PointToPointWithCov.h
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5 Copyright (c) 2010--2012,
6 François Pomerleau and Stephane Magnenat, ASL, ETHZ, Switzerland
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8 <stephane at magnenat dot net>
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35 
36 #ifndef LIBPOINTMATCHER_POINTTOPOINTWITHCOV_H
37 #define LIBPOINTMATCHER_POINTTOPOINTWITHCOV_H
38 
39 #include "PointMatcher.h"
40 #include "ErrorMinimizersImpl.h"
41 
42 template <typename T>
44 {
49 
50  typedef typename PointMatcher<T>::Matrix Matrix;
57  typedef typename PointMatcher<T>::Vector Vector;
58 
59  inline static const std::string description()
60  {
61  return "Point-to-point error. Based on SVD decomposition. Based on \\cite{Besl1992Point2Point}. Covariance estimation based on \\cite{Censi2007ICPCovariance}.";
62  }
63 
64  inline static const ParametersDoc availableParameters()
65  {
66  return {
67  {"sensorStdDev", "sensor standard deviation", "0.01", "0.", "inf", &P::Comp<T>}
68  };
69  }
70 
71  const T sensorStdDev;
72  Matrix covMatrix;
73 
75  virtual TransformationParameters compute(const ErrorElements& mPts);
76  virtual Matrix getCovariance() const;
77  Matrix estimateCovariance(const ErrorElements& mPts, const TransformationParameters& transformation);
78 };
79 
80 #endif //LIBPOINTMATCHER_POINTTOPOINTWITHCOV_H
Matrix OutlierWeights
Weights of the associations between the points in Matches and the points in the reference.
Definition: PointMatcher.h:397
public interface
A structure holding data ready for minimization. The data are "normalized", for instance there are no...
Definition: PointMatcher.h:533
PointMatcher< T >::OutlierWeights OutlierWeights
PointMatcher< T >::TransformationParameters TransformationParameters
static const ParametersDoc availableParameters()
PointMatcher< T >::Matrix Matrix
::std::string string
Definition: gtest.h:1979
Matrix estimateCovariance(const ErrorElements &mPts, const TransformationParameters &transformation)
PointToPointWithCovErrorMinimizer(const Parameters &params=Parameters())
PointMatcherSupport::Parametrizable Parametrizable
virtual TransformationParameters compute(const ErrorElements &mPts)
Find the transformation that minimizes the error given matched pair of points. This function most be ...
PointMatcher< T >::DataPoints DataPoints
An error minimizer will compute a transformation matrix such as to minimize the error between the rea...
Definition: PointMatcher.h:530
PointMatcher< T >::ErrorMinimizer ErrorMinimizer
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > Matrix
A dense matrix over ScalarType.
Definition: PointMatcher.h:169
virtual Matrix getCovariance() const
If not redefined by child class, return zero matrix.
Parametrizable::Parameters Parameters
std::map< std::string, Parameter > Parameters
Parameters stored as a map of string->string.
transformation
Definition: build_map.py:37
PointMatcherSupport::Parametrizable P
Result of the data-association step (Matcher::findClosests), before outlier rejection.
Definition: PointMatcher.h:371
Parametrizable::ParametersDoc ParametersDoc
static const std::string description()
The superclass of classes that are constructed using generic parameters. This class provides the para...
std::vector< ParameterDoc > ParametersDoc
The documentation of all parameters.
PointMatcher< T >::Vector Vector
PointMatcher< T >::Matches Matches
Eigen::Matrix< T, Eigen::Dynamic, 1 > Vector
A vector over ScalarType.
Definition: PointMatcher.h:161
PointMatcher< T >::ErrorMinimizer::ErrorElements ErrorElements
Matrix TransformationParameters
A matrix holding the parameters a transformation.
Definition: PointMatcher.h:182


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