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Computing Reeb Graphs as a Union of Contour Trees

机译:计算Reeb图作为轮廓树的并集

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The Reeb graph of a scalar function tracks the evolution of the topology of its level sets. This paper describes a fast algorithm to compute the Reeb graph of a piecewise-linear (PL) function defined over manifolds and non-manifolds. The key idea in the proposed approach is to maximally leverage the efficient contour tree algorithm to compute the Reeb graph. The algorithm proceeds by dividing the input into a set of subvolumes that have loop-free Reeb graphs using the join tree of the scalar function and computes the Reeb graph by combining the contour trees of all the subvolumes. Since the key ingredient of this method is a series of union-find operations, the algorithm is fast in practice. Experimental results demonstrate that it outperforms current generic algorithms by a factor of up to two orders of magnitude, and has a performance on par with algorithms that are catered to restricted classes of input. The algorithm also extends to handle large data that do not fit in memory.
机译:标量函数的Reeb图跟踪其级别集的拓扑结构演化。本文介绍了一种快速算法,用于计算在流形和非流形上定义的分段线性(PL)函数的Reeb图。提出的方法的关键思想是最大程度地利用有效的轮廓树算法来计算Reeb图。该算法通过使用标量函数的连接树将输入划分为具有无循环Reeb图的子体积集,并通过组合所有子体积的轮廓树来计算Reeb图。由于此方法的关键要素是一系列联合查找操作,因此该算法在实践中速度很快。实验结果表明,它的性能比当前的通用算法高出两个数量级,并且性能与可满足受限输入类别的算法相当。该算法还扩展为处理内存中不适合的大数据。

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