Publication detail

Feature preserving mesh smoothing algorithm based on local normal covariance

ŠVUB, M. KRŠEK, P. ŠPANĚL, M. ŠTANCL, V. BARTOŇ, R. VAĎURA, J.

Original Title

Feature preserving mesh smoothing algorithm based on local normal covariance

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Our goal is to develop a smoothing algorithm, which would be feature preserving and simple to use without the need of extensive parameter tuning. Our method does the smoothing of vertices based on local neighbourhood character, which is modeled by a covariance matrix of neighbourhood triangle normals. The eigenvalues and eigenvectors of the covariance matrix are used for local weighting of the displacement vector of laplacian operator. This way the method is locally auto-tuned.

Keywords

smoothing, polygonal mesh, covariance, edge preserving, noise removal

Authors

ŠVUB, M.; KRŠEK, P.; ŠPANĚL, M.; ŠTANCL, V.; BARTOŇ, R.; VAĎURA, J.

RIV year

2010

Released

28. 1. 2010

Publisher

University of West Bohemia in Pilsen

Location

Plzeň

ISBN

978-80-86943-86-2

Book

Proceedings of WSCG'10

Edition

17-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision

Pages from

1

Pages to

6

Pages count

6

BibTex

@inproceedings{BUT34648,
  author="Miroslav {Švub} and Přemysl {Kršek} and Michal {Španěl} and Vít {Štancl} and Radek {Bartoň} and Jiří {Vaďura}",
  title="Feature preserving mesh smoothing algorithm based on local normal covariance",
  booktitle="Proceedings of WSCG'10",
  year="2010",
  series="17-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision",
  pages="1--6",
  publisher="University of West Bohemia in Pilsen",
  address="Plzeň",
  isbn="978-80-86943-86-2"
}