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Curve Skeleton Extraction by Graph Contraction

机译:通过图形收缩提取曲线骨架

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摘要

In this paper, we propose a practical algorithm for extracting curve skeletons from a 3D shape represented by a triangular mesh. We first construct an initial skeleton graph by copying the connectivity and geometry information from the input mesh. We then perform iterative skeletonization over the nodes of the skeleton graph using coupled processes of graph contraction and surface clustering. In the contraction step, the skeleton graph is simplified and regularized with surface clustering: mesh vertices are clustered, while the positions of nodes in the skeleton graph are updated at the same time. Eventually, the skeleton graph is automatically simplified to an approximately-centered curve skeleton. Our algorithm naturally produces a skeleton-to-surface mapping, making the output skeletons directly applicable to skinning deformation.
机译:在本文中,我们提出了一种实用的算法,该算法可从以三角形网格表示的3D形状中提取曲线骨架。我们首先通过从输入网格复制连接性和几何信息来构造初始骨架图。然后,我们使用图收缩和表面聚类的耦合过程对骨架图的节点执行迭代骨架化。在收缩步骤中,通过曲面聚类对骨架图进行简化和正则化:对网格顶点进行聚类,同时同时更新骨架图中节点的位置。最终,骨架图将自动简化为近似居中的曲线骨架。我们的算法自然会产生骨架到表面的映射,从而使输出骨架直接适用于蒙皮变形。

著录项

  • 来源
    《Computational visual media》|2012年|178-185|共8页
  • 会议地点 Beijing(CN)
  • 作者单位

    School of Computer, National University of Defense Technology, P.R. China;

    School of Computer, National University of Defense Technology, P.R. China;

    School of Computer, National University of Defense Technology, P.R. China;

    School of Computer Science and Informatics, Cardiff University, Wales, UK;

    School of Computer, National University of Defense Technology, P.R. China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    curve skeleton extraction; graph contraction; clustering;

    机译:曲线骨架提取;图收缩聚类;

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