301 Open source projects that are alternatives of or similar to Pcl

点云测体积Demo：用Kinect+PCL点云库测量方体体积。

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

ECCV 2020 papers focusing on point cloud analysis

Scripts showcasing filtering techniques applied to point cloud data.

A port of the Point Cloud Library (PCL) using Java Native Interface (JNI).

Algorithm that converts point cloud data into an occupancy grid

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

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

loam code noted in Chinese（loam中文注解版）

Create 3D labelled bounding boxes in RViz

Polylidar3D - Fast polygon extraction from 3D Data

Point Cloud Compression used in i3s Scene Layer Format

Multi-threaded and SSE friendly NDT algorithm

L-CAS 3D Point Cloud Annotation Tool

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)

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

Edge-detection application with PointCloud Library

A collection of GICP-based fast point cloud registration algorithms

Cluster based segmentation of Point Cloud with PCL lib in ROS

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

Python bindings for the Point Cloud Library (PCL)

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

Stream openni2 depth images over the network

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

Templated python inferface for Point Cloud Library (PCL) based on Cython

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

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

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

Paper reading notes on Deep Learning and Machine Learning

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

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Interactive Map Correction for 3D Graph SLAM

Autoencoder for Point Clouds

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Convert KITTI dataset to ROS bag file the easy way!

Extra properties for MSBuild SDK projects

A Python library for common tasks on 3D point clouds

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

KITTI data processing and 3D CNN for Vehicle Detection

Implementation of the KinectFusion approach in modern C++14 and CUDA

A Three.js-based framework written in Javascript/WebGL for visualizing 3D geospatial data

Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io

C++ implementation of the Coherent Point Drift point set registration algorithm.

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

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

Pure Numpy Implementation of the Coherent Point Drift Algorithm

Geolocation plugin for Xamarin and Windows

Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

Math Parser Java Android C# .NET/MONO (.NET Framework, .NET Core, .NET Standard, .NET PCL, Xamarin.Android, Xamarin.iOS) CLS Library - a super easy, rich and flexible mathematical expression parser (expression evaluator, expression provided as plain text / strings) for JAVA and C#. Main features: rich built-in library of operators, constants, math functions, user defined: arguments, functions, recursive functions and general recursion (direct / indirect). Additionally parser provides grammar and internal syntax checking.

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

Semantic3D segmentation with Open3D and PointNet++

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

A simple unity project to view scans created by the open source 3D scanner project

Point cloud registration pipeline for robot localization and 3D perception