There are 21 repositories under pointcloud topic.
Point Cloud Library (PCL)
Open3D: A Modern Library for 3D Data Processing
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Web labeling tool for bitmap images and point clouds
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
loam code noted in Chinese（loam中文注解版）
LiDAR SLAM: Scan Context + LeGO-LOAM
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
[CVPR 2020 Oral] A differentiable framework for 3D registration
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.
C++ implementation of the Coherent Point Drift point set registration algorithm.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Full-python LiDAR SLAM using ICP and Scan Context
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
A Modular Framework for LiDAR-based Lifelong Mapping
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
:warning: Project migrated to : https://gitlab.com/Oslandia/py3dtiles :warning:
[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding
Polylidar3D - Fast polygon extraction from 3D Data
A point-cloud made from 3d data with Metal.
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465