Published Articles >> Table of Contents >> Abstract

Computer Graphics International 2003 (CGI'03)   p. 28
Mesh Denoising via Iterative Alpha-Trimming and Nonlinear Diffusion of Normals with Automatic Thresholding
Hirokazu Yagou, University of Aizu
Yutaka Ohtake, Max-Planck-Institut für Informatik
Alexander G. Belyaev, University of Aizu; Max-Planck-Institut für Informatik

Full Article Text:

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGI.2003.1214444
Send link to a friend

Abstract
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.
Back to Top Additional Information
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, p. 28,  Computer Graphics International 2003 (CGI'03),  2003