Horn-Schunck optical flow method for 3-D images

Version 1.9 (279 KB) by Mohammad Abdur Mustafa
An implementation of Horn-Schunck optical flow method for 3-D images
4.8
(4)
1.6K Downloads
Updated 23 Apr 2020
View License on GitHub

This is an implementation of Horn-Schunck optical flow method for three dimensional images. A demo with test dataset is given.

Cite As

Mustafa, Mohammad A.R. (2016) A data-driven learning approach to image registration. University of Nottingham.

MATLAB Release Compatibility
Created with R2011a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.9

See release notes for this release on GitHub: https://github.com/Mustafa3946/Horn-Schunck-3D-Optical-Flow/releases/tag/v1.9
1.8.0.4

Update
1.8.0.3

Citation corrected
1.8.0.1

Citation added
1.8.0.0

Averaging mask has been changed. Many thanks to John.

1.7.0.0

One typo is corrected at line 51 (uz instead of uy).
1.6.0.0

Weights in Laplacian operator are changed.
1.5.0.0

All the updated files are uploaded.
1.4.0.0

There is an error on HS3D function :
(Iy.*uxAvg) when it should be: (Iy.*uyAvg).

1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.