Computing the velocity field along contours
Proc. of the ACM SIGGRAPH/SIGART interdisciplinary workshop on Motion: representation and perception
Adapting optical-flow to measure object motion in reflectance and X-ray image sequences
Proc. of the ACM SIGGRAPH/SIGART interdisciplinary workshop on Motion: representation and perception
On the estimation of dense displacement vector fields from image sequences
Proc. of the ACM SIGGRAPH/SIGART interdisciplinary workshop on Motion: representation and perception
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Combining the Advantages of Local and Global Optic Flow Methods
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Accurate optical flow computation under non-uniform brightness variations
Computer Vision and Image Understanding
A probabilistic formulation of image registration
IWCM'04 Proceedings of the 1st international conference on Complex motion
Illumination-robust variational optical flow with photometric invariants
Proceedings of the 29th DAGM conference on Pattern recognition
Image Sequence Interpolation Using Optimal Control
Journal of Mathematical Imaging and Vision
Line Search Multilevel Optimization as Computational Methods for Dense Optical Flow
SIAM Journal on Imaging Sciences
Improving the robustness of variational optical flow through tensor voting
Computer Vision and Image Understanding
Optical flow estimation for motion-compensated compression
Image and Vision Computing
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
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Smoothness constraints have been used to facilitate the estimation of displacement vector fields. Differing from HORN and SCHUNCK 81 who employ a general smoothness requirement, this contribution reports an analysis of an "oriented smoothness" requirement: a change in the displacement vector field is only constrained in the direction perpendicular to the characteristic gray value variation based on which the displacement vector is estimated. An iterative solution for the resulting system of nonlinear partial differential equations is developed. It is shown how this system of equations relates to the one derived by HORN and SCHUNCK 81.