A list of papers and datasets about point cloud analysis (processing)
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Updated
May 19, 2023
A list of papers and datasets about point cloud analysis (processing)
image registration related books, papers, videos, and toolboxes
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
A list of papers about point clouds registration
OpenGR: A C++ library for 3D Global Registration
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
graph-theoretic framework for robust pairwise data association
Fast and robust global registration for terrestrial robots @ ICRA2022
Configurable point cloud registration pipeline.
Certifiable Outlier-Robust Geometric Perception
K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching (RA-L 2022)
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
Density Adaptive Point Set Registration
Azure Kinect multi-camera extrinsic calibration
[ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
[ICCV 2021] CPD with Local Surface Geometry (LSG-CPD)
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
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