#include <CovarianceSampling.h>

| Public Types | |
| typedef PM::DataPoints | DataPoints | 
| typedef PM::DataPointsFilter | DataPointsFilter | 
| typedef DataPoints::Index | Index | 
| typedef PointMatcher< T >::DataPoints::InvalidField | InvalidField | 
| typedef Parametrizable::InvalidParameter | InvalidParameter | 
| typedef PointMatcher< T >::Matrix | Matrix | 
| using | Matrix66 = Eigen::Matrix< T, 6, 6 > | 
| typedef PointMatcherSupport::Parametrizable | P | 
| typedef Parametrizable::ParameterDoc | ParameterDoc | 
| typedef Parametrizable::Parameters | Parameters | 
| typedef Parametrizable::ParametersDoc | ParametersDoc | 
| typedef PointMatcherSupport::Parametrizable | Parametrizable | 
| typedef PointMatcher< T > | PM | 
| enum | TorqueNormMethod : std::uint8_t { L1 =0, Lavg =1, Lmax =2 } | 
| typedef PointMatcher< T >::Vector | Vector | 
| using | Vector3 = Eigen::Matrix< T, 3, 1 > | 
| using | Vector6 = Eigen::Matrix< T, 6, 1 > | 
|  Public Types inherited from PointMatcherSupport::Parametrizable | |
| typedef bool(* | LexicalComparison) (std::string a, std::string b) | 
| A function that returns whether a is smaller than b.  More... | |
| typedef std::string | Parameter | 
| alias  More... | |
| typedef std::map< std::string, Parameter > | Parameters | 
| Parameters stored as a map of string->string.  More... | |
| typedef std::vector< ParameterDoc > | ParametersDoc | 
| The documentation of all parameters.  More... | |
| typedef std::set< std::string > | ParametersUsed | 
| Parameters whose value has been read.  More... | |
| Public Member Functions | |
| CovarianceSamplingDataPointsFilter (const Parameters ¶ms=Parameters()) | |
| virtual DataPoints | filter (const DataPoints &input) | 
| Apply filters to input point cloud. This is the non-destructive version and returns a copy.  More... | |
| virtual void | inPlaceFilter (DataPoints &cloud) | 
| Apply these filters to a point cloud without copying.  More... | |
| virtual | ~CovarianceSamplingDataPointsFilter () | 
|  Public Member Functions inherited from PointMatcher< T >::DataPointsFilter | |
| DataPointsFilter () | |
| Construct without parameter.  More... | |
| DataPointsFilter (const std::string &className, const ParametersDoc paramsDoc, const Parameters ¶ms) | |
| Construct with parameters.  More... | |
| virtual void | init () | 
| Init this filter.  More... | |
| virtual | ~DataPointsFilter () | 
| virtual destructor  More... | |
|  Public Member Functions inherited from PointMatcherSupport::Parametrizable | |
| template<typename S > | |
| S | get (const std::string ¶mName) | 
| Return the value of paramName, lexically-casted to S.  More... | |
| std::string | getParamValueString (const std::string ¶mName) | 
| Get the value of a parameter, as a string.  More... | |
| Parametrizable () | |
| Construct a documentation of parameters from a description in the source.  More... | |
| Parametrizable (const std::string &className, const ParametersDoc paramsDoc, const Parameters ¶ms) | |
| Construct with documented parameters.  More... | |
| virtual | ~Parametrizable () | 
| Virtual destructor, do nothing.  More... | |
| Static Public Member Functions | |
| static const ParametersDoc | availableParameters () | 
| static T | computeConditionNumber (const Matrix66 &cov) | 
| static const std::string | description () | 
|  Static Public Member Functions inherited from PointMatcherSupport::Parametrizable | |
| template<typename S > | |
| static bool | Comp (std::string a, std::string b) | 
| Return whether a < b, lexically casted to S.  More... | |
| Public Attributes | |
| std::size_t | nbSample | 
| TorqueNormMethod | normalizationMethod | 
|  Public Attributes inherited from PointMatcherSupport::Parametrizable | |
| const std::string | className | 
| name of the class  More... | |
| Parameters | parameters | 
| parameters with their values encoded in string  More... | |
| const ParametersDoc | parametersDoc | 
| documentation of parameters  More... | |
| ParametersUsed | parametersUsed | 
| parameters whose value has actually been read  More... | |
Definition at line 40 of file CovarianceSampling.h.
| typedef PM::DataPoints CovarianceSamplingDataPointsFilter< T >::DataPoints | 
Definition at line 44 of file CovarianceSampling.h.
| typedef PM::DataPointsFilter CovarianceSamplingDataPointsFilter< T >::DataPointsFilter | 
Definition at line 45 of file CovarianceSampling.h.
| typedef DataPoints::Index CovarianceSamplingDataPointsFilter< T >::Index | 
Definition at line 54 of file CovarianceSampling.h.
| typedef PointMatcher<T>::DataPoints::InvalidField CovarianceSamplingDataPointsFilter< T >::InvalidField | 
Definition at line 56 of file CovarianceSampling.h.
| typedef Parametrizable::InvalidParameter CovarianceSamplingDataPointsFilter< T >::InvalidParameter | 
Definition at line 52 of file CovarianceSampling.h.
| typedef PointMatcher<T>::Matrix CovarianceSamplingDataPointsFilter< T >::Matrix | 
Definition at line 59 of file CovarianceSampling.h.
| using CovarianceSamplingDataPointsFilter< T >::Matrix66 = Eigen::Matrix<T, 6, 6> | 
Definition at line 61 of file CovarianceSampling.h.
| typedef PointMatcherSupport::Parametrizable CovarianceSamplingDataPointsFilter< T >::P | 
Definition at line 48 of file CovarianceSampling.h.
| typedef Parametrizable::ParameterDoc CovarianceSamplingDataPointsFilter< T >::ParameterDoc | 
Definition at line 50 of file CovarianceSampling.h.
| typedef Parametrizable::Parameters CovarianceSamplingDataPointsFilter< T >::Parameters | 
Definition at line 49 of file CovarianceSampling.h.
| typedef Parametrizable::ParametersDoc CovarianceSamplingDataPointsFilter< T >::ParametersDoc | 
Definition at line 51 of file CovarianceSampling.h.
| typedef PointMatcherSupport::Parametrizable CovarianceSamplingDataPointsFilter< T >::Parametrizable | 
Definition at line 47 of file CovarianceSampling.h.
| typedef PointMatcher<T> CovarianceSamplingDataPointsFilter< T >::PM | 
Definition at line 43 of file CovarianceSampling.h.
| typedef PointMatcher<T>::Vector CovarianceSamplingDataPointsFilter< T >::Vector | 
Definition at line 58 of file CovarianceSampling.h.
| using CovarianceSamplingDataPointsFilter< T >::Vector3 = Eigen::Matrix<T, 3, 1> | 
Definition at line 63 of file CovarianceSampling.h.
| using CovarianceSamplingDataPointsFilter< T >::Vector6 = Eigen::Matrix<T, 6, 1> | 
Definition at line 62 of file CovarianceSampling.h.
| enum CovarianceSamplingDataPointsFilter::TorqueNormMethod : std::uint8_t | 
| Enumerator | |
|---|---|
| L1 | |
| Lavg | |
| Lmax | |
Definition at line 78 of file CovarianceSampling.h.
| CovarianceSamplingDataPointsFilter< T >::CovarianceSamplingDataPointsFilter | ( | const Parameters & | params = Parameters() | ) | 
Definition at line 48 of file CovarianceSampling.cpp.
| 
 | inlinevirtual | 
Definition at line 88 of file CovarianceSampling.h.
| 
 | inlinestatic | 
Definition at line 70 of file CovarianceSampling.h.
| 
 | static | 
Definition at line 255 of file CovarianceSampling.cpp.
| 
 | inlinestatic | 
Definition at line 65 of file CovarianceSampling.h.
| 
 | virtual | 
Apply filters to input point cloud. This is the non-destructive version and returns a copy.
Implements PointMatcher< T >::DataPointsFilter.
Definition at line 66 of file CovarianceSampling.cpp.
| 
 | virtual | 
Apply these filters to a point cloud without copying.
-— Part A, as we compare the cloud with himself, the overlap is 100%, so we keep all points
-— Part B
Add point iteratively till we got the desired number of point
(4) Sample the point cloud
Implements PointMatcher< T >::DataPointsFilter.
Definition at line 74 of file CovarianceSampling.cpp.
| std::size_t CovarianceSamplingDataPointsFilter< T >::nbSample | 
Definition at line 80 of file CovarianceSampling.h.
| TorqueNormMethod CovarianceSamplingDataPointsFilter< T >::normalizationMethod | 
Definition at line 81 of file CovarianceSampling.h.