cluster_point_indices_decomposer_z_axis_nodelet.cpp

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#include "jsk_pcl_ros/cluster_point_indices_decomposer_z_axis.h"
#include <pluginlib/class_list_macros.h>
#include <pcl/filters/extract_indices.h>

#include <pcl/common/centroid.h>

namespace jsk_pcl_ros
{
  void ClusterPointIndicesDecomposerZAxis::sortIndicesOrder
  (pcl::PointCloud<pcl::PointXYZ>::Ptr input,
   std::vector<pcl::IndicesPtr> indices_array,
   std::vector<pcl::IndicesPtr> &output_array)
  {
    output_array.resize(indices_array.size());
    std::vector<double> z_values;
    pcl::ExtractIndices<pcl::PointXYZ> ex;
    ex.setInputCloud(input);
    for (size_t i = 0; i < indices_array.size(); i++)
    {
      Eigen::Vector4f center;
      ex.setIndices(indices_array[i]);
      pcl::PointCloud<pcl::PointXYZ>::Ptr tmp(new pcl::PointCloud<pcl::PointXYZ>);
      ex.filter(*tmp);
      pcl::compute3DCentroid(*tmp, center);
      z_values.push_back(center[2]); // only focus on z value
    }
    
    // sort centroids
    for (size_t i = 0; i < indices_array.size(); i++)
    {
      size_t minimum_index = 0;
      double minimum_value = DBL_MAX;
      for (size_t j = 0; j < indices_array.size(); j++)
      {
        if (z_values[j] < minimum_value)
        {
          minimum_value = z_values[j];
          minimum_index = j;
        }
      }
      // JSK_ROS_INFO("%lu => %lu", i, minimum_index);
      output_array[i] = indices_array[minimum_index];
      z_values[minimum_index] = DBL_MAX;
    }
  }
}


PLUGINLIB_EXPORT_CLASS (jsk_pcl_ros::ClusterPointIndicesDecomposerZAxis,
                         nodelet::Nodelet);