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      Elastic distance between curves under the metamorphosis viewpoint

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          Abstract

          We provide a new angle and obtain new results on a class of metrics on length-normalized curves in \(d\) dimensions, represented by their unit tangents expressed as a function of arc-length, which are functions from the unit interval to the \((d-1)\)-dimensional unit sphere. These metrics are derived from the combined action of diffeomorphisms (change of parameters) and arc-length-dependent rotation acting on the tangent. Minimizing a Riemannian metric balancing a right-invariant metric on diffeomorphisms and an \(L^2\) norm on the motion of tangents leads to a special case of "metamorphosis", which provides a general framework adapted to similar situations when Lie groups acts on Riemannian manifolds. Within this framework and using a Sobolev norm with order 1 on the diffeomorphism group, we generalize previous results from the literature that provide explicit geodesic distances on parametrized curves.

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          The Geometry of Algorithms with Orthogonality Constraints

          In this paper we develop new Newton and conjugate gradient algorithms on the Grassmann and Stiefel manifolds. These manifolds represent the constraints that arise in such areas as the symmetric eigenvalue problem, nonlinear eigenvalue problems, electronic structures computations, and signal processing. In addition to the new algorithms, we show how the geometrical framework gives penetrating new insights allowing us to create, understand, and compare algorithms. The theory proposed here provides a taxonomy for numerical linear algebra algorithms that provide a top level mathematical view of previously unrelated algorithms. It is our hope that developers of new algorithms and perturbation theories will benefit from the theory, methods, and examples in this paper.
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            Riemannian geometries on spaces of plane curves

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              Analysis of planar shapes using geodesic paths on shape spaces.

              For analyzing shapes of planar, closed curves, we propose differential geometric representations of curves using their direction functions and curvature functions. Shapes are represented as elements of infinite-dimensional spaces and their pairwise differences are quantified using the lengths of geodesics connecting them on these spaces. We use a Fourier basis to represent tangents to the shape spaces and then use a gradient-based shooting method to solve for the tangent that connects any two shapes via a geodesic. Using the Surrey fish database, we demonstrate some applications of this approach: 1) interpolation and extrapolations of shape changes, 2) clustering of objects according to their shapes, 3) statistics on shape spaces, and 4) Bayesian extraction of shapes in low-quality images.
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                Author and article information

                Journal
                26 April 2018
                Article
                1804.10155
                aa96d66a-d0fe-4d80-875d-6c9bbfa14daa

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                math.DG

                Geometry & Topology
                Geometry & Topology

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