3D Mesh Segmentation Based on Markov Random Fields and Graph Cuts

Zhenfeng SHI  Dan LE  Liyang YU  Xiamu NIU  

IEICE TRANSACTIONS on Information and Systems   Vol.E95-D   No.2   pp.703-706
Publication Date: 2012/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E95.D.703
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Computer Graphics
mesh segmentation,  markov random field,  graph cuts,  SDF,  

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3D Mesh segmentation has become an important research field in computer graphics during the past few decades. Many geometry based and semantic oriented approaches for 3D mesh segmentation has been presented. However, only a few algorithms based on Markov Random Field (MRF) has been presented for 3D object segmentation. In this letter, we present a definition of mesh segmentation according to the labeling problem. Inspired by the capability of MRF combining the geometric information and the topology information of a 3D mesh, we propose a novel 3D mesh segmentation model based on MRF and Graph Cuts. Experimental results show that our MRF-based schema achieves an effective segmentation.