point_cloud_conversions.h

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/*
Copyright (c) 2010--2012,
François Pomerleau and Stephane Magnenat, ASL, ETHZ, Switzerland
You can contact the authors at <f dot pomerleau at gmail dot com> and
<stephane at magnenat dot net>
All rights reserved.
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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 <organization> nor the
      names of its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.
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 * point_cloud_conversions.h -> Modification
 *
 *      Author: roberto
 *
 * This is a modified implementation of the method for online estimation of kinematic structures described in our paper
 * "Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors"
 * (Martín-Martín and Brock, 2014) and the extension to segment, reconstruct and track shapes introduced in our paper
 * "An Integrated Approach to Visual Perception of Articulated Objects" (Martín-Martín, Höfer and Brock, 2016)
 * This implementation can be used to reproduce the results of the paper and to be applied to new research.
 * The implementation allows also to be extended to perceive different information/models or to use additional sources of information.
 * A detail explanation of the method and the system can be found in our paper.
 *
 * If you are using this implementation in your research, please consider citing our work:
 *
@inproceedings{martinmartin_ip_iros_2014,
Title = {Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors},
Author = {Roberto {Mart\'in-Mart\'in} and Oliver Brock},
Booktitle = {Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems},
Pages = {2494-2501},
Year = {2014},
Location = {Chicago, Illinois, USA},
Note = {http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/martinmartin_ip_iros_2014.pdf},
Url = {http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/martinmartin_ip_iros_2014.pdf},
Projectname = {Interactive Perception}
}

@inproceedings{martinmartin_hoefer_iros_2016,
Title = {An Integrated Approach to Visual Perception of Articulated Objects},
Author = {Roberto {Mart\'{i}n-Mart\'{i}n} and Sebastian H\"ofer and Oliver Brock},
Booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation},
Pages = {5091 - 5097},
Year = {2016},
Doi = {10.1109/ICRA.2016.7487714},
Location = {Stockholm, Sweden},
Month = {05},
Note = {http://www.redaktion.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/martin_hoefer_15_iros_sr_opt.pdf},
Url = {http://www.redaktion.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/martin_hoefer_15_iros_sr_opt.pdf},
Url2 = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7487714},
Projectname = {Interactive Perception}
}
 * If you have questions or suggestions, contact us:
 * roberto.martinmartin@tu-berlin.de
 *
 * Enjoy!
 */


#ifndef __POINTMATCHER_ROS_POINT_CLOUD_H
#define __POINTMATCHER_ROS_POINT_CLOUD_H

#include "pointmatcher/PointMatcher.h"
#include "sensor_msgs/PointCloud2.h"
#include "sensor_msgs/LaserScan.h"

namespace ros
{
        struct Time;
};
namespace tf
{
        struct TransformListener;
};

namespace PointMatcher_ros
{
        template<typename T>
        typename PointMatcher<T>::DataPoints rosMsgToPointMatcherCloud(const sensor_msgs::PointCloud2& rosMsg);
        
        template<typename T>
        typename PointMatcher<T>::DataPoints rosMsgToPointMatcherCloud(const sensor_msgs::LaserScan& rosMsg, const tf::TransformListener* listener = 0, const std::string& fixed_frame = "/world", const bool force3D = false, const bool addTimestamps=false);
        
        template<typename T>
        sensor_msgs::PointCloud2 pointMatcherCloudToRosMsg(const typename PointMatcher<T>::DataPoints& pmCloud, const std::string& frame_id, const ros::Time& stamp);
}

#endif //__POINTMATCHER_ROS_POINT_CLOUD_H