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» Statistical Modeling of Optical Flow
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CVPR
2004
IEEE
16 years 1 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
FDL
2006
IEEE
15 years 5 months ago
Functional Virtual Prototyping Design Flow and VHDL-AMS
Needs in the worldwide competition push teams to master more and more their design flow in order to minimize risks, costs, time to market, and potential liabilities. The classical...
Yannick Hervé, Patricia Desgreys
CVPR
2008
IEEE
16 years 1 months ago
Increasing the density of Active Appearance Models
Active Appearance Models (AAMs) typically only use 50-100 mesh vertices because they are usually constructed from a set of training images with the vertices hand-labeled on them. ...
Krishnan Ramnath, Simon Baker, Iain Matthews, Deva...
ICPR
2006
IEEE
16 years 28 days ago
Modelling Crowd Scenes for Event Detection
This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
Ernesto L. Andrade, Robert B. Fisher, Scott Blunsd...
CVPR
2010
IEEE
15 years 7 months ago
Modeling and Estimating Persistent Motion with Geometric Flows
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
Dahua Lin, Eric Grimson, John Fisher