DocumentCode :
2071227
Title :
A Three Dimensional Mesh Improvement Algorithm Based on Curvature Flow
Author :
Lv, Zhenhong ; Chen, Xin
Author_Institution :
Sch. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
36
Lastpage :
40
Abstract :
In order to suppress undesirable noises in triangular meshes for quality improvement, an effective smoothing method based on curvature flow is proposed in this paper. For triangular meshes generated from planar contours, the continuity information amongst adjacent contours is utilized to determine whether a vertex represents a geometric feature to preserve or an isolated noise to smooth. Before smoothing the original mesh with an isotropic diffusion process, local adaptive refinement is performed where the sharp features are detected. In doing so, the smoothing method has both the benefits of the isotropic diffusion method, simplicity and stability, and that of the anisotropic diffusion method, feature preserving. The presented method is implemented along with several other smoothing methods, and experiments that smooth triangular meshes reconstructed from contours are performed. Experimental results demonstrate that our method can smooth triangular meshes in an effective way.
Keywords :
mesh generation; smoothing methods; anisotropic diffusion method; curvature flow; isotropic diffusion process; local adaptive refinement; planar contours; smoothing method; three dimensional mesh improvement algorithm; triangular meshes; undesirable noise suppression; Anisotropic magnetoresistance; Computer vision; Diffusion processes; Image edge detection; Image reconstruction; Low pass filters; Noise shaping; Nonlinear equations; Smoothing methods; Solid modeling; curvature flow; feature-preserving; smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6325-1
Electronic_ISBN :
978-1-4244-6326-8
Type :
conf
DOI :
10.1109/ISISE.2009.118
Filename :
5447224
Link To Document :
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