stanford_gicp.h File Reference

#include <pcl/io/pcd_io.h>
#include <pcl/registration/registration.h>
#include <pcl/features/feature.h>
#include <pcl/sample_consensus/ransac.h>
#include <pcl/sample_consensus/sac_model_registration.h>
#include <pcl/registration/stanford_gicp/gicp.h>
#include <Eigen/SVD>
#include "pcl/registration/impl/stanford_gicp.hpp"

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Classes
class	pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >
	GeneralizedIterativeClosestPoint is an ICP variant that implements the generalized iterative closest point algorithm as described by Alex Segal et al. More...
Namespaces
namespace	pcl
	Software License Agreement (BSD License)
Functions
template<typename PointSource , typename PointTarget >
void	pcl::estimateRigidTransformationGICP (const pcl::PointCloud< PointSource > &cloud_src, const pcl::PointCloud< PointTarget > &cloud_tgt, Eigen::Matrix4f &transformation_matrix)
	Estimate a rigid rotation transformation between a source and a target point cloud using the transformation estimation step from the Generalized ICP alrogithm.
template<typename PointSource , typename PointTarget >
void	pcl::estimateRigidTransformationGICP (const pcl::PointCloud< PointSource > &cloud_src, const std::vector< int > &indices_src, const pcl::PointCloud< PointTarget > &cloud_tgt, Eigen::Matrix4f &transformation_matrix)
	Estimate a rigid rotation transformation between a source and a target point cloud using the transformation estimation step from the Generalized ICP alrogithm.
template<typename PointSource , typename PointTarget >
void	pcl::estimateRigidTransformationGICP (const pcl::PointCloud< PointSource > &cloud_src, const std::vector< int > &indices_src, const pcl::PointCloud< PointTarget > &cloud_tgt, const std::vector< int > &indices_tgt, Eigen::Matrix4f &transformation_matrix)
	Estimate a rigid rotation transformation between a source and a target point cloud using the transformation estimation step from the Generalized ICP alrogithm.