Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Skeleton Based Shape Matching and Retrieval
SMI '03 Proceedings of the Shape Modeling International 2003
Augmented Reeb Graphs for Content-Based Retrieval of 3D Mesh Models
SMI '04 Proceedings of the Shape Modeling International 2004
Meshless deformations based on shape matching
ACM SIGGRAPH 2005 Papers
Skeleton extraction by mesh contraction
ACM SIGGRAPH 2008 papers
Path Similarity Skeleton Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformation-driven shape correspondence
SGP '08 Proceedings of the Symposium on Geometry Processing
On bending invariant signatures for surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We present a novel skeleton-based approach for performing shape correspondence by exploiting the mesh geometric properties associated with the skeletons of the objects. The skeletal nodes which correspond to the similar parts of the two objects are matched. We compute a set of potential shape correspondences and then evaluate the best one. Our method may merge adjacent skeletal nodes and adjacent skeletal branches so that it can compute not only an 1-1 correspondence but also a many-many correspondence. We apply our method to various models with similar topological structures and compare with the latest techniques. Experimental results show that our method can compute acceptable shape correspondence.