DistanceLimit.cpp
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3 /*
4 
5 Copyright (c) 2010--2018,
6 François Pomerleau and Stephane Magnenat, ASL, ETHZ, Switzerland
7 You can contact the authors at <f dot pomerleau at gmail dot com> and
8 <stephane at magnenat dot net>
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34 */
35 #include "DistanceLimit.h"
36 #include "pointmatcher/Functions.h"
37 
38 // DistanceLimitDataPointsFilter
39 // Constructor
40 template<typename T>
42  PointMatcher<T>::DataPointsFilter("DistanceLimitDataPointsFilter",
43  DistanceLimitDataPointsFilter::availableParameters(), params),
44  dim(Parametrizable::get<unsigned>("dim")),
45  dist(Parametrizable::get<T>("dist")),
46  removeInside(Parametrizable::get<bool>("removeInside"))
47 {
48 }
49 
50 template<typename T>
52  const DataPoints& input)
53 {
54  DataPoints output(input);
55  inPlaceFilter(output);
56  return output;
57 }
58 
59 // In-place filter
60 template<typename T>
62  DataPoints& cloud)
63 {
64  using namespace PointMatcherSupport;
65 
66  if(dim >= cloud.features.rows() - 1)
67  {
68  throw InvalidParameter(
69  (boost::format("DistanceLimitDataPointsFilter: Error, filtering on dimension number %1%, larger than authorized axis id %2%") % dim % (cloud.features.rows() - 2)).str());
70  }
71 
72  const int nbPointsIn = cloud.features.cols();
73  const int nbRows = cloud.features.rows();
74 
75  int j = 0;
76  if(dim == -1) // Euclidean distance
77  {
78  const T absMaxDist = anyabs(dist);
79  for(int i = 0; i < nbPointsIn; ++i)
80  {
81  if(removeInside)
82  {
83  if(cloud.features.col(i).head(nbRows-1).norm() > absMaxDist)
84  {
85  cloud.setColFrom(j, cloud, i);
86  ++j;
87  }
88  }
89  else
90  {
91  if(cloud.features.col(i).head(nbRows-1).norm() < absMaxDist)
92  {
93  cloud.setColFrom(j, cloud, i);
94  ++j;
95  }
96  }
97  }
98  }
99  else // Single-axis distance
100  {
101  for(int i = 0; i < nbPointsIn; ++i)
102  {
103  if(removeInside)
104  {
105  if((cloud.features(dim, i)) > dist)
106  {
107  cloud.setColFrom(j, cloud, i);
108  ++j;
109  }
110  }
111  else
112  {
113  if((cloud.features(dim, i)) < dist)
114  {
115  cloud.setColFrom(j, cloud, i);
116  ++j;
117  }
118  }
119  }
120  }
121 
122  cloud.conservativeResize(j);
123 }
124 
Subsampling. Filter points based on distance measured on a specific axis.
Definition: DistanceLimit.h:41
Parametrizable::Parameters Parameters
Definition: DistanceLimit.h:45
virtual DataPoints filter(const DataPoints &input)
Apply filters to input point cloud. This is the non-destructive version and returns a copy...
void setColFrom(Index thisCol, const DataPoints &that, Index thatCol)
Set column thisCol equal to column thatCol of that, copy features and descriptors if any...
DistanceLimitDataPointsFilter(const Parameters &params=Parameters())
Constructor, uses parameter interface.
Functions and classes that are not dependant on scalar type are defined in this namespace.
Functions and classes that are dependant on scalar type are defined in this templatized class...
Definition: PointMatcher.h:130
const M::mapped_type & get(const M &m, const typename M::key_type &k)
The superclass of classes that are constructed using generic parameters. This class provides the para...
void conservativeResize(Index pointCount)
Resize the cloud to pointCount points, conserving existing ones.
Matrix features
features of points in the cloud
Definition: PointMatcher.h:331
Parametrizable::InvalidParameter InvalidParameter
Definition: DistanceLimit.h:48
PM::DataPointsFilter DataPointsFilter
virtual void inPlaceFilter(DataPoints &cloud)
Apply these filters to a point cloud without copying.
static T anyabs(const T &v)
Definition: Functions.h:44


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autogenerated on Sat May 27 2023 02:36:30