# awesome-point-cloud-processing

**Repository Path**: a20182018/awesome-point-cloud-processing

## Basic Information

- **Project Name**: awesome-point-cloud-processing
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: CC0-1.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2017-03-14
- **Last Updated**: 2021-08-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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). 

## 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++ BSD library for translating and manipulating point cloud data.
- [**libLAS**](http://www.liblas.org/) is a C/C++ library for reading and writing the very common LAS LiDAR format. 

## 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

## Papers 

[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