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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: Sandhu, Romeil, Dambreville, Samuel, Yezzi, Anthony, Tannenbaum, Allen
Formato: Artigo
Idioma:Inglês
Publicado: 2011
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Acceso en liña: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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