COMPUTING DISTANCES AND GEODESICS BETWEEN MANIFOLD-VALUED CURVES IN THE SRV FRAMEWORK

摘要

This paper focuses on the study of open curves in a Riemannian manifold M, and proposes a reparameterization invariant metric on the space of such paths. We use the square root velocity function (SRVF) introduced by Srivastava et al. in [29] to define a Riemannian metric on the space of immersions Mu = Imm([0, 1], M) by pullback of a natural metric on the tangent bundle T Mu. This induces a first-order Sobolev metric on Mu and leads to a distance which takes into account the distance between the origins in M and the L-2-distance between the SRV representations of the curves. The geodesic equations for this metric are given and exploited to define an exponential map on Mu. The optimal deformation of one curve into another can then be constructed using geodesic shooting, which requires to characterize the Jacobi fields of Mu. The particular case of curves lying in the hyperbolic half-plane H is considered as an example, in the setting of radar signal processing.