Point Cloud Library (PCL)
1.7.0
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00001 /** \mainpage PCL API Documentation 00002 00003 <h1>Overview</h1> 00004 00005 The <b>Point Cloud Library (PCL)</b> is a <b>large scale, open project</b>[1] 00006 for point cloud processing. The PCL framework contains numerous state-of-the 00007 art algorithms including filtering, feature estimation, surface reconstruction, 00008 registration, model fitting and segmentation. These algorithms can be used, for 00009 example, to filter outliers from noisy data, stitch 3D point clouds together, 00010 segment relevant parts of a scene, extract keypoints and compute descriptors to 00011 recognize objects in the world based on their geometric appearance, and create 00012 surfaces from point clouds and visualize them -- to name a few. 00013 00014 PCL is released under the terms of the <a 00015 href="http://en.wikipedia.org/wiki/BSD_licenses#3-clause_license_.28.22New_BSD_License.22_or_.22Modified_BSD_License.22.29"> 00016 BSD license</a> and is open source software. <b>It is free for commercial and 00017 research use.</b> 00018 00019 \image html http://www.pointclouds.org/assets/images/contents/logos/pointcloudlibrary_logo.png 00020 00021 PCL is cross-platform, and has been successfully compiled and deployed on 00022 Linux, MacOS, Windows, and Android. To simplify development, PCL is split into 00023 a series of smaller code libraries, that can be compiled separately. This 00024 modularity is important for distributing PCL on platforms with reduced 00025 computational or size constraints. 00026 00027 Please visit http://www.pointclouds.org for more information. 00028 00029 <h1>Quick Links</h1> 00030 <ul> 00031 <li>Main website: http://www.pointclouds.org</li> 00032 <li>Developer Zone: http://dev.pointclouds.org</li> 00033 <li>SVN Repository: http://svn.pointclouds.org</li> 00034 <li>Build farm: http://build.pointclouds.org</li> 00035 </ul> 00036 00037 <h1>References</h1> 00038 00039 [1] For more information, including a scientific citation (more to be added soon), please see: 00040 <pre> 00041 @@InProceedings{Rusu_ICRA2011_PCL, 00042 author = {Radu Bogdan Rusu and Steve Cousins}, 00043 title = {{3D is here: Point Cloud Library (PCL)}}, 00044 booktitle = {{IEEE International Conference on Robotics and Automation (ICRA)}}, 00045 month = {May 9-13}, 00046 year = {2011}, 00047 address = {Shanghai, China} 00048 } 00049 </pre> 00050 <a href="http://www.pointclouds.org/assets/pdf/pcl_icra2011.pdf">Download PDF here</a>. 00051 00052 If you are referencing PCL in your work, please do <a 00053 href="http://www.pointclouds.org/contact.html">contact us</a>. We're trying to 00054 gather a list of publications that use PCL, and present it here. That will give 00055 your work visibility, and it would help us understand what parts of PCL should 00056 we be working on. Thank you. 00057 00058 */