DocumentCode
2619301
Title
Automatic generation of coarse bounding cages from dense meshes
Author
Xian, Chuhua ; Lin, Hongwei ; Gao, Shuming
Author_Institution
State Key Lab. of CAD & CG, Zhejiang Univ., Hangzhou, China
fYear
2009
fDate
26-28 June 2009
Firstpage
21
Lastpage
27
Abstract
The coarse bounding cage of a dense mesh plays important roles in computer graphics, computer vision, and geometric design. Specifically, in volume-based deformation, a coarse bounding cage is required to manipulate the dense mesh model it enclosed; in subdivision surface fitting, the fitting starts from a coarse cage bounding the fitted dense mesh or point set; and so on. However, the generation of a coarse bounding cage is mainly by interactive ways, which are very tedious and time-consuming. In this paper, we develop a fully automatic method to generate a coarse cage bounding a dense mesh model. The automatically generated coarse bounding cage can keep the topological structure and major geometric features of the original mesh model, which is validated by theoretical analysis and experimental data presented in this paper. Further more, we employ the automatically generated coarse bounding cage in some applications, such as deformation, and subdivision fitting, producing good results.
Keywords
computational geometry; mesh generation; solid modelling; surface fitting; topology; automatic interactive coarse bounding cage generation; computer graphics; computer vision; dense mesh model; geometric design; subdivision surface fitting; topological structure; volume-based deformation; Application software; Character generation; Computer graphics; Computer vision; Deformable models; Design automation; Mesh generation; Shape; Solid modeling; Surface fitting; automatic generation; bounding box; coarse bounding cage; deformation; subdivision surface fitting;
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.2009.5170159
Filename
5170159
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