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depth2cloud.cpp

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#include <message_filters/subscriber.h>
#include <message_filters/synchronizer.h>
#include <message_filters/sync_policies/approximate_time.h>
#include <sensor_msgs/Image.h>
#include <sensor_msgs/CameraInfo.h>
#include <sensor_msgs/PointCloud2.h>
#include <string>
#include <ros/ros.h>

//this is a global definition of the points to be used
//changes to omit color would need adaptations in 
//the visualization too
#include <pcl/io/io.h>
#include "pcl/point_cloud.h"
#include "pcl/point_types.h"
namespace sm = sensor_msgs;
namespace mf = message_filters;
typedef pcl::PointXYZ point_type;
typedef pcl::PointCloud<point_type> pointcloud_type;
typedef mf::sync_policies::ApproximateTime<sm::Image, sm::CameraInfo> NoCloudSyncPolicy;

pointcloud_type* createPointCloud (const sm::ImageConstPtr& depth_msg, 
                                   const sm::CameraInfoConstPtr& cam_info) 
{
  pointcloud_type* cloud (new pointcloud_type() );
  cloud->header.stamp     = depth_msg->header.stamp;
  cloud->header.frame_id  = depth_msg->header.frame_id;
  cloud->is_dense         = true; //single point of view, 2d rasterized

  float cx, cy, fx, fy;//principal point and focal lengths

  cloud->height = depth_msg->height;
  cloud->width = depth_msg->width;
  cx = cam_info->K[2]; //(cloud->width >> 1) - 0.5f;
  cy = cam_info->K[5]; //(cloud->height >> 1) - 0.5f;
  fx = 1.0f / cam_info->K[0]; 
  fy = 1.0f / cam_info->K[4]; 

  cloud->points.resize (cloud->height * cloud->width);

  const float* depth_buffer = reinterpret_cast<const float*>(&depth_msg->data[0]);

  int depth_idx = 0;

  pointcloud_type::iterator pt_iter = cloud->begin ();
  for (int v = 0; v < (int)cloud->height; ++v)
  {
    for (int u = 0; u < (int)cloud->width; ++u, ++depth_idx, ++pt_iter)
    {
      point_type& pt = *pt_iter;
      float Z = depth_buffer[depth_idx];

      // Check for invalid measurements
      if (std::isnan (Z))
      {
        pt.x = pt.y = pt.z = Z;
      }
      else // Fill in XYZ
      {
        pt.x = (u - cx) * Z * fx;
        pt.y = (v - cy) * Z * fy;
        pt.z = Z;
      }

    }
  }

  return cloud;
}


void depth_callback(const sm::ImageConstPtr& dimage, 
                    const sm::CameraInfoConstPtr& cam_info,
                    ros::Publisher* cloud_pub)
{
  pointcloud_type* pc = createPointCloud(dimage, cam_info);
  sm::PointCloud2 cloudMessage;
  pcl::toROSMsg(*pc,cloudMessage);
  cloud_pub->publish(cloudMessage);
  delete pc;
}

int main(int argc, char** argv)
{
  ros::init(argc, argv, "depth2cloud");
  ros::NodeHandle nh;
  ros::Publisher pc_pub = nh.advertise<sm::PointCloud2>("cloud_out", 10);
  ROS_INFO("To reconstruct point clouds from openni depth images call this tool as follows:\nrosrun depth2cloud depth2cloud depth_image:=/camera/depth/image camera_info:=/camera/depth/camera_info");

  //Subscribers
  mf::Subscriber<sm::Image> depth_sub(nh, "depth_image", 2);
  mf::Subscriber<sm::CameraInfo> info_sub(nh, "camera_info", 5);

  //Syncronize depth and calibration
  mf::Synchronizer<NoCloudSyncPolicy> no_cloud_sync(NoCloudSyncPolicy(2), depth_sub, info_sub);
  no_cloud_sync.registerCallback(boost::bind(&depth_callback, _1, _2, &pc_pub));

  ros::spin();
  return 0;
}

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rgbd2cloud
Author(s): Felix Endres
autogenerated on Tue Mar 5 12:01:40 2013