#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.