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» 3D Human Pose Reconstruction Using Millions of Exemplars
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ICPR
2010
IEEE
13 years 8 months ago
3D Human Pose Reconstruction Using Millions of Exemplars
We propose a novel exemplar based method to estimate 3D human poses from single images by using only the joint correspondences. Due to the inherent depth ambiguity, estimating 3D ...
Hao Jiang
PAMI
2006
188views more  PAMI 2006»
13 years 4 months ago
Recovering 3D Human Body Configurations Using Shape Contexts
The problem we consider in this paper is to take a single two-dimensional image containing a human figure, locate the joint positions, and use these to estimate the body configura...
Greg Mori, Jitendra Malik
ICCV
2007
IEEE
13 years 11 months ago
Action Recognition from Arbitrary Views using 3D Exemplars
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
Daniel Weinland, Edmond Boyer, Rémi Ronfard
CVPR
2010
IEEE
14 years 24 days ago
Dynamical Binary Latent Variable Models for 3D Human Pose Tracking
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
PR
2007
216views more  PR 2007»
13 years 4 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee