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» 3D Human Body Modeling Using Range Data
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CVPR
2006
IEEE
16 years 1 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
100
Voted
ICIP
2003
IEEE
15 years 5 months ago
Monocular 3D human body reconstruction towards depth augmentation of television sequences
This paper addresses the reconstruction of 3 0 human body models fram Z D video sequences. Considering that the input frames are already segmented, the proposed technique consists...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
91
Voted
CVPR
2007
IEEE
16 years 1 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...
PAMI
2006
183views more  PAMI 2006»
14 years 11 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen
83
Voted
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
15 years 4 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis