Open3D: A Modern Library for 3D Data Processing
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Updated
Jun 13, 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.
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.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
3D CAD viewer and converter based on Qt + OpenCascade
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
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]
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
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.
Full-python LiDAR SLAM using ICP and Scan Context
Pointcloud-based graph SLAM written in C++ using open3D library.