文件列表:

optical_flow\eval_flow.m (1153, 2002-09-24)
optical_flow\example.m (1497, 2008-11-21)
optical_flow\gpn_ada.m (799, 2002-11-12)
optical_flow\gpn_ada.m.linux (799, 2002-11-12)
optical_flow\gpn_ada.m.windows (1477, 2002-11-12)
optical_flow\gpn_ada_mex.c (4519, 2002-12-23)
optical_flow\gpn_ada_mex.dll (8704, 2003-01-07)
optical_flow\gpn_ada_mex.mexglx (8068, 2002-12-23)
optical_flow\gpn_ada_mex.mexsol (6208, 2002-12-23)
optical_flow\optical_flow.m (4527, 2004-07-27)
optical_flow\optical_flow_orig.m (4627, 2004-07-07)
optical_flow\rastread.m (1583, 2002-09-23)
optical_flow\read_flow.m (854, 2002-09-23)
optical_flow\read_sequence.m (1131, 2002-09-23)
optical_flow\vis_flow.m (970, 2002-09-23)
optical_flow\yosemite\correct_yosemite256 (524312, 2002-09-23)
optical_flow\yosemite\yosemite256.10 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.11 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.12 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.13 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.14 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.16 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.2 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.3 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.4 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.5 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.6 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.7 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.8 (65568, 2002-09-23)
optical_flow\yosemite\yosemite256.9 (65568, 2002-09-23)
optical_flow\yosemite (0, 2008-11-21)
optical_flow (0, 2008-11-21)

Only "example.m" and "optical_flow.m" have been properly documented. The code is an implementation of the phase-based 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. I have modified the algorithm by leaving out the Goal Programming Network and have replaced it by an analytical solution to the intersection-of-constraints (the original algorithm is still available as optical_flow_orig.m) The code has been tested on Solaris (Matlab 5.3 R11) and Linux (Matlab 6.0 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 something wrong. Feel free to hack in or, alternatively, to email me. For more information, contact: temu@neuro.kuleuven.ac.be simone.neuro.kuleuven.ac.be/temu example.m example script optical_flow.m optical flow algorithm eval_flow.m evaluate obtained OF (only if desired OF is available) vis_flow.m visualise OF read_sequence.m read image sequence read_flow.m read OF (Barron's format) rastread.m read Sun raster file yosemite/ contains yosemite sequence + desired flow % OBSOLETE: optical_flow_orig.m original optical flow algorithm gpn_ada.m Goal Programming Network (calls the mex function) gpn_ada_mex.c source gpn_ada_mex.mexglx precompiled for linux gpn_ada_mex.mexsol precompiled for Solaris gpn_ada_mex.dll precompiled for windows gpn_ada.m.windows non-mex version (slow, slow, slow)

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