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» Observable Subspaces for 3D Human Motion Recovery
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NIPS
2007
13 years 8 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
ICPR
2010
IEEE
14 years 1 months ago
Multiple Plane Detection in Image Pairs Using J-Linkage
—We present a new method for the robust detection and matching of multiple planes in pairs of images. Such planes can serve as stable landmarks for vision-based urban navigation....
David Ford Fouhey, Daniel Scharstein, Amy Briggs
SIGGRAPH
2000
ACM
13 years 11 months ago
The EMOTE model for effort and shape
Human movements include limb gestures and postural attitude. Although many computer animation researchers have studied these classes of movements, procedurally generated movements...
Diane M. Chi, Monica Costa, Liwei Zhao, Norman I. ...
ICCV
2007
IEEE
14 years 1 months ago
Toward a Theory of Shape from Specular Flow
The image of a curved, specular (mirror-like) surface is a distorted reflection of the environment. The goal of our work is to develop a framework for recovering general shape fr...
Yair Adato, Yuriy Vasilyev, Ohad Ben-Shahar, Todd ...
ICCV
2001
IEEE
14 years 8 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet