Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions
This work introduces a method to hierarchically segment articulated shapes into meaningful parts and to register these parts across populations of near-isometric shapes (e.g. head, arms, legs and fingers of humans in different body postures). The method exploits the isometry invariance of eigenfunct...
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| Format: | Article |
| Language: | en_US |
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Springer Netherlands
2011
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| Online Access: | http://hdl.handle.net/1721.1/65160 |