Performance of optical flow techniques
International Journal of Computer Vision
Improved Accuracy in Gradient-Based Optical Flow Estimation
International Journal of Computer Vision
Spatio-Temporal Image Processing: Theory and Scientific Applications
Spatio-Temporal Image Processing: Theory and Scientific Applications
Optical-Flow Estimation while Preserving Its Discontinuities: A Variational Approach
ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2007 courses
Symmetrical Dense Optical Flow Estimation with Occlusions Detection
International Journal of Computer Vision
Bilateral filtering-based optical flow estimation with occlusion detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Parallel architecture for hierarchical optical flow estimation based on FPGA
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.00 |
Determining optical flow has been a wide field of research for more than 20 years now that has not been solved satisfactorily yet. In this work, we study the influence of a nonlinear smoothing process based on bilateral filtering on a Lucas & Kanade framework for the estimation of optical flow between two image frames. Different confidence measures are used to improve the computation process and detect occlusion and innovation phenomena, explicitly handling discontinuous flow fields. By means of simulations we report that the accuracy can be increased significantly, making this approach interesting for further investigations.