TEASER++ is a fast and certifiably-robust point cloud registration library written in C++, with Python and MATLAB bindings.
I'm very interesting in point cloud registration and I found TEASER++ algorithm in MIT-SPARK, please refer to original repo. To make it easy to use in my project, I wrapping it with container.
Left: correspondences generated by 3DSmoothNet (green and red lines represent the inlier and outlier correspondences according to the ground truth respectively). Right: alignment estimated by TEASER++ (green dots represent inliers found by TEASER++).
In the container including :
- JupyterLab
- TensorFlow - GPU
- CMake v3.19.3
- Open3D
- Clang v6.0
- Python3
- Others
$ sh run-teaser.sh