depth_conversions.h

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#ifndef DEPTH_IMAGE_PROC_DEPTH_CONVERSIONS
#define DEPTH_IMAGE_PROC_DEPTH_CONVERSIONS
 
#include <sensor_msgs/Image.h>
#include <sensor_msgs/point_cloud2_iterator.h>
#include <image_geometry/pinhole_camera_model.h>
#include <depth_image_proc/depth_traits.h>
 
#include <limits>
 
namespace depth_image_proc {
 
typedef sensor_msgs::PointCloud2 PointCloud;
 
// Handles float or uint16 depths
template<typename T>
void convert(
    const sensor_msgs::ImageConstPtr& depth_msg,
    PointCloud::Ptr& cloud_msg,
    const image_geometry::PinholeCameraModel& model,
    double range_max = 0.0)
{
  // Use correct principal point from calibration
  float center_x = model.cx();
  float center_y = model.cy();
 
  // Combine unit conversion (if necessary) with scaling by focal length for computing (X,Y)
  double unit_scaling = DepthTraits<T>::toMeters( T(1) );
  float constant_x = unit_scaling / model.fx();
  float constant_y = unit_scaling / model.fy();
  float bad_point = std::numeric_limits<float>::quiet_NaN();
 
  sensor_msgs::PointCloud2Iterator<float> iter_x(*cloud_msg, "x");
  sensor_msgs::PointCloud2Iterator<float> iter_y(*cloud_msg, "y");
  sensor_msgs::PointCloud2Iterator<float> iter_z(*cloud_msg, "z");
  const T* depth_row = reinterpret_cast<const T*>(&depth_msg->data[0]);
  int row_step = depth_msg->step / sizeof(T);
  for (int v = 0; v < (int)cloud_msg->height; ++v, depth_row += row_step)
  {
    for (int u = 0; u < (int)cloud_msg->width; ++u, ++iter_x, ++iter_y, ++iter_z)
    {
      T depth = depth_row[u];
 
      // Missing points denoted by NaNs
      if (!DepthTraits<T>::valid(depth))
      {
        if (range_max != 0.0)
        {
          depth = DepthTraits<T>::fromMeters(range_max);
        }
        else
        {
          *iter_x = *iter_y = *iter_z = bad_point;
          continue;
        }
      }
 
      // Fill in XYZ
      *iter_x = (u - center_x) * depth * constant_x;
      *iter_y = (v - center_y) * depth * constant_y;
      *iter_z = DepthTraits<T>::toMeters(depth);
    }
  }
}
 
} // namespace depth_image_proc
 
#endif