Ying Yang
Linear Correlations between Spatial and Normal Noise in Triangle Meshes
Yang, Ying; Norbert, Peyerimhoff; Ivrissimtzis, Ioannis
Authors
Abstract
We study the relationship between the noise in the vertex coordinates of a triangle mesh and normal noise. First, we compute in closed form the expectation for the angle between the new and the old normal when uniform noise is added to a single vertex of a triangle. Next, we propose and experimentally validate an approximation and lower and upper bounds for when uniform noise is added to all three vertices of the triangle. In all cases, for small amounts of spatial noise that do not severely distort the mesh, there is a linear correlation between and simple functions of the heights of the triangles and thus, can be computed efficiently. The addition of uniform spatial noise to a mesh can be seen as a dithered quantisation of its vertices. We use the obtained linear correlations between spatial and normal noise to compute the level of dithered quantisation of the mesh vertices when a tolerance for the average normal distortion is given.
Citation
Yang, Y., Norbert, P., & Ivrissimtzis, I. (2013). Linear Correlations between Spatial and Normal Noise in Triangle Meshes. IEEE Transactions on Visualization and Computer Graphics, 19(1), 45-55. https://doi.org/10.1109/tvcg.2012.106
Journal Article Type | Article |
---|---|
Publication Date | 2013-01 |
Deposit Date | Nov 29, 2012 |
Journal | IEEE Transactions on Visualization and Computer Graphics |
Print ISSN | 1077-2626 |
Electronic ISSN | 1941-0506 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 1 |
Pages | 45-55 |
DOI | https://doi.org/10.1109/tvcg.2012.106 |
Public URL | https://durham-repository.worktribe.com/output/1492053 |
You might also like
Anomaly Detection with Transformers in Face Anti-spoofing
(2023)
Presentation / Conference Contribution
Bivariate non-uniform subdivision schemes based on L-systems
(2023)
Journal Article
Big data for human security: The case of COVID-19
(2022)
Journal Article
Quality perception and discrimination thresholds in quantised triangle meshes
(2021)
Presentation / Conference Contribution
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 © 2024
Advanced Search