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Related papers: Affine-invariant diffusion geometry for the analys…

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In the present paper we investigate the mechanics of systems of affinely-rigid bodies, i.e., bodies rigid in the sense of affine geometry. Certain physical applications are possible in modelling of molecular crystals, granular media, and…

This paper deals essentially with affine or projective transformations of Lie groups endowed with a flat left invariant affine or projective structure. These groups are called flat affine or flat projective Lie groups. Our main results…

Differential Geometry · Mathematics 2016-02-29 Alberto Medina , Omar Saldarriaga , Hernan Giraldo

In (equi-)affine differential geometry, the most important algebraic invariants are the affine (Blaschke) metric h, the affine shape operator S and the difference tensor K. A hypersurface is said to admit a pointwise symmetry if at every…

Differential Geometry · Mathematics 2007-05-23 Christine Scharlach , Luc Vrancken

We propose a framework that can deform an object in a 2D image as it exists in 3D space. Most existing methods for 3D-aware image manipulation are limited to (1) only changing the global scene information or depth, or (2) manipulating an…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Jihyun Lee , Minhyuk Sung , Hyunjin Kim , Tae-Kyun Kim

Graph Laplacians and related nonlinear mappings into low dimensional spaces have been shown to be powerful tools for organizing high dimensional data. Here we consider a data set X in which the graph associated with it changes depending on…

Classical Analysis and ODEs · Mathematics 2015-03-20 Ronald R. Coifman , Matthew J. Hirn

With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for…

Graphics · Computer Science 2019-01-10 Fereshteh S. Bashiri , Reihaneh Rostami , Peggy Peissig , Roshan M. D'Souza , Zeyun Yu

Symmetric Positive Definite (SPD) matrices have been widely used in medical data analysis and a number of different Riemannian met-rics were proposed to compute with them. However, there are very few methodological principles guiding the…

Differential Geometry · Mathematics 2019-06-05 Yann Thanwerdas , Xavier Pennec

We propose a robust classification algorithm for curves in 2D and 3D, under the special and full groups of affine transformations. To each plane or spatial curve we assign a plane signature curve. Curves, equivalent under an affine…

Computer Vision and Pattern Recognition · Computer Science 2008-06-13 S. Feng , I. A. Kogan , H. Krim

We study affine invariant 2D triangulation methods. That is, methods that produce the same triangulation for a point set $S$ for any (unknown) affine transformation of $S$. Our work is based on a method by Nielson [A characterization of an…

Computational Geometry · Computer Science 2020-11-05 Prosenjit Bose , Pilar Cano , Rodrigo I. Silveira

This article provides an overview of various notions of shape spaces, including the space of parametrized and unparametrized curves, the space of immersions, the diffeomorphism group and the space of Riemannian metrics. We discuss the…

Differential Geometry · Mathematics 2014-10-07 Martin Bauer , Martins Bruveris , Peter W. Michor

We focus on a branch of region-based spatial logics dealing with affine geometry. The research on this topic is scarce: only a handful of papers investigate such systems, mostly in the case of the real plane. Our long-term goal is to…

Logic in Computer Science · Computer Science 2026-03-18 Adam Trybus

A complete recipe of measure-preserving diffusions in Euclidean space was recently derived unifying several MCMC algorithms into a single framework. In this paper, we develop a geometric theory that improves and generalises this…

Probability · Mathematics 2021-05-07 Alessandro Barp , So Takao , Michael Betancourt , Alexis Arnaudon , Mark Girolami

We introduce novel estimators for computing the curvature, tangent spaces, and dimension of data from manifolds, using tools from diffusion geometry. Although classical Riemannian geometry is a rich source of inspiration for geometric data…

Differential Geometry · Mathematics 2026-02-13 Iolo Jones

In this paper we discuss some affine properties of convex equal-area polygons, which are convex polygons such that all triangles formed by three consecutive vertices have the same area. Besides being able to approximate closed convex smooth…

Differential Geometry · Mathematics 2015-03-19 Marcos Craizer , Ralph C. Teixeira , Moacyr A. H. B. da Silva

We extend finding geometrically-significant preserved quantities by solving specific PDEs to the affine transformations and subgroups. This can be viewed not only as a purely geometrical problem but also as a subcase of finding physical…

General Relativity and Quantum Cosmology · Physics 2018-09-25 Edward Anderson

This paper surveys results found by the authors in the previous papers (see for example, A. Duyunova, V. Lychagin, S. Tychkov, Differential invariants for spherical layer flows of a viscid fluid, Journal of Geometry and Physics, 130,…

Mathematical Physics · Physics 2020-04-06 Anna Duyunova , Valentin Lychagin , Sergey Tychkov

We introduce diffusion geometry as a new framework for geometric and topological data analysis. Diffusion geometry uses the Bakry-Emery $\Gamma$-calculus of Markov diffusion operators to define objects from Riemannian geometry on a wide…

Metric Geometry · Mathematics 2024-07-03 Iolo Jones

The theory of affine processes on the space of positive semidefinite d x d matrices has been established in a joint work with Cuchiero, Filipovi\'c and Teichmann (2011). We confirm the conjecture stated therein that in dimension d greater…

Probability · Mathematics 2013-01-15 Eberhard Mayerhofer

An affine invariant point on the class of convex bodies in R^n, endowed with the Hausdorff metric, is a continuous map p which is invariant under one-to-one affine transformations A on R^n, that is, p(A(K))=A(p(K)). We define here the new…

Functional Analysis · Mathematics 2013-10-02 Mathieu Meyer , Carsten Schuett , Elisabeth M. Werner

Current 3D inpainting and object removal methods are largely limited to front-facing scenes, facing substantial challenges when applied to diverse, "unconstrained" scenes where the camera orientation and trajectory are unrestricted. To…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Zhihao Shi , Dong Huo , Yuhongze Zhou , Kejia Yin , Yan Min , Juwei Lu , Xinxin Zuo