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ICCV
2003
IEEE
14 years 11 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
ICIP
1998
IEEE
14 years 10 months ago
Reversing Motion Vector Fields
With the popular use of digital video (VCD, DVD, video conferencing, digital broadcasting system, digital TV and video editing), video streaming technology becomes much more impor...
Susie J. Wee
CVPR
2010
IEEE
14 years 5 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
ECCV
2010
Springer
13 years 7 months ago
Sequential Non-Rigid Structure-from-Motion with the 3D-Implicit Low-Rank Shape Model
So far the Non-Rigid Structure-from-Motion problem has been tackled using a batch approach. All the frames are processed at once after the video acquisition takes place. In this pa...
Marco Paladini, Adrien Bartoli, Lourdes de Agapito
ICCV
2009
IEEE
13 years 6 months ago
Improving accuracy of geometric parameter estimation using projected score method
A fundamental problem in computer vision (CV) is the estimation of geometric parameters from multiple observations obtained from images; examples of such problems range from ellip...
Takayuki Okatani, Koichiro Deguchi