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A main goal in the field of statistical shape analysis is to define computable and informative metrics on spaces of immersed manifolds, such as the space of curves in a Euclidean space. The approach taken in the elastic shape analysis…

In the elastic shape analysis approach to shape matching and object classification, plane curves are represented as points in an infinite-dimensional Riemannian manifold, wherein shape dissimilarity is measured by geodesic distance. A…

微分几何 · 数学 2018-07-11 Tom Needham

In this paper we study a class of Riemannian metrics on the space of unparametrized curves and develop a method to compute geodesics with given boundary conditions. It extends previous works on this topic in several important ways. The…

微分几何 · 数学 2018-09-21 Martin Bauer , Martins Bruveris , Nicolas Charon , Jakob Møller-Andersen

Metrics on shape space are used to describe deformations that take one shape to another, and to determine a distance between them. We study a family of metrics on the space of curves, that includes several recently proposed metrics, for…

微分几何 · 数学 2014-10-07 Martin Bauer , Martins Bruveris , Stephen Marsland , Peter W. Michor

We consider spaces of smooth immersed plane curves (modulo translations and/or rotations), equipped with reparameterization invariant weak Riemannian metrics involving second derivatives. This includes the full $H^2$-metric without zero…

微分几何 · 数学 2015-11-12 Martin Bauer , Martins Bruveris , Peter W. Michor

This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics. More specifically, we address the computation of geodesics and geodesic…

计算机视觉与模式识别 · 计算机科学 2025-01-07 Emmanuel Hartman , Yashil Sukurdeep , Eric Klassen , Nicolas Charon , Martin Bauer

Reparametrization invariant Sobolev metrics on spaces of regular curves have been shown to be of importance in the field of mathematical shape analysis. For practical applications, one usually discretizes the space of smooth curves and…

微分几何 · 数学 2025-03-26 Jonathan Cerqueira , Emmanuel Hartman , Eric Klassen , Martin Bauer

This paper studies a specific metric on plane curves that has the property of being isometric to classical manifold (sphere, complex projective, Stiefel, Grassmann) modulo change of parametrization, each of these classical manifolds being…

微分几何 · 数学 2008-05-05 Peter W. Michor , David Mumford , Jayant Shah , Laurent Younes

Here shape space is either the manifold of simple closed smooth unparameterized curves in $\mathbb R^2$ or is the orbifold of immersions from $S^1$ to $\mathbb R^2$ modulo the group of diffeomorphisms of $S^1$. We investige several…

微分几何 · 数学 2009-10-01 Peter W. Michor , David Mumford

In the recent years, Riemannian shape analysis of curves and surfaces has found several applications in medical image analysis. In this paper we present a numerical discretization of second order Sobolev metrics on the space of regular…

微分几何 · 数学 2015-07-01 Martin Bauer , Martins Bruveris , Philipp Harms , Jakob Møller-Andersen

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…

微分几何 · 数学 2019-10-08 Laurent Younes

Statistical shape analysis can be done in a Riemannian framework by endowing the set of shapes with a Riemannian metric. Sobolev metrics of order two and higher on shape spaces of parametrized or unparametrized curves have several desirable…

微分几何 · 数学 2016-10-18 Martin Bauer , Martins Bruveris , Philipp Harms , Jakob Møller-Andersen

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…

微分几何 · 数学 2016-09-08 Martin Bauer , Martins Bruveris , Philipp Harms , Jakob Møller-Andersen

In this article we introduce a family of elastic metrics on the space of parametrized surfaces in 3D space using a corresponding family of metrics on the space of vector valued one-forms. We provide a numerical framework for the computation…

微分几何 · 数学 2019-10-09 Zhe Su , Martin Bauer , Stephen C. Preston , Hamid Laga , Eric Klassen

This chapter reviews some past and recent developments in shape comparison and analysis of curves based on the computation of intrinsic Riemannian metrics on the space of curves modulo shape-preserving transformations. We summarize the…

微分几何 · 数学 2020-10-22 Martin Bauer , Nicolas Charon , Eric Klassen , Alice Le Brigant

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…

微分几何 · 数学 2024-01-11 Alice Le Brigant , Marc Arnaudon , Frédéric Barbaresco

This paper presents an overview of recent developments in the analysis of shapes such as curves and surfaces through Riemannian metrics. We show that several constructions of metrics on spaces of submanifolds can be unified through the…

微分几何 · 数学 2018-09-19 Martin Bauer , Nicolas Charon , Laurent Younes

We study reparametrization invariant Sobolev metrics on spaces of regular curves. We discuss their completeness properties and the resulting usability for applications in shape analysis. In particular, we will argue, that the development of…

微分几何 · 数学 2017-08-02 Martin Bauer , Martins Bruveris , Peter W. Michor

We consider the results of combining two approaches developed for the design of Riemannian metrics on curves and surfaces, namely parametrization-invariant metrics of the Sobolev type on spaces of immersions, and metrics derived through…

微分几何 · 数学 2018-04-24 Laurent Younes

This paper describes a novel framework for computing geodesic paths in shape spaces of spherical surfaces under an elastic Riemannian metric. The novelty lies in defining this Riemannian metric directly on the quotient (shape) space, rather…

微分几何 · 数学 2016-11-17 Alice Barbara Tumpach , Hassen Drira , Mohamed Daoudi , Anuj Srivastava
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