pcl README

The project's README from github.com/PointCloudLibrary/pcl. As one markdown file: README.md.

Point Cloud Library

Release License

Website

The new website is now online at https://pointclouds.org and is open to contributions :hammer_and_wrench:.

If you really need access to the old website, please use the copy made by the internet archive. Please be aware that the website was hacked before and could still be hosting some malicious code.

Continuous integration

Build Platform Status
Ubuntu Status
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Windows Status
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macOS Status
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Documentation Status
Read the Docs Documentation Status

Community

Discord StackOverflow Website

Distribution

Packaging status latest packaged version(s)

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Packaging status

Description

The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing.

PCL is released under the terms of the BSD license, and thus free for commercial and research use. We are financially supported by a consortium of commercial companies, with our own non-profit organization, Open Perception. We would also like to thank individual donors and contributors that have been helping the project.

Compiling

Please refer to the platform specific tutorials:

Documentation

Contributing

Please read CONTRIBUTING.md.

Issues

To report issues, please read CONTRIBUTING.md#bug-reports.

For general questions on how to use the PCL, please consider one of the following alternatives instead:

Citation

We encourage other researchers to cite PCL if they use PCL or its components for their work or baselines. The bibtex entry for the same is

@InProceedings{Rusu_ICRA2011_PCL,
  author    = {Radu Bogdan Rusu and Steve Cousins},
  title     = {{3D is here: Point Cloud Library (PCL)}},
  booktitle = {{IEEE International Conference on Robotics and Automation (ICRA)}},
  month     = {May 9-13},
  year      = {2011},
  address   = {Shanghai, China},
  publisher = {IEEE}
}

pcl (PointCloudLibrary/pcl)

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11.2K ·GitHub
这是什么?PCL(Point Cloud Library,点云库)是一个独立的大型开源项目,用于二维/三维图像和点云处理,涵盖滤波、特征估计、表面重建、配准、模型拟合和分割等功能。
这是我能链接进自己 C++ 代码里的库,还是独立应用?这是一个由多个模块组成的 C++ 库,你需要自行编译,并在自己的机器人或视觉应用中链接使用,它不是图形界面应用。
我该如何编译和安装它?你需要参照针对 Linux、Mac OS X 或 Microsoft Windows 的平台编译教程,从源代码进行编译;它使用 CMake/Make 作为构建系统。
构建之前我需要准备什么?需要一个 C++ 编译器和基于 CMake 的构建工具链(使用 Makefile),以及 PCL 各模块所依赖的第三方库,具体见各平台的编译教程。
有哪些已知的不完善之处需要留意?项目提醒,其旧网站曾遭入侵,可能仍托管着恶意代码,因此用户应改用新的官方网站。
这个库主要面向哪些人?面向从事三维感知、机器人和计算机视觉工作的研究人员和工程师,他们需要为自己的应用提供点云处理的基础构件。
哪些平台得到官方支持?PCL 为 Ubuntu、Windows(x86/x64)和 macOS 提供持续集成(CI)和教程,因此可在这三大主流桌面操作系统上跨平台运行。
在研究中是否应该引用 PCL?应该。项目鼓励研究人员在工作或作为基线使用 PCL 或其组件时引用 PCL,并为此提供了 BibTeX 条目。
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