correspondence_rejection_median_distance.h

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#ifndef PCL_REGISTRATION_CORRESPONDENCE_REJECTION_MEDIAN_DISTANCE_H_
#define PCL_REGISTRATION_CORRESPONDENCE_REJECTION_MEDIAN_DISTANCE_H_

#include <pcl/registration/correspondence_rejection.h>
#include <pcl/point_cloud.h>

namespace pcl
{
  namespace registration
  {
    /** \brief CorrespondenceRejectorMedianDistance implements a simple correspondence
      * rejection method based on thresholding based on the median distance between the
      * correspondences.
      *
      * \note If \ref setInputCloud and \ref setInputTarget are given, then the
      * distances between correspondences will be estimated using the given XYZ
      * data, and not read from the set of input correspondences.
      *
      * \author Aravindhan K Krishnan. This code is ported from libpointmatcher (https://github.com/ethz-asl/libpointmatcher)
      * \ingroup registration
      */
    class PCL_EXPORTS CorrespondenceRejectorMedianDistance: public CorrespondenceRejector
    {
      using CorrespondenceRejector::input_correspondences_;
      using CorrespondenceRejector::rejection_name_;
      using CorrespondenceRejector::getClassName;

      public:
        typedef boost::shared_ptr<CorrespondenceRejectorMedianDistance> Ptr;
        typedef boost::shared_ptr<const CorrespondenceRejectorMedianDistance> ConstPtr;

        /** \brief Empty constructor. */
        CorrespondenceRejectorMedianDistance () 
          : median_distance_ (0)
          , factor_ (1.0)
          , data_container_ ()
        {
          rejection_name_ = "CorrespondenceRejectorMedianDistance";
        }

        /** \brief Get a list of valid correspondences after rejection from the original set of correspondences.
          * \param[in] original_correspondences the set of initial correspondences given
          * \param[out] remaining_correspondences the resultant filtered set of remaining correspondences
          */
        void 
        getRemainingCorrespondences (const pcl::Correspondences& original_correspondences, 
                                     pcl::Correspondences& remaining_correspondences);

        /** \brief Get the median distance used for thresholding in correspondence rejection. */
        inline double
        getMedianDistance () const { return (median_distance_); };

        /** \brief Provide a source point cloud dataset (must contain XYZ
          * data!), used to compute the correspondence distance.  
          * \param[in] cloud a cloud containing XYZ data
          */
        template <typename PointT> inline void 
        setInputSource (const typename pcl::PointCloud<PointT>::ConstPtr &cloud)
        {
          if (!data_container_)
            data_container_.reset (new DataContainer<PointT>);
          boost::static_pointer_cast<DataContainer<PointT> > (data_container_)->setInputSource (cloud);
        }

        /** \brief Provide a source point cloud dataset (must contain XYZ
          * data!), used to compute the correspondence distance.  
          * \param[in] cloud a cloud containing XYZ data
          */
        template <typename PointT> inline void 
        setInputCloud (const typename pcl::PointCloud<PointT>::ConstPtr &cloud)
        {
          PCL_WARN ("[pcl::registration::%s::setInputCloud] setInputCloud is deprecated. Please use setInputSource instead.\n", getClassName ().c_str ());
          if (!data_container_)
            data_container_.reset (new DataContainer<PointT>);
          boost::static_pointer_cast<DataContainer<PointT> > (data_container_)->setInputSource (cloud);
        }

        /** \brief Provide a target point cloud dataset (must contain XYZ
          * data!), used to compute the correspondence distance.  
          * \param[in] target a cloud containing XYZ data
          */
        template <typename PointT> inline void 
        setInputTarget (const typename pcl::PointCloud<PointT>::ConstPtr &target)
        {
          if (!data_container_)
            data_container_.reset (new DataContainer<PointT>);
          boost::static_pointer_cast<DataContainer<PointT> > (data_container_)->setInputTarget (target);
        }
        
        /** \brief See if this rejector requires source points */
        bool
        requiresSourcePoints () const
        { return (true); }

        /** \brief Blob method for setting the source cloud */
        void
        setSourcePoints (pcl::PCLPointCloud2::ConstPtr cloud2)
        { 
          PointCloud<PointXYZ>::Ptr cloud (new PointCloud<PointXYZ>);
          fromPCLPointCloud2 (*cloud2, *cloud);
          setInputSource<PointXYZ> (cloud);
        }
        
        /** \brief See if this rejector requires a target cloud */
        bool
        requiresTargetPoints () const
        { return (true); }

        /** \brief Method for setting the target cloud */
        void
        setTargetPoints (pcl::PCLPointCloud2::ConstPtr cloud2)
        { 
          PointCloud<PointXYZ>::Ptr cloud (new PointCloud<PointXYZ>);
          fromPCLPointCloud2 (*cloud2, *cloud);
          setInputTarget<PointXYZ> (cloud);
        }

        /** \brief Provide a pointer to the search object used to find correspondences in
          * the target cloud.
          * \param[in] tree a pointer to the spatial search object.
          * \param[in] force_no_recompute If set to true, this tree will NEVER be 
          * recomputed, regardless of calls to setInputTarget. Only use if you are 
          * confident that the tree will be set correctly.
          */
        template <typename PointT> inline void
        setSearchMethodTarget (const boost::shared_ptr<pcl::search::KdTree<PointT> > &tree, 
                               bool force_no_recompute = false) 
        { 
          boost::static_pointer_cast< DataContainer<PointT> > 
            (data_container_)->setSearchMethodTarget (tree, force_no_recompute );
        }

        /** \brief Set the factor for correspondence rejection. Points with distance greater than median times factor
         *  will be rejected
         *  \param[in] factor value
         */
        inline void
        setMedianFactor (double factor) { factor_ = factor; };

        /** \brief Get the factor used for thresholding in correspondence rejection. */
        inline double
        getMedianFactor () const { return factor_; };

      protected:

        /** \brief Apply the rejection algorithm.
          * \param[out] correspondences the set of resultant correspondences.
          */
        inline void 
        applyRejection (pcl::Correspondences &correspondences)
        {
          getRemainingCorrespondences (*input_correspondences_, correspondences);
        }

        /** \brief The median distance threshold between two correspondent points in source <-> target.
          */
        double median_distance_;

        /** \brief The factor for correspondence rejection. Points with distance greater than median times factor
         *  will be rejected
         */
        double factor_;

        typedef boost::shared_ptr<DataContainerInterface> DataContainerPtr;

        /** \brief A pointer to the DataContainer object containing the input and target point clouds */
        DataContainerPtr data_container_;
    };
  }
}

#include <pcl/registration/impl/correspondence_rejection_median_distance.hpp>

#endif    // PCL_REGISTRATION_CORRESPONDENCE_REJECTION_MEDIAN_DISTANCE_H_