Go to the documentation of this file.
36 #ifndef LIBPOINTMATCHER_POINTTOPOINT_H
37 #define LIBPOINTMATCHER_POINTTOPOINT_H
59 return "Point-to-point error. Based on SVD decomposition. Per \\cite{Besl1992Point2Point}.";
73 #endif //LIBPOINTMATCHER_POINTTOPOINT_H
PointMatcher< T >::Matches Matches
PointMatcher< T >::OutlierWeights OutlierWeights
Matrix OutlierWeights
Weights of the associations between the points in Matches and the points in the reference.
Parametrizable::ParametersDoc ParametersDoc
static const std::string description()
PM::Parameters Parameters
PointMatcher< T >::ErrorMinimizer ErrorMinimizer
virtual TransformationParameters compute(const ErrorElements &mPts)
Find the transformation that minimizes the error given matched pair of points. This function most be ...
virtual T getOverlap() const
If not redefined by child class, return the ratio of how many points were used (with weight) for erro...
virtual T getResidualError(const DataPoints &filteredReading, const DataPoints &filteredReference, const OutlierWeights &outlierWeights, const Matches &matches) const
If not redefined by child class, return max value for T.
PointMatcher< T >::Matrix Matrix
Functions and classes that are dependant on scalar type are defined in this templatized class.
PointMatcherSupport::Parametrizable::ParametersDoc ParametersDoc
PointMatcherSupport::Parametrizable Parametrizable
PointMatcher< T >::ErrorMinimizer::ErrorElements ErrorElements
static T computeResidualError(const ErrorElements &mPts)
A structure holding data ready for minimization. The data are "normalized", for instance there are no...
std::vector< ParameterDoc > ParametersDoc
The documentation of all parameters.
PM::OutlierWeights OutlierWeights
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > Matrix
A dense matrix over ScalarType.
PointMatcher< T >::DataPoints DataPoints
Eigen::Matrix< T, Eigen::Dynamic, 1 > Vector
A vector over ScalarType.
Result of the data-association step (Matcher::findClosests), before outlier rejection.
PointMatcher< T >::Vector Vector
The superclass of classes that are constructed using generic parameters. This class provides the para...
PointToPointErrorMinimizer()
PM::TransformationParameters TransformationParameters
An error minimizer will compute a transformation matrix such as to minimize the error between the rea...
PointMatcher< T >::TransformationParameters TransformationParameters
TransformationParameters compute_in_place(ErrorElements &mPts)
const std::string className
name of the class
Parametrizable::Parameters Parameters
std::map< std::string, Parameter > Parameters
Parameters stored as a map of string->string.
Matrix TransformationParameters
A matrix holding the parameters a transformation.