A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
Open3D: A Modern Library for 3D Data Processing
Point Cloud Library (PCL)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Web labeling tool for bitmap images and point clouds
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
3D CAD viewer and converter based on Qt + OpenCascade
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
loam code noted in Chinese（loam中文注解版）
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
Full-python LiDAR SLAM using ICP and Scan Context
Mesh processing library
Pointcloud-based graph SLAM written in C++ using open3D library.
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic