3D Mesh Segmentation Based on Markov Random Fields and Graph Cuts
نویسندگان
چکیده
منابع مشابه
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In this context we present a new method for clustering / labeling a 3D mesh given any field of scalar values associated with its vertices (curvature, density, roughness etc.). Our algorithm is based on Markov Random Fields...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2012
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e95.d.703