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arXiv 1601.02358math.DG
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在SRV框架下计算流形值曲线间的距离和测地线

Computing distances and geodesics between manifold-valued curves in the SRV framework

Alice Le Brigant

摘要:

研究了黎曼流形M中的开曲线,给出了这类开曲线空间上的一个重参数化不变度量。利用Srivastava等人提出的平方根速度函数(SRVF),通过拉回切丛TM '上的一个自然度量,定义了浸入空间M'= Imm([0,1],M)上的一个黎曼度量.这在M'上引入了一阶Sobolev度量,并导致考虑M中原点之间的距离和曲线的SRV表示之间的L2距离的距离。给出了该度量的测地线方程,并利用该方程定义了M '上的指数映射。一条曲线到另一条曲线的最佳变形可以使用测地线射击来构造,这需要表征M '的Jacobi场。在雷达信号处理的设置中,曲线位于双曲半平面的特定情况被认为是一个例子。

英文摘要:

This paper focuses on the study of open curves in a Riemannian manifold M, and proposes a reparametrization invariant metric on the space of such paths. We use the square root velocity function (SRVF) introduced by Srivastava et al. to define a Riemannian metric on the space of immersions M'=Imm([0,1],M) by pullback of a natural metric on the tangent bundle TM'. This induces a first-order Sobolev metric on M' and leads to a distance which takes into account the distance between the origins in M and the L2-distance between the SRV representations of the curves. The geodesic equations for this metric are given and exploited to define an exponential map on M'. The optimal deformation of one curve into another can then be constructed using geodesic shooting, which requires to characterize the Jacobi fields of M'. The particular case of curves lying in the hyperbolic half-plane is considered as an example, in the setting of radar signal processing.

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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