180 search results - page 6 / 36 » Optical Flow Estimation Using Learned Sparse Model |
101
Voted
IJCV
2000
14 years 9 months ago
2000
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Using the variational approaches to estimate optical flow between two frames, the flow discontinuities between different motion fields are usually not distinguished even when an an...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
131
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
The literature currently provides two ways to establish
point correspondences between images with moving objects.
On one side, there are energy minimization methods
that yield v...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...