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.
- point-cloud
- 3d-graphics
- compression
- mesh
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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.
CloudCompare main repository
A C++ & Python viewer for 3D data like meshes and point clouds
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
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.
Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
Ground Segmentation from Lidar Point Clouds
Detect 6-DOF grasp poses in point clouds
My awesome point cloud labeling tool
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
Filters the robot's body out of point clouds and laser scans.
A graphical user interface to annotate point clouds and 3D data.