Journal of Approximation Theory
The computation of optical flow
ACM Computing Surveys (CSUR)
Computational anatomy: an emerging discipline
Quarterly of Applied Mathematics - Special issue on current and future challenges in the applications of mathematics
Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
Journal of Mathematical Imaging and Vision
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Splines in Higher Order TV Regularization
International Journal of Computer Vision
Coarse to over-fine optical flow estimation
Pattern Recognition
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
ECML '07 Proceedings of the 18th European conference on Machine Learning
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
Proceedings of the 30th DAGM symposium on Pattern Recognition
Efficient minimization method for a generalized total variation functional
IEEE Transactions on Image Processing
Approximation of vectors fields by thin plate splines with tension
Journal of Approximation Theory
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
A duality based algorithm for TV-L¹-optical-flow image registration
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Variational method for super-resolution optical flow
Signal Processing
Hi-index | 0.00 |
We develop an algorithm for the super-resolution optical flow computation by combining variational super-resolution and the variational optical flow computation. Our method first computes the gradient and the spatial difference of a high resolution images from these of low resolution images directly, without computing any high resolution images. Second the algorithm computes optical flow of high resolution image using the results of the first step.