heightmap_utils.h

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// -*- mode: c++ -*-
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#ifndef JSK_PCL_ROS_HEIGHTMAP_UTILS_H_
#define JSK_PCL_ROS_HEIGHTMAP_UTILS_H_
 
#include <jsk_recognition_msgs/HeightmapConfig.h>
#include "jsk_recognition_utils/pcl_conversion_util.h"
 
namespace jsk_pcl_ros
{
  typedef pcl::PointXYZI HeightMapPointType;
 
  inline std::string getHeightmapConfigTopic(const std::string& base_topic)
  {
    return base_topic + "/config";
  }
 
  inline void convertHeightMapToPCL(const cv::Mat &float_image,
                                   pcl::PointCloud<HeightMapPointType > &cloud,
                                   float max_x_, float min_x_, float max_y_, float min_y_)
  {
    int height = float_image.rows;
    int width  = float_image.cols;
    cloud.points.reserve(float_image.rows * float_image.cols); // normal
    double dx = (max_x_ - min_x_) / width;
    double dy = (max_y_ - min_y_) / height;
    for (size_t j = 0; j < height; j++) {
      for (size_t i = 0; i < width; i++) {
        float v = float_image.at<cv::Vec2f>(j, i)[0];
        float fint = float_image.at<cv::Vec2f>(j, i)[1];
        if (v != -FLT_MAX) {
          HeightMapPointType p;
          p.y = j * dy + min_y_ + dy / 2.0;
          p.x = i * dx + min_x_ + dx / 2.0;
          p.z = v;
          p.intensity = fint;
          cloud.points.push_back(p); // normal
        }
      }
    }
  }
 
  inline void convertHeightMapToPCLOrganize(const cv::Mat &float_image,
                                           pcl::PointCloud<HeightMapPointType > &cloud,
                                           float max_x_, float min_x_, float max_y_, float min_y_)
  {
    int height = float_image.rows;
    int width  = float_image.cols;
    cloud.points.resize(height * width); // organized
    cloud.width  = width;
    cloud.height = height;
    double dx = (max_x_ - min_x_) / width;
    double dy = (max_y_ - min_y_) / height;
    for (size_t j = 0; j < height; j++) {
      for (size_t i = 0; i < width; i++) {
        float v = float_image.at<cv::Vec2f>(j, i)[0];
        float fint = float_image.at<cv::Vec2f>(j, i)[1];
        HeightMapPointType p;
        p.x = p.y = p.z = std::numeric_limits<float>::quiet_NaN(); // organized
        if (v != -FLT_MAX) {
          p.y = j * dy + min_y_ + dy / 2.0;
          p.x = i * dx + min_x_ + dx / 2.0;
          p.z = v;
          p.intensity = fint;
        }
        cloud.points[(j * width) + i] = p; // organized
      }
    }
  }
}
 
#endif