Point Cloud Library (PCL)  1.8.1-dev
List of all members | Public Types | Public Member Functions | Protected Member Functions
pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT > Class Template Reference

Keypoint detector for detecting corners in 3D (XYZ), 2D (intensity) AND mixed versions of these. More...

#include <pcl/keypoints/harris_6d.h>

+ Inheritance diagram for pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >:

Public Types

typedef boost::shared_ptr
< HarrisKeypoint6D< PointInT,
PointOutT, NormalT > > 
Ptr
 
typedef boost::shared_ptr
< const HarrisKeypoint6D
< PointInT, PointOutT, NormalT > > 
ConstPtr
 
typedef Keypoint< PointInT,
PointOutT >::PointCloudIn 
PointCloudIn
 
typedef Keypoint< PointInT,
PointOutT >::PointCloudOut 
PointCloudOut
 
typedef Keypoint< PointInT,
PointOutT >::KdTree 
KdTree
 
typedef PointCloudIn::ConstPtr PointCloudInConstPtr
 
- Public Types inherited from pcl::Keypoint< PointInT, PointOutT >
typedef boost::shared_ptr
< Keypoint< PointInT,
PointOutT > > 
Ptr
 
typedef boost::shared_ptr
< const Keypoint< PointInT,
PointOutT > > 
ConstPtr
 
typedef PCLBase< PointInT > BaseClass
 
typedef pcl::search::Search
< PointInT > 
KdTree
 
typedef pcl::search::Search
< PointInT >::Ptr 
KdTreePtr
 
typedef pcl::PointCloud< PointInT > PointCloudIn
 
typedef PointCloudIn::Ptr PointCloudInPtr
 
typedef PointCloudIn::ConstPtr PointCloudInConstPtr
 
typedef pcl::PointCloud
< PointOutT > 
PointCloudOut
 
typedef boost::function< int(int,
double, std::vector< int >
&, std::vector< float > &)> 
SearchMethod
 
typedef boost::function< int(const
PointCloudIn &cloud, int index,
double, std::vector< int >
&, std::vector< float > &)> 
SearchMethodSurface
 
- Public Types inherited from pcl::PCLBase< PointInT >
typedef pcl::PointCloud< PointInT > PointCloud
 
typedef PointCloud::Ptr PointCloudPtr
 
typedef PointCloud::ConstPtr PointCloudConstPtr
 
typedef boost::shared_ptr
< PointIndices
PointIndicesPtr
 
typedef boost::shared_ptr
< PointIndices const > 
PointIndicesConstPtr
 

Public Member Functions

 HarrisKeypoint6D (float radius=0.01, float threshold=0.0)
 Constructor. More...
 
virtual ~HarrisKeypoint6D ()
 Empty destructor. More...
 
void setRadius (float radius)
 set the radius for normal estimation and non maxima supression. More...
 
void setThreshold (float threshold)
 set the threshold value for detecting corners. More...
 
void setNonMaxSupression (bool=false)
 whether non maxima suppression should be applied or the response for each point should be returned More...
 
void setRefine (bool do_refine)
 whether the detected key points should be refined or not. More...
 
virtual void setSearchSurface (const PointCloudInConstPtr &cloud)
 Provide a pointer to the input dataset that we need to estimate features at every point for. More...
 
void setNumberOfThreads (unsigned int nr_threads=0)
 Initialize the scheduler and set the number of threads to use. More...
 
- Public Member Functions inherited from pcl::Keypoint< PointInT, PointOutT >
 Keypoint ()
 
void harrisCorner (ImageType &output, ImageType &input, const float sigma_d, const float sigma_i, const float alpha, const float thresh)
 
void hessianBlob (ImageType &output, ImageType &input, const float sigma, bool SCALE)
 
void hessianBlob (ImageType &output, ImageType &input, const float start_scale, const float scaling_factor, const int num_scales)
 
void imageElementMultiply (ImageType &output, ImageType &input1, ImageType &input2)
 
 Keypoint ()
 Empty constructor. More...
 
virtual ~Keypoint ()
 Empty destructor. More...
 
PointCloudInConstPtr getSearchSurface ()
 Get a pointer to the surface point cloud dataset. More...
 
void setSearchMethod (const KdTreePtr &tree)
 Provide a pointer to the search object. More...
 
KdTreePtr getSearchMethod ()
 Get a pointer to the search method used. More...
 
double getSearchParameter ()
 Get the internal search parameter. More...
 
void setKSearch (int k)
 Set the number of k nearest neighbors to use for the feature estimation. More...
 
int getKSearch ()
 get the number of k nearest neighbors used for the feature estimation. More...
 
void setRadiusSearch (double radius)
 Set the sphere radius that is to be used for determining the nearest neighbors used for the key point detection. More...
 
double getRadiusSearch ()
 Get the sphere radius used for determining the neighbors. More...
 
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 () More...
 
int searchForNeighbors (int index, double parameter, std::vector< int > &indices, std::vector< float > &distances) const
 Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
 
- Public Member Functions inherited from pcl::PCLBase< PointInT >
 PCLBase ()
 Empty constructor. More...
 
 PCLBase (const PCLBase &base)
 Copy constructor. More...
 
virtual ~PCLBase ()
 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 (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols)
 Set the indices for the points laying within an interest region of the point cloud. More...
 
IndicesPtr const 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 PointInT & operator[] (size_t pos) const
 Override PointCloud operator[] to shorten code. More...
 

Protected Member Functions

void detectKeypoints (PointCloudOut &output)
 Abstract key point detection method. More...
 
void responseTomasi (PointCloudOut &output) const
 
void refineCorners (PointCloudOut &corners) const
 
void calculateCombinedCovar (const std::vector< int > &neighbors, float *coefficients) const
 
- Protected Member Functions inherited from pcl::Keypoint< PointInT, PointOutT >
virtual bool initCompute ()
 
const std::string & getClassName () const
 Get a string representation of the name of this class. More...
 
- Protected Member Functions inherited from pcl::PCLBase< PointInT >
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

- Protected Attributes inherited from pcl::Keypoint< PointInT, PointOutT >
std::string name_
 The key point detection method's name. More...
 
SearchMethod search_method_
 The search method template for indices. More...
 
SearchMethodSurface search_method_surface_
 The search method template for points. More...
 
PointCloudInConstPtr surface_
 An input point cloud describing the surface that is to be used for nearest neighbors estimation. More...
 
KdTreePtr tree_
 A pointer to the spatial search object. More...
 
double search_parameter_
 The actual search parameter (casted from either search_radius_ or k_). More...
 
double search_radius_
 The nearest neighbors search radius for each point. More...
 
int k_
 The number of K nearest neighbors to use for each point. More...
 
pcl::PointIndicesPtr keypoints_indices_
 Indices of the keypoints in the input cloud. More...
 
- Protected Attributes inherited from pcl::PCLBase< PointInT >
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 PointInT, typename PointOutT, typename NormalT = pcl::Normal>
class pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >

Keypoint detector for detecting corners in 3D (XYZ), 2D (intensity) AND mixed versions of these.

Author
Suat Gedikli

Definition at line 50 of file harris_6d.h.

Member Typedef Documentation

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
typedef boost::shared_ptr<const HarrisKeypoint6D<PointInT, PointOutT, NormalT> > pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::ConstPtr

Definition at line 54 of file harris_6d.h.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
typedef Keypoint<PointInT, PointOutT>::KdTree pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::KdTree

Definition at line 58 of file harris_6d.h.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
typedef Keypoint<PointInT, PointOutT>::PointCloudIn pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::PointCloudIn

Definition at line 56 of file harris_6d.h.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
typedef PointCloudIn::ConstPtr pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::PointCloudInConstPtr

Definition at line 59 of file harris_6d.h.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
typedef Keypoint<PointInT, PointOutT>::PointCloudOut pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::PointCloudOut

Definition at line 57 of file harris_6d.h.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
typedef boost::shared_ptr<HarrisKeypoint6D<PointInT, PointOutT, NormalT> > pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::Ptr

Definition at line 53 of file harris_6d.h.

Constructor & Destructor Documentation

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::HarrisKeypoint6D ( float  radius = 0.01,
float  threshold = 0.0 
)
inline

Constructor.

Parameters
radiusthe radius for normal estimation as well as for non maxima suppression
thresholdthe threshold to filter out weak corners

Definition at line 76 of file harris_6d.h.

References pcl::Keypoint< PointInT, PointOutT >::name_, and pcl::Keypoint< PointInT, PointOutT >::search_radius_.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
virtual pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::~HarrisKeypoint6D ( )
inlinevirtual

Empty destructor.

Definition at line 89 of file harris_6d.h.

Member Function Documentation

template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::calculateCombinedCovar ( const std::vector< int > &  neighbors,
float *  coefficients 
) const
protected

Definition at line 76 of file harris_6d.hpp.

template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints ( PointCloudOut output)
protectedvirtual
template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::refineCorners ( PointCloudOut corners) const
protected
template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::responseTomasi ( PointCloudOut output) const
protected
template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setNonMaxSupression ( bool  nonmax = false)

whether non maxima suppression should be applied or the response for each point should be returned

Note
this value needs to be turned on in order to apply thresholding and refinement
Parameters
nonmaxdefault is false

Definition at line 69 of file harris_6d.hpp.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setNumberOfThreads ( unsigned int  nr_threads = 0)
inline

Initialize the scheduler and set the number of threads to use.

Parameters
nr_threadsthe number of hardware threads to use (0 sets the value back to automatic)

Definition at line 125 of file harris_6d.h.

template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setRadius ( float  radius)

set the radius for normal estimation and non maxima supression.

Parameters
radius

Definition at line 57 of file harris_6d.hpp.

template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setRefine ( bool  do_refine)

whether the detected key points should be refined or not.

If turned of, the key points are a subset of the original point cloud. Otherwise the key points may be arbitrary. note non maxima supression needs to be on in order to use this feature.

Parameters
do_refine

Definition at line 63 of file harris_6d.hpp.

template<typename PointInT , typename PointOutT , typename NormalT = pcl::Normal>
virtual void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setSearchSurface ( const PointCloudInConstPtr cloud)
inlinevirtual

Provide a pointer to the input dataset that we need to estimate features at every point for.

Parameters
cloudthe const boost shared pointer to a PointCloud message

Reimplemented from pcl::Keypoint< PointInT, PointOutT >.

Definition at line 119 of file harris_6d.h.

References pcl::Keypoint< PointInT, PointOutT >::surface_.

template<typename PointInT , typename PointOutT , typename NormalT >
void pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::setThreshold ( float  threshold)

set the threshold value for detecting corners.

This is only evaluated if non maxima suppression is turned on. note non maxima suppression needs to be activated in order to use this feature.

Parameters
threshold

Definition at line 51 of file harris_6d.hpp.


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