Point Cloud Library (PCL)  1.14.0-dev
gaussian.hpp
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39 
40 #pragma once
41 
42 #include <pcl/common/gaussian.h>
43 #include <cassert>
44 
45 namespace pcl
46 {
47 
48 template <typename PointT> void
50  std::function <float (const PointT& p)> field_accessor,
51  const Eigen::VectorXf& kernel,
52  pcl::PointCloud<float> &output) const
53 {
54  assert(kernel.size () % 2 == 1);
55  int kernel_width = kernel.size () -1;
56  int radius = kernel.size () / 2.0;
57  if(output.height < input.height || output.width < input.width)
58  {
59  output.width = input.width;
60  output.height = input.height;
61  output.resize (input.height * input.width);
62  }
63 
64  int i;
65  for(int j = 0; j < input.height; j++)
66  {
67  for (i = 0 ; i < radius ; i++)
68  output (i,j) = 0;
69 
70  for ( ; i < input.width - radius ; i++) {
71  output (i,j) = 0;
72  for (int k = kernel_width, l = i - radius; k >= 0 ; k--, l++)
73  output (i,j) += field_accessor (input (l,j)) * kernel[k];
74  }
75 
76  for ( ; i < input.width ; i++)
77  output (i,j) = 0;
78  }
79 }
80 
81 template <typename PointT> void
83  std::function <float (const PointT& p)> field_accessor,
84  const Eigen::VectorXf& kernel,
85  pcl::PointCloud<float> &output) const
86 {
87  assert(kernel.size () % 2 == 1);
88  int kernel_width = kernel.size () -1;
89  int radius = kernel.size () / 2.0;
90  if(output.height < input.height || output.width < input.width)
91  {
92  output.width = input.width;
93  output.height = input.height;
94  output.resize (input.height * input.width);
95  }
96 
97  int j;
98  for(int i = 0; i < input.width; i++)
99  {
100  for (j = 0 ; j < radius ; j++)
101  output (i,j) = 0;
102 
103  for ( ; j < input.height - radius ; j++) {
104  output (i,j) = 0;
105  for (int k = kernel_width, l = j - radius ; k >= 0 ; k--, l++)
106  {
107  output (i,j) += field_accessor (input (i,l)) * kernel[k];
108  }
109  }
110 
111  for ( ; j < input.height ; j++)
112  output (i,j) = 0;
113  }
114 }
115 
116 } // namespace pcl
117 
void convolveCols(const pcl::PointCloud< float > &input, const Eigen::VectorXf &kernel, pcl::PointCloud< float > &output) const
Convolve a float image columns by a given kernel.
void convolveRows(const pcl::PointCloud< float > &input, const Eigen::VectorXf &kernel, pcl::PointCloud< float > &output) const
Convolve a float image rows by a given kernel.
PointCloud represents the base class in PCL for storing collections of 3D points.
Definition: point_cloud.h:173
void resize(std::size_t count)
Resizes the container to contain count elements.
Definition: point_cloud.h:462
std::uint32_t width
The point cloud width (if organized as an image-structure).
Definition: point_cloud.h:398
std::uint32_t height
The point cloud height (if organized as an image-structure).
Definition: point_cloud.h:400
A point structure representing Euclidean xyz coordinates, and the RGB color.