Point Cloud Library (PCL)
1.14.1-dev
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HarrisKeypoint2D detects Harris corners family points. More...
#include <pcl/keypoints/harris_2d.h>
Public Types | |
enum | ResponseMethod { HARRIS = 1 , NOBLE , LOWE , TOMASI } |
using | Ptr = shared_ptr< HarrisKeypoint2D< PointInT, PointOutT, IntensityT > > |
using | ConstPtr = shared_ptr< const HarrisKeypoint2D< PointInT, PointOutT, IntensityT > > |
using | PointCloudIn = typename Keypoint< PointInT, PointOutT >::PointCloudIn |
using | PointCloudOut = typename Keypoint< PointInT, PointOutT >::PointCloudOut |
using | KdTree = typename Keypoint< PointInT, PointOutT >::KdTree |
using | PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
Public Types inherited from pcl::Keypoint< PointInT, PointOutT > | |
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 > &)> |
Public Types inherited from pcl::PCLBase< PointInT > | |
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 | |
HarrisKeypoint2D (ResponseMethod method=HARRIS, int window_width=3, int window_height=3, int min_distance=5, float threshold=0.0) | |
Constructor. More... | |
void | setMethod (ResponseMethod type) |
set the method of the response to be calculated. More... | |
void | setWindowWidth (int window_width) |
Set window width. More... | |
void | setWindowHeight (int window_height) |
Set window height. More... | |
void | setSkippedPixels (int skipped_pixels) |
Set number of pixels to skip. More... | |
void | setMinimalDistance (int min_distance) |
Set minimal distance between candidate keypoints. 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... | |
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 ()=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... | |
Public Member Functions inherited from pcl::PCLBase< PointInT > | |
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 |
void | responseHarris (PointCloudOut &output) const |
gets the corner response for valid input points More... | |
void | responseNoble (PointCloudOut &output) const |
void | responseLowe (PointCloudOut &output) const |
void | responseTomasi (PointCloudOut &output) const |
void | computeSecondMomentMatrix (std::size_t pos, float *coefficients) const |
calculates the upper triangular part of unnormalized covariance matrix over intensities given by the 2D coordinates and window_width_ and window_height_ More... | |
Protected Member Functions inherited from pcl::Keypoint< PointInT, PointOutT > | |
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... | |
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... | |
Protected Attributes | |
float | threshold_ |
threshold for non maxima suppression More... | |
bool | refine_ |
corner refinement More... | |
bool | nonmax_ |
non maximas suppression More... | |
ResponseMethod | method_ |
cornerness computation method More... | |
unsigned int | threads_ |
number of threads to be used More... | |
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... | |
HarrisKeypoint2D detects Harris corners family points.
Definition at line 53 of file harris_2d.h.
using pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::ConstPtr = shared_ptr<const HarrisKeypoint2D<PointInT, PointOutT, IntensityT> > |
Definition at line 57 of file harris_2d.h.
using pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::KdTree = typename Keypoint<PointInT, PointOutT>::KdTree |
Definition at line 61 of file harris_2d.h.
using pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::PointCloudIn = typename Keypoint<PointInT, PointOutT>::PointCloudIn |
Definition at line 59 of file harris_2d.h.
using pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
Definition at line 62 of file harris_2d.h.
using pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::PointCloudOut = typename Keypoint<PointInT, PointOutT>::PointCloudOut |
Definition at line 60 of file harris_2d.h.
using pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::Ptr = shared_ptr<HarrisKeypoint2D<PointInT, PointOutT, IntensityT> > |
Definition at line 56 of file harris_2d.h.
enum pcl::HarrisKeypoint2D::ResponseMethod |
Enumerator | |
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HARRIS | |
NOBLE | |
LOWE | |
TOMASI |
Definition at line 69 of file harris_2d.h.
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Constructor.
[in] | method | the method to be used to determine the corner responses |
window_width | ||
window_height | ||
min_distance | ||
[in] | threshold | the threshold to filter out weak corners |
Definition at line 78 of file harris_2d.h.
References pcl::Keypoint< PointInT, PointOutT >::name_.
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calculates the upper triangular part of unnormalized covariance matrix over intensities given by the 2D coordinates and window_width_ and window_height_
Definition at line 106 of file harris_2d.hpp.
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overrideprotected |
!! nsallem 20120220 : we don't test here for density so if one term is nan the result is nan
Definition at line 178 of file harris_2d.hpp.
References pcl::isXYZFinite().
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Reimplemented from pcl::Keypoint< PointInT, PointOutT >.
Definition at line 132 of file harris_2d.hpp.
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gets the corner response for valid input points
Definition at line 305 of file harris_2d.hpp.
References pcl::isXYZFinite().
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Definition at line 397 of file harris_2d.hpp.
References pcl::isXYZFinite().
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Definition at line 351 of file harris_2d.hpp.
References pcl::isXYZFinite().
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Definition at line 443 of file harris_2d.hpp.
References pcl::isXYZFinite().
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setMethod | ( | ResponseMethod | type | ) |
set the method of the response to be calculated.
[in] | type |
Definition at line 50 of file harris_2d.hpp.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setMinimalDistance | ( | int | min_distance | ) |
Set minimal distance between candidate keypoints.
Definition at line 99 of file harris_2d.hpp.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setNonMaxSupression | ( | bool | nonmax = false | ) |
whether non maxima suppression should be applied or the response for each point should be returned
[in] | nonmax | default is false |
Definition at line 71 of file harris_2d.hpp.
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inline |
Initialize the scheduler and set the number of threads to use.
nr_threads | the number of hardware threads to use (0 sets the value back to automatic) |
Definition at line 133 of file harris_2d.h.
References pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::threads_.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::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 suppression needs to be on in order to use this feature.
[in] | do_refine |
Definition at line 64 of file harris_2d.hpp.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setSkippedPixels | ( | int | skipped_pixels | ) |
Set number of pixels to skip.
Definition at line 92 of file harris_2d.hpp.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::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.
[in] | threshold |
Definition at line 57 of file harris_2d.hpp.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setWindowHeight | ( | int | window_height | ) |
Set window height.
Definition at line 85 of file harris_2d.hpp.
void pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setWindowWidth | ( | int | window_width | ) |
Set window width.
Definition at line 78 of file harris_2d.hpp.
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cornerness computation method
Definition at line 163 of file harris_2d.h.
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non maximas suppression
Definition at line 161 of file harris_2d.h.
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corner refinement
Definition at line 159 of file harris_2d.h.
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number of threads to be used
Definition at line 165 of file harris_2d.h.
Referenced by pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::setNumberOfThreads().
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threshold for non maxima suppression
Definition at line 157 of file harris_2d.h.