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https://github.com/mmolero/awesome-point-cloud-processing

A curated list of awesome Point Cloud Processing Resources, Libraries, Software
https://github.com/mmolero/awesome-point-cloud-processing

List: awesome-point-cloud-processing

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A curated list of awesome Point Cloud Processing Resources, Libraries, Software

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# awesome-point-cloud-processing



A curated list of awesome Point Cloud Processing Resources, Libraries, Software. Inspired by [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)



**Please feel free to add more resources (pull requests)**



## Tutorials



[Data Structures for Large 3D Point Cloud Processing](http://www7.informatik.uni-wuerzburg.de/mitarbeiter/nuechter/tutorial2014). Data Structures for Large 3D Point Cloud Processing Tutorial at the 13th International Conference on Intelligent Autonomous Systems



[INF555 Geometric Modeling: Digital Representation

and Analysis of Shapes: lecture 7](http://www.enseignement.polytechnique.fr/informatique/INF555/Slides/lecture7.pdf). 



[3D Deep Learning on Point Cloud Data](http://graphics.stanford.edu/courses/cs468-17-spring/LectureSlides/L16%20-%203d%20deep%20learning%20on%20point%20cloud%20(analysis)%20and%20joint%20embedding.pdf)



## Libraries



- [**PCL - Point Cloud Library**](http://pointclouds.org/) is a standalone, large scale, open project for 2D/3D image and point cloud processing.

- [**3DTK - The 3D Toolkit**](http://slam6d.sourceforge.net/) provides algorithms and methods to process 3D point clouds.

- [**PDAL - Point Data Abstraction Library**](http://www.pdal.io/) is a C++/Python BSD library for translating and manipulating point cloud data.

- [**libLAS**](http://liblas.org/) is a C/C++ library for reading and writing the very common LAS LiDAR format (Legacy. Replaced by PDAL).

- [**entwine**](https://github.com/connormanning/entwine/) is a data organization library for massive point clouds, designed to conquer datasets of hundreds of billions of points as well as desktop-scale point clouds.

- [**PotreeConverter**](https://github.com/potree/PotreeConverter) is another data organisation library, generating data for use in the Potree web viewer.

- [**lidR**](https://github.com/Jean-Romain/lidR) R package for Airborne LiDAR Data Manipulation and Visualization for Forestry Applications. 

- [**pypcd**](https://github.com/dimatura/pypcd) Python module to read and write point clouds stored in the PCD file format, used by the Point Cloud Library.

- [**Open3D**](https://github.com/intel-isl/Open3D) is an open-source library that supports rapid development of software that deals with 3D data. It has Python and C++ frontends.

- [**cilantro**](https://github.com/kzampog/cilantro) A Lean and Efficient Library for Point Cloud Data Processing (C++).

- [**PyVista**](https://github.com/pyvista/pyvista/) 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit(VTK).

- [**pyntcloud**](https://github.com/daavoo/pyntcloud) is a Python library for working with 3D point clouds.

- [**pylas**](https://github.com/tmontaigu/pylas) Reading Las (lidar) in Python.

- [**PyTorch**](https://github.com/rusty1s/pytorch_geometric) PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch.



## Software (Open Source)



- [**Paraview**](http://www.paraview.org/). Open-source, multi-platform data analysis and visualization application. 

- [**MeshLab**](http://meshlab.sourceforge.net/). Open source, portable, and extensible system for the processing and editing of unstructured 3D triangular meshes

- [**CloudCompare**](http://www.danielgm.net/cc/). 3D point cloud and mesh processing software 

Open Source Project

- [**OpenFlipper**](http://www.openflipper.org/). An Open Source Geometry Processing and Rendering Framework

- [**PotreeDesktop**](https://github.com/potree/PotreeDesktop). A desktop/portable version of the web-based point cloud viewer [**Potree**](https://github.com/potree/potree)

- [**3d-annotation-tool**](https://github.com/StrayRobots/3d-annotation-tool). A lightweight desktop application to annotate pointclouds for machine learning.



## Servers



- [**LOPoCS**](https://oslandia.github.io/lopocs/) is a point cloud server written in Python

- [**Greyhound**](https://github.com/hobu/greyhound) is a server designed to deliver points from Entwine octrees



## Web-based point cloud viewers



- [**Potree**](https://github.com/potree/potree) is a web-based octree viewer written in Javascript.



## Conferences



- [**International LiDAR Mapping Forum**](https://www.lidarmap.org/) International LiDAR Mapping Forum (ILMF)

- [**3D-ARCH**](http://www.3d-arch.org/) is a series of international workshops to discuss steps and processes for smart 3D reconstruction, modelling, accessing and understanding of digital environments from multiple data sources.

- [**Geo Business**](https://www.geobusinessshow.com/programme/) Geospatial event with many 3D Point clound and LiDAR presentations.

- [**LiDAR Comex**](https://lidarcomex.com/) The Lidar Commercial Expo.



## Community



- [**Laser Scanning Forum**](https://www.laserscanningforum.com/forum/) Laser Scanning Forum

- [**PCL Discord**](https://discord.com/invite/JFFMAXS) Point Cloud Library (PCL) Discord channel.



## Papers 



[awesome-point-cloud-analysis](https://github.com/Yochengliu/awesome-point-cloud-analysis) for anyone who wants to do research about 3D point cloud.



[Efficient Processing of Large 3D Point Clouds](https://www.researchgate.net/publication/233792575_Efficient_Processing_of_Large_3D_Point_Clouds) Jan Elseberg, Dorit Borrmann, Andreas N̈uchtre, Proceedings of the XXIII International Symposium on Information, Communication and Automation Technologies (ICAT '11), 2011 



[Data Structure for Efficient Processing in 3-D](http://www.roboticsproceedings.org/rss01/p48.pdf) Jean-François Lalonde, Nicolas Vandapel and Martial Hebert, Robotics: Science and Systems I, 2005



[An out-of-core octree for massive point cloud processing](http://rs.tudelft.nl/~rlindenbergh/workshop/WenzelIQmulus.pdf) K. Wenzel, M. Rothermel, D. Fritsch, N. Haala, Workshop on Processing Large Geospatial Data 2014



## News



[LiDAR News](https://lidarnews.com/) About 3D laser scanning and lidar, along with a number of related technologies such as unmanned aerial systems – UASs and photogrammetry. 



[LiDAR Mag](https://lidarmag.com/) Magazine about LiDARs.



[Wired](https://www.wired.com/tag/lidar/) The WIRED conversation illuminates how technology is changing every aspect of our lives—from culture to business, science to design.



[GIM International](https://www.gim-international.com/news/lidar) GIM International is the independent and high-quality information source for everything the global geomatics industry has to offer.