StereoMatching

Experimenting with stereo matching

File and folder structure

data folder: contains images and depth results
- My results are not optimal, have a lot of noise and are slow I'll work on
  - reducing noise
  - optimizing computing time
Stereo folder contains my attmpt at trying to organize the "taxonomy" of stereo in classes for an easy pipeline (It's rushed)
- Costs: different cost functions
- Aggregation: only fixed window for now
- Disparity computing : the different global and energy minimization algorithms besides WTA
- Disparity refinment: nothing yet
utilities : data loading and visulisation

I was greatly inspired by https://github.com/2b-t/stereo-matching for their jit implementation but wasn't able to replicate it well

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.vscode		.vscode
C++/src		C++/src
Python		Python
data		data
.gitignore		.gitignore
README.md		README.md