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Learning Spatially-Smooth Mappings in Non-Rigid Structure from Motion
Non-rigid structure from motion (NRSFM) is a classical underconstrained problem in computer vision. A common approach to make NRSFM more tractable is to constrain 3D shape deformation to be smooth over time. This constraint has been used to compress the deformation model and reduce the number of unk...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3740973/ https://ncbi.nlm.nih.gov/pubmed/23946937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-642-33765-9_19 |
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