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» Recovering 3D Human Pose from Monocular Images
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CVPR
2010
IEEE
15 years 5 months 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...
TOG
2012
208views Communications» more  TOG 2012»
13 years 1 days ago
Video-based 3D motion capture through biped control
Marker-less motion capture is a challenging problem, particularly when only monocular video is available. We estimate human motion from monocular video by recovering three-dimensi...
Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, O...
GW
2009
Springer
226views Biometrics» more  GW 2009»
14 years 7 months ago
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion ...
Zhenbo Li, Patrick Horain, André-Marie Pez,...
MICCAI
2004
Springer
15 years 10 months ago
Scale-Invariant Registration of Monocular Endoscopic Images to CT-Scans for Sinus Surgery
In this paper, we present a novel method for intra-operative registration directly from monocular endoscopic images. This technique has the potential to provide a more accurate su...
Darius Burschka, Ming Li, Russell H. Taylor, Grego...
CVIU
2004
246views more  CVIU 2004»
14 years 9 months ago
3-D reconstruction of static human body shape from image sequence
The generation of 3-D models from uncalibrated image sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a...
Fabio Remondino