Integral based Curvature Estimators in Digital Geometry
Jan 1, 2013·
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0 min read
D. Coeurjolly
Jacques-Olivier Lachaud
J. Levallois
Abstract
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. More precisely, we provide both proofs of multigrid convergence of curvature estimators and a complete experimental evaluation of their performances.
Type
Publication
Proc. Int. Conf. Discrete Geometry for Computer Imagery (DGCI 2013), Sevilla, Spain, pp 215-227, volume 7749 of Lecture Notes in Computer Science, 2013
Digital Geometry
Volume Estimation
Moment Estimation
Curvature Estimation
Multigrid Convergence
Integral Invariants
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.