Python implementation of m-dimensional Iterative Closest Point method. ICP finds a best fit rigid body transformation between two point sets. Correspondence between the points is not assumed. Included is an SVD-based least-squared best-fit algorithm for corresponding point sets.
This repository was initially created as a fork of ClayFlanningan/icp. Many thanks to him and contributors for their work who helped me create my own version of this algorithm.
pip install -r requirements.txt