transformation_from_correspondences.h

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#pragma once
 
#include <Eigen/Core> // for Vector3f, Matrix
#include <Eigen/Geometry> // for Affine3f
 
namespace pcl 
{
  /**
    * \brief Calculates a transformation based on corresponding 3D points
    * \author Bastian Steder
    * \ingroup common
    */
  class TransformationFromCorrespondences 
  {
     public:
        //-----CONSTRUCTOR&DESTRUCTOR-----
        /** Constructor - dimension gives the size of the vectors to work with. */
        TransformationFromCorrespondences () 
        { reset (); }
 
        //-----METHODS-----
        /** Reset the object to work with a new data set */
        inline void 
        reset ();
        
        /** Get the summed up weight of all added vectors */
        inline float 
        getAccumulatedWeight () const { return accumulated_weight_;}
        
        /** Get the number of added vectors */
        inline unsigned int 
        getNoOfSamples () const { return no_of_samples_;}
        
        /** Add a new sample */
        inline void 
        add (const Eigen::Vector3f& point, const Eigen::Vector3f& corresponding_point, float weight=1.0);
        
        /** Calculate the transformation that will best transform the points into their correspondences */
        inline Eigen::Affine3f 
        getTransformation ();
        
        //-----VARIABLES-----
        
     protected:
        //-----METHODS-----
        //-----VARIABLES-----
        unsigned int no_of_samples_ = 0;
        float accumulated_weight_ = 0;
        Eigen::Vector3f mean1_ = Eigen::Vector3f::Identity ();
        Eigen::Vector3f mean2_ = Eigen::Vector3f::Identity ();
        Eigen::Matrix<float, 3, 3> covariance_ = Eigen::Matrix<float, 3, 3>::Identity ();
  };
 
}  // END namespace
 
#include <pcl/common/impl/transformation_from_correspondences.hpp>