TrajkovicKeypoint3D implements Trajkovic and Hedley corner detector on point cloud using geometric information. More...
#include <pcl/keypoints/trajkovic_3d.h>
Public Types | |
enum | ComputationMethod { FOUR_CORNERS, EIGHT_CORNERS } |
using | Ptr = shared_ptr< TrajkovicKeypoint3D< PointInT, PointOutT, NormalT > > |
using | ConstPtr = shared_ptr< const TrajkovicKeypoint3D< PointInT, PointOutT, NormalT > > |
using | PointCloudIn = typename Keypoint< PointInT, PointOutT >::PointCloudIn |
using | PointCloudOut = typename Keypoint< PointInT, PointOutT >::PointCloudOut |
using | PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
using | Normals = pcl::PointCloud< NormalT > |
using | NormalsPtr = typename Normals::Ptr |
using | NormalsConstPtr = typename Normals::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 Member Functions | |
TrajkovicKeypoint3D (ComputationMethod method=FOUR_CORNERS, int window_size=3, float first_threshold=0.00046, float second_threshold=0.03589) | |
Constructor. More... |
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void | setMethod (ComputationMethod method) |
set the method of the response to be calculated. More... |
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ComputationMethod | getMethod () const |
void | setWindowSize (int window_size) |
Set window size. More... |
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int | getWindowSize () const |
void | setFirstThreshold (float threshold) |
set the first_threshold to reject corners in the simple cornerness computation stage. More... |
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float | getFirstThreshold () const |
void | setSecondThreshold (float threshold) |
set the second threshold to reject corners in the final cornerness computation stage. More... |
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float | getSecondThreshold () const |
void | setNormals (const NormalsConstPtr &normals) |
Set normals if precalculated normals are available. More... |
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void | getNormals () const |
void | setNumberOfThreads (unsigned int nr_threads=0) |
Initialize the scheduler and set the number of threads to use. More... |
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unsigned int | getNumberOfThreads () const |
Public Member Functions inherited from pcl::Keypoint< PointInT, PointOutT > | |
Keypoint () | |
Keypoint () | |
Empty constructor. More... |
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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 () | |
Empty destructor. More... |
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virtual void | setSearchSurface (const PointCloudInConstPtr &cloud) |
Provide a pointer to the input dataset that we need to estimate features at every point for. More... |
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PointCloudInConstPtr | getSearchSurface () |
Get a pointer to the surface point cloud dataset. More... |
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void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. More... |
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KdTreePtr | getSearchMethod () |
Get a pointer to the search method used. More... |
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double | getSearchParameter () |
Get the internal search parameter. More... |
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void | setKSearch (int k) |
Set the number of k nearest neighbors to use for the feature estimation. More... |
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int | getKSearch () |
get the number of k nearest neighbors used for the feature estimation. More... |
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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... |
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double | getRadiusSearch () |
Get the sphere radius used for determining the neighbors. More... |
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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... |
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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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Protected Member Functions | |
bool | initCompute () override |
void | detectKeypoints (PointCloudOut &output) override |
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... |
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virtual void | detectKeypoints (PointCloudOut &output)=0 |
Abstract key point detection method. More... |
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Additional Inherited Members | |
Protected Attributes inherited from pcl::Keypoint< PointInT, PointOutT > | |
std::string | name_ |
The key point detection method's name. More... |
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SearchMethod | search_method_ |
The search method template for indices. More... |
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SearchMethodSurface | search_method_surface_ |
The search method template for points. More... |
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PointCloudInConstPtr | surface_ |
An input point cloud describing the surface that is to be used for nearest neighbors estimation. More... |
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KdTreePtr | tree_ |
A pointer to the spatial search object. More... |
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double | search_parameter_ |
The actual search parameter (casted from either search_radius_ or k_). More... |
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double | search_radius_ |
The nearest neighbors search radius for each point. More... |
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int | k_ |
The number of K nearest neighbors to use for each point. More... |
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pcl::PointIndicesPtr | keypoints_indices_ |
Indices of the keypoints in the input cloud. More... |
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TrajkovicKeypoint3D implements Trajkovic and Hedley corner detector on point cloud using geometric information.
It uses first order statistics to find variation of normals. This work is part of Nizar Sallem PhD thesis.
Definition at line 54 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::ConstPtr = shared_ptr<const TrajkovicKeypoint3D<PointInT, PointOutT, NormalT> > |
Definition at line 58 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::Normals = pcl::PointCloud<NormalT> |
Definition at line 62 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::NormalsConstPtr = typename Normals::ConstPtr |
Definition at line 64 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::NormalsPtr = typename Normals::Ptr |
Definition at line 63 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::PointCloudIn = typename Keypoint<PointInT, PointOutT>::PointCloudIn |
Definition at line 59 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
Definition at line 61 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::PointCloudOut = typename Keypoint<PointInT, PointOutT>::PointCloudOut |
Definition at line 60 of file trajkovic_3d.h.
using pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::Ptr = shared_ptr<TrajkovicKeypoint3D<PointInT, PointOutT, NormalT> > |
Definition at line 57 of file trajkovic_3d.h.
enum pcl::TrajkovicKeypoint3D::ComputationMethod |
Enumerator | |
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FOUR_CORNERS | |
EIGHT_CORNERS |
Definition at line 72 of file trajkovic_3d.h.
| inline |
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 80 of file trajkovic_3d.h.
References pcl::Keypoint< PointInT, PointOutT >::name_.
| overrideprotected |
Definition at line 98 of file trajkovic_3d.hpp.
References pcl::B, and pcl::isFinite().
| inline |
Definition at line 120 of file trajkovic_3d.h.
| inline |
Definition at line 101 of file trajkovic_3d.h.
| inline |
Definition at line 141 of file trajkovic_3d.h.
| inline |
Definition at line 151 of file trajkovic_3d.h.
| inline |
Definition at line 131 of file trajkovic_3d.h.
| inline |
Definition at line 109 of file trajkovic_3d.h.
| overrideprotectedvirtual |
Reimplemented from pcl::Keypoint< PointInT, PointOutT >.
Definition at line 48 of file trajkovic_3d.hpp.
References pcl::Feature< PointInT, PointOutT >::compute(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::setInputCloud(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::setNormalEstimationMethod(), and pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::setNormalSmoothingSize().
| inline |
set the first_threshold to reject corners in the simple cornerness computation stage.
[in] | threshold |
Definition at line 116 of file trajkovic_3d.h.
| inline |
set the method of the response to be calculated.
[in] | method | either 4 corners or 8 corners |
Definition at line 97 of file trajkovic_3d.h.
| inline |
Set normals if precalculated normals are available.
normals |
Definition at line 137 of file trajkovic_3d.h.
| inline |
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 147 of file trajkovic_3d.h.
| inline |
set the second threshold to reject corners in the final cornerness computation stage.
[in] | threshold |
Definition at line 127 of file trajkovic_3d.h.
| inline |
Set window size.
Definition at line 105 of file trajkovic_3d.h.
© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/classpcl_1_1_trajkovic_keypoint3_d.html