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CVPR
2007
IEEE
16 years 1 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. ...
122
Voted
PR
2007
216views more  PR 2007»
14 years 11 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
116
Voted
ICCV
2009
IEEE
14 years 9 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
BMVC
1998
15 years 1 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
ICIP
2010
IEEE
14 years 9 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