DocumentCode
2619262
Title
Mesh denoising based on differential coordinates
Author
Su, Zhi-Xun ; Wang, Hui ; Cao, Jun-Jie
Author_Institution
Dept. of Appl. Mathematica, Dalian Univ. of Technol., Dalian, China
fYear
2009
fDate
26-28 June 2009
Firstpage
1
Lastpage
6
Abstract
In this paper, we propose a novel triangle mesh denoising method based on the differential coordinates. The proposed approach consists of the application of the mean filter to differential coordinates of the mesh and the reconstruction of mesh vertices´ Cartesian coordinates to make them fit to the modified differential coordinates. The presented method is simple, stable and able to effectively remove large noise. Experimental results demonstrate that the proposed Mesh Mean Filter does not cause surface shrinkage and shape distortion during the denoising process, and preserves geometric detail features to a certain extent.
Keywords
computational geometry; filtering theory; mesh generation; signal denoising; signal reconstruction; Cartesian coordinate; differential coordinate; mean filter; mesh reconstruction; triangle mesh denoising method; Filtering; Finite impulse response filter; IIR filters; Low pass filters; Noise reduction; Noise shaping; Optical noise; Shape; Smoothing methods; Wiener filter; differential coordinates; mean filter; mesh denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Shape Modeling and Applications, 2009. SMI 2009. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4069-6
Electronic_ISBN
978-1-4244-4070-2
Type
conf
DOI
10.1109/SMI.2009.5170156
Filename
5170156
Link To Document