Point Cloud Library (PCL) 1.13.0
cppf.hpp
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40
41#ifndef PCL_FEATURES_IMPL_CPPF_H_
42#define PCL_FEATURES_IMPL_CPPF_H_
43
44#include <pcl/features/cppf.h>
45
46//////////////////////////////////////////////////////////////////////////////////////////////
47template <typename PointInT, typename PointNT, typename PointOutT>
49 : FeatureFromNormals <PointInT, PointNT, PointOutT> ()
50{
51 feature_name_ = "CPPFEstimation";
52 // Slight hack in order to pass the check for the presence of a search method in Feature::initCompute ()
55}
56
57
58//////////////////////////////////////////////////////////////////////////////////////////////
59template <typename PointInT, typename PointNT, typename PointOutT> void
61{
62 // Initialize output container
63 output.points.clear ();
64 output.points.reserve (indices_->size () * input_->size ());
65 output.is_dense = true;
66 // Compute point pair features for every pair of points in the cloud
67 for (const auto& i: *indices_)
68 {
69 for (std::size_t j = 0 ; j < input_->size (); ++j)
70 {
71 PointOutT p;
72 // No need to calculate feature for identity pair (i, j) as they aren't used in future calculations
73 // @TODO: resolve issue with comparison in a better manner
74 if (static_cast<std::size_t>(i) != j)
75 {
76 if (
77 pcl::computeCPPFPairFeature ((*input_)[i].getVector4fMap (),
78 (*normals_)[i].getNormalVector4fMap (),
79 (*input_)[i].getRGBVector4i (),
80 (*input_)[j].getVector4fMap (),
81 (*normals_)[j].getNormalVector4fMap (),
82 (*input_)[j].getRGBVector4i (),
83 p.f1, p.f2, p.f3, p.f4, p.f5, p.f6, p.f7, p.f8, p.f9, p.f10))
84 {
85 // Calculate alpha_m angle
86 Eigen::Vector3f model_reference_point = (*input_)[i].getVector3fMap (),
87 model_reference_normal = (*normals_)[i].getNormalVector3fMap (),
88 model_point = (*input_)[j].getVector3fMap ();
89 Eigen::AngleAxisf rotation_mg (std::acos (model_reference_normal.dot (Eigen::Vector3f::UnitX ())),
90 model_reference_normal.cross (Eigen::Vector3f::UnitX ()).normalized ());
91 Eigen::Affine3f transform_mg = Eigen::Translation3f ( rotation_mg * ((-1) * model_reference_point)) * rotation_mg;
92
93 Eigen::Vector3f model_point_transformed = transform_mg * model_point;
94 float angle = std::atan2 ( -model_point_transformed(2), model_point_transformed(1));
95 if (std::sin (angle) * model_point_transformed(2) < 0.0f)
96 angle *= (-1);
97 p.alpha_m = -angle;
98 }
99 else
100 {
101 PCL_ERROR ("[pcl::%s::computeFeature] Computing pair feature vector between points %lu and %lu went wrong.\n", getClassName ().c_str (), i, j);
102 p.f1 = p.f2 = p.f3 = p.f4 = p.f5 = p.f6 = p.f7 = p.f8 = p.f9 = p.f10 = p.alpha_m = std::numeric_limits<float>::quiet_NaN ();
103 output.is_dense = false;
104 }
105 }
106 else
107 {
108 p.f1 = p.f2 = p.f3 = p.f4 = p.f5 = p.f6 = p.f7 = p.f8 = p.f9 = p.f10 = p.alpha_m = std::numeric_limits<float>::quiet_NaN ();
109 output.is_dense = false;
110 }
111
112 output.push_back (p);
113 }
114 }
115 // overwrite the sizes done by Feature::initCompute ()
116 output.height = 1;
117 output.width = output.size ();
118}
119
120#define PCL_INSTANTIATE_CPPFEstimation(T,NT,OutT) template class PCL_EXPORTS pcl::CPPFEstimation<T,NT,OutT>;
121
122
123#endif // PCL_FEATURES_IMPL_CPPF_H_
Class that calculates the "surflet" features for each pair in the given pointcloud.
Definition: cppf.h:87
CPPFEstimation()
Empty Constructor.
Definition: cppf.hpp:48
Feature represents the base feature class.
Definition: feature.h:107
std::string feature_name_
The feature name.
Definition: feature.h:220
search::KdTree is a wrapper class which inherits the pcl::KdTree class for performing search function...
Definition: kdtree.h:62
PCL_EXPORTS bool computeCPPFPairFeature(const Eigen::Vector4f &p1, const Eigen::Vector4f &n1, const Eigen::Vector4i &c1, const Eigen::Vector4f &p2, const Eigen::Vector4f &n2, const Eigen::Vector4i &c2, float &f1, float &f2, float &f3, float &f4, float &f5, float &f6, float &f7, float &f8, float &f9, float &f10)