There are 19 repositories under point-cloud-registration topic.
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
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
[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
Azure Kinect multi-camera extrinsic calibration
[CVPR2023] Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
[IEEE TGRS 2024] A novel method for registration of MLS and stereo reconstructed point clouds
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
[CVPR2023] PEAL: Prior-embedded Explicit Attention Learning for Low-overlap Point Cloud Registration
Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".
register 3D point clouds using rotation, translation, and scale transformations.
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
[ICCV 2021] CPD with Local Surface Geometry (LSG-CPD)
header-only C++ library for registering 3D point clouds using rotation, translation, and scale transformations
Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
Repository for software and assets developed during Eberty's master's project
[ICME 2023, Oral]HybridPoint: Point cloud registration based on hybrid point sampling and matching
Frame-to-Frame Registration using Gaussian Mixture Models.
Small python implementation of point pair feature matching via Drost-PPF / PPF-Voting. Optional binary extension via nanobind for speed
[ICME 2024] VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering