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Online 3D reconstruction and dense tracking in endoscopic videos

Paper

Tracking 3D Semantic Segmentation


Installation

pip install -r requirements.txt
git submodule update --init --recursive
pip install -e src/submodules/gaussian-rasterization
pip install -e src/submodules/simple-knn

Run

Download the data from StereoMIS Tracking and unpack it in the repository base folder. Once the data is downloaded, you can run our method with:

python run.py configs/StereoMIS/P3_1.yaml --log P3_1 --visualize

Citing

If you find our work useful, please consider citing:

@inproceedings{hayoz2024,
  author = {Hayoz, Michel and Hahne, Christopher and Kurmann, Thomas and Allan, Max and Beldi, Guido and Candinas, Daniel and Marquez-Neila, Pablo and Sznitman, Raphael},
  title = {Online 3D reconstruction and dense tracking in endoscopic videos}
  booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
  year = {2024},
  
}

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