Computational assessment of curvatures and principal directions of implicit surfaces from 3D scalar data - Archive ouverte HAL
Article Dans Une Revue Lecture Notes in Computer Science Année : 2017

Computational assessment of curvatures and principal directions of implicit surfaces from 3D scalar data

Résumé

An implicit method based on high-order differentiation to determine the mean, Gaussian and principal curvatures of implicit surfaces from a three-dimensional scalar field is presented and assessed. The method also determines normal vectors and principal directions. Compared to explicit methods, the implicit approach shows robustness and improved accuracy to measure curvatures of implicit surfaces. This is evaluated on simple cases where curvature is known in closed-form. The method is applied to compute the curvatures of wrinkled flames on large triangular unstructured meshes (namely a 3D isosurface of temperature).
Fichier principal
Vignette du fichier
albin2016lncs.pdf (3.8 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01486547 , version 1 (16-06-2017)

Identifiants

Citer

Eric Albin, Ronnie Knikker, Shihe Xin, Christian Oliver Paschereit, Yves d'Angelo. Computational assessment of curvatures and principal directions of implicit surfaces from 3D scalar data. Lecture Notes in Computer Science, 2017, Mathematical Methods for Curves and Surfaces, 10521, pp.1-22. ⟨10.1007/978-3-319-67885-6_1⟩. ⟨hal-01486547⟩
400 Consultations
1746 Téléchargements

Altmetric

Partager

More