plane_refinement_comparator.h

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 * $Id: extract_clusters.h 5027 2012-03-12 03:10:45Z rusu $
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#pragma once
 
#include <pcl/memory.h>  // for pcl::make_shared
#include <pcl/segmentation/plane_coefficient_comparator.h>
 
namespace pcl
{
  /** \brief PlaneRefinementComparator is a Comparator that operates on plane coefficients,
    * for use in planar segmentation.
    * In conjunction with OrganizedConnectedComponentSegmentation, this allows planes to be segmented from organized data.
    *
    * \author Alex Trevor, Suat Gedikli
    */
  template<typename PointT, typename PointNT, typename PointLT>
  class PlaneRefinementComparator: public PlaneCoefficientComparator<PointT, PointNT>
  {
    public:
      using PointCloud = typename Comparator<PointT>::PointCloud;
      using PointCloudConstPtr = typename Comparator<PointT>::PointCloudConstPtr;
 
      using PointCloudN = pcl::PointCloud<PointNT>;
      using PointCloudNPtr = typename PointCloudN::Ptr;
      using PointCloudNConstPtr = typename PointCloudN::ConstPtr;
 
      using PointCloudL = pcl::PointCloud<PointLT>;
      using PointCloudLPtr = typename PointCloudL::Ptr;
      using PointCloudLConstPtr = typename PointCloudL::ConstPtr;
 
      using Ptr = shared_ptr<PlaneRefinementComparator<PointT, PointNT, PointLT> >;
      using ConstPtr = shared_ptr<const PlaneRefinementComparator<PointT, PointNT, PointLT> >;
 
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::input_;
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::normals_;
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::distance_threshold_;
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::plane_coeff_d_;
 
 
      /** \brief Empty constructor for PlaneCoefficientComparator. */
     PlaneRefinementComparator ()
        : labels_ ()
        , depth_dependent_ (false)
      {
      }
 
      /** \brief Empty constructor for PlaneCoefficientComparator.
        * \param[in] models
        * \param[in] refine_labels
        */
      PlaneRefinementComparator (shared_ptr<std::vector<pcl::ModelCoefficients> >& models,
                                 shared_ptr<std::vector<bool> >& refine_labels)
        : models_ (models)
        , labels_ ()
        , refine_labels_ (refine_labels)
        , depth_dependent_ (false)
      {
      }
 
      /** \brief Destructor for PlaneCoefficientComparator. */
      ~PlaneRefinementComparator ()
      {
      }
 
      /** \brief Set the vector of model coefficients to which we will compare.
        * \param[in] models a vector of model coefficients produced by the initial segmentation step.
        */
      void
      setModelCoefficients (shared_ptr<std::vector<pcl::ModelCoefficients> >& models)
      {
        models_ = models;
      }
 
      /** \brief Set the vector of model coefficients to which we will compare.
        * \param[in] models a vector of model coefficients produced by the initial segmentation step.
        */
      void
      setModelCoefficients (std::vector<pcl::ModelCoefficients>& models)
      {
        models_ = pcl::make_shared<std::vector<pcl::ModelCoefficients> >(models);
      }
 
      /** \brief Set which labels should be refined.  This is a vector of bools 0-max_label, true if the label should be refined.
        * \param[in] refine_labels A vector of bools 0-max_label, true if the label should be refined.
        */
      void
      setRefineLabels (shared_ptr<std::vector<bool> >& refine_labels)
      {
        refine_labels_ = refine_labels;
      }
 
      /** \brief Set which labels should be refined.  This is a vector of bools 0-max_label, true if the label should be refined.
        * \param[in] refine_labels A vector of bools 0-max_label, true if the label should be refined.
        */
      void
      setRefineLabels (std::vector<bool>& refine_labels)
      {
        refine_labels_ = pcl::make_shared<std::vector<bool> >(refine_labels);
      }
 
      /** \brief A mapping from label to index in the vector of models, allowing the model coefficients of a label to be accessed.
        * \param[in] label_to_model A vector of size max_label, with the index of each corresponding model in models
        */
      inline void
      setLabelToModel (shared_ptr<std::vector<int> >& label_to_model)
      {
        label_to_model_ = label_to_model;
      }
 
      /** \brief A mapping from label to index in the vector of models, allowing the model coefficients of a label to be accessed.
        * \param[in] label_to_model A vector of size max_label, with the index of each corresponding model in models
        */
      inline void
      setLabelToModel (std::vector<int>& label_to_model)
      {
        label_to_model_ = pcl::make_shared<std::vector<int> >(label_to_model);
      }
 
      /** \brief Get the vector of model coefficients to which we will compare. */
      inline shared_ptr<std::vector<pcl::ModelCoefficients> >
      getModelCoefficients () const
      {
        return (models_);
      }
 
      /** \brief ...
        * \param[in] labels
        */
      inline void
      setLabels (PointCloudLPtr& labels)
      {
        labels_ = labels;
      }
 
      /** \brief Compare two neighboring points
        * \param[in] idx1 The index of the first point.
        * \param[in] idx2 The index of the second point.
        */
      bool
      compare (int idx1, int idx2) const override
      {
        int current_label = (*labels_)[idx1].label;
        int next_label = (*labels_)[idx2].label;
 
        if (!((*refine_labels_)[current_label] && !(*refine_labels_)[next_label]))
          return (false);
 
        const pcl::ModelCoefficients& model_coeff = (*models_)[(*label_to_model_)[current_label]];
 
        PointT pt = (*input_)[idx2];
        double ptp_dist = std::fabs (model_coeff.values[0] * pt.x +
                                model_coeff.values[1] * pt.y +
                                model_coeff.values[2] * pt.z +
                                model_coeff.values[3]);
 
        // depth dependent
        float threshold = distance_threshold_;
        if (depth_dependent_)
        {
          //Eigen::Vector4f origin = input_->sensor_origin_;
          Eigen::Vector3f vec = (*input_)[idx1].getVector3fMap ();// - origin.head<3> ();
 
          float z = vec.dot (z_axis_);
          threshold *= z * z;
        }
 
        return (ptp_dist < threshold);
      }
 
    protected:
      shared_ptr<std::vector<pcl::ModelCoefficients> > models_;
      PointCloudLPtr labels_;
      shared_ptr<std::vector<bool> > refine_labels_;
      shared_ptr<std::vector<int> > label_to_model_;
      bool depth_dependent_;
      using PlaneCoefficientComparator<PointT, PointNT>::z_axis_;
  };
}