基于最小等高线的Reeb图计算

G. Patané, M. Spagnuolo, B. Falcidieno
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引用次数: 23

摘要

给定一个流形曲面M和一个连续函数f: M rarr R, (M, f)的Reeb图是M的一个广泛使用的高级描述符,它的有用性已被证明用于各种应用,范围从形状参数化和抽象到变形和比较。在这种情况下,我们提出了一种新的计算Reeb图的方法,该方法仅基于对鞍点等等高线的分析,不需要采样或扫描f的图像。此外,所提出的方法不使用函数值的全局排序步骤,只利用f的局部信息,而不处理它作为一个整体。通过将Reeb图中的最小节点数与使用少量内存占用和临时数据结构相结合,整体计算需要O(sn)时间,其中n为M三角化的顶点数,s为f的鞍座数。最后,该技术可以很容易地扩展到计算时变函数的Reeb图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reeb graph computation based on a minimal contouring
Given a manifold surface M and a continuous function f : M rarr R, the Reeb graph of (M, f) is a widely-used high-level descriptor of M and its usefulness has been demonstrated for a variety of applications, which range from shape parameterization and abstraction to deformation and comparison. In this context, we propose a novel computation of the Reeb graph that is based on the analysis of the iso-contours solely at saddle points and does not require sampling or sweeping the image of f. Furthermore, the proposed approach does not use global sorting steps of the function values and exploits only a local information on f, without handling it as a whole. By combining the minimal number of nodes in the Reeb graph with the use of a small amount of memory footprint and temporary data structures, the overall computation takes O(sn)-time, where n is the number of vertices of the triangulation of M and s is the number of saddles of f. Finally, the technique can be easily extended to compute the Reeb graphs of time-varying functions.
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