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Segmentation of 3D Meshes through Spectral Clustering
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Proceedings of the 2011 SIGGRAPH Asia Conference
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ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
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ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
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ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
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ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Unsupervised co-segmentation for 3D shapes using iterative multi-label optimization
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ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Qualitative organization of collections of shapes via quartet analysis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Co-segmentation of 3D shapes via multi-view spectral clustering
The Visual Computer: International Journal of Computer Graphics
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ACM Transactions on Graphics (TOG)
SMI 2013: Grouping real functions defined on 3D surfaces
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ACM Transactions on Graphics (TOG)
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This paper proposes a method to segment a set of models consistently. The method simultaneously segments models and creates correspondences between segments. First, a graph is constructed whose nodes represent the faces of every mesh, and whose edges connect adjacent faces within a mesh and corresponding faces in different meshes. Second, a consistent segmentation is created by clustering this graph, allowing for outlier segments that are not present in every mesh. The method is demonstrated for several classes of objects and used for two applications: symmetric segmentation and segmentation transfer.