Shape analysis of Euclidean curves under frenet-serret framework

P Chassat, J Park, N Brunel - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Geometric frameworks for analyzing curves are common in applications as they focus on
invariant features and provide visually satisfying solutions to standard problems such as …

[KNIHA][B] The Lp-Fisher-Rao metric and information geometry

Y Lu - 2023 - search.proquest.com
In this thesis, we will provide a Finslerian point of view on several objects of classical
information geometry. Therefore we will generalize the Fisher-Rao metric to a family of …

On geodesics in the spaces of constrained curves

E Nava-Yazdani - Differential Geometry and its Applications, 2024 - Elsevier
In this work, we study the geodesics of the space of certain geometrically and physically
motivated subspaces of the space of immersed curves endowed with a first order Sobolev …

A square root velocity framework for curves of bounded variation

M Grasmair - arxiv preprint arxiv:2203.06633, 2022 - arxiv.org
The square root velocity transform is a powerful tool for the efficient computation of distances
between curves. Also, after factoring out reparametrisations, it defines a distance between …

A PDE-Based method for shape registration

EN Wøien, M Grasmair - SIAM Journal on Imaging Sciences, 2022 - SIAM
In the square root velocity framework and similar approaches, the computation of shape
space distances and the registration of curves requires the solution of a nonconvex …

Pattern detection and shape analysis for physiological timeseries

T Germain - 2024 - theses.hal.science
Time series are prevalent in biomedical applications where they frequently display recurring
or abnormal patterns that hold significant information for statistical analysis. A notable …

Functional and Shape Data Analysis under the Frenet-Serret Framework: Application to Sign Language Motion Trajectories Analysis

P Chassat - 2024 - theses.hal.science
This thesis, conducted in collaboration with MocapLab, a company specializing in motion
capture, aims to determine the optimal mathematical framework and relevant descriptors for …