GCMex - MATLAB wrapper for graph cuts multi-label energy min
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This package provides source and precompiled Matlab mex files for the graph cuts based multi-label energy minimization techniques described in the thesis of Olga Veksler (GCoptimization Version 2.3). The wrapper can be used to solve energy minimizations in the form of:
E(l) = sum_p D(p,l_p) + sum_{p,q} Vpq(l_p,l_q)
Download the compiled mex files (Windows, Mac, Linux) and source code here.
This wrapper is used in the following paper to implement a multi-label CRF on superpixels for class segmentation:
Class Segmentation and Object Localization with Superpixel Neighborhoods, B. Fulkerson, A. Vedaldi, and S. Soatto. In Proceedings of the International Conference on Computer Vision, 2009.
Please cite this paper (in addition to the citations listed on Olga Veksler's page) if you use this in a publication. Click here for the citations in .bib format.
Version 2.3.0 - Changed version number to match Veksler's. Switched to adjacency list max-flow implementation, fixing intermittent crash. Improved error reporting.
Version 1.0 - Initial release
Note: This software can be used only for research purposes. If you wish to use this software for commercial purposes, you should be aware that there is a US patent: R. Zabih, Y. Boykov, O. Veksler, "System and method for fast approximate energy minimization via graph cuts ", United Stated Patent 6,744,923, June 1, 2004
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