DocumentCode :
1919911
Title :
3D triangle mesh smoothing via adaptive MMSE filtering
Author :
Mashiko, Takashi ; Yagou, Hirokazu ; Wei, Daming ; Ding, Youdong ; Wu, Genfeng
Author_Institution :
Shape Modeling Lab., Aizu Univ., Aizu-Wakamatsu, Japan
fYear :
2004
fDate :
14-16 Sept. 2004
Firstpage :
734
Lastpage :
740
Abstract :
This paper introduces an effective mesh smoothing method for 3D noisy shapes via the adaptive MMSE (minimum mean squared error) filter. The adaptive MMSE filter is applied to modify the face normals of triangle meshes and then mesh vertex positions are reconstructed in order to satisfy the modified normals. We also compare quantitatively and visually the adaptive MMSE filter to 3D triangle meshes with the conventional and simple Laplacian smoothing and mean and median filtering schemes. The experiments demonstrate that the adaptive MMSE filter applied to triangle meshes with round shapes and low frequency noise outperforms the existing smoothing schemes mentioned above.
Keywords :
adaptive filters; computational geometry; mean square error methods; median filters; mesh generation; smoothing methods; 3D triangle mesh smoothing; Laplacian smoothing; adaptive MMSE filtering; mean filtering; median filtering; mesh vertex positions; minimum mean squared error filter; Adaptive filters; Filtering; Image processing; Image reconstruction; Low-frequency noise; Noise shaping; Pixel; Shape; Signal processing; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2004. CIT '04. The Fourth International Conference on
Print_ISBN :
0-7695-2216-5
Type :
conf
DOI :
10.1109/CIT.2004.1357282
Filename :
1357282
Link To Document :
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