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2012 (Vol. 4, Issue: 08)
Article Information:

A Unified 3D Mesh Segmentation Framework Based on Markov Random Field

Z.F. Shi, L.Y. Lu, D. Le and X.M. Niu
Corresponding Author:  X.M. Niu 

Key words:  Gibbs random field, graph cuts, Markov random field, mesh segmentation, , ,
Vol. 4 , (08): 906-913
Submitted Accepted Published
October 12, 2011 November 10, 2011 April 15, 2012

3D Mesh segmentation has become an important research field in computer graphics during the past decades. Many geometry based and semantic oriented approaches for 3D mesh segmentation has been presented. In this paper, we present a definition of mesh segmentation according to labeling problem. Inspired by the Markov Random Field (MRF) based image segmentation, we propose a new framework of 3D mesh segmentation based on MRF and use graph cuts to solve it. Any features of 3D mesh can be integrated into the segmentation framework. Experimental results show that the noise and over-segmentation are avoided. It also demonstrates that the proposed scheme has the capability of combining the geometric and topology information of the 3D mesh.
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  Cite this Reference:
Z.F. Shi, L.Y. Lu, D. Le and X.M. Niu, 2012. A Unified 3D Mesh Segmentation Framework Based on Markov Random Field.  Research Journal of Applied Sciences, Engineering and Technology, 4(08): 906-913.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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