Based on the paper: Xinju Li and Igor Guskov Multi-scale features for approximate alignment of point-based surfaces Proceedings of the third Eurographics symposium on Geometry processing July 2005, Vienna, Austria. More...

#include <pcl/keypoints/smoothed_surfaces_keypoint.h>

Inheritance diagram for pcl::SmoothedSurfacesKeypoint< PointT, PointNT >:

Collaboration diagram for pcl::SmoothedSurfacesKeypoint< PointT, PointNT >:

Public Types
using	Ptr = shared_ptr<SmoothedSurfacesKeypoint<PointT, PointNT> >
using	ConstPtr = shared_ptr<const SmoothedSurfacesKeypoint<PointT, PointNT> >
using	PointCloudT = pcl::PointCloud<PointT>
using	PointCloudTConstPtr = typename PointCloudT::ConstPtr
using	PointCloudNT = pcl::PointCloud<PointNT>
using	PointCloudNTConstPtr = typename PointCloudNT::ConstPtr
using	PointCloudTPtr = typename PointCloudT::Ptr
using	KdTreePtr = typename Keypoint<PointT, PointT>::KdTreePtr
Public Types inherited from pcl::Keypoint< PointT, PointT >
using	Ptr
using	ConstPtr
using	BaseClass
using	KdTree
using	KdTreePtr
using	PointCloudIn
using	PointCloudInPtr
using	PointCloudInConstPtr
using	PointCloudOut
using	SearchMethod
using	SearchMethodSurface
Public Types inherited from pcl::PCLBase< PointInT >
using	PointCloud
using	PointCloudPtr
using	PointCloudConstPtr
using	PointIndicesPtr
using	PointIndicesConstPtr

Public Member Functions
	SmoothedSurfacesKeypoint ()
void	addSmoothedPointCloud (const PointCloudTConstPtr &cloud, const PointCloudNTConstPtr &normals, KdTreePtr &kdtree, float &scale)
void	resetClouds ()
void	setNeighborhoodConstant (float neighborhood_constant)
float	getNeighborhoodConstant ()
void	setInputNormals (const PointCloudNTConstPtr &normals)
void	setInputScale (float input_scale)
void	detectKeypoints (PointCloudT &output) override
Public Member Functions inherited from pcl::Keypoint< PointT, PointT >
	Keypoint ()=default
void	harrisCorner (PointT &output, PointT &input, const float sigma_d, const float sigma_i, const float alpha, const float thresh)
void	hessianBlob (PointT &output, PointT &input, const float sigma, bool SCALE)
void	imageElementMultiply (PointT &output, PointT &input1, PointT &input2)
	~Keypoint () override=default
	Empty destructor.
virtual void	setSearchSurface (const PointCloudInConstPtr &cloud)
	Provide a pointer to the input dataset that we need to estimate features at every point for.
PointCloudInConstPtr	getSearchSurface ()
	Get a pointer to the surface point cloud dataset.
void	setSearchMethod (const KdTreePtr &tree)
	Provide a pointer to the search object.
KdTreePtr	getSearchMethod ()
	Get a pointer to the search method used.
double	getSearchParameter ()
	Get the internal search parameter.
void	setKSearch (int k)
	Set the number of k nearest neighbors to use for the feature estimation.
int	getKSearch ()
	get the number of k nearest neighbors used for the feature estimation.
void	setRadiusSearch (double radius)
	Set the sphere radius that is to be used for determining the nearest neighbors used for the key point detection.
double	getRadiusSearch ()
	Get the sphere radius used for determining the neighbors.
pcl::PointIndicesConstPtr	getKeypointsIndices ()
void	compute (PointCloudOut &output)
	Base method for key point detection for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()
int	searchForNeighbors (pcl::index_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const
	Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface.
Public Member Functions inherited from pcl::PCLBase< PointInT >
	PCLBase ()
	Empty constructor.
	PCLBase (const PCLBase &base)
	Copy constructor.
virtual	~PCLBase ()=default
	Destructor.
virtual void	setInputCloud (const PointCloudConstPtr &cloud)
	Provide a pointer to the input dataset.
PointCloudConstPtr const	getInputCloud () const
	Get a pointer to the input point cloud dataset.
virtual void	setIndices (const IndicesPtr &indices)
	Provide a pointer to the vector of indices that represents the input data.
virtual void	setIndices (const IndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data.
virtual void	setIndices (const PointIndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data.
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.
IndicesPtr	getIndices ()
	Get a pointer to the vector of indices used.
IndicesConstPtr const	getIndices () const
	Get a pointer to the vector of indices used.
const PointInT &	operator[] (std::size_t pos) const
	Override PointCloud operator[] to shorten code.

Protected Member Functions
bool	initCompute () override
Protected Member Functions inherited from pcl::Keypoint< PointT, PointT >
const std::string &	getClassName () const
	Get a string representation of the name of this class.
virtual void	detectKeypoints (PointCloudOut &output)=0
	Abstract key point detection method.
Protected Member Functions inherited from pcl::PCLBase< PointInT >
bool	initCompute ()
	This method should get called before starting the actual computation.
bool	deinitCompute ()
	This method should get called after finishing the actual computation.

Additional Inherited Members
Protected Attributes inherited from pcl::Keypoint< PointT, PointT >
std::string	name_
	The key point detection method's name.
SearchMethod	search_method_
	The search method template for indices.
SearchMethodSurface	search_method_surface_
	The search method template for points.
PointCloudInConstPtr	surface_
	An input point cloud describing the surface that is to be used for nearest neighbors estimation.
KdTreePtr	tree_
	A pointer to the spatial search object.
double	search_parameter_
	The actual search parameter (casted from either search_radius_ or k_).
double	search_radius_
	The nearest neighbors search radius for each point.
int	k_
	The number of K nearest neighbors to use for each point.
pcl::PointIndicesPtr	keypoints_indices_
	Indices of the keypoints in the input cloud.
Protected Attributes inherited from pcl::PCLBase< PointInT >
PointCloudConstPtr	input_
	The input point cloud dataset.
IndicesPtr	indices_
	A pointer to the vector of point indices to use.
bool	use_indices_
	Set to true if point indices are used.
bool	fake_indices_
	If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud.

Detailed Description

template<typename PointT, typename PointNT>
class pcl::SmoothedSurfacesKeypoint< PointT, PointNT >

Based on the paper: Xinju Li and Igor Guskov Multi-scale features for approximate alignment of point-based surfaces Proceedings of the third Eurographics symposium on Geometry processing July 2005, Vienna, Austria.

Author: Alexandru-Eugen Ichim

Definition at line 54 of file smoothed_surfaces_keypoint.h.

Member Typedef Documentation

◆ ConstPtr

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::ConstPtr = shared_ptr<const SmoothedSurfacesKeypoint<PointT, PointNT> >

Definition at line 58 of file smoothed_surfaces_keypoint.h.

◆ KdTreePtr

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::KdTreePtr = typename Keypoint<PointT, PointT>::KdTreePtr

Definition at line 71 of file smoothed_surfaces_keypoint.h.

◆ PointCloudNT

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudNT = pcl::PointCloud<PointNT>

Definition at line 68 of file smoothed_surfaces_keypoint.h.

◆ PointCloudNTConstPtr

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudNTConstPtr = typename PointCloudNT::ConstPtr

Definition at line 69 of file smoothed_surfaces_keypoint.h.

◆ PointCloudT

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudT = pcl::PointCloud<PointT>

Definition at line 66 of file smoothed_surfaces_keypoint.h.

◆ PointCloudTConstPtr

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudTConstPtr = typename PointCloudT::ConstPtr

Definition at line 67 of file smoothed_surfaces_keypoint.h.

◆ PointCloudTPtr

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::PointCloudTPtr = typename PointCloudT::Ptr

Definition at line 70 of file smoothed_surfaces_keypoint.h.

◆ Ptr

template<typename PointT, typename PointNT>

using pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::Ptr = shared_ptr<SmoothedSurfacesKeypoint<PointT, PointNT> >

Definition at line 57 of file smoothed_surfaces_keypoint.h.

Constructor & Destructor Documentation

◆ SmoothedSurfacesKeypoint()

template<typename PointT, typename PointNT>

pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::SmoothedSurfacesKeypoint ( )

inline

Definition at line 73 of file smoothed_surfaces_keypoint.h.

References pcl::Keypoint< PointT, PointT >::Keypoint(), pcl::Keypoint< PointT, PointT >::name_, and pcl::Keypoint< ImageType >::search_radius_.

Member Function Documentation

◆ addSmoothedPointCloud()

template<typename PointT, typename PointNT>

void pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::addSmoothedPointCloud	(	const PointCloudTConstPtr &	cloud,
		const PointCloudNTConstPtr &	normals,
		KdTreePtr &	kdtree,
		float &	scale )