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Mesh Denoising via Iterative Alpha-Trimming and Nonlinear Diffusion of Normals with Automatic Thresholding
Tokyo, Japan July 09-July 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGI.2003.1214444Computer Graphics International 2003 ...
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Hirokazu Yagou, University of Aizu
Yutaka Ohtake, Max-Planck-Institut f?r Informatik
Alexander G. Belyaev, University of Aizu; Max-Planck-Institut f?r Informatik
In this paper, we present two simple yet effective mesh denoising methods. The methods combine a diffusion (repeated local averaging) of mesh normals with histogram-based filtering procedures. According to our experimental results the methods outperform conventional smoothing techniques in denoising meshes with sharp features.
Index Terms:
mesh smoothing, alpha-trimming, nonlinear diffusion, automatic thresholding, processing mesh normals
Citation:
Hirokazu Yagou, Yutaka Ohtake, Alexander G. Belyaev, "Mesh Denoising via Iterative Alpha-Trimming and Nonlinear Diffusion of Normals with Automatic Thresholding," cgi, pp.28, Computer Graphics International 2003 (CGI'03), 2003
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