Registration Tutorials¶
The PCL Registration API¶
In this document, we describe the point cloud registration API and its modules: the estimation and rejection of point correspondences, and the estimation of rigid transformations.
TestCode : None
How to use iterative closest point¶
This tutorial gives an example of how to use the iterative closest point algorithm to see if one PointCloud is just a rigid transformation of another PointCloud.
TestCode : examples/official/Registration/iterative_closest_point.py
How to incrementally register pairs of clouds¶
This document demonstrates using the Iterative Closest Point algorithm in order to incrementally register a series of point clouds two by two.
TestCode : None
Interactive Iterative Closest Point¶
This tutorial will teach you how to build an interactive ICP program
TestCode : None
How to use Normal Distributions Transform¶
This document demonstrates using the Normal Distributions Transform algorithm to register two large point clouds.
TestCode : examples/official/Registration/normal_distributions_transform.py
In-hand scanner for small objects¶
This document shows how to use the In-hand scanner applications to obtain colored models of small objects with RGB-D cameras.
TestCode : None