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CVPR
2008
IEEE
16 years 4 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ECCV
2004
Springer
16 years 3 months ago
On Refractive Optical Flow
This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object fr...
Sameer Agarwal, Satya P. Mallick, David J. Kriegma...
ECCV
1996
Springer
16 years 3 months ago
Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
There have been two thrusts in the development of optical flow algorithms. One has emphasized higher accuracy; the other faster implementation. These two thrusts, however, have be...
Hongche Liu, Tsai-Hong Hong, Martin Herman, Rama C...
ICIP
1994
IEEE
16 years 3 months ago
Robust Optical Flow Estimation
Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing ...
Sugata Ghosal, Rajiv Mehrotra
IJCV
2006
206views more  IJCV 2006»
15 years 1 months ago
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
Nils Papenberg, Andrés Bruhn, Thomas Brox, ...