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» Feature hiding in 3D human body scans
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GW
2007
Springer
241views Biometrics» more  GW 2007»
14 years 1 months ago
Representation of Human Postures for Vision-Based Gesture Recognition in Real-Time
In this paper, we present a Vision-Based Interface guided by the user gestures. The advantage of our system is that it is built over a motion capture system that recovers the body ...
Antoni Jaume-i-Capó, Javier Varona, Francis...
CVPR
2008
IEEE
14 years 9 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
PR
2008
140views more  PR 2008»
13 years 7 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...
FGR
2006
IEEE
102views Biometrics» more  FGR 2006»
14 years 1 months ago
Robust Spotting of Key Gestures from Whole Body Motion Sequence
Robust gesture recognition in video requires segmentation of the meaningful gestures from a whole body gesture sequence. This is a challenging problem because it is not straightfo...
Hee-Deok Yang, A-Yeon Park, Seong-Whan Lee
MLMI
2007
Springer
14 years 1 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...