Point Cloud Library (PCL)  1.6.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines
Public Member Functions
pcl::registration::CorrespondenceRejectorSampleConsensus< PointT > Class Template Reference

CorrespondenceRejectorSampleConsensus implements a correspondence rejection using Random Sample Consensus to identify inliers (and reject outliers) More...

#include <pcl/registration/correspondence_rejection_sample_consensus.h>

Inheritance diagram for pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >:
Inheritance graph
[legend]
Collaboration diagram for pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >:
Collaboration graph
[legend]

List of all members.

Public Member Functions

 CorrespondenceRejectorSampleConsensus ()
 Empty constructor.
virtual ~CorrespondenceRejectorSampleConsensus ()
 Empty destructor.
void getRemainingCorrespondences (const pcl::Correspondences &original_correspondences, pcl::Correspondences &remaining_correspondences)
 Get a list of valid correspondences after rejection from the original set of correspondences.
virtual void setInputCloud (const PointCloudConstPtr &cloud)
 Provide a source point cloud dataset (must contain XYZ data!)
virtual void setTargetCloud (const PointCloudConstPtr &cloud)
 Provide a target point cloud dataset (must contain XYZ data!)
void setInlierThreshold (double threshold)
 Set the maximum distance between corresponding points.
double getInlierThreshold ()
 Get the maximum distance between corresponding points.
void setMaxIterations (int max_iterations)
 Set the maximum number of iterations.
int getMaxIterations ()
 Get the maximum number of iterations.
Eigen::Matrix4f getBestTransformation ()
 Get the best transformation after RANSAC rejection.
virtual void setInputCorrespondences (const CorrespondencesConstPtr &correspondences)
 Provide a pointer to the vector of the input correspondences.
CorrespondencesConstPtr getInputCorrespondences ()
 Get a pointer to the vector of the input correspondences.
void getCorrespondences (pcl::Correspondences &correspondences)
 Run correspondence rejection.
void getRejectedQueryIndices (const pcl::Correspondences &correspondences, std::vector< int > &indices)
 Determine the indices of query points of correspondences that have been rejected, i.e., the difference between the input correspondences (set via setInputCorrespondences) and the given correspondence vector.

Detailed Description

template<typename PointT>
class pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >

CorrespondenceRejectorSampleConsensus implements a correspondence rejection using Random Sample Consensus to identify inliers (and reject outliers)

Author:
Dirk Holz

Definition at line 56 of file correspondence_rejection_sample_consensus.h.


Constructor & Destructor Documentation

Empty constructor.

Definition at line 69 of file correspondence_rejection_sample_consensus.h.

template<typename PointT >
virtual pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::~CorrespondenceRejectorSampleConsensus ( ) [inline, virtual]

Empty destructor.

Definition at line 80 of file correspondence_rejection_sample_consensus.h.


Member Function Documentation

template<typename PointT >
Eigen::Matrix4f pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::getBestTransformation ( ) [inline]

Get the best transformation after RANSAC rejection.

Returns:
The homogeneous 4x4 transformation yielding the largest number of inliers.

Definition at line 131 of file correspondence_rejection_sample_consensus.h.

Run correspondence rejection.

Parameters:
[out]correspondencesVector of correspondences that have not been rejected.

Definition at line 84 of file correspondence_rejection.h.

template<typename PointT >
double pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::getInlierThreshold ( ) [inline]

Get the maximum distance between corresponding points.

Returns:
Distance threshold in the same dimension as source and target data sets.

Definition at line 113 of file correspondence_rejection_sample_consensus.h.

Get a pointer to the vector of the input correspondences.

Returns:
correspondences the const boost shared pointer to a correspondence vector

Definition at line 78 of file correspondence_rejection.h.

template<typename PointT >
int pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::getMaxIterations ( ) [inline]

Get the maximum number of iterations.

Returns:
max_iterations Maximum number if iterations to run

Definition at line 125 of file correspondence_rejection_sample_consensus.h.

void pcl::registration::CorrespondenceRejector::getRejectedQueryIndices ( const pcl::Correspondences correspondences,
std::vector< int > &  indices 
) [inline, inherited]

Determine the indices of query points of correspondences that have been rejected, i.e., the difference between the input correspondences (set via setInputCorrespondences) and the given correspondence vector.

Parameters:
[in]correspondencesVector of correspondences after rejection
[out]indicesVector of query point indices of those correspondences that have been rejected.

Definition at line 112 of file correspondence_rejection.h.

template<typename PointT >
void pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::getRemainingCorrespondences ( const pcl::Correspondences original_correspondences,
pcl::Correspondences remaining_correspondences 
) [inline, virtual]

Get a list of valid correspondences after rejection from the original set of correspondences.

Parameters:
[in]original_correspondencesthe set of initial correspondences given
[out]remaining_correspondencesthe resultant filtered set of remaining correspondences

Implements pcl::registration::CorrespondenceRejector.

Definition at line 45 of file correspondence_rejection_sample_consensus.hpp.

template<typename PointT >
void pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::setInlierThreshold ( double  threshold) [inline]

Set the maximum distance between corresponding points.

Correspondences with distances below the threshold are considered as inliers.

Parameters:
[in]thresholdDistance threshold in the same dimension as source and target data sets.

Definition at line 107 of file correspondence_rejection_sample_consensus.h.

template<typename PointT >
virtual void pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::setInputCloud ( const PointCloudConstPtr &  cloud) [inline, virtual]

Provide a source point cloud dataset (must contain XYZ data!)

Parameters:
[in]clouda cloud containing XYZ data

Definition at line 94 of file correspondence_rejection_sample_consensus.h.

virtual void pcl::registration::CorrespondenceRejector::setInputCorrespondences ( const CorrespondencesConstPtr correspondences) [inline, virtual, inherited]

Provide a pointer to the vector of the input correspondences.

Parameters:
[in]correspondencesthe const boost shared pointer to a correspondence vector

Definition at line 69 of file correspondence_rejection.h.

template<typename PointT >
void pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::setMaxIterations ( int  max_iterations) [inline]

Set the maximum number of iterations.

Parameters:
[in]max_iterationsMaximum number if iterations to run

Definition at line 119 of file correspondence_rejection_sample_consensus.h.

template<typename PointT >
virtual void pcl::registration::CorrespondenceRejectorSampleConsensus< PointT >::setTargetCloud ( const PointCloudConstPtr &  cloud) [inline, virtual]

Provide a target point cloud dataset (must contain XYZ data!)

Parameters:
[in]clouda cloud containing XYZ data

Definition at line 100 of file correspondence_rejection_sample_consensus.h.


The documentation for this class was generated from the following files:
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines