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» 3D Hand Tracking in a Stochastic Approximation Setting
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JMLR
2010
157views more  JMLR 2010»
13 years 2 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
NIPS
2000
13 years 9 months ago
Keeping Flexible Active Contours on Track using Metropolis Updates
Condensation, a form of likelihood-weighted particle filtering, has been successfully used to infer the shapes of highly constrained "active" contours in video sequences...
Trausti T. Kristjansson, Brendan J. Frey
ECCV
2002
Springer
14 years 9 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
CVPR
2007
IEEE
14 years 10 months ago
Differential Camera Tracking through Linearizing the Local Appearance Manifold
The appearance of a scene is a function of the scene contents, the lighting, and the camera pose. A set of n-pixel images of a non-degenerate scene captured from different perspec...
Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael ...
IJCV
2006
194views more  IJCV 2006»
13 years 7 months ago
Reconstructing Open Surfaces from Image Data
In this paper a method for fitting open surfaces to data obtained from images is presented using a level set representation of the surface. This is done by tracking a curve, repres...
Jan Erik Solem, Anders Heyden