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GridMinimum assembles a local 2D grid over a given PointCloud, and downsamples the data. More...

#include <pcl/filters/grid_minimum.h>

Public Member Functions

GridMinimum (const float resolution)
Empty constructor. More...
~GridMinimum ()
Destructor. More...
void setResolution (const float resolution)
Set the grid resolution. More...
float getResolution ()
Get the grid resolution. 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

Protected Member Functions

void applyFilter (PointCloud &output) override
Downsample a Point Cloud using a 2D grid approach. 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...

Protected Attributes

float resolution_
The resolution. More...
float inverse_resolution_
Internal resolution stored as 1/resolution_ for efficiency reasons. More...
- 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...

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

Detailed Description

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

GridMinimum assembles a local 2D grid over a given PointCloud, and downsamples the data.

The GridMinimum class creates a 2D grid over the input point cloud data. Then, in each cell (i.e., 2D grid element), all the points present will be downsampled with the minimum z value. This grid minimum can be useful in a number of topographic processing tasks such as crudely estimating ground returns, especially under foliage.

Author
Bradley J Chambers

Definition at line 61 of file grid_minimum.h.

Member Typedef Documentation

PointCloud

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

Definition at line 69 of file grid_minimum.h.

Constructor & Destructor Documentation

GridMinimum()

template<typename PointT >
pcl::GridMinimum< PointT >::GridMinimum ( const float resolution )
inline

Empty constructor.

Definition at line 73 of file grid_minimum.h.

References pcl::Filter< PointT >::filter_name_, and pcl::GridMinimum< PointT >::setResolution().

~GridMinimum()

template<typename PointT >
pcl::GridMinimum< PointT >::~GridMinimum ( )
inline

Destructor.

Definition at line 80 of file grid_minimum.h.

Member Function Documentation

applyFilter() [1/2]

template<typename PointT >
void pcl::GridMinimum< 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 116 of file grid_minimum.h.

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

applyFilter() [2/2]

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

Downsample a Point Cloud using a 2D grid approach.

Parameters
[out] output the resultant point cloud message

Reimplemented from pcl::FilterIndices< PointT >.

Definition at line 61 of file grid_minimum.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::GridMinimum< PointT >::applyFilterIndices ( Indices & indices )
protected

Filtered results are indexed by an indices array.

Parameters
[out] indices The resultant indices.

Definition at line 81 of file grid_minimum.hpp.

References pcl::isXYZFinite().

Referenced by pcl::GridMinimum< PointT >::applyFilter().

getResolution()

template<typename PointT >
float pcl::GridMinimum< PointT >::getResolution ( )
inline

Get the grid resolution.

Definition at line 97 of file grid_minimum.h.

References pcl::GridMinimum< PointT >::resolution_.

setResolution()

template<typename PointT >
void pcl::GridMinimum< PointT >::setResolution ( const float resolution )
inline

Set the grid resolution.

Parameters
[in] resolution the grid resolution

Definition at line 88 of file grid_minimum.h.

References pcl::GridMinimum< PointT >::inverse_resolution_, and pcl::GridMinimum< PointT >::resolution_.

Referenced by pcl::GridMinimum< PointT >::GridMinimum().

Member Data Documentation

inverse_resolution_

template<typename PointT >
float pcl::GridMinimum< PointT >::inverse_resolution_
protected

Internal resolution stored as 1/resolution_ for efficiency reasons.

Definition at line 104 of file grid_minimum.h.

Referenced by pcl::GridMinimum< PointT >::setResolution().

resolution_

template<typename PointT >
float pcl::GridMinimum< PointT >::resolution_
protected

The resolution.

Definition at line 101 of file grid_minimum.h.

Referenced by pcl::GridMinimum< PointT >::getResolution(), and pcl::GridMinimum< PointT >::setResolution().


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_grid_minimum.html