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Conference Paper

Mesh Smoothing by Adaptive and Anisotropic Gaussian Filter

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45141

Ohtake,  Yutaka
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44112

Belyaev,  Alexander
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Ohtake, Y., Belyaev, A., & Seidel, H.-P. (2002). Mesh Smoothing by Adaptive and Anisotropic Gaussian Filter. In Proceedings of Vision, Modeling, and Visualization VMV 2002 (pp. 203-210). Berlin, Germany: Akademische Verlagsgesellschaft Aka GmbH.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-2FE5-5
Abstract
In this paper, we develop a fully automatic mesh filtering method that adaptively smoothes a noisy mesh and preserves sharp features and features consisting of only few triangle strips. In addition, it outperforms other conventional smoothing methods in terms of accuracy.