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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
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" }