Class for extracting interest regions from unstructured point clouds, based on a multi scale statistical approach. More...

#include <pcl/features/statistical_multiscale_interest_region_extraction.h>

Inheritance diagram for pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >:

Collaboration diagram for pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >:

Public Types
using	IndicesPtr = shared_ptr< pcl::Indices >

using	Ptr = shared_ptr< StatisticalMultiscaleInterestRegionExtraction< PointT > >

using	ConstPtr = shared_ptr< const StatisticalMultiscaleInterestRegionExtraction< PointT > >

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

Public Member Functions
	StatisticalMultiscaleInterestRegionExtraction ()=default
	Empty constructor. More...

void	generateCloudGraph ()
	Method that generates the underlying nearest neighbor graph based on the input point cloud. More...

void	computeRegionsOfInterest (std::list< IndicesPtr > &rois)
	The method to be called in order to run the algorithm and produce the resulting set of regions of interest. More...

void	setScalesVector (std::vector< float > &scale_values)
	Method for setting the scale parameters for the algorithm. More...

std::vector< float >	getScalesVector ()
	Method for getting the scale parameters vector. 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...

PointCloudConstPtr const	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...

IndicesConstPtr const	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...

Additional Inherited Members
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 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::StatisticalMultiscaleInterestRegionExtraction< PointT >

Class for extracting interest regions from unstructured point clouds, based on a multi scale statistical approach.

Please refer to the following publications for more details: Ranjith Unnikrishnan and Martial Hebert Multi-Scale Interest Regions from Unorganized Point Clouds Workshop on Search in 3D (S3D), IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) June, 2008

Statistical Approaches to Multi-scale Point Cloud Processing Ranjith Unnikrishnan PhD Thesis The Robotics Institute Carnegie Mellon University May, 2008