王鹏飞
副研究员
所属院部: 软件学院
访问次数:
论文成果
Robustly computing restricted Voronoi diagrams (RVD) on thin-plate models
  • 发表刊物:
    Computer Aided Geometric Design
  • 关键字:
    Geometry processing, Restricted Voronoi diagram, Thin plate, Tubular shape,
  • 摘要:
    Voronoi diagram based partitioning of a 2-manifold surface in R3 is a fundamental operation in the field of geometry processing. However, when the input object is a thinplate model or contains thin branches, the traditional restricted Voronoi diagrams (RVD) cannot induce a manifold structure that is conformal to the original surface. Yan et al. (2014) are the first who proposed a localized RVD (LRVD) algorithm to handle this issue. Their algorithm is based on a face-level clustering technique, followed by a sequence of bisector clipping operations. It may fail when the input model has long and thin triangles. In this paper, we propose a more elegant/robust algorithm for computing RVDs on models with thin plates or even tubular parts. Our idea is inspired by such a fact: the desired RVD must guarantee that each site dominates a single region that is topologically identical to a disk. Therefore, when a site dominates disconnected subregions, we identify those ownerless regions and re-partition them to the nearby sites using a simple and fast local Voronoi partitioning operation. For each site that dominates a tubular part, we suggest add two more sites such that the three sites are almost rotational symmetric. Our approach is easy to implement and more robust to challenging cases than the state-of-the-art approach.
  • 全部作者:
    Dongming Yan,Yuanfeng Zhou,Caiming Zhang
  • 第一作者:
    Pengfei Wang
  • 论文类型:
    期刊论文
  • 通讯作者:
    Shiqing Xin,Changhe Tu
  • 学科门类:
    工学
  • 一级学科:
    计算机科学与技术
  • 文献类型:
    J
  • 是否译文:
  • 发表时间:
    2020-10-01
  • 收录刊物:
    SCI
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