Point Cloud Library (PCL)  1.6.0
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pcl::registration::CorrespondenceRejectorMedianDistance Class Reference

CorrespondenceRejectorMedianDistance implements a simple correspondence rejection method based on thresholding based on the median distance between the correspondences. More...

#include <pcl/registration/correspondence_rejection_median_distance.h>

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List of all members.

Public Member Functions

 CorrespondenceRejectorMedianDistance ()
 Empty constructor.
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.
double getMedianDistance () const
 Get the median distance used for thresholding in correspondence rejection.
template<typename PointT >
void setInputCloud (const typename pcl::PointCloud< PointT >::ConstPtr &cloud)
 Provide a source point cloud dataset (must contain XYZ data!), used to compute the correspondence distance.
template<typename PointT >
void setInputTarget (const typename pcl::PointCloud< PointT >::ConstPtr &target)
 Provide a target point cloud dataset (must contain XYZ data!), used to compute the correspondence distance.
void setMedianFactor (double factor)
 Set the factor for correspondence rejection.
double getMedianFactor () const
 Get the factor used for thresholding in correspondence 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

CorrespondenceRejectorMedianDistance implements a simple correspondence rejection method based on thresholding based on the median distance between the correspondences.

Note:
If setInputCloud and setInputTarget are given, then the distances between correspondences will be estimated using the given XYZ data, and not read from the set of input correspondences.
Author:
Aravindhan K Krishnan. This code is ported from libpointmatcher (https://github.com/ethz-asl/libpointmatcher)

Definition at line 60 of file correspondence_rejection_median_distance.h.


Constructor & Destructor Documentation

Empty constructor.

Definition at line 69 of file correspondence_rejection_median_distance.h.


Member Function Documentation

Run correspondence rejection.

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

Definition at line 84 of file correspondence_rejection.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.

Get the median distance used for thresholding in correspondence rejection.

Definition at line 86 of file correspondence_rejection_median_distance.h.

Get the factor used for thresholding in correspondence rejection.

Definition at line 121 of file correspondence_rejection_median_distance.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.

void pcl::registration::CorrespondenceRejectorMedianDistance::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_median_distance.hpp.

template<typename PointT >
void pcl::registration::CorrespondenceRejectorMedianDistance::setInputCloud ( const typename pcl::PointCloud< PointT >::ConstPtr &  cloud) [inline]

Provide a source point cloud dataset (must contain XYZ data!), used to compute the correspondence distance.

Parameters:
[in]clouda cloud containing XYZ data

Definition at line 93 of file correspondence_rejection_median_distance.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::CorrespondenceRejectorMedianDistance::setInputTarget ( const typename pcl::PointCloud< PointT >::ConstPtr &  target) [inline]

Provide a target point cloud dataset (must contain XYZ data!), used to compute the correspondence distance.

Parameters:
[in]targeta cloud containing XYZ data

Definition at line 105 of file correspondence_rejection_median_distance.h.

Set the factor for correspondence rejection.

Points with distance greater than median times factor will be rejected

Parameters:
[in]factorvalue

Definition at line 117 of file correspondence_rejection_median_distance.h.


The documentation for this class was generated from the following files:
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