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» Estimating human shape and pose from a single image
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IJCV
2006
171views more  IJCV 2006»
14 years 9 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff
ECCV
2010
Springer
15 years 29 days ago
A 2D Human Body Model Dressed in Eigen Clothing
Detection, tracking, segmentation and pose estimation of people in monocular images are widely studied. Two-dimensional models of the human body are extensively used, however, they...
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CVPR
2010
IEEE
15 years 2 days ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang
CVPR
2011
IEEE
14 years 5 months ago
From 3D Scene Geometry to Human Workspace
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
CVPR
2010
IEEE
15 years 6 months ago
Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction
Historically non-rigid shape recovery and articulated pose estimation have evolved as separate fields. Recent methods for non-rigid shape recovery have focused on improving the a...
Mathieu Salzmann, Raquel Urtasun