Point Cloud Library (PCL)  1.12.0
/builddir/build/BUILD/pcl-1.12.0/registration/registration.doxy
1 /**
2  \addtogroup registration Module registration
3 
4  \section secRegistrationPresentation Overview
5 
6 Combining several datasets into a global consistent model is usually performed
7 using a technique called registration. The key idea is to identify
8 corresponding points between the data sets and find a transformation that
9 minimizes the distance (alignment error) between corresponding points. This
10 process is repeated, since correspondence search is affected by the relative
11 position and orientation of the data sets. Once the alignment errors fall below
12 a given threshold, the registration is said to be complete.
13 
14 The <b>pcl_registration</b> library implements a plethora of point cloud
15 registration algorithms for both organized and unorganized (general purpose)
16 datasets.
17 
18 \image html http://www.pointclouds.org/assets/images/contents/documentation/registration_outdoor.png
19 \image html http://www.pointclouds.org/assets/images/contents/documentation/registration_closeup.png
20 
21  \section secRegistrationRequirements Requirements
22  - \ref common "common"
23  - \ref kdtree "kdtree"
24  - \ref sample_consensus "sample_consensus"
25  - \ref features "features"
26 
27 */