Top 217 point-cloud open source projects

User-friendly, commercial-grade software for processing aerial imagery. 🛩

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

3D Heritage Online Presenter

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Deep Hough Voting for 3D Object Detection in Point Clouds

Sample implementation of an application using KinectFusionLib

Fast and robust algorithm to extract edges in unorganized point clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

Pytorch framework for doing deep learning on point clouds.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data

Regularized Graph CNN for Point Cloud Segmentation

A general 3D object detection codebse.

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

Load 3MX/3MXB format LOD model files generated by Bentley ContextCapture into Unity.

Render large point clouds and voxel grids with blender.

Scripts showcasing filtering techniques applied to point cloud data.

OpenMMLab's next-generation platform for general 3D object detection.

3D LIDAR-based Graph SLAM

Display of Radiohead's House of Cards point cloud data

PyTorch implementation of Pointnet2/Pointnet++

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...

Point cloud importer & renderer for Unity

A resource repository for 3D machine learning

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

Point Cloud Library (PCL)

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A lean C++ library for working with point cloud data

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A curated list of awesome links and software libraries that are useful for robots.

blender python scripts

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.

Paper reading notes on Deep Learning and Machine Learning

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

Interactive Map Correction for 3D Graph SLAM

Convert KITTI dataset to ROS bag file the easy way!

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

Semantic3D segmentation with Open3D and PointNet++

Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

Efficient Global Point-cloud registration

A collection of GICP-based fast point cloud registration algorithms

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

R package for airborne LiDAR data manipulation and visualisation for forestry application