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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…

Differential Geometry · Mathematics 2018-04-24 Laurent Younes

Many procedures in science, engineering and medicine produce data in the form of geometric shapes. Mathematically, a shape can be modeled as an un-parameterized immersed sub-manifold, which is the notion of shape used here. Endowing shape…

Differential Geometry · Mathematics 2012-11-16 Philipp Harms

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…

Differential Geometry · Mathematics 2025-03-26 Jonathan Cerqueira , Emmanuel Hartman , Eric Klassen , Martin Bauer

In this article we introduce a diffeomorphism-invariant Riemannian metric on the space of vector valued one-forms. The particular choice of metric is motivated by potential future applications in the field of functional data and shape…

Differential Geometry · Mathematics 2020-09-04 Martin Bauer , Eric Klassen , Stephen C. Preston , Zhe Su

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…

Differential Geometry · Mathematics 2009-10-01 Peter W. Michor , David Mumford

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…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Emmanuel Hartman , Yashil Sukurdeep , Eric Klassen , Nicolas Charon , Martin Bauer

In many applications, one is interested in the shape of an object, like the contour of a bone or the trajectory of joints of a tennis player, irrespective of the way these shapes are parameterized. However for analysis of these shape…

Differential Geometry · Mathematics 2023-03-22 Alice Barbora Tumpach , Stephen C. Preston

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…

Differential Geometry · Mathematics 2018-09-19 Martin Bauer , Nicolas Charon , Laurent Younes

We propose a novel framework for comparing 3D human shapes under the change of shape and pose. This problem is challenging since 3D human shapes vary significantly across subjects and body postures. We solve this problem by using a…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Emery Pierson , Mohamed Daoudi , Alice-Barbara Tumpach

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…

Differential Geometry · Mathematics 2015-07-01 Martin Bauer , Martins Bruveris , Philipp Harms , Jakob Møller-Andersen

The aim of this paper is to investigate the differential geometry of immersed surfaces in three-dimensional normed spaces from the viewpoint of affine differential geometry. We endow the surface with a useful Riemannian metric which is…

Differential Geometry · Mathematics 2017-09-06 Vitor Balestro , Horst Martini , Ralph Teixeira

This article develops a unified and intrinsic framework for the theory of Sobolev spaces on vector bundles over Riemannian manifolds. The analytical core of our approach is an explicit higher-order geometric integration by parts formula,…

Analysis of PDEs · Mathematics 2026-05-19 Velázquez-Mendoza Carlos Daniel , Sandoval-Romero María de los Ángeles

Anatomical variabilities seen in longitudinal data or inter-subject data is usually described by the underlying deformation, captured by non-rigid registration of these images. Stationary Velocity Field (SVF) based non-rigid registration…

Computer Vision and Pattern Recognition · Computer Science 2021-01-05 Alphin J. Thottupattu , Jayanthi Sivaswamy , Venkateswaran P. Krishnan

We study fractional Sobolev and Besov spaces on noncompact Riemannian manifolds with bounded geometry. Usually, these spaces are defined via geodesic normal coordinates which, depending on the problem at hand, may often not be the best…

Functional Analysis · Mathematics 2013-10-31 Cornelia Schneider , Nadine Große

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…

Differential Geometry · Mathematics 2017-03-16 Alice Le Brigant

A classical theorem, mainly due to Aleksandrov and Pogorelov, states that any Riemannian metric on $S^2$ with curvature $K>-1$ is induced on a unique convex surface in $H^3$. A similar result holds with the induced metric replaced by the…

Differential Geometry · Mathematics 2016-09-07 Jean-Marc Schlenker

We show Riemannian geometry could be studied by identifying the tangent bundle of a Riemannian manifold $\mathcal{M}$ with a subbundle of the trivial bundle $\mathcal{M} \times \mathcal{E}$, obtained by embedding $\mathcal{M}$…

Differential Geometry · Mathematics 2021-05-05 Du Nguyen

Let $M$ and $N$ be connected manifolds without boundary with $\dim(M) < \dim(N)$, and let $M$ compact. Then shape space in this work is either the manifold of submanifolds of $N$ that are diffeomorphic to $M$, or the orbifold of…

Differential Geometry · Mathematics 2012-03-19 Martin Bauer , Philipp Harms , Peter W. Michor

We consider in this paper an area functional defined on submanifolds of fixed degree immersed into a graded manifold equipped with a Riemannian metric. Since the expression of this area depends on the degree, not all variations are…

Differential Geometry · Mathematics 2021-12-21 Giovanna Citti , Gianmarco Giovannardi , Manuel Ritoré

The differential-geometric structure of the manifold of smooth shapes is applied to the theory of shape optimization problems. In particular, a Riemannian shape gradient with respect to the first Sobolev metric and the Steklov-Poincar\'{e}…

Optimization and Control · Mathematics 2021-01-18 Kathrin Welker
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