Implementation and testing of the Fast Point Cloud Registration algorithm.
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Updated
Mar 5, 2019 - Shell
Implementation and testing of the Fast Point Cloud Registration algorithm.
Python package of SDRSAC(Global point cloud regitsration, CVPR2019 Oral)
SJTU CS473 Project: Implementation of Deep Closest Point in TensorFlow, and its comparison with other registration methods.
Configurable point cloud registration pipeline.
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
Assignments covered as a part of the course Mobile-Robotics in Monsoon 2021
TDAzureMerger: a Point-Cloud Merger for Azure Kinects.
Single-Header Reference Implementation of Rigid Coherent Point Drift in C++ / Eigen3 in < 80 LOC
Registration of human MRT point clouds
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
Code for Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks
ICCV 2021 papers and code focus on point cloud analysis
Density Adaptive Point Set Registration
Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)
Robust Partial-to-Partial Point Cloud Registration in a Full Range
This package uses a TurtleBot3 robot with an Intel RealSense D435i depth camera and creates point clouds of Gazebo environments.
Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
header-only C++ library for registering 3D point clouds using rotation, translation, and scale transformations
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