Point Cloud Library (PCL)
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Updated
May 8, 2024 - 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
OpenMMLab's next-generation platform for general 3D object detection.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
The public CGAL repository, see the README below
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
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.
User-friendly, commercial-grade software for processing aerial imagery. 🛩
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
open Multi-View Stereo reconstruction library
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
The open source mesh processing system
3D LIDAR-based Graph SLAM
Frustum PointNets for 3D Object Detection from RGB-D Data
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Specification for streaming massive heterogeneous 3D geospatial datasets 🌎
⚡️The spatial perception framework for rapidly building smart robots and spaces