Phase-based Optical Flow
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The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136.
The algo proceeds in 3 steps
1. spatial filtering
2. phase gradient estimation
3. IOC using recurrent networks
Cite As
Temu (2026). Phase-based Optical Flow (https://www.mathworks.com/matlabcentral/fileexchange/2422-phase-based-optical-flow), MATLAB Central File Exchange. Retrieved .
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Platform Compatibility
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- Image Processing and Computer Vision > Computer Vision Toolbox > Tracking and Motion Estimation > Motion Estimation >
Tags
Acknowledgements
Inspired: Wavelet Approximations Phase-based Optical Flow GUI
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 | Update of the algorithm itself: rather than using the goal programming network for solving the intersection-of-constraints, it now finds the solution analytically. Should have done this in the first place, but ah well ... |
