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Photometric Single-view Dense 3D Reconstruction in Endoscopy

Implementation for MICCAI 2022 paper Photometric single-view dense 3D reconstruction in endoscopy by Víctor M. Batlle, J.M.M. Montiel, and Juan D. Tardós.

**[Paper]

Setup

Make sure Eigen, OpenCV, and Ceres are installed. Add Ceres installation location to environment variable called CERES_PATH.

After cloning the repo, run the following:

mkdir build
cd build
cmake ../photometric_reconstruction
make

Edit the get_camera_params() function with your camera's parameters based on the paper.

Reconstruction/Visualization

Example images included in images directory:

Original:

image

Reconstructed:

image

Evaluation

TODO

🤝 Contributing

Contributions from the community are welcome! If you have any ideas or suggestions for improving the library, please feel free to: submit a pull request, raise an issue, e.t.c.

Bibtex

If you find this work helpful, you can cite our paper as follows:

@INPROCEEDINGS{
  9981742,
  author={Batlle, Víctor M. and Montiel, J.M.M. and Tardós, Juan D.},
  booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
  title={Photometric single-view dense 3D reconstruction in endoscopy}, 
  year={2022},
  volume={},
  number={},
  pages={4904-4910},
  doi={10.1109/IROS47612.2022.9981742}
  }

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