pointcloud
There are 437 repositories under pointcloud topic.
isl-org/Open3D
Open3D: A Modern Library for 3D Data Processing
PointCloudLibrary/pcl
Point Cloud Library (PCL)
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
gkjohnson/three-mesh-bvh
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
laboshinl/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
fougue/mayo
3D CAD viewer and converter based on Qt + OpenCascade
mikeroyal/Photogrammetry-Guide
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
iTowns/itowns
A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data
ranahanocka/point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
cuitaixiang/LOAM_NOTED
loam code noted in Chinese（loam中文注解版）
szenergy/awesome-lidar
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
guochengqian/PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
walzimmer/3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
verma/plasio
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
QingyongHu/SensatUrban
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
at-wat/mcl_3dl
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.
gisbi-kim/PyICP-SLAM
Full-python LiDAR SLAM using ICP and Scan Context
leggedrobotics/open3d_slam
Pointcloud-based graph SLAM written in C++ using open3D library.
ma-xu/pointMLP-pytorch
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
chrischoy/DeepGlobalRegistration
[CVPR 2020 Oral] A differentiable framework for 3D registration
MeshInspector/MeshLib
Mesh processing library
laspy/laspy
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
w111liang222/lidar-slam-detection
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
gisbi-kim/lt-mapper
A Modular Framework for LiDAR-based Lifelong Mapping
halostorm/PCAT_open_source
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
gadomski/cpd
C++ implementation of the Coherent Point Drift point set registration algorithm.
GAP-LAB-CUHK-SZ/MVImgNet
CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images
HuangCongQing/3D-LIDAR-Multi-Object-Tracking
🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
mikeroyal/ISP-Guide
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
JeremyBYU/polylidar
Polylidar3D - Fast polygon extraction from 3D Data
wenbowen123/catgrasp
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
guochengqian/openpoints
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
XuyangBai/D3Feat
[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
Xrvitd/GCNO
Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).