Abstract—As 3D models are used more and more in various
applications, model decomposition acts as an important step for
model understanding and can be used as a pre-processing step
for different applications. This paper presents a mesh
decomposition method based on skeleton. In recent years, a lot
of work has been done to decompose polygon meshes to
sub-meshes. No standard for the result, but the aim is to get
reasonable sub-meshes and keep the boundaries between them
fine. In this paper, we propose a mesh decomposition algorithm
using skeleton and fuzzy clustering. Our method uses the
skeleton of the mesh as the base to automatically get the
meaningful components without over-segmentation and keeps a
fine boundary using fuzzy clustering.
Index Terms—Mesh decomposition, skeleton extraction,
fuzzy clustering.
The authors are with the School of Software, the Shanghai Jiao Tong
University, Shanghai, 200240 China (e-mail: wuzhijingmichal@ sjtu.edu.cn,
xsjiu99@cs.sjtu.edu.cn).
Cite:Zhijing Wu and Shuangjiu Xiao, "Mesh Decomposition Using Skeleton and Fuzzy Clustering," International Journal of Machine Learning and Computing vol.3, no. 5, pp. 453-457, 2013.