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» Semi-supervised Hierarchical Models for 3D Human Pose Recons...
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CVPR
2007
IEEE
10 years 5 months ago
Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...
PR
2007
216views more  PR 2007»
9 years 3 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 inef´Čücient to build a ...
Hee-Deok Yang, Seong-Whan Lee
ICCV
2009
IEEE
9 years 1 months ago
Modeling 3D human poses from uncalibrated monocular images
This paper introduces an efficient algorithm that reconstructs 3D human poses as well as camera parameters from a small number of 2D point correspondences obtained from uncalibrat...
Xiaolin K. Wei, Jinxiang Chai
ICIP
2010
IEEE
9 years 1 months ago
Real-time 3D reconstruction and pose estimation for human motion analysis
In this paper, we present a markerless 3D motion capture system based on a volume reconstruction technique of non rigid bodies. It depicts a new approach for pose estimation in or...
Holger Graf, Sang Min Yoon, Cornelius Malerczyk
BMVC
1998
9 years 5 months ago
Reconstructing 3D Pose and Motion from a Single Camera View
This paper presents a model based approach to human body tracking in which the 2D silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated within ...
Richard Bowden, T. A. Mitchell, Mansoor Sarhadi
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