Jacques-Olivier Lachaud
Jacques-Olivier Lachaud
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Lightweight Curvature Estimation on Point Clouds with Randomized Corrected Curvature Measures
The estimation of differential quantities on oriented point cloud is a classical step for many geometry processing tasks in computer …
Jacques-Olivier Lachaud
,
David Coeurjolly
,
Céline Labart
,
Pascal Romon
,
Boris Thibert
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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
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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
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Code II (DGtal)
Code VCM (DGtal)
DGCI'2016
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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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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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Curvature estimation along noisy digital contours by approximate global optimization
In this paper, we introduce a new curvature estimator along digital contours, which we called global min-curvature (GMC) estimator. As …
B. Kerautret
,
Jacques-Olivier Lachaud
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Curvature based corner detector for discrete, noisy and multi-scale contours
Estimating curvature on digital shapes is known to be a difficult problem even in high resolution images. Moreover the presence of …
B. Kerautret
,
Jacques-Olivier Lachaud
,
B. Naegel
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