DocumentCode :
1898099
Title :
Mutiresolution Freeform Mesh Deformation
Author :
Feng, Xin ; Shi, Minyong
Author_Institution :
Comput. Sch., Commun. Univ. of China, Beijing, China
Volume :
2
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
457
Lastpage :
461
Abstract :
The main drawback of free-form deformation method is not able to preserve the features of shape. To address it, an efficient shape deformation algorithm is proposed based on least-square mesh. By using the global Laplacian smoothing with positional constraints, the least square mesh (LSM) including only low-frequency component of a shape is first extracted, and the high-frequency signals of the shape are encoded based on LSM. According to user editing and mean value coordinates, LSM is then deformed with free-form deformation method. By geometric transformations at each vertex of LSM, the codes of the deformed high-frequency components are determined, and by decoding them, the deformed shape is finally achieved. Some experimental results demonstrate the algorithm is very fast, easy to manipulate and able efficiently to preserve the features of shape.
Keywords :
least squares approximations; mesh generation; LSM; global Laplacian smoothing; high-frequency components; least-square mesh; mutiresolution freeform mesh deformation method; positional constraints; shape deformation algorithm; shape high-frequency signals; shape low-frequency component; Computational modeling; Deformable models; Shape; Signal resolution; Surface reconstruction; Vectors; free-form deformation; high-frequency signal; least-square mesh; local frame; mean value coordination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.271
Filename :
6187997
Link To Document :
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