Nicolas Charon — accepted AI-conference papers

2023

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes

Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi

ICCV 2023poster

We present Basis Restricted Elastic Shape Analysis (BaRe-ESA), a novel Riemannian framework for human body scan representation, interpolation and extrapolation. BaRe-ESA operates directly on unregistered meshes, i.e., without the need to establish prior point to point correspondences or to assume a…

Cited by 9 PDF ↗Scholar ↗

2017

A General Framework for Curve and Surface Comparison and Registration With Oriented Varifolds

Irene Kaltenmark, Benjamin Charlier, Nicolas Charon

CVPR 2017poster

This paper introduces a general setting for the construction of data fidelity metrics between oriented or non-oriented geometric shapes like curves, curve sets or surfaces. These metrics are based on the representation of shapes as distributions of their local tangent or normal vectors and the defin…

Cited by 71 PDF ↗Scholar ↗