MaxQuantileOnAxis.cpp
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5 Copyright (c) 2010--2018,
6 François Pomerleau and Stephane Magnenat, ASL, ETHZ, Switzerland
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35 #include "MaxQuantileOnAxis.h"
36 
37 #include <algorithm>
38 #include <vector>
39 
40 // MaxQuantileOnAxisDataPointsFilter
41 // Constructor
42 template<typename T>
44  const Parameters& params):
45  PointMatcher<T>::DataPointsFilter("MaxQuantileOnAxisDataPointsFilter",
46  MaxQuantileOnAxisDataPointsFilter::availableParameters(), params),
47  dim(Parametrizable::get<unsigned>("dim")),
48  ratio(Parametrizable::get<T>("ratio"))
49 {
50 }
51 
52 // Compute
53 template<typename T>
56  const DataPoints& input)
57 {
58  DataPoints output(input);
59  inPlaceFilter(output);
60  return output;
61 }
62 
63 // In-place filter
64 template<typename T>
66 {
67  if (int(dim) >= cloud.features.rows())
68  throw InvalidParameter((boost::format("MaxQuantileOnAxisDataPointsFilter: Error, filtering on dimension number %1%, larger than feature dimensionality %2%") % dim % cloud.features.rows()).str());
69 
70  const int nbPointsIn = cloud.features.cols();
71  const int nbPointsOut = nbPointsIn * ratio;
72 
73  // build array
74  std::vector<T> values;
75  values.reserve(nbPointsIn);
76  for (int x = 0; x < nbPointsIn; ++x)
77  values.push_back(cloud.features(dim, x));
78 
79  // get quartiles value
80  std::nth_element(values.begin(), values.begin() + (values.size() * ratio), values.end());
81  const T limit = values[nbPointsOut];
82 
83  // copy towards beginning the elements we keep
84  int j = 0;
85  for (int i = 0; i < nbPointsIn; ++i)
86  {
87  if (cloud.features(dim, i) < limit)
88  {
89  assert(j <= i);
90  cloud.setColFrom(j, cloud, i);
91  ++j;
92  }
93  }
94  assert(j <= nbPointsOut);
95 
96  cloud.conservativeResize(j);
97 
98 }
99 
102 
103 
MaxQuantileOnAxisDataPointsFilter::Parameters
Parametrizable::Parameters Parameters
Definition: MaxQuantileOnAxis.h:45
MaxQuantileOnAxisDataPointsFilter
Subsampling. Filter points beyond a maximum quantile measured on a specific axis.
Definition: MaxQuantileOnAxis.h:41
PointMatcher
Functions and classes that are dependant on scalar type are defined in this templatized class.
Definition: PointMatcher.h:130
PointMatcher::DataPoints
A point cloud.
Definition: PointMatcher.h:207
test.x
x
Definition: test.py:4
PointMatcher::DataPoints::setColFrom
void setColFrom(Index thisCol, const DataPoints &that, Index thatCol)
Set column thisCol equal to column thatCol of that, copy features and descriptors if any....
Definition: pointmatcher/DataPoints.cpp:392
PointMatcherSupport::Parametrizable::InvalidParameter
An exception thrown when one tries to fetch the value of an unexisting parameter.
Definition: Parametrizable.h:101
PointMatcher::DataPoints::features
Matrix features
features of points in the cloud
Definition: PointMatcher.h:331
values
std::vector< double > values
MaxQuantileOnAxisDataPointsFilter::filter
virtual DataPoints filter(const DataPoints &input)
Apply filters to input point cloud. This is the non-destructive version and returns a copy.
Definition: MaxQuantileOnAxis.cpp:55
PointMatcherSupport::Parametrizable
The superclass of classes that are constructed using generic parameters. This class provides the para...
Definition: Parametrizable.h:98
PointMatcherSupport::get
const M::mapped_type & get(const M &m, const typename M::key_type &k)
Definition: Bibliography.cpp:57
MaxQuantileOnAxisDataPointsFilter::inPlaceFilter
virtual void inPlaceFilter(DataPoints &cloud)
Apply these filters to a point cloud without copying.
Definition: MaxQuantileOnAxis.cpp:65
PointMatcher::DataPoints::conservativeResize
void conservativeResize(Index pointCount)
Resize the cloud to pointCount points, conserving existing ones.
Definition: pointmatcher/DataPoints.cpp:327
MaxQuantileOnAxisDataPointsFilter::MaxQuantileOnAxisDataPointsFilter
MaxQuantileOnAxisDataPointsFilter(const Parameters &params=Parameters())
Constructor, uses parameter interface.
Definition: MaxQuantileOnAxis.cpp:43
MaxQuantileOnAxis.h


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Author(s): Jose-Luis Blanco-Claraco
autogenerated on Mon Aug 14 2023 02:09:03