Point Cloud Library (PCL) 1.15.1-dev
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harris_6d.h
1/*
2 * Software License Agreement (BSD License)
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4 * Copyright (c) 2010, Willow Garage, Inc.
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21 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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33 *
34 * @author Suat Gedikli
35 */
36
37#pragma once
38
39#include <pcl/keypoints/keypoint.h>
40#include <pcl/point_types.h> // for pcl::Normal, pcl::IntensityGradient
41
42namespace pcl
43{
44
45 /** \brief Keypoint detector for detecting corners in 3D (XYZ), 2D (intensity) AND mixed versions of these.
46 * \author Suat Gedikli
47 * \ingroup keypoints
48 */
49 template <typename PointInT, typename PointOutT, typename NormalT = pcl::Normal>
50 class HarrisKeypoint6D : public Keypoint<PointInT, PointOutT>
51 {
52 public:
53 using Ptr = shared_ptr<HarrisKeypoint6D<PointInT, PointOutT, NormalT> >;
54 using ConstPtr = shared_ptr<const HarrisKeypoint6D<PointInT, PointOutT, NormalT> >;
55
59 using PointCloudInConstPtr = typename PointCloudIn::ConstPtr;
60
61 using Keypoint<PointInT, PointOutT>::name_;
62 using Keypoint<PointInT, PointOutT>::input_;
63 using Keypoint<PointInT, PointOutT>::indices_;
64 using Keypoint<PointInT, PointOutT>::surface_;
65 using Keypoint<PointInT, PointOutT>::tree_;
66 using Keypoint<PointInT, PointOutT>::k_;
67 using Keypoint<PointInT, PointOutT>::search_radius_;
68 using Keypoint<PointInT, PointOutT>::search_parameter_;
69 using Keypoint<PointInT, PointOutT>::keypoints_indices_;
70
71 /**
72 * @brief Constructor
73 * @param radius the radius for normal estimation as well as for non maxima suppression
74 * @param threshold the threshold to filter out weak corners
75 */
76 HarrisKeypoint6D (float radius = 0.01, float threshold = 0.0)
77 : threshold_ (threshold)
78 ,
79 normals_ (new pcl::PointCloud<NormalT>)
80 , intensity_gradients_ (new pcl::PointCloud<pcl::IntensityGradient>)
81 {
82 name_ = "HarrisKeypoint6D";
83 search_radius_ = radius;
84 }
85
86 /** \brief Empty destructor */
87 virtual ~HarrisKeypoint6D () = default;
88
89 /**
90 * @brief set the radius for normal estimation and non maxima suppression.
91 * @param radius
92 */
93 void setRadius (float radius);
94
95 /**
96 * @brief set the threshold value for detecting corners. This is only evaluated if non maxima suppression is turned on.
97 * @brief note non maxima suppression needs to be activated in order to use this feature.
98 * @param threshold
99 */
100 void setThreshold (float threshold);
101
102 /**
103 * @brief whether non maxima suppression should be applied or the response for each point should be returned
104 * @note this value needs to be turned on in order to apply thresholding and refinement
105 * @param nonmax default is false
106 */
107 void setNonMaxSupression (bool = false);
108
109 /**
110 * @brief 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.
111 * @brief note non maxima suppression needs to be on in order to use this feature.
112 * @param do_refine
113 */
114 void setRefine (bool do_refine);
115
116 virtual void
117 setSearchSurface (const PointCloudInConstPtr &cloud) { surface_ = cloud; normals_->clear (); intensity_gradients_->clear ();}
118
119 /** \brief Initialize the scheduler and set the number of threads to use.
120 * \param nr_threads the number of hardware threads to use (0 sets the value back to automatic)
121 */
122 inline void
123 setNumberOfThreads (unsigned int nr_threads = 0) { threads_ = nr_threads; }
124 protected:
125 void detectKeypoints (PointCloudOut &output);
126 void responseTomasi (PointCloudOut &output) const;
127 void refineCorners (PointCloudOut &corners) const;
128 void calculateCombinedCovar (const pcl::Indices& neighbors, float* coefficients) const;
129 private:
130 float threshold_;
131 bool refine_{true};
132 bool nonmax_{true};
133 unsigned int threads_{0};
134 typename pcl::PointCloud<NormalT>::Ptr normals_;
136 } ;
137}
138
139#include <pcl/keypoints/impl/harris_6d.hpp>
Keypoint detector for detecting corners in 3D (XYZ), 2D (intensity) AND mixed versions of these.
Definition harris_6d.h:51
typename Keypoint< PointInT, PointOutT >::PointCloudIn PointCloudIn
Definition harris_6d.h:56
void setNonMaxSupression(bool=false)
whether non maxima suppression should be applied or the response for each point should be returned
Definition harris_6d.hpp:69
shared_ptr< const HarrisKeypoint6D< PointInT, PointOutT, NormalT > > ConstPtr
Definition harris_6d.h:54
void setThreshold(float threshold)
set the threshold value for detecting corners.
Definition harris_6d.hpp:51
void setRefine(bool do_refine)
whether the detected key points should be refined or not.
Definition harris_6d.hpp:63
void setRadius(float radius)
set the radius for normal estimation and non maxima suppression.
Definition harris_6d.hpp:57
void responseTomasi(PointCloudOut &output) const
void setNumberOfThreads(unsigned int nr_threads=0)
Initialize the scheduler and set the number of threads to use.
Definition harris_6d.h:123
typename PointCloudIn::ConstPtr PointCloudInConstPtr
Definition harris_6d.h:59
void detectKeypoints(PointCloudOut &output)
typename Keypoint< PointInT, PointOutT >::PointCloudOut PointCloudOut
Definition harris_6d.h:57
void refineCorners(PointCloudOut &corners) const
typename Keypoint< PointInT, PointOutT >::KdTree KdTree
Definition harris_6d.h:58
shared_ptr< HarrisKeypoint6D< PointInT, PointOutT, NormalT > > Ptr
Definition harris_6d.h:53
virtual ~HarrisKeypoint6D()=default
Empty destructor.
HarrisKeypoint6D(float radius=0.01, float threshold=0.0)
Constructor.
Definition harris_6d.h:76
virtual void setSearchSurface(const PointCloudInConstPtr &cloud)
Definition harris_6d.h:117
void calculateCombinedCovar(const pcl::Indices &neighbors, float *coefficients) const
Definition harris_6d.hpp:76
Keypoint represents the base class for key points.
Definition keypoint.h:49
int k_
The number of K nearest neighbors to use for each point.
Definition keypoint.h:188
std::string name_
The key point detection method's name.
Definition keypoint.h:167
double search_parameter_
The actual search parameter (casted from either search_radius_ or k_).
Definition keypoint.h:182
pcl::PointIndicesPtr keypoints_indices_
Indices of the keypoints in the input cloud.
Definition keypoint.h:191
KdTreePtr tree_
A pointer to the spatial search object.
Definition keypoint.h:179
PointCloudInConstPtr surface_
An input point cloud describing the surface that is to be used for nearest neighbors estimation.
Definition keypoint.h:176
double search_radius_
The nearest neighbors search radius for each point.
Definition keypoint.h:185
PointCloudConstPtr input_
The input point cloud dataset.
Definition pcl_base.h:147
IndicesPtr indices_
A pointer to the vector of point indices to use.
Definition pcl_base.h:150
void clear()
Removes all points in a cloud and sets the width and height to 0.
shared_ptr< PointCloud< PointT > > Ptr
Defines all the PCL implemented PointT point type structures.
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition types.h:133
A point structure representing the intensity gradient of an XYZI point cloud.
A point structure representing normal coordinates and the surface curvature estimate.