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Computer Graphics International 2003 (CGI'03)
Mesh Denoising via Iterative Alpha-Trimming and Nonlinear Diffusion of Normals with Automatic Thresholding
Tokyo, Japan
July 09-July 11
ISBN: 0-7695-1946-6
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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