A lean C++ library for working with point cloud data
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Updated
Aug 15, 2023 - C++
A lean C++ library for working with point cloud data
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Various point cloud tools for Matlab
KinectFusion implemented in Python with PyTorch
Iterative closest point (ICP) to match point clouds to templates
A Python implementation of the Iterative Closest Point algorithm
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
Registration algorithms (e.g. ICP) for Python with PCL backend.
A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of map making
Analysis and implementation of ICP variants
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
This repo shows a simple way to utilize pcl:IterativeClosestPoint for localization
Accepted at BioImage Computing Workshop in ECCV, 2020
Dash Robotics Perception
Point-Set registration modules for 3D Slicer in ultrasound probe calibration
Computer Graphics: Implementation of Iterative Closest Point (ICP) algorithm
Useful links regarding aligning two Point Clouds
The project proposes Point Cloud registration using ICP (Iterative Closest Point ) algorithm for precise 3D model alignment.
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