There are 94 repositories under point-cloud topic.
A resource repository for 3D machine learning
Point Cloud Library (PCL)
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.
OpenMMLab's next-generation platform for general 3D object detection.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
open Multi-View Stereo reconstruction library
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Pytorch framework for doing deep learning on point clouds.
User-friendly, commercial-grade software for processing aerial imagery. 🛩
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
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.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
PyTorch implementation of Pointnet2/Pointnet++
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Papers and Datasets about Point Cloud.
A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data
A lean C++ library for working with point cloud data
blender python scripts
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
A collection of GICP-based fast point cloud registration algorithms
Paper reading notes on Deep Learning and Machine Learning