Point-set registration in bounded domains via the Fokker–Planck equation

We present a point set registration method in bounded domains based on the solution to the Fokker–Planck equation. Our approach leverages (i) density estimation based on Gaussian mixture models; (ii) a stabilized finite element discretization of the Fokker–Planck equation; (iii) a specialized method for the integration of the particles. We review relevant properties of the Fokker–Planck equation that provide the foundations for the numerical method. We discuss two strategies for the integration of the particles and we propose a regularization technique to control the distance of the particles from the boundary of the domain. We perform extensive numerical experiments for two two-dimensional model problems to illustrate the many features of the method.

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Publication Details

Journal
Comptes Rendus Mathématique
Published
2025-07-04
DOI
https://doi.org/10.5802/crmath.753
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Point-set registration in bounded domains via the Fokker–Planck equation

Tommaso Taddei, Angelo Iollo
Comptes Rendus Mathématique
Numerical methods in inverse problems
article

Point-set registration in bounded domains via the Fokker–Planck equation

Tommaso Taddei, Angelo Iollo
article en

Abstract

We present a point set registration method in bounded domains based on the solution to the Fokker–Planck equation. Our approach leverages (i) density estimation based on Gaussian mixture models; (ii) a stabilized finite element discretization of the Fokker–Planck equation; (iii) a specialized method for the integration of the particles. We review relevant properties of the Fokker–Planck equation that provide the foundations for the numerical method. We discuss two strategies for the integration of the particles and we propose a regularization technique to control the distance of the particles from the boundary of the domain. We perform extensive numerical experiments for two two-dimensional model problems to illustrate the many features of the method.

Comptes Rendus MathématiqueVol. 363(G8)
Openalex Percentile: Top 78%
Numerical methods in inverse problems
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