Point Cloud Library (PCL)
1.15.0-dev
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TrajkovicKeypoint2D implements Trajkovic and Hedley corner detector on organized point cloud using intensity information. More...
#include <pcl/keypoints/trajkovic_2d.h>
Public Types | |
enum | ComputationMethod { FOUR_CORNERS , EIGHT_CORNERS } |
using | Ptr = shared_ptr< TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT > > |
using | ConstPtr = shared_ptr< const TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT > > |
using | PointCloudIn = typename Keypoint< PointInT, PointOutT >::PointCloudIn |
using | PointCloudOut = typename Keypoint< PointInT, PointOutT >::PointCloudOut |
using | PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
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using | Ptr = shared_ptr< Keypoint< PointInT, PointOutT > > |
using | ConstPtr = shared_ptr< const Keypoint< PointInT, PointOutT > > |
using | BaseClass = PCLBase< PointInT > |
using | KdTree = pcl::search::Search< PointInT > |
using | KdTreePtr = typename KdTree::Ptr |
using | PointCloudIn = pcl::PointCloud< PointInT > |
using | PointCloudInPtr = typename PointCloudIn::Ptr |
using | PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
using | PointCloudOut = pcl::PointCloud< PointOutT > |
using | SearchMethod = std::function< int(pcl::index_t, double, pcl::Indices &, std::vector< float > &)> |
using | SearchMethodSurface = std::function< int(const PointCloudIn &cloud, pcl::index_t index, double, pcl::Indices &, std::vector< float > &)> |
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using | PointCloud = pcl::PointCloud< PointInT > |
using | PointCloudPtr = typename PointCloud::Ptr |
using | PointCloudConstPtr = typename PointCloud::ConstPtr |
using | PointIndicesPtr = PointIndices::Ptr |
using | PointIndicesConstPtr = PointIndices::ConstPtr |
Public Member Functions | |
TrajkovicKeypoint2D (ComputationMethod method=FOUR_CORNERS, int window_size=3, float first_threshold=0.1, float second_threshold=100.0) | |
Constructor. More... | |
void | setMethod (ComputationMethod method) |
set the method of the response to be calculated. More... | |
ComputationMethod | getMethod () const |
void | setWindowSize (int window_size) |
Set window size. More... | |
int | getWindowSize () const |
void | setFirstThreshold (float threshold) |
set the first_threshold to reject corners in the simple cornerness computation stage. More... | |
float | getFirstThreshold () const |
void | setSecondThreshold (float threshold) |
set the second threshold to reject corners in the final cornerness computation stage. More... | |
float | getSecondThreshold () const |
void | setNumberOfThreads (unsigned int nr_threads=0) |
Initialize the scheduler and set the number of threads to use. More... | |
unsigned int | getNumberOfThreads () const |
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Keypoint ()=default | |
Keypoint () | |
Empty constructor. More... | |
void | harrisCorner (PointInT &output, PointInT &input, const float sigma_d, const float sigma_i, const float alpha, const float thresh) |
void | hessianBlob (PointInT &output, PointInT &input, const float sigma, bool SCALE) |
void | hessianBlob (PointInT &output, PointInT &input, const float start_scale, const float scaling_factor, const int num_scales) |
void | imageElementMultiply (PointInT &output, PointInT &input1, PointInT &input2) |
~Keypoint () override=default | |
Empty destructor. 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... | |
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 (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. More... | |
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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 PointInT & | operator[] (std::size_t pos) const |
Override PointCloud operator[] to shorten code. More... | |
Protected Member Functions | |
bool | initCompute () override |
void | detectKeypoints (PointCloudOut &output) override |
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const std::string & | getClassName () const |
Get a string representation of the name of this class. More... | |
virtual void | detectKeypoints (PointCloudOut &output)=0 |
Abstract key point detection method. More... | |
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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 | |
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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... | |
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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... | |
TrajkovicKeypoint2D implements Trajkovic and Hedley corner detector on organized point cloud using intensity information.
It uses first order statistics to find variation of intensities in horizontal or vertical directions.
Definition at line 54 of file trajkovic_2d.h.
using pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::ConstPtr = shared_ptr<const TrajkovicKeypoint2D<PointInT, PointOutT, IntensityT> > |
Definition at line 58 of file trajkovic_2d.h.
using pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::PointCloudIn = typename Keypoint<PointInT, PointOutT>::PointCloudIn |
Definition at line 59 of file trajkovic_2d.h.
using pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
Definition at line 61 of file trajkovic_2d.h.
using pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::PointCloudOut = typename Keypoint<PointInT, PointOutT>::PointCloudOut |
Definition at line 60 of file trajkovic_2d.h.
using pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::Ptr = shared_ptr<TrajkovicKeypoint2D<PointInT, PointOutT, IntensityT> > |
Definition at line 57 of file trajkovic_2d.h.
enum pcl::TrajkovicKeypoint2D::ComputationMethod |
Enumerator | |
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FOUR_CORNERS | |
EIGHT_CORNERS |
Definition at line 68 of file trajkovic_2d.h.
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Constructor.
[in] | method | the method to be used to determine the corner responses |
[in] | window_size | |
[in] | first_threshold | the threshold used in the simple cornerness test. |
[in] | second_threshold | the threshold used to reject weak corners. |
Definition at line 76 of file trajkovic_2d.h.
References pcl::Keypoint< PointInT, PointOutT >::name_.
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Definition at line 86 of file trajkovic_2d.hpp.
References pcl::B.
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Definition at line 115 of file trajkovic_2d.h.
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Definition at line 96 of file trajkovic_2d.h.
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Definition at line 136 of file trajkovic_2d.h.
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Definition at line 126 of file trajkovic_2d.h.
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Definition at line 104 of file trajkovic_2d.h.
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overrideprotectedvirtual |
Reimplemented from pcl::Keypoint< PointInT, PointOutT >.
Definition at line 47 of file trajkovic_2d.hpp.
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set the first_threshold to reject corners in the simple cornerness computation stage.
[in] | threshold |
Definition at line 111 of file trajkovic_2d.h.
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set the method of the response to be calculated.
[in] | method | either 4 corners or 8 corners |
Definition at line 92 of file trajkovic_2d.h.
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Initialize the scheduler and set the number of threads to use.
nr_threads | the number of hardware threads to use, 0 for automatic. |
Definition at line 132 of file trajkovic_2d.h.
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set the second threshold to reject corners in the final cornerness computation stage.
[in] | threshold |
Definition at line 122 of file trajkovic_2d.h.
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Set window size.
Definition at line 100 of file trajkovic_2d.h.