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CPCtoOCRegistration.cpp

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/******************************************************************************
 * \file
 *
 * $Id:$
 *
 * Copyright (C) Brno University of Technology
 *
 * This file is part of software developed by dcgm-robotics@FIT group.
 *
 * Author: Vit Stancl (stancl@fit.vutbr.cz)
 * Supervised by: Michal Spanel (spanel@fit.vutbr.cz)
 * Date: 25/1/2012
 *
 * This file is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This file is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with this file.  If not, see <http://www.gnu.org/licenses/>.
 */

#include <srs_env_model/but_server/registration/CPCtoOCRegistration.h>


#include <srs_env_model/but_server/registration/pcl_registration_module.h>
#include <srs_env_model/topics_list.h>
#include <pcl_ros/transforms.h>
#include <pcl/io/io.h>


srs_env_model::COcPatchMaker::COcPatchMaker()
: m_bTransformCamera( false )
, m_pcFrameId("/map")
, m_bSpinThread( false )
, m_bCamModelInitialized(false)
, m_camera_stereo_offset_left(0)
, m_camera_stereo_offset_right(0)
, m_bPublishCloud(false)
, m_fracX(1.5)
, m_fracY(1.5)
{

}

void srs_env_model::COcPatchMaker::init(ros::NodeHandle & node_handle)
{
        ROS_DEBUG("Initializing CCompressedPointCloudPlugin");

        if ( m_bSpinThread )
        {
                // if we're spinning our own thread, we'll also need our own callback queue
                node_handle.setCallbackQueue( &callback_queue_ );

                need_to_terminate_ = false;
                spin_thread_.reset( new boost::thread(boost::bind(&COcPatchMaker::spinThread, this)) );
                node_handle_ = node_handle;
        }

        // Read parameters
        {
                // Where to get camera position information
                node_handle.param("camera_info_topic_name", m_cameraInfoTopic, CPC_CAMERA_INFO_PUBLISHER_NAME );
        }


        // Subscribe to position topic
        // Create subscriber
        m_camPosSubscriber = node_handle.subscribe<sensor_msgs::CameraInfo>( m_cameraInfoTopic, 10, &srs_env_model::COcPatchMaker::onCameraChangedCB, this );

        if (!m_camPosSubscriber)
        {
                ROS_ERROR("Not subscribed...");
                ROS_ERROR( "Cannot subscribe to the camera position publisher..." );
        }

        // stereo cam params for sensor cone:
//      node_handle.param<int> ("compressed_pc_camera_stereo_offset_left", m_camera_stereo_offset_left, 0); // 128
//      node_handle.param<int> ("compressed_pc_camera_stereo_offset_right", m_camera_stereo_offset_right, 0);

        node_handle.param("registration_patch_view_fraction_x", m_fracX, m_fracX );
        node_handle.param("registration_patch_view_fraction_y", m_fracY, m_fracY );

        node_handle.param("registration_patch_publish_cloud", m_bPublishCloud, m_bPublishCloud );

        if( m_bPublishCloud )
                // Create publisher - simple point cloud
                m_pubConstrainedPC = node_handle.advertise<sensor_msgs::PointCloud2> (REGISTRATION_CONSTRAINED_CLOUD_PUBLISHER_NAME, 5, false);

}

bool srs_env_model::COcPatchMaker::computeCloud( const SMapWithParameters & par, const ros::Time & time )
{
        ROS_DEBUG( "CCompressedPointCloudPlugin: onFrameStart" );

        // Copy buffered camera normal and d parameter
        boost::recursive_mutex::scoped_lock lock( m_camPosMutex );

        // Clear data
        m_cloud.clear();
        m_ocFrameId = par.frameId;
        m_DataTimeStamp = m_time_stamp = time;

        bool bTransformOutput = m_ocFrameId != m_pcFrameId;

        // Output transform matrix
        Eigen::Matrix4f pcOutTM;

        // If different frame id
        if( bTransformOutput )
        {
                tf::StampedTransform ocToPcTf;

                // Get transform
                try {
                        // Transformation - to, from, time, waiting time
                        m_tfListener.waitForTransform(m_pcFrameId, m_ocFrameId,
                                        m_time_stamp, ros::Duration(5));

                        m_tfListener.lookupTransform(m_pcFrameId, m_ocFrameId,
                                        m_time_stamp, ocToPcTf);

                } catch (tf::TransformException& ex) {
                        ROS_ERROR_STREAM("Transform error: " << ex.what() << ", quitting callback");
                        ROS_ERROR_STREAM( "Transform error.");
                        return false;
                }


                // Get transformation matrix
                pcl_ros::transformAsMatrix(ocToPcTf, pcOutTM);  // Sensor TF to defined base TF

        }

        if( m_cameraFrameId.size() == 0 )
        {
                ROS_ERROR_STREAM("Wrong camera frame id...");
                m_bTransformCamera = false;
                return false;
        }

        m_bTransformCamera = m_cameraFrameId != m_ocFrameId;


        // Store camera information
        m_camera_size = m_camera_size_buffer;
        m_camera_model.fromCameraInfo( m_camera_info_buffer);

        // Transform camera model to the cloud time and frame id
        {
                tf::StampedTransform camTf;

                // Modify camera position to the current time
                if( m_bTransformCamera )
                {
                        // We need camera to octomap transfor
                        try {
                                        // Transformation - to, from, time, waiting time
                        //      std::cerr << "T1, try to get transform from " << m_cameraFrameId << " to " << m_ocFrameId << ", time: " << par.currentTime << std::endl;
                                        m_tfListener.waitForTransform(m_ocFrameId, m_cameraFrameId,
                                                        m_time_stamp, ros::Duration(5.0));

                                        m_tfListener.lookupTransform(m_ocFrameId, m_cameraFrameId,
                                                        m_time_stamp, camTf);

                                } catch (tf::TransformException& ex) {
                                        ROS_ERROR_STREAM("Transform error1: " << ex.what() << ", quitting callback");
                                        return false;
                                }

                }
                else
                {
                        // Just move camera position "in time"
                        try {
                                        // Time transformation - target frame, target time, source frame, source time, fixed frame, time, waiting time
                                        m_tfListener.waitForTransform(m_cameraFrameId, m_time_stamp,
                                                                                                  m_cameraFrameId, m_camera_info_buffer.header.stamp,
                                                                                                  "/map", ros::Duration(1.0));

                                        m_tfListener.lookupTransform( m_cameraFrameId, m_time_stamp,
                                                                                                  m_cameraFrameId, m_camera_info_buffer.header.stamp,
                                                                                                  "/map", camTf);

                                } catch (tf::TransformException& ex) {
                                        ROS_ERROR_STREAM("Transform error2: " << ex.what() << ", quitting callback");
                                        return false;
                                }
                }

                // We have transform so convert it to the eigen matrix
                m_to_sensorTf = camTf.inverse();
        }

        // Initialize leaf iterators
        tButServerOcTree & tree( par.map->getTree() );
        srs_env_model::tButServerOcTree::leaf_iterator it, itEnd( tree.end_leafs() );

        // Compute fraction matrix
    m_fracMatrix = btMatrix3x3::getIdentity().scaled( tf::Point( 1.0 / m_fracX, 1.0 / m_fracY, 1.0 ) );

        // Crawl through nodes
        for ( it = tree.begin_leafs(par.treeDepth); it != itEnd; ++it)
        {
                // Node is occupied?
                if (tree.isNodeOccupied(*it))
                {
                        handleOccupiedNode(it, par);
                }// Node is occupied?

        } // Iterate through octree

        if( bTransformOutput )
        {
                // transform point cloud from octomap frame to the preset frame
                pcl::transformPointCloud< tPclPoint >(m_cloud, m_cloud, pcOutTM);
        }

        if( m_bPublishCloud )
                publishInternal( m_DataTimeStamp );

        return true;
}

void srs_env_model::COcPatchMaker::handleOccupiedNode(srs_env_model::tButServerOcTree::iterator& it, const SMapWithParameters & mp)
{
//      PERROR("OnHandleOccupied");

        if( ! m_bCamModelInitialized )
                return;

        // Test input point
        tf::Point pos(it.getX(), it.getY(), it.getZ());
//      if( m_bTransformCamera )
        pos = m_to_sensorTf(pos);

        pos = pos * m_fracMatrix;

        if( pos.z() < 0 )
                return;

        cv::Point2d uv = m_camera_model.project3dToPixel(cv::Point3d( pos.x(), pos.y(), pos.z()));

        // ignore point if not in sensor cone
        if (!inSensorCone(uv))
                return;

        // Ok, add it...
        //      std::cerr << "PCP: handle occupied" << std::endl;
        tPclPoint point;

        // Set position
        point.x = it.getX();
        point.y = it.getY();
        point.z = it.getZ();

        // Set color
        point.r = it->r();
        point.g = it->g();
        point.b = it->b();

//      std::cerr << "Occupied node r " << (int)point.r << ", g " << (int)point.g << ", b " << (int)point.b << std::endl;

        m_cloud.push_back( point );
}

void srs_env_model::COcPatchMaker::onCameraChangedCB(const sensor_msgs::CameraInfo::ConstPtr &cam_info)
{
        boost::recursive_mutex::scoped_lock lock( m_camPosMutex );

        //PERROR("OnCameraChange.");

        //      ROS_DEBUG( "CCompressedPointCloudPlugin: onCameraChangedCB" );

        // Set camera position frame id
        m_cameraFrameId = cam_info->header.frame_id;


        ROS_DEBUG("COcToPcl: Set camera info: %d x %d\n", cam_info->height, cam_info->width);
        m_camera_model_buffer.fromCameraInfo(*cam_info);
        m_camera_size_buffer = m_camera_model_buffer.fullResolution();

        // Set flag
        m_bCamModelInitialized = true;

        m_camera_info_buffer = *cam_info;
}


bool srs_env_model::COcPatchMaker::inSensorCone(const cv::Point2d& uv) const
{
        const double x_offset( 0.0 ), y_offset( 0.0 );

        //PERROR( uv.y <<       " > " << 1 << " && " << uv.y << " < " << m_camera_size.height - 2 );
        // Check if projected 2D coordinate in pixel range.
                // This check is a little more restrictive than it should be by using
                // 1 pixel less to account for rounding / discretization errors.
                // Otherwise points on the corner are accounted to be in the sensor cone.
                bool rv((uv.x > m_camera_stereo_offset_left + 1 - x_offset) &&
                                (uv.x < m_camera_size.width + m_camera_stereo_offset_right - 2 + x_offset) &&
                                (uv.y > 1 - y_offset) &&
                                (uv.y < m_camera_size.height - 2 + y_offset));

                if( ! rv )
                {
//                      std::cerr << uv.x << ", "  << uv.y << " > " << m_camera_size.width << ", "  << m_camera_size.height << std::endl;
                }

                return rv;
}

void srs_env_model::COcPatchMaker::spinThread()
{
        while (node_handle_.ok())
                {
                        if (need_to_terminate_)
                        {
                                break;
                        }
                        callback_queue_.callAvailable(ros::WallDuration(0.033f));
                }
}

void srs_env_model::COcPatchMaker::publishInternal(const ros::Time & timestamp)
{
        // Convert data
        sensor_msgs::PointCloud2 msg;
        pcl::toROSMsg< tPclPoint >(m_cloud, msg);

        // Set message parameters and publish
        msg.header.frame_id = m_pcFrameId;
        msg.header.stamp = m_cloud.header.stamp;

        // Publish data
        m_pubConstrainedPC.publish( msg );
}

//=============================================================================
//      CPcToOcRegistration
//=============================================================================

srs_env_model::CPcToOcRegistration::CPcToOcRegistration()
: m_resampledCloud( new sensor_msgs::PointCloud2 () )
{

}

void srs_env_model::CPcToOcRegistration::init(ros::NodeHandle & node_handle)
{
        // Initialize modules
        m_patchMaker.init( node_handle );
        m_registration.init( node_handle );
}

bool srs_env_model::CPcToOcRegistration::registerCloud( tPointCloudPtr & cloud, const SMapWithParameters & map )
{
        if( !m_registration.isRegistering() )
        {
                ROS_ERROR( "No registration method selected." );
                return false;
        }

//      std::cerr << "Reg start" << std::endl;

        // Get patch
        m_patchMaker.setCloudFrameId( map.frameId );
        m_patchMaker.computeCloud( map, cloud->header.stamp );

        if( m_patchMaker.getCloud().size() == 0 )
                return false;

        // Resample input cloud
        sensor_msgs::PointCloud2::Ptr cloudMsg(new sensor_msgs::PointCloud2 ());

        pcl::toROSMsg( *cloud, *cloudMsg);
//      std::cerr << "Patch size: " << m_patchMaker.getCloud().size() << ", " << cloudMsg->data.size() << std::endl;

        m_gridFilter.setInputCloud( cloudMsg );
        m_gridFilter.setLeafSize( map.resolution, map.resolution, map.resolution );
        m_gridFilter.filter( *m_resampledCloud );

//      std::cerr << "Voxel grid size: " << m_resampledCloud->data.size() << std::endl;

        // Try to register cloud
        tPointCloudPtr cloudSource( new tPointCloud() );
        tPointCloudPtr cloudBuffer( new tPointCloud() );
        tPointCloudPtr cloudTarget( new tPointCloud() );
        pcl::fromROSMsg( *m_resampledCloud, *cloudSource );
        pcl::copyPointCloud( m_patchMaker.getCloud(), *cloudTarget );

//      std::cerr << "Calling registration: " << cloudSource->size() << ", " << cloudTarget->size() << std::endl;

        bool rv( m_registration.process( cloudSource, cloudTarget, cloudBuffer ) );

        if( ! rv )
                std::cerr << "Registration failed" << std::endl;

        return rv;
}

---

srs_env_model
Author(s): Vit Stancl (stancl@fit.vutbr.cz), Tomas Lokaj, Jan Gorig, Michal Spanel (spanel@fit.vutbr.cz)
autogenerated on Tue Mar 5 14:32:39 2013