Abstract: In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation.
Oct 22, 2024 · ing to both fields of interest. 2D-3D pose tracking or pose estimation is concerned. with relating the spatial coordinates of an object in the 3D.
In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image seg- mentation. In general, most frameworks ...
In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image seg- mentation. In general, most frameworks ...
(PDF) Non-rigid 2D-3D pose estimation and 2D image segmentation.
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The method essentially regularizes the shape-space (of 2D projections of spatial-orientations of a 3D shape) using the foreground regions obtained by region ...
Abstract: In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation.
Mar 12, 2010 · In this work, we present a non-rigid approach to jointly solve the tasks of 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 ...
Missing: rigid | Show results with:rigid
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This work proposes to solve the 2D-3D pose estimation and 2D image segmentation via nonlinear manifold learning of 3D embedded shapes for a general class of ...
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 ...
Missing: Non- rigid