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A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation
In this work, we present a nonrigid approach to jointly solving the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks that couple both pose estimation and segmentation assume that one has exact knowledge of the 3D object. However, under nonideal conditions, this a...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3655730/ https://ncbi.nlm.nih.gov/pubmed/20733218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2010.162 |
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