Classes | Namespaces | Functions

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
 

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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.