simpleICP
Point cloud alignment tool
A software package implementing a simple algorithm for aligning two 3D point clouds using an iterative closest point method
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
301 stars
7 watching
60 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
computer-visioniterative-closest-pointpoint-cloudpoint-cloud-processingpoint-cloud-registrationrobotics
Related projects:
Repository | Description | Stars |
---|---|---|
| A collection of Matlab classes for working with point clouds and aligning multiple 3D point sets using the Iterative Closest Point (ICP) algorithm. | 118 |
| A modular point cloud matching library used for robot localization and 3D perception in various applications. | 831 |
| A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
| A collection of algorithms for registering 3D point clouds using GICP and related techniques. | 1,324 |
| A C++ library for efficient processing and analysis of 3D point cloud data | 1,048 |
| This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
| A 6 DoF point cloud registration system for correcting offsets between reference and sensor point clouds in 3D perception applications | 10 |
| A Python library for processing and manipulating 3D point clouds | 1,422 |
| A toolkit for visualizing and processing 3D point clouds using octrees and parallelized data structures | 618 |
| A set of libraries and sample code for 3D point cloud processing using CUDA. | 584 |
| A Python package for analyzing aerial point clouds of forest data, including tools for forest inventory and LiDAR data processing. | 92 |
| Java bindings for the Point Cloud Algorithm Library (PDAL) to enable usage on the Java Virtual Machine. | 8 |
| An efficient analysis tool for large point cloud datasets recorded over time | 44 |
| A C++ library for working with point cloud data from various sources. | 1,151 |
| A point cloud registration method using correntropy metrics and bidirectional correspondence | 63 |