Point Cloud Library (PCL)  1.7.0
/tmp/buildd/pcl-1.7-1.7.0/doc/doxygen/pcl.doxy
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 */