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#pragma once

#include <pcl/segmentation/plane_coefficient_comparator.h>

namespace pcl
{
  /** \brief EuclideanPlaneCoefficientComparator 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
    */
  template<typename PointT, typename PointNT>
  class EuclideanPlaneCoefficientComparator: 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 Ptr = shared_ptr<EuclideanPlaneCoefficientComparator<PointT, PointNT> >;
      using ConstPtr = shared_ptr<const EuclideanPlaneCoefficientComparator<PointT, PointNT> >;

      using pcl::Comparator<PointT>::input_;
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::normals_;
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::angular_threshold_;
      using pcl::PlaneCoefficientComparator<PointT, PointNT>::distance_threshold_;
      
      /** \brief Empty constructor for PlaneCoefficientComparator. */
      EuclideanPlaneCoefficientComparator ()
      {
      }

      /** \brief Destructor for PlaneCoefficientComparator. */
      
      ~EuclideanPlaneCoefficientComparator ()
      {
      }

      /** \brief Compare two neighboring points, by using normal information, and euclidean distance information.
        * \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
      {
        float dx = (*input_)[idx1].x - (*input_)[idx2].x;
        float dy = (*input_)[idx1].y - (*input_)[idx2].y;
        float dz = (*input_)[idx1].z - (*input_)[idx2].z;
        float dist = std::sqrt (dx*dx + dy*dy + dz*dz);
        
        return ( (dist < distance_threshold_)
                 && ((*normals_)[idx1].getNormalVector3fMap ().dot ((*normals_)[idx2].getNormalVector3fMap () ) > angular_threshold_ ) );
      }
  };
}
