point_cloud_xyzi_radial.cpp

Go to the documentation of this file.

/*********************************************************************
 * Software License Agreement (BSD License)
 * 
 *  Copyright (c) 2008, Willow Garage, Inc.
 *  All rights reserved.
 * 
 *  Redistribution and use in source and binary forms, with or without
 *  modification, are permitted provided that the following conditions
 *  are met:
 * 
 *   * Redistributions of source code must retain the above copyright
 *     notice, this list of conditions and the following disclaimer.
 *   * Redistributions in binary form must reproduce the above
 *     copyright notice, this list of conditions and the following
 *     disclaimer in the documentation and/or other materials provided
 *     with the distribution.
 *   * Neither the name of the Willow Garage nor the names of its
 *     contributors may be used to endorse or promote products derived
 *     from this software without specific prior written permission.
 * 
 *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
 *  "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 *  LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
 *  FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
 *  COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
 *  INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
 *  BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 *  LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 *  CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
 *  LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
 *  ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 *  POSSIBILITY OF SUCH DAMAGE.
 *********************************************************************/
#include <ros/ros.h>
#include <nodelet/nodelet.h>
#include <image_transport/image_transport.h>
#include <sensor_msgs/image_encodings.h>
#include <image_transport/subscriber_filter.h>
#include <message_filters/subscriber.h>
#include <message_filters/synchronizer.h>
#include <message_filters/sync_policies/exact_time.h>
#include <image_geometry/pinhole_camera_model.h>
#include <boost/thread.hpp>
#include <depth_image_proc/depth_traits.h>

#include <sensor_msgs/point_cloud2_iterator.h>

namespace depth_image_proc {

    using namespace message_filters::sync_policies;
    namespace enc = sensor_msgs::image_encodings;
    typedef ExactTime<sensor_msgs::Image, sensor_msgs::Image, sensor_msgs::CameraInfo> SyncPolicy;

    class PointCloudXyziRadialNodelet : public nodelet::Nodelet
    {
        ros::NodeHandlePtr intensity_nh_;

        // Subscriptions
        boost::shared_ptr<image_transport::ImageTransport> intensity_it_, depth_it_;
        image_transport::SubscriberFilter sub_depth_, sub_intensity_;
        message_filters::Subscriber<sensor_msgs::CameraInfo> sub_info_;

        int queue_size_;

        // Publications
        boost::mutex connect_mutex_;
        typedef sensor_msgs::PointCloud2 PointCloud;
        ros::Publisher pub_point_cloud_;

        
        typedef message_filters::Synchronizer<SyncPolicy> Synchronizer;
        boost::shared_ptr<Synchronizer> sync_;

        std::vector<double> D_;
        boost::array<double, 9> K_;
  
        int width_;
        int height_;

        cv::Mat transform_;
  
        virtual void onInit();

        void connectCb();

        void imageCb(const sensor_msgs::ImageConstPtr& depth_msg,
                     const sensor_msgs::ImageConstPtr& intensity_msg_in,
                     const sensor_msgs::CameraInfoConstPtr& info_msg);

        // Handles float or uint16 depths
        template<typename T>
        void convert_depth(const sensor_msgs::ImageConstPtr& depth_msg, PointCloud::Ptr& cloud_msg);

        template<typename T>
        void convert_intensity(const sensor_msgs::ImageConstPtr &inten_msg, PointCloud::Ptr& cloud_msg);

        cv::Mat initMatrix(cv::Mat cameraMatrix, cv::Mat distCoeffs, int width, int height, bool radial);

    };

    cv::Mat PointCloudXyziRadialNodelet::initMatrix(cv::Mat cameraMatrix, cv::Mat distCoeffs, int width, int height, bool radial)
    {
        int i,j;
        int totalsize = width*height;
        cv::Mat pixelVectors(1,totalsize,CV_32FC3);
        cv::Mat dst(1,totalsize,CV_32FC3);

        cv::Mat sensorPoints(cv::Size(height,width), CV_32FC2);
        cv::Mat undistortedSensorPoints(1,totalsize, CV_32FC2);

        std::vector<cv::Mat> ch;
        for(j = 0; j < height; j++)
        {
            for(i = 0; i < width; i++)
            {
                cv::Vec2f &p = sensorPoints.at<cv::Vec2f>(i,j);
                p[0] = i;
                p[1] = j;
            }
        }

        sensorPoints = sensorPoints.reshape(2,1);

        cv::undistortPoints(sensorPoints, undistortedSensorPoints, cameraMatrix, distCoeffs);

        ch.push_back(undistortedSensorPoints);
        ch.push_back(cv::Mat::ones(1,totalsize,CV_32FC1));
        cv::merge(ch,pixelVectors);

        if(radial)
        {
            for(i = 0; i < totalsize; i++)
            {
                normalize(pixelVectors.at<cv::Vec3f>(i),
                          dst.at<cv::Vec3f>(i));
            }
            pixelVectors = dst;
        }
        return pixelVectors.reshape(3,width);
    }
  

    void PointCloudXyziRadialNodelet::onInit()
    {
        ros::NodeHandle& nh         = getNodeHandle();
        ros::NodeHandle& private_nh = getPrivateNodeHandle();

        intensity_nh_.reset( new ros::NodeHandle(nh, "intensity") );
        ros::NodeHandle depth_nh(nh, "depth");
        intensity_it_  .reset( new image_transport::ImageTransport(*intensity_nh_) );
        depth_it_.reset( new image_transport::ImageTransport(depth_nh) );

        // Read parameters
        private_nh.param("queue_size", queue_size_, 5);

        // Synchronize inputs. Topic subscriptions happen on demand in the connection callback.
        sync_.reset( new Synchronizer(SyncPolicy(queue_size_), sub_depth_, sub_intensity_, sub_info_) );
        sync_->registerCallback(boost::bind(&PointCloudXyziRadialNodelet::imageCb, this, _1, _2, _3));
    
        // Monitor whether anyone is subscribed to the output
        ros::SubscriberStatusCallback connect_cb = 
            boost::bind(&PointCloudXyziRadialNodelet::connectCb, this);
        // Make sure we don't enter connectCb() between advertising and assigning to pub_point_cloud_
        boost::lock_guard<boost::mutex> lock(connect_mutex_);
        pub_point_cloud_ = nh.advertise<PointCloud>("points", 20, connect_cb, connect_cb);
    }

    // Handles (un)subscribing when clients (un)subscribe
    void PointCloudXyziRadialNodelet::connectCb()
    {
        boost::lock_guard<boost::mutex> lock(connect_mutex_);

        if (pub_point_cloud_.getNumSubscribers() == 0)
        {
            sub_depth_.unsubscribe();
            sub_intensity_.unsubscribe();
            sub_info_.unsubscribe();
        }
        else if (!sub_depth_.getSubscriber())
        {
            ros::NodeHandle& private_nh = getPrivateNodeHandle();
            // parameter for depth_image_transport hint
            std::string depth_image_transport_param = "depth_image_transport";
        
            // depth image can use different transport.(e.g. compressedDepth)
            image_transport::TransportHints depth_hints("raw",ros::TransportHints(), private_nh, depth_image_transport_param);
            sub_depth_.subscribe(*depth_it_, "image_raw",       5, depth_hints);
        
            // intensity uses normal ros transport hints.
            image_transport::TransportHints hints("raw", ros::TransportHints(), private_nh);
            sub_intensity_.subscribe(*intensity_it_,   "image_raw", 5, hints);
            sub_info_.subscribe(*intensity_nh_,   "camera_info",      5);
        }
    }

    void PointCloudXyziRadialNodelet::imageCb(const sensor_msgs::ImageConstPtr& depth_msg,
                                              const sensor_msgs::ImageConstPtr& intensity_msg,
                                              const sensor_msgs::CameraInfoConstPtr& info_msg)
    {
        PointCloud::Ptr cloud_msg(new PointCloud);
        cloud_msg->header = depth_msg->header;
        cloud_msg->height = depth_msg->height;
        cloud_msg->width  = depth_msg->width;
        cloud_msg->is_dense = false;
        cloud_msg->is_bigendian = false;

        sensor_msgs::PointCloud2Modifier pcd_modifier(*cloud_msg);
        pcd_modifier.setPointCloud2Fields(4,
                                          "x", 1, sensor_msgs::PointField::FLOAT32,
                                          "y", 1, sensor_msgs::PointField::FLOAT32,
                                          "z", 1, sensor_msgs::PointField::FLOAT32,
                                          "intensity", 1, sensor_msgs::PointField::FLOAT32);


        if(info_msg->D != D_ || info_msg->K != K_ || width_ != info_msg->width ||
           height_ != info_msg->height)
        {
            D_ = info_msg->D;
            K_ = info_msg->K;
            width_ = info_msg->width;
            height_ = info_msg->height;
            transform_ = initMatrix(cv::Mat_<double>(3, 3, &K_[0]),cv::Mat(D_),width_,height_,true);
        }

        if (depth_msg->encoding == enc::TYPE_16UC1)
        {
            convert_depth<uint16_t>(depth_msg, cloud_msg);
        }
        else if (depth_msg->encoding == enc::TYPE_32FC1)
        {
            convert_depth<float>(depth_msg, cloud_msg);
        }
        else
        {
            NODELET_ERROR_THROTTLE(5, "Depth image has unsupported encoding [%s]", depth_msg->encoding.c_str());
            return;
        }

        if(intensity_msg->encoding == enc::TYPE_16UC1)
        {
            convert_intensity<uint16_t>(intensity_msg, cloud_msg);

        }
        else if(intensity_msg->encoding == enc::MONO8)
        {
            convert_intensity<uint8_t>(intensity_msg, cloud_msg);
        }
        else if(intensity_msg->encoding == enc::TYPE_32FC1)
        {
            convert_intensity<float>(intensity_msg, cloud_msg);
        }
        else
        {
            NODELET_ERROR_THROTTLE(5, "Intensity image has unsupported encoding [%s]", intensity_msg->encoding.c_str());
            return;
        }

        pub_point_cloud_.publish (cloud_msg);
    }

    template<typename T>
    void PointCloudXyziRadialNodelet::convert_depth(const sensor_msgs::ImageConstPtr& depth_msg,
                                                    PointCloud::Ptr& cloud_msg)
    {
        // Combine unit conversion (if necessary) with scaling by focal length for computing (X,Y)
        double unit_scaling = DepthTraits<T>::toMeters( T(1) );
        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))
                {
                    *iter_x = *iter_y = *iter_z = bad_point;
                    continue;
                }
                const cv::Vec3f &cvPoint = transform_.at<cv::Vec3f>(u,v) * DepthTraits<T>::toMeters(depth);
                // Fill in XYZ
                *iter_x = cvPoint(0);
                *iter_y = cvPoint(1);
                *iter_z = cvPoint(2);
            }
        }
    }

    template<typename T>
    void PointCloudXyziRadialNodelet::convert_intensity(const sensor_msgs::ImageConstPtr& intensity_msg,
                                                        PointCloud::Ptr& cloud_msg)
    {
        sensor_msgs::PointCloud2Iterator<float> iter_i(*cloud_msg, "intensity");
        const T* inten_row = reinterpret_cast<const T*>(&intensity_msg->data[0]);

        const int i_row_step = intensity_msg->step/sizeof(T);
        for (int v = 0; v < (int)cloud_msg->height; ++v, inten_row += i_row_step)
        {
            for (int u = 0; u < (int)cloud_msg->width; ++u, ++iter_i)
            {
                *iter_i = inten_row[u];
            }
        }
    }

} // namespace depth_image_proc

// Register as nodelet
#include <pluginlib/class_list_macros.h>
PLUGINLIB_EXPORT_CLASS(depth_image_proc::PointCloudXyziRadialNodelet,nodelet::Nodelet);