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36 #ifndef LIBPOINTMATCHER_POINTTOPOINTSIMILARITY_H
37 #define LIBPOINTMATCHER_POINTTOPOINTSIMILARITY_H
55 return "Point-to-point similarity error (rotation + translation + scale). The scale is the same for all coordinates. Based on SVD decomposition. Per \\cite{Umeyama1991}.";
68 #endif //LIBPOINTMATCHER_POINTTOPOINTSIMILARITY_H
PointMatcher< T >::Vector Vector
PointMatcher< T >::DataPoints DataPoints
Matrix OutlierWeights
Weights of the associations between the points in Matches and the points in the reference.
PointToPointSimilarityErrorMinimizer()
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.
Functions and classes that are dependant on scalar type are defined in this templatized class.
PointMatcher< T >::Matches Matches
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.
virtual T getOverlap() const
If not redefined by child class, return the ratio of how many points were used (with weight) for erro...
PM::OutlierWeights OutlierWeights
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > Matrix
A dense matrix over ScalarType.
PointMatcher< T >::TransformationParameters TransformationParameters
Eigen::Matrix< T, Eigen::Dynamic, 1 > Vector
A vector over ScalarType.
Result of the data-association step (Matcher::findClosests), before outlier rejection.
The superclass of classes that are constructed using generic parameters. This class provides the para...
PM::TransformationParameters TransformationParameters
An error minimizer will compute a transformation matrix such as to minimize the error between the rea...
Functions and classes that are not dependant on scalar type are defined in this namespace.
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 ...
std::map< std::string, Parameter > Parameters
Parameters stored as a map of string->string.
static const std::string description()
PointMatcher< T >::OutlierWeights OutlierWeights
Matrix TransformationParameters
A matrix holding the parameters a transformation.
PointMatcher< T >::Matrix Matrix
PointMatcher< T >::ErrorMinimizer::ErrorElements ErrorElements