Homeomorphic alignment of edge-weighted trees
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 5534 LNCS, Page: 134-143
2009
- 2Citations
- 2Captures
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Conference Paper Description
Motion capture, a currently active research area, needs estimation of the pose of the subject. For this purpose, we match the tree representation of the skeleton of the 3D shape to a pre-specified tree model. Unfortunately, the tree representation can contain vertices that split limbs in multiple parts, which do not allow a good match by usual methods. To solve this problem, we propose a new alignment, taking in account the homeomorphism between trees, rather than the isomorphism, as in prior works. Then, we develop several computationally efficient algorithms for reaching real-time motion capture. © 2009 Springer Berlin Heidelberg.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=70349813703&origin=inward; http://dx.doi.org/10.1007/978-3-642-02124-4_14; http://link.springer.com/10.1007/978-3-642-02124-4_14; http://link.springer.com/content/pdf/10.1007/978-3-642-02124-4_14; https://dx.doi.org/10.1007/978-3-642-02124-4_14; https://link.springer.com/chapter/10.1007/978-3-642-02124-4_14
Springer Science and Business Media LLC
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