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» Statistical Modeling of Optical Flow
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CVPR
1997
IEEE
16 years 1 months ago
Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields
This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solvin...
Antonis A. Argyros, Stelios C. Orphanoudakis
BROADNETS
2006
IEEE
15 years 6 months ago
A Framework for Absolute QoS Guarantees in Optical Burst Switched Networks
— We consider the problem of supporting absolute QoS guarantees in terms of the end-to-end burst loss in OBS networks. We present a parameterized model for wavelength sharing whi...
Li Yang, George N. Rouskas
DAGM
2008
Springer
15 years 1 months ago
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
CVPR
2010
IEEE
15 years 8 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
CVPR
2006
IEEE
15 years 5 months ago
Specular Flow and the Recovery of Surface Structure
In scenes containing specular objects, the image motion observed by a moving camera may be an intermixed combination of optical flow resulting from diffuse reflectance (diffuse ...
Stefan Roth, Michael J. Black