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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 shape analysis approach to computer vision problems, one treats shapes as points in an infinite-dimensional Riemannian manifold, thereby facilitating algorithms for statistical calculations such as geodesic distance between shapes…

微分几何 · 数学 2018-03-30 Sebastian Kurtek , Tom Needham

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

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

We propose regression models for curve-valued responses in two or more dimensions, where only the image but not the parametrization of the curves is of interest. Examples of such data are handwritten letters, movement paths or outlines of…

统计方法学 · 统计学 2023-06-16 Lisa Steyer , Almond Stöcker , Sonja Greven

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

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

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 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

Quantization needs evaluation of all of states of a quantized object rather than its stationary states with respect to its energy. In this paper, we have investigated moduli $\CMeP$ of a quantized elastica, a quantized loop with an energy…

微分几何 · 数学 2007-05-23 Shigeki Matsutani , Yoshihiro Onishi

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

In this manuscript, an original numerical procedure for the nonlinear peridynamics on arbitrarily--shaped two-dimensional (2D) closed manifolds is proposed. When dealing with non parameterized 2D manifolds at the discrete scale, the problem…

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

This paper puts forth a new formulation and algorithm for the elastic matching problem on unparametrized curves and surfaces. Our approach combines the frameworks of square root normal fields and varifold fidelity metrics into a novel…

微分几何 · 数学 2019-03-05 Martin Bauer , Nicolas Charon , Philipp Harms

Studying 2 degree-of-freedom (DOF) Hamiltonian dynamical systems often involves the computation of stable & unstable manifolds of periodic orbits, due to the homoclinic & heteroclinic connections they can generate. Such study is generally…

动力系统 · 数学 2025-09-05 Bhanu Kumar

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

A numerical scheme for computing arc-length parametrized curves of low bending energy that are confined to convex domains is devised. The convergence of the discrete formulations to a continuous model and the unconditional stability of an…

数值分析 · 数学 2022-03-18 Sören Bartels , Pascal Weyer

Parametric finite element discretizations of constrained geometric flows must simultaneously address high-order geometric stiffness, mesh degeneration, and nonlinear global constraints. This paper develops a stabilized dual-SAV (scalar…

数值分析 · 数学 2026-05-13 Koya Sakakibara

We consider elastic flows of closed curves in Euclidean space. We obtain optimal energy thresholds below which elastic flows preserve embeddedness of initial curves for all time. The obtained thresholds take different values between…

偏微分方程分析 · 数学 2025-02-07 Tatsuya Miura , Marius Müller , Fabian Rupp

This paper introduces a new mathematical formulation and numerical approach for the computation of distances and geodesics between immersed planar curves. Our approach combines the general simplifying transform for first-order elastic…

计算几何 · 计算机科学 2025-01-07 Yashil Sukurdeep , Martin Bauer , Nicolas Charon
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