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Abstract
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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
Submitted: October 12, 2011
Accepted: November 10, 2011
Published: April 15, 2012 |
Abstract:
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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.
Key words: Gibbs random field, graph cuts, Markov random field, mesh segmentation, , ,
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Abstract
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Cite this Reference:
Z.F. Shi, L.Y. Lu, D. Le and X.M. Niu, . A Unified 3D Mesh Segmentation Framework Based on Markov Random Field. Research Journal of Applied Sciences, Engineering and Technology, (08): 906-913.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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