📄 readme.txt
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Only "example.m" and "optical_flow.m" have been properly documented.The code is an implementation of the phase-based optical flow algorithmdescribed inGautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimationof the Optical Flow Field Using Spatial Filtering, IEEE Trans. Neural Networks,13(5), 1127--1136.I have modified the algorithm by leaving out the Goal ProgrammingNetwork and have replaced it by an analytical solution to theintersection-of-constraints (the original algorithm is still availableas optical_flow_orig.m)The code has been tested on Solaris (Matlab 5.3 R11) and Linux (Matlab6.0 R12), and it works fine.To check the performance, run the example.m script:Coverage: 32.02 %Angular error (full): 4.1771 deg (3.2145 deg)If the errors deviate from these values, there is probably somethingwrong. Feel free to hack in or, alternatively, to email me.For more information, contact:temu@neuro.kuleuven.ac.besimone.neuro.kuleuven.ac.be/temuexample.m example scriptoptical_flow.m optical flow algorithmeval_flow.m evaluate obtained OF (only if desired OF is available)vis_flow.m visualise OFread_sequence.m read image sequenceread_flow.m read OF (Barron's format)rastread.m read Sun raster fileyosemite/ contains yosemite sequence + desired flow% OBSOLETE:optical_flow_orig.m original optical flow algorithmgpn_ada.m Goal Programming Network (calls the mex function)gpn_ada_mex.c sourcegpn_ada_mex.mexglx precompiled for linuxgpn_ada_mex.mexsol precompiled for Solarisgpn_ada_mex.dll precompiled for windowsgpn_ada.m.windows non-mex version (slow, slow, slow)
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