Point cloud

A resource repository for 3D machine learning

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

The public CGAL repository, see the README below

The open source mesh processing system

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

CloudCompare main repository

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

open Multi-View Stereo reconstruction library

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Deep Hough Voting for 3D Object Detection in Point Clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

3D LIDAR-based Graph SLAM

A general 3D object detection codebse.

A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

PyTorch implementation of Pointnet2/Pointnet++

Point cloud importer & renderer for Unity

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

Spatial Sparse Convolution Library

Papers and Datasets about Point Cloud.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.