Multigrid convergent principal curvature estimators in digital geometry - Géométrie Discrète et Morphologie Mathématique
Article Dans Une Revue Computer Vision and Image Understanding Année : 2014

Multigrid convergent principal curvature estimators in digital geometry

Résumé

In many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field is an essential step. In this paper, we investigate a new class of estimators on digital shape boundaries based on integral invariants (Pottmann et al., 2007) [39]. More precisely, we provide both proofs of multigrid convergence of principal curvature estimators and a complete experimental evaluation of their performances.
Fichier principal
Vignette du fichier
Liris-6343.pdf (3.36 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01119434 , version 1 (20-05-2024)

Identifiants

Citer

David Coeurjolly, Jacques-Olivier Lachaud, Jérémy Levallois. Multigrid convergent principal curvature estimators in digital geometry. Computer Vision and Image Understanding, 2014, 129 (1), pp.27-41. ⟨10.1016/j.cviu.2014.04.013⟩. ⟨hal-01119434⟩
404 Consultations
54 Téléchargements

Altmetric

Partager

More