DigitalSnow

Nov 1, 2011
website
Micro-tomography of a snow sample (volume less than 1mm^3)

Consortium

This project gathers members of four laboratories: LIRIS (Leader, Lyon), LAMA (Chambéry), LJK (Grenoble), and CEN/Météofrance (Grenoble).

digital geometry discrete geometric estimators snow metamorphism applied mathematics 3D microtomography
Jacques-Olivier Lachaud
Jacques-Olivier Lachaud
Professor of Computer Science

My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.

Publications

Phase-field modelling and computing for a large number of phases
We propose a framework to represent a partition that evolves under mean curvature flows and volume constraints. Its principle follows a …
Élie Bretin, Roland Denis, Jacques-Olivier Lachaud, Édouard Oudet
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Phase-field modelling and computing for a large number of phases
Robust and Convergent Curvature and Normal Estimators with Digital Integral Invariants
We present, in details, a generic tool to estimate differential geometric quantities on digital shapes, which are subsets of …
Jacques-Olivier Lachaud, D. Coeurjolly, J. Levallois
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Robust and Convergent Curvature and Normal Estimators with Digital Integral Invariants
An output-sensitive algorithm to compute the normal vector of a digital plane
A digital plane is the set of integer points located between to parallel planes. We solve the following problem: how to compute the …
Jacques-Olivier Lachaud, X. Provençal, T. Roussillon
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An output-sensitive algorithm to compute the normal vector of a digital plane
Computation of the Normal Vector to a Digital Plane by Sampling Significant Points
Digital planes are sets of integer points located between two parallel planes. We present a new algorithm that computes the normal …
Jacques-Olivier Lachaud, X. Provençal, T. Roussillon
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Computation of the Normal Vector to a Digital Plane by Sampling Significant Points
Convergent Geometric Estimators with Digital Volume and Surface Integrals
This paper presents several methods to estimate geometric quantities on subsets of the digital space Zd. We take an interest both on …
Jacques-Olivier Lachaud
PDF Cite Project DOI Slides (PDF) Code II (DGtal) Code VCM (DGtal) DGCI'2016 URL
Convergent Geometric Estimators with Digital Volume and Surface Integrals
Interactive Curvature Tensor Visualization on Digital Surfaces
Interactive visualization is a very convenient tool to explore complex scientific data or to try different parameter settings for a …
H. Perrier, J. Levallois, D. Coeurjolly, J. -P. Farrugia, J. -C. Iehl, Jacques-Olivier Lachaud
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Interactive Curvature Tensor Visualization on Digital Surfaces
Robust Geometry Estimation Using the Generalized Voronoi Covariance Measure
The Voronoi covariance measure (VCM) of a compact set K of $\mathbb{R}^d$ is a tensor-valued measure that encodes geometrical …
L. Cuel, Jacques-Olivier Lachaud, Q. Mérigot, B. Thibert
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Robust Geometry Estimation Using the Generalized Voronoi Covariance Measure
Scale-space feature extraction on digital surfaces
A classical problem in many computer graphics applications consists in extracting significant zones or points on an object surface, …
J. Levallois, D. Coeurjolly, Jacques-Olivier Lachaud
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Scale-space feature extraction on digital surfaces
Multigrid convergent principal curvature estimators in digital geometry
In many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field …
D. Coeurjolly, Jacques-Olivier Lachaud, J. Levallois
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Multigrid convergent principal curvature estimators in digital geometry
Parameter-Free and Multigrid Convergent Digital Curvature Estimators
In many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field …
J. Levallois, D. Coeurjolly, Jacques-Olivier Lachaud
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Parameter-Free and Multigrid Convergent Digital Curvature Estimators
Voronoi-Based Geometry Estimator for 3D Digital Surfaces
We propose a robust estimator of geometric quantities such as normals, curvature directions and sharp features for 3D digital surfaces. …
L. Cuel, Jacques-Olivier Lachaud, B. Thibert
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Voronoi-Based Geometry Estimator for 3D Digital Surfaces
Multigrid convergence of digital curvature estimators
Many methods have been proposed to estimate differential geometric quantities like curvature on discrete data. A common characteristics …
Jacques-Olivier Lachaud
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Multigrid convergence of digital curvature estimators
Integral based Curvature Estimators in Digital Geometry
In many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field …
D. Coeurjolly, Jacques-Olivier Lachaud, J. Levallois
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Integral based Curvature Estimators in Digital Geometry

Events

Convergent Geometric Estimators with Digital Volume and Surface Integrals
Keynote speaker at DGCI 2016, Nantes.
Apr 18, 2016 9:00 AM — 10:00 AM Nantes, France
Jacques-Olivier Lachaud
Project Publication Slides (PDF) Paper (PDF) URL
Convergent Geometric Estimators with Digital Volume and Surface Integrals
Multigrid convergence of digital curvature estimators
Invited talk.
Nov 18, 2013 12:00 AM — Nov 22, 2013 12:00 AM Centre International de Recherche Mathématique (CIRM), Luminy, France
Jacques-Olivier Lachaud
Code Project Project Publication Slides (PDF) Paper (PDF) URL
Multigrid convergence of digital curvature estimators