Public Types | Public Member Functions | Protected Member Functions | Protected Attributes | Private Types
pcl::SegmentDifferences< PointT > Class Template Reference

SegmentDifferences obtains the difference between two spatially aligned point clouds and returns the difference between them for a maximum given distance threshold. More...

#include <segment_differences.h>

Inheritance diagram for pcl::SegmentDifferences< PointT >:
Inheritance graph
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List of all members.

Public Types

typedef pcl::search::Search
< PointT
KdTree
typedef pcl::search::Search
< PointT >::Ptr 
KdTreePtr
typedef pcl::PointCloud< PointTPointCloud
typedef PointCloud::ConstPtr PointCloudConstPtr
typedef PointCloud::Ptr PointCloudPtr
typedef PointIndices::ConstPtr PointIndicesConstPtr
typedef PointIndices::Ptr PointIndicesPtr

Public Member Functions

double getDistanceThreshold ()
 Get the squared distance tolerance between corresponding points as a measure in the L2 Euclidean space.
KdTreePtr getSearchMethod ()
 Get a pointer to the search method used.
PointCloudConstPtr const getTargetCloud ()
 Get a pointer to the input target point cloud dataset.
void segment (PointCloud &output)
 Segment differences between two input point clouds.
 SegmentDifferences ()
 Empty constructor.
void setDistanceThreshold (double sqr_threshold)
 Set the maximum distance tolerance (squared) between corresponding points in the two input datasets.
void setSearchMethod (const KdTreePtr &tree)
 Provide a pointer to the search object.
void setTargetCloud (const PointCloudConstPtr &cloud)
 Provide a pointer to the target dataset against which we compare the input cloud given in setInputCloud.

Protected Member Functions

virtual std::string getClassName () const
 Class getName method.

Protected Attributes

double distance_threshold_
 The distance tolerance (squared) as a measure in the L2 Euclidean space between corresponding points.
PointCloudConstPtr target_
 The input target point cloud dataset.
KdTreePtr tree_
 A pointer to the spatial search object.

Private Types

typedef PCLBase< PointTBasePCLBase

Detailed Description

template<typename PointT>
class pcl::SegmentDifferences< PointT >

SegmentDifferences obtains the difference between two spatially aligned point clouds and returns the difference between them for a maximum given distance threshold.

Author:
Radu Bogdan Rusu

Definition at line 72 of file segment_differences.h.


Member Typedef Documentation

template<typename PointT>
typedef PCLBase<PointT> pcl::SegmentDifferences< PointT >::BasePCLBase [private]

Definition at line 74 of file segment_differences.h.

template<typename PointT>
typedef pcl::search::Search<PointT> pcl::SegmentDifferences< PointT >::KdTree

Definition at line 81 of file segment_differences.h.

template<typename PointT>
typedef pcl::search::Search<PointT>::Ptr pcl::SegmentDifferences< PointT >::KdTreePtr

Definition at line 82 of file segment_differences.h.

template<typename PointT>
typedef pcl::PointCloud<PointT> pcl::SegmentDifferences< PointT >::PointCloud

Reimplemented from pcl::PCLBase< PointT >.

Definition at line 77 of file segment_differences.h.

Reimplemented from pcl::PCLBase< PointT >.

Definition at line 79 of file segment_differences.h.

template<typename PointT>
typedef PointCloud::Ptr pcl::SegmentDifferences< PointT >::PointCloudPtr

Reimplemented from pcl::PCLBase< PointT >.

Definition at line 78 of file segment_differences.h.

template<typename PointT>
typedef PointIndices::ConstPtr pcl::SegmentDifferences< PointT >::PointIndicesConstPtr

Reimplemented from pcl::PCLBase< PointT >.

Definition at line 85 of file segment_differences.h.

template<typename PointT>
typedef PointIndices::Ptr pcl::SegmentDifferences< PointT >::PointIndicesPtr

Reimplemented from pcl::PCLBase< PointT >.

Definition at line 84 of file segment_differences.h.


Constructor & Destructor Documentation

template<typename PointT>
pcl::SegmentDifferences< PointT >::SegmentDifferences ( ) [inline]

Empty constructor.

Definition at line 88 of file segment_differences.h.


Member Function Documentation

template<typename PointT>
virtual std::string pcl::SegmentDifferences< PointT >::getClassName ( ) const [inline, protected, virtual]

Class getName method.

Definition at line 154 of file segment_differences.h.

template<typename PointT>
double pcl::SegmentDifferences< PointT >::getDistanceThreshold ( ) [inline]

Get the squared distance tolerance between corresponding points as a measure in the L2 Euclidean space.

Definition at line 126 of file segment_differences.h.

template<typename PointT>
KdTreePtr pcl::SegmentDifferences< PointT >::getSearchMethod ( ) [inline]

Get a pointer to the search method used.

Definition at line 112 of file segment_differences.h.

template<typename PointT>
PointCloudConstPtr const pcl::SegmentDifferences< PointT >::getTargetCloud ( ) [inline]

Get a pointer to the input target point cloud dataset.

Definition at line 102 of file segment_differences.h.

template<typename PointT >
void pcl::SegmentDifferences< PointT >::segment ( PointCloud output)

Segment differences between two input point clouds.

Parameters:
outputthe resultant difference between the two point clouds as a PointCloud

Definition at line 99 of file segment_differences.hpp.

template<typename PointT>
void pcl::SegmentDifferences< PointT >::setDistanceThreshold ( double  sqr_threshold) [inline]

Set the maximum distance tolerance (squared) between corresponding points in the two input datasets.

Parameters:
sqr_thresholdthe squared distance tolerance as a measure in L2 Euclidean space

Definition at line 120 of file segment_differences.h.

template<typename PointT>
void pcl::SegmentDifferences< PointT >::setSearchMethod ( const KdTreePtr tree) [inline]

Provide a pointer to the search object.

Parameters:
treea pointer to the spatial search object.

Definition at line 108 of file segment_differences.h.

template<typename PointT>
void pcl::SegmentDifferences< PointT >::setTargetCloud ( const PointCloudConstPtr cloud) [inline]

Provide a pointer to the target dataset against which we compare the input cloud given in setInputCloud.

Parameters:
cloudthe target PointCloud dataset

Definition at line 98 of file segment_differences.h.


Member Data Documentation

template<typename PointT>
double pcl::SegmentDifferences< PointT >::distance_threshold_ [protected]

The distance tolerance (squared) as a measure in the L2 Euclidean space between corresponding points.

Definition at line 150 of file segment_differences.h.

template<typename PointT>
PointCloudConstPtr pcl::SegmentDifferences< PointT >::target_ [protected]

The input target point cloud dataset.

Definition at line 145 of file segment_differences.h.

template<typename PointT>
KdTreePtr pcl::SegmentDifferences< PointT >::tree_ [protected]

A pointer to the spatial search object.

Definition at line 142 of file segment_differences.h.


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


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:20:10