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LocalMaximum downsamples the cloud, by eliminating points that are locally maximal. More...

#include <pcl/filters/local_maximum.h>

Public Member Functions

LocalMaximum (bool extract_removed_indices=false)
Empty constructor. More...
void setRadius (float radius)
Set the radius to use to determine if a point is the local max. More...
float getRadius () const
Get the radius to use to determine if a point is the local max. More...
- Public Member Functions inherited from pcl::FilterIndices< PointT >
FilterIndices (bool extract_removed_indices=false)
Constructor. More...
void filter (Indices &indices)
Calls the filtering method and returns the filtered point cloud indices. More...
void setNegative (bool negative)
Set whether the regular conditions for points filtering should apply, or the inverted conditions. More...
bool getNegative () const
Get whether the regular conditions for points filtering should apply, or the inverted conditions. More...
void setKeepOrganized (bool keep_organized)
Set whether the filtered points should be kept and set to the value given through setUserFilterValue (default: NaN), or removed from the PointCloud, thus potentially breaking its organized structure. More...
bool getKeepOrganized () const
Get whether the filtered points should be kept and set to the value given through setUserFilterValue (default = NaN), or removed from the PointCloud, thus potentially breaking its organized structure. More...
void setUserFilterValue (float value)
Provide a value that the filtered points should be set to instead of removing them. More...
- Public Member Functions inherited from pcl::Filter< PointT >
Filter (bool extract_removed_indices=false)
Empty constructor. More...
const IndicesConstPtr getRemovedIndices () const
Get the point indices being removed. More...
void getRemovedIndices (PointIndices &pi)
Get the point indices being removed. More...
void filter (PointCloud &output)
Calls the filtering method and returns the filtered dataset in output. More...
- Public Member Functions inherited from pcl::PCLBase< PointT >
PCLBase ()
Empty constructor. More...
PCLBase (const PCLBase &base)
Copy constructor. More...
virtual ~PCLBase ()=default
Destructor. More...
virtual void setInputCloud (const PointCloudConstPtr &cloud)
Provide a pointer to the input dataset. More...
const PointCloudConstPtr getInputCloud () const
Get a pointer to the input point cloud dataset. More...
virtual void setIndices (const IndicesPtr &indices)
Provide a pointer to the vector of indices that represents the input data. More...
virtual void setIndices (const IndicesConstPtr &indices)
Provide a pointer to the vector of indices that represents the input data. More...
virtual void setIndices (const PointIndicesConstPtr &indices)
Provide a pointer to the vector of indices that represents the input data. More...
virtual void setIndices (std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols)
Set the indices for the points laying within an interest region of the point cloud. More...
IndicesPtr getIndices ()
Get a pointer to the vector of indices used. More...
const IndicesConstPtr getIndices () const
Get a pointer to the vector of indices used. More...
const PointT & operator[] (std::size_t pos) const
Override PointCloud operator[] to shorten code. More...

Protected Types

using PointCloud = typename FilterIndices< PointT >::PointCloud
using SearcherPtr = typename pcl::search::Search< PointT >::Ptr

Protected Member Functions

void applyFilter (PointCloud &output) override
Downsample a Point Cloud by eliminating points that are locally maximal in z. More...
void applyFilter (Indices &indices) override
Filtered results are indexed by an indices array. More...
void applyFilterIndices (Indices &indices)
Filtered results are indexed by an indices array. More...
- Protected Member Functions inherited from pcl::Filter< PointT >
const std::string & getClassName () const
Get a string representation of the name of this class. More...
- Protected Member Functions inherited from pcl::PCLBase< PointT >
bool initCompute ()
This method should get called before starting the actual computation. More...
bool deinitCompute ()
This method should get called after finishing the actual computation. More...

Additional Inherited Members

- Public Types inherited from pcl::FilterIndices< PointT >
using PointCloud = pcl::PointCloud< PointT >
using Ptr = shared_ptr< FilterIndices< PointT > >
using ConstPtr = shared_ptr< const FilterIndices< PointT > >
- Public Types inherited from pcl::Filter< PointT >
using Ptr = shared_ptr< Filter< PointT > >
using ConstPtr = shared_ptr< const Filter< PointT > >
using PointCloud = pcl::PointCloud< PointT >
using PointCloudPtr = typename PointCloud::Ptr
using PointCloudConstPtr = typename PointCloud::ConstPtr
- Public Types inherited from pcl::PCLBase< PointT >
using PointCloud = pcl::PointCloud< PointT >
using PointCloudPtr = typename PointCloud::Ptr
using PointCloudConstPtr = typename PointCloud::ConstPtr
using PointIndicesPtr = PointIndices::Ptr
using PointIndicesConstPtr = PointIndices::ConstPtr
- Protected Attributes inherited from pcl::FilterIndices< PointT >
bool negative_
False = normal filter behavior (default), true = inverted behavior. More...
bool keep_organized_
False = remove points (default), true = redefine points, keep structure. More...
float user_filter_value_
The user given value that the filtered point dimensions should be set to (default = NaN). More...
- Protected Attributes inherited from pcl::Filter< PointT >
IndicesPtr removed_indices_
Indices of the points that are removed. More...
std::string filter_name_
The filter name. More...
bool extract_removed_indices_
Set to true if we want to return the indices of the removed points. More...
- Protected Attributes inherited from pcl::PCLBase< PointT >
PointCloudConstPtr input_
The input point cloud dataset. More...
IndicesPtr indices_
A pointer to the vector of point indices to use. More...
bool use_indices_
Set to true if point indices are used. More...
bool fake_indices_
If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. More...

Detailed Description

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

LocalMaximum downsamples the cloud, by eliminating points that are locally maximal.

The LocalMaximum class analyzes each point and removes those that are found to be locally maximal with respect to their neighbors (found via radius search). The comparison is made in the z dimension only at this time.

Author
Bradley J Chambers

Definition at line 60 of file local_maximum.h.

Member Typedef Documentation

PointCloud

template<typename PointT >
using pcl::LocalMaximum< PointT >::PointCloud = typename FilterIndices<PointT>::PointCloud
protected

Definition at line 63 of file local_maximum.h.

SearcherPtr

template<typename PointT >
using pcl::LocalMaximum< PointT >::SearcherPtr = typename pcl::search::Search<PointT>::Ptr
protected

Definition at line 64 of file local_maximum.h.

Constructor & Destructor Documentation

LocalMaximum()

template<typename PointT >
pcl::LocalMaximum< PointT >::LocalMaximum ( bool extract_removed_indices = false )
inline

Empty constructor.

Definition at line 68 of file local_maximum.h.

References pcl::Filter< PointT >::filter_name_.

Member Function Documentation

applyFilter() [1/2]

template<typename PointT >
void pcl::LocalMaximum< PointT >::applyFilter ( Indices & indices )
inlineoverrideprotectedvirtual

Filtered results are indexed by an indices array.

Parameters
[out] indices The resultant indices.

Implements pcl::FilterIndices< PointT >.

Definition at line 107 of file local_maximum.h.

References pcl::LocalMaximum< PointT >::applyFilterIndices().

applyFilter() [2/2]

template<typename PointT >
void pcl::LocalMaximum< PointT >::applyFilter ( PointCloud & output )
overrideprotectedvirtual

Downsample a Point Cloud by eliminating points that are locally maximal in z.

Parameters
[out] output the resultant point cloud message

Reimplemented from pcl::FilterIndices< PointT >.

Definition at line 54 of file local_maximum.hpp.

References pcl::PointCloud< PointT >::clear(), pcl::PointCloud< PointT >::height, pcl::PointCloud< PointT >::is_dense, and pcl::PointCloud< PointT >::width.

applyFilterIndices()

template<typename PointT >
void pcl::LocalMaximum< PointT >::applyFilterIndices ( Indices & indices )
protected

getRadius()

template<typename PointT >
float pcl::LocalMaximum< PointT >::getRadius ( ) const
inline

Get the radius to use to determine if a point is the local max.

Returns
The radius to use to determine if a point is the local max.

Definition at line 86 of file local_maximum.h.

setRadius()

template<typename PointT >
void pcl::LocalMaximum< PointT >::setRadius ( float radius )
inline

Set the radius to use to determine if a point is the local max.

Parameters
[in] radius The radius to use to determine if a point is the local max.

Definition at line 80 of file local_maximum.h.


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

© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/classpcl_1_1_local_maximum.html