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An easy-to-use wrapper around some of Open3D's registration functionality.

Home Page: https://hummat.github.io/easy-o3d

License: GNU General Public License v3.0

Python 88.53% Jupyter Notebook 11.47%
3d-data icp iterative-closest-point open3d point-cloud pointcloud python ransac ransac-algorithm registration

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easy-o3d's Issues

Generating ground truth transformation

Hi

First off, very useful and excellent wrapper! I am currently using it to evaluate different pipeline setups and registration parameters. I just started looking at the code, but I had a question about getting ground truth transformation. What would be the best way to generate ground truth transformations? I already have some 3d scan data; should I randomly translate the data and save the change as a .json file?

I also have the MPI FAUST Dataset (http://faust.is.tue.mpg.de/), which contains high-resolution human scans with automatically computed ground-truth correspondences. The ground truth is determined by aligning each scan with a standard template mesh ( a low-resolution template mesh with a resolution of 6890 vertices, which is included ). Can one use the ground data?

Thank you!

Todo

  • Proper README.md
  • README.md as interactive GitHub Pages version
  • More tests
  • Finalize run_registration.py script
  • Write hyperopt.py hyperparameter optimization script
  • Finalize tutorial.ipynb
  • Add Fast Global Registration implementation
  • Add RANSAC implementation
  • Add outlier removal
  • Add robust Point-To-Plane kernel option
  • Maybe add multiprocessing support
  • Maybe add multi-scale scheme
  • Maybe add interactive visualization
  • Finalize setup.py
  • Finalize docu

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