Open3D: A Modern Library for 3D Data Processing

About this project

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization. We welcome contributions from the open-source community.

Please cite our work if you use Open3D.

@article{Zhou2018,
	author    = {Qian-Yi Zhou and Jaesik Park and Vladlen Koltun},
	title     = {{Open3D}: {A} Modern Library for {3D} Data Processing},
	journal   = {arXiv:1801.09847},
	year      = {2018},
}

Core features

• Basic 3D data structures
• Basic 3D data processing algorithms
• Scene reconstruction
• Surface alignment
• 3D visualization
• Python binding

Supported compilers

• GCC 4.8 and later on Linux
• XCode 8.0 and later on OS X
• Visual Studio 2015 update 3 and later on Windows

Open3D ecosystem

• Open3D-PointNet: A fork of PyTorch PointNet for point cloud classification and semantic segmentation compatible with Open3D.
• Open3D-PointNet++: A re-implementation of PointNet++ using Open3D to enable real-time semantic segmentation of LIDAR point clouds.

Resources

• Website: open3d.org
• Code: github.com/IntelVCL/Open3D
• Document: open3d.org/docs
• Getting started: open3d.org/docs/getting_started.html
• License: The MIT license