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-# sgm
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+# Semi-Global Matching on the GPU
+
+This is the implementation of [Embedded real-time stereo estimation via Semi-Global Matching on the GPU](http://www.sciencedirect.com/science/article/pii/S1877050916306561), [D. Hernandez-Juarez](http://www.cvc.uab.es/people/dhernandez/) et al, ICCS 2016.
+
+## How to compile and test
+
+Simply use CMake and target the output directory as "build". In command line this would be (from the project root folder):
+
+```
+mkdir build
+cd build
+cmake ..
+make
+```
+
+## How to use it
+
+Type: `./sgm dir p1 p2`
+
+The arguments `p1` and `p2` are semi-global matching parameters, for more information read the SGM paper.
+
+`dir` is the name of the directory which needs this format:
+
+```
+dir
+---- left (images taken from the left camera)
+---- right (right camera)
+---- disparities (results will be here)
+```
+
+## Related Publications
+
+[Embedded real-time stereo estimation via Semi-Global Matching on the GPU](http://www.sciencedirect.com/science/article/pii/S1877050916306561)
+[D. Hernandez-Juarez](http://www.cvc.uab.es/people/dhernandez/), A. Chacón, A. Espinosa, D. Vázquez, J. C. Moure, and A. M. López
+ICCS2016 – International Conference on Computational Science 2016
+
+## Requirements
+
+- OpenCV
+- CUDA
+- CMake