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» Observable Subspaces for 3D Human Motion Recovery
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ICCV
2001
IEEE
14 years 9 months ago
Articulated Soft Objects for Video-based Body Modeling
We develop a framework for 3?D shape and motion recovery of articulated deformable objects. We propose a formalism that incorporates the use of implicit surfaces into earlier robo...
Pascal Fua, Ralf Plänkers
ICCV
2001
IEEE
14 years 9 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ECCV
2006
Springer
14 years 9 months ago
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
Guillaume Dewaele, Frederic Devernay, Radu Horaud,...
CVPR
2007
IEEE
14 years 9 months ago
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
Liang Wang, David Suter
CVPR
2007
IEEE
14 years 9 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...