Point Cloud Library (PCL) 1.15.1-dev
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boundary.h
1/*
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4 * Point Cloud Library (PCL) - www.pointclouds.org
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40
41#pragma once
42
43#include <pcl/features/feature.h>
44
45#include <Eigen/Core>
46
47namespace pcl
48{
49 /** \brief BoundaryEstimation estimates whether a set of points is lying on surface boundaries using an angle
50 * criterion. The code makes use of the estimated surface normals at each point in the input dataset.
51 *
52 * Here's an example for estimating boundary points for a PointXYZ point cloud:
53 * \code
54 * pcl::PointCloud<pcl::PointXYZ>::Ptr cloud (new pcl::PointCloud<pcl::PointXYZ>);
55 * // fill in the cloud data here
56 *
57 * pcl::PointCloud<pcl::Normal>::Ptr normals (new pcl::PointCloud<pcl::Normal>);
58 * // estimate normals and fill in \a normals
59 *
60 * pcl::PointCloud<pcl::Boundary> boundaries;
61 * pcl::BoundaryEstimation<pcl::PointXYZ, pcl::Normal, pcl::Boundary> est;
62 * est.setInputCloud (cloud);
63 * est.setInputNormals (normals);
64 * est.setRadiusSearch (0.02); // 2cm radius
65 * est.setSearchMethod (typename pcl::search::KdTree<PointXYZ>::Ptr (new pcl::search::KdTree<PointXYZ>)
66 * est.compute (boundaries);
67 * \endcode
68 *
69 * \attention
70 * The convention for Boundary features is:
71 * - if a query point's nearest neighbors cannot be estimated, the boundary feature will be set to NaN
72 * (not a number)
73 * - it is impossible to estimate a boundary property for a point that
74 * doesn't have finite 3D coordinates. Therefore, any point that contains
75 * NaN data on x, y, or z, will have its boundary feature property set to NaN.
76 *
77 * \author Radu B. Rusu
78 * \ingroup features
79 */
80 template <typename PointInT, typename PointNT, typename PointOutT>
81 class BoundaryEstimation: public FeatureFromNormals<PointInT, PointNT, PointOutT>
82 {
83 public:
84 using Ptr = shared_ptr<BoundaryEstimation<PointInT, PointNT, PointOutT> >;
85 using ConstPtr = shared_ptr<const BoundaryEstimation<PointInT, PointNT, PointOutT> >;
86
87 using Feature<PointInT, PointOutT>::feature_name_;
88 using Feature<PointInT, PointOutT>::getClassName;
89 using Feature<PointInT, PointOutT>::input_;
90 using Feature<PointInT, PointOutT>::indices_;
91 using Feature<PointInT, PointOutT>::k_;
92 using Feature<PointInT, PointOutT>::tree_;
93 using Feature<PointInT, PointOutT>::search_radius_;
94 using Feature<PointInT, PointOutT>::search_parameter_;
95 using Feature<PointInT, PointOutT>::surface_;
96 using FeatureFromNormals<PointInT, PointNT, PointOutT>::normals_;
97
99
100 public:
101 /** \brief Empty constructor.
102 * The angular threshold \a angle_threshold_ is set to M_PI / 2.0
103 */
104 BoundaryEstimation () : angle_threshold_ (static_cast<float> (M_PI) / 2.0f)
105 {
106 feature_name_ = "BoundaryEstimation";
107 };
108
109 /** \brief Check whether a point is a boundary point in a planar patch of projected points given by indices.
110 * \note A coordinate system u-v-n must be computed a-priori using \a getCoordinateSystemOnPlane
111 * \param[in] cloud a pointer to the input point cloud
112 * \param[in] q_idx the index of the query point in \a cloud
113 * \param[in] indices the estimated point neighbors of the query point
114 * \param[in] u the u direction
115 * \param[in] v the v direction
116 * \param[in] angle_threshold the threshold angle (default \f$\pi / 2.0\f$)
117 */
118 bool
120 int q_idx, const pcl::Indices &indices,
121 const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold) const;
122
123 /** \brief Check whether a point is a boundary point in a planar patch of projected points given by indices.
124 * \note A coordinate system u-v-n must be computed a-priori using \a getCoordinateSystemOnPlane
125 * \param[in] cloud a pointer to the input point cloud
126 * \param[in] q_point a pointer to the query point
127 * \param[in] indices the estimated point neighbors of the query point
128 * \param[in] u the u direction
129 * \param[in] v the v direction
130 * \param[in] angle_threshold the threshold angle (default \f$\pi / 2.0\f$)
131 */
132 bool
134 const PointInT &q_point,
135 const pcl::Indices &indices,
136 const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold) const;
137
138 /** \brief Set the decision boundary (angle threshold) that marks points as boundary or regular.
139 * (default \f$\pi / 2.0\f$)
140 * \param[in] angle the angle threshold
141 */
142 inline void
143 setAngleThreshold (float angle)
144 {
145 angle_threshold_ = angle;
146 }
147
148 /** \brief Get the decision boundary (angle threshold) as set by the user. */
149 inline float
151 {
152 return (angle_threshold_);
153 }
154
155 /** \brief Get a u-v-n coordinate system that lies on a plane defined by its normal
156 * \param[in] p_coeff the plane coefficients (containing the plane normal)
157 * \param[out] u the resultant u direction
158 * \param[out] v the resultant v direction
159 */
160 inline void
161 getCoordinateSystemOnPlane (const PointNT &p_coeff,
162 Eigen::Vector4f &u, Eigen::Vector4f &v) const
163 {
164 const Eigen::Map<const Eigen::Vector4f, Eigen::Aligned> p_coeff_v =
165 p_coeff.getNormalVector4fMap ();
166 v = p_coeff_v.unitOrthogonal ();
167 u = p_coeff_v.cross3 (v);
168 }
169
170 /** \brief Initialize the scheduler and set the number of threads to use.
171 * \param nr_threads the number of hardware threads to use (0 sets the value back
172 * to automatic)
173 */
174 void
175 setNumberOfThreads(unsigned int nr_threads = 0);
176
177 protected:
178 /** \brief The number of threads the scheduler should use. */
179 unsigned int threads_{1};
180
181 /** \brief Chunk size for (dynamic) scheduling. */
182 int chunk_size_{256};
183
184 /** \brief Estimate whether a set of points is lying on surface boundaries using an angle criterion for all points
185 * given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in
186 * setSearchMethod ()
187 * \param[out] output the resultant point cloud model dataset that contains boundary point estimates
188 */
189 void
190 computeFeature (PointCloudOut &output) override;
191
192 /** \brief The decision boundary (angle threshold) that marks points as boundary or regular. (default \f$\pi / 2.0\f$) */
194 };
195}
196
197#ifdef PCL_NO_PRECOMPILE
198#include <pcl/features/impl/boundary.hpp>
199#endif
BoundaryEstimation estimates whether a set of points is lying on surface boundaries using an angle cr...
Definition boundary.h:82
shared_ptr< BoundaryEstimation< PointInT, PointNT, PointOutT > > Ptr
Definition boundary.h:84
BoundaryEstimation()
Empty constructor.
Definition boundary.h:104
shared_ptr< const BoundaryEstimation< PointInT, PointNT, PointOutT > > ConstPtr
Definition boundary.h:85
void computeFeature(PointCloudOut &output) override
Estimate whether a set of points is lying on surface boundaries using an angle criterion for all poin...
Definition boundary.hpp:141
unsigned int threads_
The number of threads the scheduler should use.
Definition boundary.h:179
void setAngleThreshold(float angle)
Set the decision boundary (angle threshold) that marks points as boundary or regular.
Definition boundary.h:143
typename Feature< PointInT, PointOutT >::PointCloudOut PointCloudOut
Definition boundary.h:98
void setNumberOfThreads(unsigned int nr_threads=0)
Initialize the scheduler and set the number of threads to use.
Definition boundary.hpp:54
int chunk_size_
Chunk size for (dynamic) scheduling.
Definition boundary.h:182
float getAngleThreshold() const
Get the decision boundary (angle threshold) as set by the user.
Definition boundary.h:150
float angle_threshold_
The decision boundary (angle threshold) that marks points as boundary or regular.
Definition boundary.h:193
bool isBoundaryPoint(const pcl::PointCloud< PointInT > &cloud, int q_idx, const pcl::Indices &indices, const Eigen::Vector4f &u, const Eigen::Vector4f &v, const float angle_threshold) const
Check whether a point is a boundary point in a planar patch of projected points given by indices.
Definition boundary.hpp:76
void getCoordinateSystemOnPlane(const PointNT &p_coeff, Eigen::Vector4f &u, Eigen::Vector4f &v) const
Get a u-v-n coordinate system that lies on a plane defined by its normal.
Definition boundary.h:161
PointCloudNConstPtr normals_
A pointer to the input dataset that contains the point normals of the XYZ dataset.
Definition feature.h:349
Feature represents the base feature class.
Definition feature.h:107
double search_parameter_
The actual search parameter (from either search_radius_ or k_).
Definition feature.h:234
const std::string & getClassName() const
Get a string representation of the name of this class.
Definition feature.h:244
double search_radius_
The nearest neighbors search radius for each point.
Definition feature.h:237
int k_
The number of K nearest neighbors to use for each point.
Definition feature.h:240
std::string feature_name_
The feature name.
Definition feature.h:220
KdTreePtr tree_
A pointer to the spatial search object.
Definition feature.h:231
PointCloudInConstPtr surface_
An input point cloud describing the surface that is to be used for nearest neighbors estimation.
Definition feature.h:228
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
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition types.h:133
#define M_PI
Definition pcl_macros.h:201