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)
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
A list of papers about point clouds registration
OpenGR: A C++ library for 3D Global Registration
Fast and robust global registration for terrestrial robots @ ICRA2022
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
[CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
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)
Certifiable Outlier-Robust Geometric Perception
Configurable point cloud registration pipeline.
[ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
Azure Kinect multi-camera extrinsic calibration
[IEEE TGRS 2024] A novel method for registration of MLS and stereo reconstructed point clouds
Density Adaptive Point Set Registration
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