DocumentCode :
3134191
Title :
Vertex-Based Anisotropic Smoothing of 3D Mesh Data
Author :
Zhang, Ying ; Haniza, A.B.
Author_Institution :
Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, Que.
fYear :
2006
fDate :
38838
Firstpage :
202
Lastpage :
205
Abstract :
We propose a vertex-based anisotropic diffusion for 3D mesh denoising by solving a discrete partial differential equation. The core idea behind our proposed technique is to use geometric insight in helping construct an efficient and fast 3D mesh smoothing strategy to fully preserve the geometric structure of the data. Illustrating experimental results demonstrate a much improved performance of the proposed approach in comparison with existing methods currently used in 3D mesh smoothing
Keywords :
computational geometry; image denoising; mesh generation; partial differential equations; smoothing methods; 3D mesh denosing; 3D mesh smoothing; discrete partial differential equation; geometric structure; vertex-based anisotropic diffusion; Anisotropic magnetoresistance; Computer graphics; Image denoising; Image processing; Information systems; Laplace equations; Noise reduction; Partial differential equations; Smoothing methods; Solid modeling; 3D smoothing; Anisotropic diffusion; computer graphics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
Type :
conf
DOI :
10.1109/CCECE.2006.277433
Filename :
4054546
Link To Document :
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