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» Optical Flow Estimation Using Learned Sparse Model
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ICIP
2004
IEEE
15 years 11 months ago
Estimating facial pose from a sparse representation
We present an approach to estimate the poses of human heads in natural scenes. The essential features for estimating the head pose are the positions of the prominent facial featur...
Hankyu Moon, M. L. Miller
ICML
2009
IEEE
15 years 10 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
CVPR
2010
IEEE
15 years 6 months ago
Recovering Fluid-type Motions Using Navier-Stokes Potential Flow
The classical optical flow assumes that a feature point maintains constant brightness across the frames. For fluidtype motions such as smoke or clouds, the constant brightness ass...
Feng Li, Liwei Xu, Philippe Guyenne, Jingyi Yu
BROADNETS
2006
IEEE
15 years 1 months ago
Wavelength Assignment in Optical Networks with Imprecise Network State Information
Efficient routing and wavelength assignment (RWA) in wavelength-routed all-optical networks is critical for achieving high efficiency over the backbone links. Extensive research ha...
Satyajeet Ahuja, Marwan Krunz, Srinivasan Ramasubr...
ICIP
2002
IEEE
15 years 11 months ago
Multiresolution moment filters
We define multi-scale moments that are estimated locally by analyzing the image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relatio...
Michael Sühling, Michael Unser, Muthuvel Arig...