Jacques-Olivier Lachaud
Jacques-Olivier Lachaud
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normal estimation
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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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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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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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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DOI
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Code II (DGtal)
Code VCM (DGtal)
DGCI'2016
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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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Maximal Planes and Multiscale Tangential Cover of 3D Digital Objects
The sequence of maximal segments (i.e. the tangential cover) along a digital boundary is an essential tool for analyzing the geometry …
E. Charrier
,
Jacques-Olivier Lachaud
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Geometric measures on arbitrary dimensional digital surfaces
This paper proposes a set of tools to analyse the geometry of multidimensional digital surfaces. Our approach is based on several works …
Jacques-Olivier Lachaud
,
A. Vialard
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