Point Cloud Library (PCL)  1.8.0
pcl.doxy
1 /** \mainpage PCL API Documentation
2 
3 <h1>Overview</h1>
4 
5 The <b>Point Cloud Library (PCL)</b> is a <b>large scale, open project</b>[1]
6 for point cloud processing. The PCL framework contains numerous state-of-the
7 art algorithms including filtering, feature estimation, surface reconstruction,
8 registration, model fitting and segmentation. These algorithms can be used, for
9 example, to filter outliers from noisy data, stitch 3D point clouds together,
10 segment relevant parts of a scene, extract keypoints and compute descriptors to
11 recognize objects in the world based on their geometric appearance, and create
12 surfaces from point clouds and visualize them -- to name a few.
13 
14 PCL is released under the terms of the <a
15 href="http://en.wikipedia.org/wiki/BSD_licenses#3-clause_license_.28.22New_BSD_License.22_or_.22Modified_BSD_License.22.29">
16 BSD license</a> and is open source software. <b>It is free for commercial and
17 research use.</b>
18 
19 PCL is cross-platform, and has been successfully compiled and deployed on
20 Linux, MacOS, Windows, and Android. To simplify development, PCL is split into
21 a series of smaller code libraries, that can be compiled separately. This
22 modularity is important for distributing PCL on platforms with reduced
23 computational or size constraints.
24 
25 Please visit http://www.pointclouds.org for more information.
26 
27 <h1>Quick Links</h1>
28 <ul>
29  <li>Main website: http://www.pointclouds.org</li>
30  <li>Developer Zone: https://github.com/PointCloudLibrary</li>
31  <li>Build farm: https://travis-ci.org/PointCloudLibrary/pcl</li>
32 </ul>
33 
34 <h1>References</h1>
35 
36 [1] For more information, including a scientific citation (more to be added soon), please see:
37 <pre>
38 @@InProceedings{Rusu_ICRA2011_PCL,
39  author = {Radu Bogdan Rusu and Steve Cousins},
40  title = {{3D is here: Point Cloud Library (PCL)}},
41  booktitle = {{IEEE International Conference on Robotics and Automation (ICRA)}},
42  month = {May 9-13},
43  year = {2011},
44  address = {Shanghai, China}
45 }
46 </pre>
47 <a href="http://www.pointclouds.org/assets/pdf/pcl_icra2011.pdf">Download PDF here</a>.
48 
49 If you are referencing PCL in your work, please do <a
50 href="http://www.pointclouds.org/contact.html">contact us</a>. We're trying to
51 gather a list of publications that use PCL, and present it here. That will give
52 your work visibility, and it would help us understand what parts of PCL should
53 we be working on. Thank you.
54 
55 */