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arXiv 2401.04743math.DG
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流形中曲线间的最优匹配

Optimal matching between curves in a manifold

Alice Le Brigant, Marc Arnaudon, Frédéric Barbaresco

AI总结:

本文研究流形值曲线间的最优匹配,将曲线视为无穷维流形元素并使用重参数化群不变的黎曼度量,提出一种基于主丛路径典范分解的算法计算商形状空间测地线,并在弹性度量下对平面、双曲平面和球面上的开曲线进行了模拟。

摘要:

本文关注两条流形值曲线间最优匹配的计算。曲线被视为无穷维流形的元素,并使用在重参数化群作用下不变的黎曼度量进行比较。该群诱导出一个商结构,通常被解释为“形状空间”。我们提出了一种简单算法,利用关联主丛中路径的典范分解来计算商形状空间的测地线。我们考虑了弹性度量的特殊情况,并展示了平面、双曲平面和球面上开曲线的模拟。

英文摘要:

This paper is concerned with the computation of an optimal matching between two manifold-valued curves. Curves are seen as elements of an infinite-dimensional manifold and compared using a Riemannian metric that is invariant under the action of the reparameterization group. This group induces a quotient structure classically interpreted as the ''shape space''. We introduce a simple algorithm allowing to compute geodesics of the quotient shape space using a canonical decomposition of a path in the associated principal bundle. We consider the particular case of elastic metrics and show simulations for open curves in the plane, the hyperbolic plane and the sphere.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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