gitlab.inria.fr/users/pheas/projects
Below are previous codes. They are non-optimized prototypes. They implement the main methods appearing in my publications. The core has been written in C/C++ by myself. They are distributed and protected by the free software licence LGPL 2.1 .
SELF-SIMILAR PRIOR AND WAVELET BASES FOR TURBULENT MOTION ESTIMATION (Licence LGPL 2.1)
SIAM Journal on Imaging Sciences, Volume 7, Issue 2, pp. 1171-1209, 2014.
Download C++ Code (All plateforms)
Download Executable (Mac OS)
WAVELET BASES AND HIGH-ORDER REGULARIZATION (Licence LGPL 2.1)
International Journal of Computer Vision, Volume 103, Issue 1, pp 80-99, May 2013.
Numerical Mathematics: Theory, Methods and Applications, pp. 116-137, 6, 2013.
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Download Executable (Mac OS)
BAYESIAN ESTIMATION OF TURBULENT MOTION (Licence LGPL 2.1)
IEEE transactions on Pattern Analysis And Machine Intelligence, 35(6), pp. 1343-56, June 2013.
Tellus Series A: Dynamic Meteorology and Oceanography, 64, 10962, 2012 .
Download C++ Code (Linux)
Download Executable (Linux)
Download C++ Code (Mac OS)
Download Executable (Mac OS)
BAYESIAN INFERENCE IN MOTION ESTIMATION (Licence LGPL 2.1)
IEEE transactions on Image Processing. 21(4):1437 -1451, 2012
Download C++ Code (Linux)
Download Executable (Linux)
Download C++ Code (Mac OS)
Download Executable (Mac OS)
ESTIMATION OF ATMOSPHERIC LAYERS 3D MOTION (Licence LGPL 2.1)
IEEE transactions on Geosciences and Remote Sensing, Vol. 46, Issue. 8, pp. 2385-2396, 2008
SPATIO-TEMPORAL REGULARIZATION AND CORRELATION-VARIATIONAL APPROACH (Licence LGPL 2.1)
IEEE transactions on Geosciences and Remote Sensing, pp. 4087-4104, vol. 45, Issue 12, Part 2, 2007
Experiments in Fluids. 45(4):595-608, 2008.
BAYESIAN LEARNING OF SPATIO-TEMPORAL PATTERNS IN SATELLITE IMAGERY
IEEE Transactions on Geoscience and Remote Sensing, pp. 1635 - 1647, vol. 43, Issue 7, 2005.
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ASTRONOMICAL IMAGE SEGMENTATION USING MORPHOLOGICAL OPERATORS
Master thesis Report, 2000 (in french).
