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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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Detalhes bibliográficos
Main Authors: Hamsici, Onur C., Gotardo, Paulo F.U., Martinez, Aleix M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
Assuntos:
Acesso em linha: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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