Classes | Namespaces
icp.h File Reference
#include <pcl/sample_consensus/ransac.h>
#include <pcl/sample_consensus/sac_model_registration.h>
#include <pcl/registration/registration.h>
#include <pcl/registration/transformation_estimation_svd.h>
#include <pcl/registration/transformation_estimation_point_to_plane_lls.h>
#include <pcl/registration/correspondence_estimation.h>
#include <pcl/registration/default_convergence_criteria.h>
#include <pcl/registration/impl/icp.hpp>
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class  pcl::IterativeClosestPoint< PointSource, PointTarget, Scalar >
 IterativeClosestPoint provides a base implementation of the Iterative Closest Point algorithm. The transformation is estimated based on Singular Value Decomposition (SVD). More...
class  pcl::IterativeClosestPointWithNormals< PointSource, PointTarget, Scalar >
 IterativeClosestPointWithNormals is a special case of IterativeClosestPoint, that uses a transformation estimated based on Point to Plane distances by default. More...


namespace  pcl

Author(s): Open Perception
autogenerated on Wed Aug 26 2015 15:38:45