correspondence_rejection_organized_boundary.h

/*
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 *
 *  Point Cloud Library (PCL) - www.pointclouds.org
 *  Copyright (c) 2009-2012, Willow Garage, Inc.
 *  Copyright (c) 2012-, Open Perception, Inc.
 *  Copyright (c) Alexandru-Eugen Ichim
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#pragma once
 
#include <pcl/registration/correspondence_rejection.h>
#include <pcl/conversions.h> // for fromPCLPointCloud2
#include <pcl/memory.h>      // for static_pointer_cast
 
namespace pcl {
namespace registration {
/**
 * @brief The CorrespondenceRejectionOrganizedBoundary class implements a simple
 * correspondence rejection measure. For each pair of points in correspondence, it
 * checks whether they are on the boundary of a silhouette. This is done by counting the
 * number of NaN dexels in a window around the points (the threshold and window size can
 * be set by the user). \note Both the source and the target clouds need to be
 * organized, otherwise all the correspondences will be rejected.
 *
 * \author Alexandru E. Ichim
 * \ingroup registration
 */
class PCL_EXPORTS CorrespondenceRejectionOrganizedBoundary
: public CorrespondenceRejector {
public:
  /** @brief Empty constructor. */
  CorrespondenceRejectionOrganizedBoundary() = default;
 
  void
  getRemainingCorrespondences(const pcl::Correspondences& original_correspondences,
                              pcl::Correspondences& remaining_correspondences) override;
 
  inline void
  setNumberOfBoundaryNaNs(int val)
  {
    boundary_nans_threshold_ = val;
  }
 
  template <typename PointT>
  inline void
  setInputSource(const typename pcl::PointCloud<PointT>::ConstPtr& cloud)
  {
    if (!data_container_)
      data_container_.reset(new pcl::registration::DataContainer<PointT>);
    static_pointer_cast<pcl::registration::DataContainer<PointT>>(data_container_)
        ->setInputSource(cloud);
  }
 
  template <typename PointT>
  inline void
  setInputTarget(const typename pcl::PointCloud<PointT>::ConstPtr& cloud)
  {
    if (!data_container_)
      data_container_.reset(new pcl::registration::DataContainer<PointT>);
    static_pointer_cast<pcl::registration::DataContainer<PointT>>(data_container_)
        ->setInputTarget(cloud);
  }
 
  /** \brief See if this rejector requires source points */
  bool
  requiresSourcePoints() const override
  {
    return (true);
  }
 
  /** \brief Blob method for setting the source cloud */
  void
  setSourcePoints(pcl::PCLPointCloud2::ConstPtr cloud2) override
  {
    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 override
  {
    return (true);
  }
 
  /** \brief Method for setting the target cloud */
  void
  setTargetPoints(pcl::PCLPointCloud2::ConstPtr cloud2) override
  {
    PointCloud<PointXYZ>::Ptr cloud(new PointCloud<PointXYZ>);
    fromPCLPointCloud2(*cloud2, *cloud);
    setInputTarget<PointXYZ>(cloud);
  }
 
  virtual bool
  updateSource(const Eigen::Matrix4d&)
  {
    return (true);
  }
 
protected:
  /** \brief Apply the rejection algorithm.
   * \param[out] correspondences the set of resultant correspondences.
   */
  inline void
  applyRejection(pcl::Correspondences& correspondences) override
  {
    getRemainingCorrespondences(*input_correspondences_, correspondences);
  }
 
  int boundary_nans_threshold_{8};
  int window_size_{5};
  float depth_step_threshold_{0.025f};
 
  using DataContainerPtr = DataContainerInterface::Ptr;
  DataContainerPtr data_container_;
};
} // namespace registration
} // namespace pcl