Simple CPU implementation of Semi-Global Matching using Census Transform and Hamming Distance Matching Cost.
$git clone https://github.com/epiception/SGM-Census.git
$cd ~/path/to/SGM-Census
$make
Usage
./sgm <right image> <left image> <output image file> <disparity range>
Examples
./sgm Examples/teddy/right.png Examples/teddy/left.png output_disparity.png 64
- Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
- Semi-Global Matching - Motivation, Developments and Applications
- Semi-Global Matching
- Middlebury Stereo Datasets
- Kitti Stereo Dataset
- Main Reference: https://github.com/reisub/SemiGlobal-Matching
- Terminal progress bars: https://github.com/luigipertoldi/progressbar