point-cloud-registration
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Register Gaussian splats: align & merge two 3DGS scans into one SE(3)/Sim(3) frame — classical, learned, or zero-shot (BUFFER-X) seeds + splat-native refine. pip install splatreg.
register 3D point clouds using rotation, translation, and scale transformations.
Coherent point drift alignment (rigid, deform) in Rust, with Python bindings
Fast and Robust ICP — 3-D point cloud registration in Rust, with Python bindings
Python package of SDRSAC(Global point cloud regitsration, CVPR2019 Oral)
