32: 1–15. Available: http://dx.doi.org/10.1145/2516971.2516973.
    Sponsors
    This research was partially funded by National Natural Science Foundation of China (no. 61372168, 61271431, 61172104 and 61331018), and the National Science Foundation.
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    ACM Transactions on Graphics
    DOI
    10.1145/2516971.2516973
    arXiv
    1211.3297
    ae974a485f413a2113503eed53cd6c53
    10.1145/2516971.2516973
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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