Fast and robust global registration for terrestrial robots @ ICRA2022
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Updated
May 27, 2024 - C++
Fast and robust global registration for terrestrial robots @ ICRA2022
K-Closest Points and Maximum Clique Pruning for Efficient and Effective 3-D Laser Scan Matching (RA-L 2022)
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
High-Fidelity 3D Reconstruction via Graph Optimization. A Multi-Frame Registration and reconstruction algorithm.
[ICRA 2023] Segregator: Global Point Cloud Registration with Semantic and Geometric Cues
OpenGR: A C++ library for 3D Global Registration
Azure Kinect multi-camera extrinsic calibration
Analysis and implementation of ICP variants
graph-theoretic framework for robust pairwise data association
Repository for software and assets developed during Eberty's master's project
header-only C++ library for registering 3D point clouds using rotation, translation, and scale transformations
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
Single-Header Reference Implementation of Rigid Coherent Point Drift in C++ / Eigen3 in < 80 LOC
Configurable point cloud registration pipeline.
SJTU CS473 Project: Implementation of Deep Closest Point in TensorFlow, and its comparison with other registration methods.
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