Point Cloud Library (PCL)
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Updated
Mar 21, 2026 - C++
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.
Point Cloud Library (PCL)
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.
OpenMMLab's next-generation platform for general 3D object detection.
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 Learning on Point Sets for 3D Classification and Segmentation
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
open Multi-View Stereo reconstruction library
User-friendly, commercial-grade software for processing aerial imagery.
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia, Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
Papers and Datasets about Point Cloud.
Pytorch framework for doing deep learning on point clouds.
Specification for streaming massive heterogeneous 3D geospatial datasets 🌎