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The latest code can always be downloaded at https://github.com/danielhauagge/CUDABOF AUTHORS ---------------------------------------------------------------------- Daniel Hauagge <daniel.hauagge@gmail.com> REFERENCES ---------------------------------------------------------------------- This is the implementation of the algorithm presented in Bayesian Multi-scale Differential Optical Flow E P Simoncelli, Handbook of Computer Vision and Applications, pages 397--422. Academic Press, Apr 1999. variable naming follows closelly that used in the article. The derivative kernels were extracted from Optimally Rotation-Equivariant Directional Derivative Kernels H Farid and E P Simoncelli, Int'l Conf Computer Analysis of Images and Patterns, pp. 207--214, Sep 1997. REQUIREMENTS ---------------------------------------------------------------------- CUDA 1.1 (http://www.nvidia.com/object/cuda_what_is.html) OpenCV (http://sourceforge.net/projects/opencvlibrary/) COMPILING ---------------------------------------------------------------------- To compile this project edit the first lines of the makefile with the correct paths to CUDA resources. After that just type make I only tested this on Linux and beleive that to compile on Windows a fair amount of editing will have to be done.
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Implementation of Bayesian Optical Flow in CUDA
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