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arXiv 1507.08816math.DGcs.NAmath.NA
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二阶弹性度量在曲线形状空间上

Second order elastic metrics on the shape space of curves

Technical University of Vienna(维也纳工业大学);Brunel University London(布鲁内尔伦敦大学);ETH Zürich(苏黎世联邦理工学院);Technical University of Denmark(丹麦技术大学)

Martin Bauer, Martins Bruveris, Philipp Harms, Jakob Møller-Andersen

AI总结:

本文提出算法解决曲线形状空间上二阶Sobolev度量的初值和边界值问题,用于计算Riemann梯度优化下的Karcher均值,且允许自由选择度量权重常数。

摘要:

第二阶Sobolev度量在正则无参数平面曲线空间上具有若干 desirable 完整性性质,这些性质在低阶度量中不存在,但数值方法仍较为匮乏。本文提出了算法来数值求解测地线的初值和边界值问题。这些算法的结合允许在Riemann梯度优化方案中计算Karcher均值。我们的框架的优势在于确定度量权重的零阶、一阶和二阶项的常数可以自由选择。此外,由于其通用性,它可能应用于更一般的映射空间。我们通过分析一组代表物理对象的形状集合来展示本方法的有效性。

英文摘要:

Second order Sobolev metrics on the space of regular unparametrized planar curves have several desirable completeness properties not present in lower order metrics, but numerics are still largely missing. In this paper, we present algorithms to numerically solve the initial and boundary value problems for geodesics. The combination of these algorithms allows to compute Karcher means in a Riemannian gradient-based optimization scheme. Our framework has the advantage that the constants determining the weights of the zero, first, and second order terms of the metric can be chosen freely. Moreover, due to its generality, it could be applied to more general spaces of mapping. We demonstrate the effectiveness of our approach by analyzing a collection of shapes representing physical objects.

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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