216 Open source projects that are alternatives of or similar to Point Cloud Annotation Tool

Cluster based segmentation of Point Cloud with PCL lib in ROS

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Patch-base progressive 3D Point Set Upsampling

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

A high-performance neural network library for point cloud processing.

open Multi-View Stereo reconstruction library

3D Graph Neural Networks for RGBD Semantic Segmentation

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

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

The open source mesh processing system

Lightweight and Accurate Point Cloud Clustering

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

A learned sampling approach for point clouds (CVPR 2019)

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

Polylidar3D - Fast polygon extraction from 3D Data

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

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

L-CAS 3D Point Cloud Annotation Tool

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

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

code/webpage for the DeepMapping project

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

Research platform for 3D object detection in PyTorch.

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Implementation of the Point Transformer layer, in Pytorch

CloudCompare main repository

Differentiable Surface Splatting

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Code for Pointwise Convolutional Neural Networks, CVPR 2018

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

orb-slam2 with semantic label

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Paperlist of awesome 3D detection methods

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

The public CGAL repository, see the README below

Keras implementation for Pointnet

Python binding of 3D visualization library Pangolin

A list of resources about deep learning solutions on 3D shape processing

Papers and Datasets about Point Cloud.

This is the official implementation of RSNet.

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

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

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

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

Neural Point-Based Graphics

3D Heritage Online Presenter

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Visualising LIDAR data from KITTI dataset.

Python bindings for the Point Cloud Library (PCL)

The PyTorch Implementation of F-ConvNet for 3D Object Detection

A hackable lidar viewer

Grid-GCN for Fast and Scalable Point Cloud Learning