Ying Yang
Order-randomized Laplacian mesh smoothing
Yang, Ying; Rushmeier, Holly; Ivrissimtzis, Ioannis
Authors
Contributors
Michael S. Floater
Editor
Tom Lyche
Editor
Marie-Laurence Mazure
Editor
Knut Mørken
Editor
Larry L. Schumaker
Editor
Abstract
In this paper we compare three variants of the graph Laplacian smoothing. The first is the standard synchronous implementation, corresponding to multiplication by the graph Laplacian matrix. The second is a voter process inspired asynchronous implementation, assuming that every vertex is equipped with an independent exponential clock. The third is in-between the first two, with the vertices updated according to a random permutation of them. We review some well-known results on spectral graph theory and on voter processes, and we show that while the convergence of the synchronous Laplacian is graph dependent and, generally, does not converge on bipartite graphs, the asynchronous converges with high probability on all graphs. The differences in the properties of these three approaches are illustrated with examples including both regular grids and irregular meshes.
Citation
Yang, Y., Rushmeier, H., & Ivrissimtzis, I. (2016, June). Order-randomized Laplacian mesh smoothing. Presented at 9th International Conference on Mathematical Methods for Curves and Surfaces, Tønsberg, Norway
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 9th International Conference on Mathematical Methods for Curves and Surfaces |
Start Date | Jun 23, 2016 |
End Date | Jun 28, 2016 |
Acceptance Date | Mar 7, 2017 |
Online Publication Date | Oct 18, 2017 |
Publication Date | Oct 18, 2017 |
Deposit Date | Aug 15, 2017 |
Publicly Available Date | Oct 18, 2018 |
Print ISSN | 0302-9743 |
Pages | 312-323 |
Series Title | Lecture notes in computer science |
Series Number | 10521 |
Series ISSN | 0302-9743,1611-3349 |
Book Title | Mathematical methods for curves and surfaces : 9th International Conference, MMCS 2016, Tønsberg, Norway, June 23 - June 28, 2016. Revised selected papers. |
ISBN | 9783319678849 |
DOI | https://doi.org/10.1007/978-3-319-67885-6_17 |
Public URL | https://durham-repository.worktribe.com/output/1146570 |
Files
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Copyright Statement
The final publication is available at Springer via https://doi.org/10.1007/978-3-319-67885-6_17.
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