Point Cloud Library (PCL) 1.15.0
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shadowpoints.hpp
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37
38#ifndef PCL_FILTERS_IMPL_SHADOW_POINTS_FILTER_H_
39#define PCL_FILTERS_IMPL_SHADOW_POINTS_FILTER_H_
40
41#include <pcl/filters/shadowpoints.h>
42
43#include <vector>
44
45///////////////////////////////////////////////////////////////////////////////
46template<typename PointT, typename NormalT> void
48{
49 assert (input_normals_ != nullptr);
50 output.resize (input_->size ());
52 removed_indices_->resize (input_->size ());
53
54 std::size_t cp = 0;
55 std::size_t ri = 0;
56 for (std::size_t i = 0; i < input_->size (); i++)
57 {
58 const NormalT &normal = (*input_normals_)[i];
59 const PointT &pt = (*input_)[i];
60 const float val = std::abs (normal.normal_x * pt.x + normal.normal_y * pt.y + normal.normal_z * pt.z);
61
62 if ( (val >= threshold_) ^ negative_)
63 output[cp++] = pt;
64 else
65 {
67 (*removed_indices_)[ri++] = i;
69 {
70 PointT &pt_new = output[cp++] = pt;
71 pt_new.x = pt_new.y = pt_new.z = user_filter_value_;
72 }
73
74 }
75 }
76 output.resize (cp);
77 removed_indices_->resize (ri);
78 output.height = 1;
79 output.width = output.size ();
80}
81
82///////////////////////////////////////////////////////////////////////////////
83template<typename PointT, typename NormalT> void
85{
86 assert (input_normals_ != nullptr);
87 indices.resize (input_->size ());
89 removed_indices_->resize (indices_->size ());
90
91 unsigned int k = 0;
92 unsigned int z = 0;
93 for (const auto& idx : (*indices_))
94 {
95 const NormalT &normal = (*input_normals_)[idx];
96 const PointT &pt = (*input_)[idx];
97
98 float val = std::abs (normal.normal_x * pt.x + normal.normal_y * pt.y + normal.normal_z * pt.z);
99
100 if ( (val >= threshold_) ^ negative_)
101 indices[k++] = idx;
103 (*removed_indices_)[z++] = idx;
104 }
105 indices.resize (k);
106 removed_indices_->resize (z);
107}
108
109#define PCL_INSTANTIATE_ShadowPoints(T,NT) template class PCL_EXPORTS pcl::ShadowPoints<T,NT>;
110
111#endif // PCL_FILTERS_IMPL_NORMAL_SPACE_SAMPLE_H_
bool extract_removed_indices_
Set to true if we want to return the indices of the removed points.
Definition filter.h:161
IndicesPtr removed_indices_
Indices of the points that are removed.
Definition filter.h:155
float user_filter_value_
The user given value that the filtered point dimensions should be set to (default = NaN).
bool keep_organized_
False = remove points (default), true = redefine points, keep structure.
bool negative_
False = normal filter behavior (default), true = inverted behavior.
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
NormalsPtr input_normals_
The normals computed at each point in the input cloud.
void applyFilter(PointCloud &output) override
Sample of point indices into a separate PointCloud.
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition types.h:133