Title: Feature preserving mesh smoothing algorithm based on local normal covariance
Authors: Svub, Miroslav
Krsek, Přemysl
Španěl, Michal
Štancl, Vít
Bartoň, Radek
Vaďura, Jiří
Citation: WSCG 2010: Full Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 25-32.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_FULL-proceedings.pdf
http://hdl.handle.net/11025/10872
ISBN: 978-80-86943-88-6
Keywords: vyhlazování;polygonální mřížky;lokální normálová kovariance;odstranění šumu
Keywords in different language: smoothing;polygonal meshes;local normal covariance;noise removal
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.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Full Papers Proceedings

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