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» 3D Human Motion Tracking using Manifold Learning
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SPEECH
1998
215views more  SPEECH 1998»
13 years 7 months ago
3D lip shapes from video: A combined physical-statistical model
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
Sumit Basu, Nuria Oliver, Alex Pentland
CVPR
2006
IEEE
14 years 9 months ago
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
Vlad I. Morariu, Octavia I. Camps
FGR
2000
IEEE
175views Biometrics» more  FGR 2000»
14 years 2 days ago
A Framework for Modeling the Appearance of 3D Articulated Figures
This paper describes a framework for constructing a linear subspace model of image appearance for complex articulated 3D figures such as humans and other animals. A commercial mo...
Hedvig Sidenbladh, Fernando De la Torre, Michael J...
SIGGRAPH
1999
ACM
13 years 12 months ago
Voice Puppetry
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...
Matthew Brand
DICTA
2009
13 years 5 months ago
Context-Based Appearance Descriptor for 3D Human Pose Estimation from Monocular Images
In this paper we propose a novel appearance descriptor for 3D human pose estimation from monocular images using a learning-based technique. Our image-descriptor is based on the int...
Suman Sedai, Mohammed Bennamoun, Du Q. Huynh