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Only released in EOL distros:  

perception_pcl: cminpack | flann | pcl | pcl_android | pcl_ros

Package Summary

PCL - Point Cloud Library: a comprehensive open source library for n-D Point Clouds and 3D geometry processing. The library contains numerous state-of-the art algorithms for: filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation, etc.

perception_pcl: cminpack | flann | pcl | pcl_ros

Package Summary

PCL - Point Cloud Library: a comprehensive open source library for n-D Point Clouds and 3D geometry processing. The library contains numerous state-of-the art algorithms for: filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation, etc.

perception_pcl: flann | pcl | pcl_ros

Package Summary

PCL - Point Cloud Library: a comprehensive open source library for n-D Point Clouds and 3D geometry processing. The library contains numerous state-of-the art algorithms for: filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation, etc.

Package Summary

The Point Cloud Library (or PCL) for point cloud processing - development The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation.

Package Summary

The Point Cloud Library (or PCL) for point cloud processing - development The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation.

http://ros.org/images/wiki/PCL_logo.png

Introduction

The Point Cloud Library (PCL) is a stand-alone C++ library for 3D point cloud processing. You can learn more about PCL by visiting its website, pointclouds.org. The documentation on ROS.org will help you get started using PCL in your ROS applications.

In particular, if you're just getting started with PCL in ROS, we encourage you to make use of the following resources:

For new users of PCL, those resources will provide you with most of the information you'll need to get familiar with the library. Additional information pertaining to using PCL in your ROS applications can be found here on this wiki.

Using PCL in ROS

For information about how to use PCL's ROS-specific data types and how to publish and subscribe to point cloud data, please consult the PCL/ROS overview.

Tutorials

You can find numerous code examples on PCL's tutorials page.

For examples of how to include PCL code in a ROS node, please refer to the Tutorials page.

Documentation

For a detailed reference of PCL's classes and functions, please consult the online API documentation.

For a detailed reference of PCL's classes and functions, please consult the online API documentation.

For a reference guide to PCL's ROS-specific APIs, see the API documentation for the pcl_ros package.


2019-06-22 12:58