Efficient maximal Poisson-disk sampling and remeshing on surfaces
Jianwei Guo, Dong-Ming Yan, Xiaohong Jia, Xiaopeng Zhang
In Computers & Graphics, 46(0), 2015.
Abstract: Poisson-disk sampling is one of the fundamental research problems in computer graphics that has many applications. In this paper, we study the problem of maximal Poisson-disk sampling on mesh surfaces. We present a simple approach that generalizes the 2D maximal sampling framework to surfaces. The key observation is to use a subdivided mesh as the sampling domain for conflict checking and void detection. Our approach improves the state-of-the-art approach in efficiency, quality and the memory consumption.
Keyword(s): Maximal Poisson-disk sampling,Remeshing,Blue-noise
Article URL: http://dx.doi.org/10.1016/j.cag.2014.09.015
BibTeX format:
@article{Guo:2015:EMP,
  author = {Jianwei Guo and Dong-Ming Yan and Xiaohong Jia and Xiaopeng Zhang},
  title = {Efficient maximal Poisson-disk sampling and remeshing on surfaces},
  journal = {Computers & Graphics},
  volume = {46},
  number = {0},
  pages = {72--79},
  year = {2015},
}
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