GitHub / neka-nat / probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

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Commit Stats

Commits: 258
Authors: 8
Mean commits per author: 32.25
Development Distribution Score: 0.039
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/neka-nat/probreg

Topics: 3d, coherent-point-drift, dual-quaternion, dual-quaternion-skinning, expectation-maximization-algorithm, filterreg, gaussian-mixture-models, non-rigid-registration, open3d, point-cloud, point-cloud-registration, registration, rigid-transformations, variational-inference

Funding links: https://github.com/sponsors/neka-nat

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