Cédric Gérot
Bivariate non-uniform subdivision schemes based on L-systems
Gérot, Cédric; Ivrissimtzis, Ioannis
Abstract
L–systems have been used to describe non-uniform, univariate, subdivision schemes, which offer more flexible refinement processes than the uniform schemes, while at the same time are easier to analyse than the geometry driven non-uniform schemes. In this paper, we extend L–system based nonuniform subdivision to the bivariate setting. We study the properties that an L–system should have to be the suitable descriptor of a subdivision refinement process. We derive subdivision masks to construct the regular parts of the subdivision surface as cubic B-spline patches. Finally we describe stencils for the extraordinary vertices, which after a few steps become stationary, so that the scheme can be studied through simple eigenanalysis. The proposed method is illustrated through two new subdivision schemes, a Binary-Ternary, and a Fibonacci scheme with average refinement rate below two.
Citation
Gérot, C., & Ivrissimtzis, I. (2023). Bivariate non-uniform subdivision schemes based on L-systems. Applied Mathematics and Computation, 457, Article 128156. https://doi.org/10.1016/j.amc.2023.128156
Journal Article Type | Article |
---|---|
Acceptance Date | May 29, 2023 |
Online Publication Date | Jun 27, 2023 |
Publication Date | Nov 15, 2023 |
Deposit Date | Jun 15, 2023 |
Publicly Available Date | Jun 28, 2024 |
Journal | Applied Mathematics and Computation |
Print ISSN | 0096-3003 |
Electronic ISSN | 1873-5649 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 457 |
Article Number | 128156 |
DOI | https://doi.org/10.1016/j.amc.2023.128156 |
Public URL | https://durham-repository.worktribe.com/output/1170982 |
Publisher URL | http://www.journals.elsevier.com/applied-mathematics-and-computation/ |
Files
Accepted Journal Article
(5.7 Mb)
PDF
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
Big data for human security: The case of COVID-19
(2022)
Journal Article
From Farey fractions to the Klein quartic and beyond
(2021)
Journal Article
Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines
(2021)
Journal Article
Using theoretical ROC curves for analysing machine learning binary classifiers
(2019)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search