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Multi-region Delaunay complex segmentation

机译:多区域Delaunay复杂分割

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摘要

We focus on the problem of segmenting scattered point data into multiple regions in a single segmentation pass. To solve this problem, we begin with a set of potential boundary points and use a Delaunay triangulation to complete the boundaries. We then use information from the triangulation and its dual Voronoi complex to determine for each face whether it resembles a boundary or interior face, allowing a user to choose a specific segmentation by keeping only faces where our parameter is above a threshold. The resulting algorithm has time complexity in O(nd), where n is the number of Delaunay simplices.
机译:我们专注于在单个分割遍中将散点数据分割为多个区域的问题。为了解决这个问题,我们从一组潜在的边界点开始,并使用Delaunay三角剖分来完成边界。然后,我们使用三角剖分及其双重Voronoi复合体中的信息来确定每张脸是边框还是内部脸,从而允许用户通过仅保留参数高于阈值的脸来选择特定的分割。所得算法的时间复杂度为O(nd),其中n是Delaunay单纯形的数量。

著录项

  • 来源
    《Computer Aided Geometric Design 》 |2013年第6期| 588-596| 共9页
  • 作者单位

    Institute for Data Analysis and Visualization, Department of Computer Science, University of California, Davis, United States,Los Alamos National Laboratory, United States;

    Scientific Visualization Group, Universita't Leipzig, Germany,Institute for Data Analysis and Visualization, Department of Computer Science, University of California, Davis, United States;

    Pacific Northwest National Laboratory, United States;

    Los Alamos National Laboratory, United States;

    Institute for Data Analysis and Visualization, Department of Computer Science, University of California, Davis, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Medial axis; Segmentation; Surface reconstruction; Feature extraction;

    机译:中间轴;分割;表面重建;特征提取;

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