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Dive into the research topics where Jean-Marie Mirebeau is active.

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Featured researches published by Jean-Marie Mirebeau.


SIAM Journal on Numerical Analysis | 2014

Anisotropic Fast-Marching on cartesian grids using Lattice Basis Reduction

Jean-Marie Mirebeau

We introduce a modification of the fast-marching algorithm, which solves the anisotropic eikonal equation associated to an arbitrary continuous Riemannian metric


Mathematics of Computation | 2011

Greedy bisection generates optimally adapted triangulations

Jean-Marie Mirebeau; Albert Cohen

{\cal M}


Journal of Mathematical Imaging and Vision | 2014

Sparse Non-negative Stencils for Anisotropic Diffusion

Jérôme Fehrenbach; Jean-Marie Mirebeau

on a two- or three-dimensional domain. The algorithm has a complexity


Numerische Mathematik | 2014

Efficient fast marching with Finsler metrics

Jean-Marie Mirebeau

{\cal O}(N \ln N + N \ln \kappa({\cal M}))


Mathematics of Computation | 2011

Adaptive multiresolution analysis based on anisotropic triangulations

Albert Cohen; Nira Dyn; Frédéric Hecht; Jean-Marie Mirebeau

, where


Mathematics of Computation | 2016

Monotone and consistent discretization of the Monge-Ampère operator

Jean-David Benamou; Francis Collino; Jean-Marie Mirebeau

N


iberoamerican congress on pattern recognition | 2015

Sub-Riemannian fast marching in SE(2)

Gr Gonzalo Sanguinetti; Ej Erik Bekkers; R Remco Duits; Mhj Michiel Janssen; A Alexey Mashtakov; Jean-Marie Mirebeau

is the discrete domain cardinality. The logarithmic dependency in the maximum anisotropy ratio


SIAM Journal on Numerical Analysis | 2016

Minimal Geodesics Along Volume-Preserving Maps, Through Semidiscrete Optimal Transport

Quentin Mérigot; Jean-Marie Mirebeau

\kappa({\cal M})


Journal of Mathematical Imaging and Vision | 2018

Fast-Marching Methods for Curvature Penalized Shortest Paths

Jean-Marie Mirebeau

of the Riemannian metric allows us to handle extreme anisotropies for a limited numerical cost. We prove the convergence of the algorithm and illustrate its efficiency by numerical experiments. The algorithm relies on the computation at each grid point


computer vision and pattern recognition | 2016

A New Finsler Minimal Path Model with Curvature Penalization for Image Segmentation and Closed Contour Detection

Da Chen; Jean-Marie Mirebeau; Laurent D. Cohen

z

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Dive into the Jean-Marie Mirebeau's collaboration.

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Da Chen

Paris Dauphine University

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Jérôme Fehrenbach

Institut de Mathématiques de Toulouse

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R Remco Duits

Eindhoven University of Technology

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Gabriel Peyré

Paris Dauphine University

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Jérémy Bleyer

École des ponts ParisTech

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Laurent Risser

Institut de Mathématiques de Toulouse

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