restructuring perception_pcl in groovy branch

This commit is contained in:
jkammerl
2012-09-14 17:30:20 +00:00
committed by Paul Bovbel
parent cb6e2b0529
commit bcda3321ad
7 changed files with 0 additions and 0 deletions
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cmake_minimum_required(VERSION 2.8)
project(perception_pcl)
# Deal with catkin
find_package(catkin REQUIRED roscpp sensor_msgs tf)
find_package(Boost COMPONENTS system filesystem thread REQUIRED)
find_package(Eigen)
find_package(PCL)
# deal with ROS
include_directories(${catkin_INCLUDE_DIRS} ${Boost_INCLUDE_DIRS} ${Eigen_INCLUDE_DIRS} ${PCL_INCLUDE_DIRS})
include_directories(include)
link_directories(${catkin_LIBRARY_DIRS} ${Boost_LIBRARY_DIRS} ${Eigen_LIBRARY_DIRS} ${PCL_LIBRARY_DIRS})
catkin_stack()
catkin_project(${PROJECT_NAME}
INCLUDE_DIRS include
LIBRARIES pcl_ros_tf
DEPENDS roscpp common_msgs sensor_msgs tf
)
# ---[ Point Cloud Library - Transforms
add_library (pcl_ros_tf SHARED src/transforms.cpp)
target_link_libraries(pcl_ros_tf ${PCL_LIBS} ${Boost_LIBS} ${catkin_LIBS})
install(DIRECTORY include/
DESTINATION ${CATKIN_GLOBAL_INCLUDE_DESTINATION}
)
install(TARGETS pcl_ros_tf
RUNTIME DESTINATION ${CATKIN_PROJECT_BIN_DESTINATION}
ARCHIVE DESTINATION ${CATKIN_PROJECT_LIB_DESTINATION}
LIBRARY DESTINATION ${CATKIN_PROJECT_LIB_DESTINATION}
)
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# - Try to find Eigen3 lib
#
# This module supports requiring a minimum version, e.g. you can do
# find_package(Eigen3 3.1.2)
# to require version 3.1.2 or newer of Eigen3.
#
# Once done this will define
#
# EIGEN_FOUND - system has eigen lib with correct version
# EIGEN_INCLUDE_DIR - the eigen include directory
# EIGEN_VERSION - eigen version
# Copyright (c) 2006, 2007 Montel Laurent, <montel@kde.org>
# Copyright (c) 2008, 2009 Gael Guennebaud, <g.gael@free.fr>
# Copyright (c) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
# Redistribution and use is allowed according to the terms of the 2-clause BSD license.
if(NOT Eigen_FIND_VERSION)
if(NOT Eigen_FIND_VERSION_MAJOR)
set(Eigen_FIND_VERSION_MAJOR 2)
endif(NOT Eigen_FIND_VERSION_MAJOR)
if(NOT Eigen_FIND_VERSION_MINOR)
set(Eigen_FIND_VERSION_MINOR 91)
endif(NOT Eigen_FIND_VERSION_MINOR)
if(NOT Eigen_FIND_VERSION_PATCH)
set(Eigen_FIND_VERSION_PATCH 0)
endif(NOT Eigen_FIND_VERSION_PATCH)
set(Eigen_FIND_VERSION "${Eigen_FIND_VERSION_MAJOR}.${Eigen_FIND_VERSION_MINOR}.${Eigen_FIND_VERSION_PATCH}")
endif(NOT Eigen_FIND_VERSION)
macro(_eigen3_check_version)
file(READ "${EIGEN_INCLUDE_DIR}/Eigen/src/Core/util/Macros.h" _eigen3_version_header)
string(REGEX MATCH "define[ \t]+EIGEN_WORLD_VERSION[ \t]+([0-9]+)" _eigen3_world_version_match "${_eigen3_version_header}")
set(EIGEN_WORLD_VERSION "${CMAKE_MATCH_1}")
string(REGEX MATCH "define[ \t]+EIGEN_MAJOR_VERSION[ \t]+([0-9]+)" _eigen3_major_version_match "${_eigen3_version_header}")
set(EIGEN_MAJOR_VERSION "${CMAKE_MATCH_1}")
string(REGEX MATCH "define[ \t]+EIGEN_MINOR_VERSION[ \t]+([0-9]+)" _eigen3_minor_version_match "${_eigen3_version_header}")
set(EIGEN_MINOR_VERSION "${CMAKE_MATCH_1}")
set(EIGEN_VERSION ${EIGEN_WORLD_VERSION}.${EIGEN_MAJOR_VERSION}.${EIGEN_MINOR_VERSION})
if(${EIGEN_VERSION} VERSION_LESS ${Eigen_FIND_VERSION})
set(EIGEN_VERSION_OK FALSE)
else(${EIGEN_VERSION} VERSION_LESS ${Eigen_FIND_VERSION})
set(EIGEN_VERSION_OK TRUE)
endif(${EIGEN_VERSION} VERSION_LESS ${Eigen_FIND_VERSION})
if(NOT EIGEN_VERSION_OK)
message(STATUS "Eigen version ${EIGEN_VERSION} found in ${EIGEN_INCLUDE_DIR}, "
"but at least version ${Eigen_FIND_VERSION} is required")
endif(NOT EIGEN_VERSION_OK)
endmacro(_eigen3_check_version)
if (EIGEN_INCLUDE_DIRS)
# in cache already
_eigen3_check_version()
set(EIGEN_FOUND ${EIGEN_VERSION_OK})
else ()
find_path(EIGEN_INCLUDE_DIR NAMES signature_of_eigen3_matrix_library
PATHS
${CMAKE_INSTALL_PREFIX}/include
${KDE4_INCLUDE_DIR}
PATH_SUFFIXES eigen3 eigen
)
if(EIGEN_INCLUDE_DIR)
_eigen3_check_version()
endif(EIGEN_INCLUDE_DIR)
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(Eigen DEFAULT_MSG EIGEN_INCLUDE_DIR EIGEN_VERSION_OK)
mark_as_advanced(EIGEN_INCLUDE_DIR)
SET(EIGEN_INCLUDE_DIRS ${EIGEN_INCLUDE_DIR} CACHE PATH "The Eigen include path.")
endif()
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/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2010, 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 Willow Garage, Inc. 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.
*
*
*/
#ifndef pcl_ros_IMPL_TRANSFORMS_H_
#define pcl_ros_IMPL_TRANSFORMS_H_
#include "pcl_ros/transforms.h"
namespace pcl_ros
{
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> void
transformPointCloudWithNormals (const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out, const tf::Transform &transform)
{
// Bullet (used by tf) and Eigen both store quaternions in x,y,z,w order, despite the ordering
// of arguments in Eigen's constructor. We could use an Eigen Map to convert without copy, but
// this only works if Bullet uses floats, that is if BT_USE_DOUBLE_PRECISION is not defined.
// Rather that risking a mistake, we copy the quaternion, which is a small cost compared to
// the conversion of the point cloud anyway. Idem for the origin.
tf::Quaternion q = transform.getRotation ();
Eigen::Quaternionf rotation (q.w (), q.x (), q.y (), q.z ()); // internally stored as (x,y,z,w)
tf::Vector3 v = transform.getOrigin ();
Eigen::Vector3f origin (v.x (), v.y (), v.z ());
// Eigen::Translation3f translation(v);
// Assemble an Eigen Transform
//Eigen::Transform3f t;
//t = translation * rotation;
transformPointCloudWithNormals (cloud_in, cloud_out, origin, rotation);
}
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> void
transformPointCloud (const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out, const tf::Transform &transform)
{
// Bullet (used by tf) and Eigen both store quaternions in x,y,z,w order, despite the ordering
// of arguments in Eigen's constructor. We could use an Eigen Map to convert without copy, but
// this only works if Bullet uses floats, that is if BT_USE_DOUBLE_PRECISION is not defined.
// Rather that risking a mistake, we copy the quaternion, which is a small cost compared to
// the conversion of the point cloud anyway. Idem for the origin.
tf::Quaternion q = transform.getRotation ();
Eigen::Quaternionf rotation (q.w (), q.x (), q.y (), q.z ()); // internally stored as (x,y,z,w)
tf::Vector3 v = transform.getOrigin ();
Eigen::Vector3f origin (v.x (), v.y (), v.z ());
// Eigen::Translation3f translation(v);
// Assemble an Eigen Transform
//Eigen::Transform3f t;
//t = translation * rotation;
transformPointCloud (cloud_in, cloud_out, origin, rotation);
}
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> bool
transformPointCloudWithNormals (const std::string &target_frame,
const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener)
{
if (cloud_in.header.frame_id == target_frame)
{
cloud_out = cloud_in;
return (true);
}
tf::StampedTransform transform;
try
{
tf_listener.lookupTransform (target_frame, cloud_in.header.frame_id, cloud_in.header.stamp, transform);
}
catch (tf::LookupException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
catch (tf::ExtrapolationException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
transformPointCloudWithNormals (cloud_in, cloud_out, transform);
cloud_out.header.frame_id = target_frame;
return (true);
}
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> bool
transformPointCloud (const std::string &target_frame,
const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener)
{
if (cloud_in.header.frame_id == target_frame)
{
cloud_out = cloud_in;
return (true);
}
tf::StampedTransform transform;
try
{
tf_listener.lookupTransform (target_frame, cloud_in.header.frame_id, cloud_in.header.stamp, transform);
}
catch (tf::LookupException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
catch (tf::ExtrapolationException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
transformPointCloud (cloud_in, cloud_out, transform);
cloud_out.header.frame_id = target_frame;
return (true);
}
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> bool
transformPointCloud (const std::string &target_frame,
const ros::Time & target_time,
const pcl::PointCloud <PointT> &cloud_in,
const std::string &fixed_frame,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener)
{
tf::StampedTransform transform;
try
{
tf_listener.lookupTransform (target_frame, target_time, cloud_in.header.frame_id, cloud_in.header.stamp, fixed_frame, transform);
}
catch (tf::LookupException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
catch (tf::ExtrapolationException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
transformPointCloud (cloud_in, cloud_out, transform);
cloud_out.header.frame_id = target_frame;
cloud_out.header.stamp = target_time;
return (true);
}
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointT> bool
transformPointCloudWithNormals (const std::string &target_frame,
const ros::Time & target_time,
const pcl::PointCloud <PointT> &cloud_in,
const std::string &fixed_frame,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener)
{
tf::StampedTransform transform;
try
{
tf_listener.lookupTransform (target_frame, target_time, cloud_in.header.frame_id, cloud_in.header.stamp, fixed_frame, transform);
}
catch (tf::LookupException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
catch (tf::ExtrapolationException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
transformPointCloudWithNormals (cloud_in, cloud_out, transform);
cloud_out.header.frame_id = target_frame;
cloud_out.header.stamp = target_time;
return (true);
}
} // namespace pcl_ros
#endif
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#ifndef pcl_ROS_POINT_CLOUD_H_
#define pcl_ROS_POINT_CLOUD_H_
#include <ros/ros.h>
#include <pcl/point_cloud.h>
#include <pcl/point_traits.h>
#include <pcl/for_each_type.h>
#include <pcl/ros/conversions.h>
#include <sensor_msgs/PointCloud2.h>
#include <boost/mpl/size.hpp>
#include <boost/ref.hpp>
namespace pcl
{
namespace detail
{
template<typename Stream, typename PointT>
struct FieldStreamer
{
FieldStreamer(Stream& stream) : stream_(stream) {}
template<typename U> void operator() ()
{
const char* name = traits::name<PointT, U>::value;
uint32_t name_length = strlen(name);
stream_.next(name_length);
if (name_length > 0)
memcpy(stream_.advance(name_length), name, name_length);
uint32_t offset = traits::offset<PointT, U>::value;
stream_.next(offset);
uint8_t datatype = traits::datatype<PointT, U>::value;
stream_.next(datatype);
uint32_t count = traits::datatype<PointT, U>::size;
stream_.next(count);
}
Stream& stream_;
};
template<typename PointT>
struct FieldsLength
{
FieldsLength() : length(0) {}
template<typename U> void operator() ()
{
uint32_t name_length = strlen(traits::name<PointT, U>::value);
length += name_length + 13;
}
uint32_t length;
};
} // namespace pcl::detail
} // namespace pcl
namespace ros
{
// In ROS 1.3.1+, we can specialize the functor used to create PointCloud<T> objects
// on the subscriber side. This allows us to generate the mapping between message
// data and object fields only once and reuse it.
#if ROS_VERSION_MINIMUM(1, 3, 1)
template<typename T>
struct DefaultMessageCreator<pcl::PointCloud<T> >
{
boost::shared_ptr<pcl::MsgFieldMap> mapping_;
DefaultMessageCreator()
: mapping_( boost::make_shared<pcl::MsgFieldMap>() )
{
}
boost::shared_ptr<pcl::PointCloud<T> > operator() ()
{
boost::shared_ptr<pcl::PointCloud<T> > msg (new pcl::PointCloud<T> ());
pcl::detail::getMapping(*msg) = mapping_;
return msg;
}
};
#endif
namespace message_traits
{
template<typename T> struct MD5Sum<pcl::PointCloud<T> >
{
static const char* value() { return MD5Sum<sensor_msgs::PointCloud2>::value(); }
static const char* value(const pcl::PointCloud<T>&) { return value(); }
static const uint64_t static_value1 = MD5Sum<sensor_msgs::PointCloud2>::static_value1;
static const uint64_t static_value2 = MD5Sum<sensor_msgs::PointCloud2>::static_value2;
// If the definition of sensor_msgs/PointCloud2 changes, we'll get a compile error here.
ROS_STATIC_ASSERT(static_value1 == 0x1158d486dd51d683ULL);
ROS_STATIC_ASSERT(static_value2 == 0xce2f1be655c3c181ULL);
};
template<typename T> struct DataType<pcl::PointCloud<T> >
{
static const char* value() { return DataType<sensor_msgs::PointCloud2>::value(); }
static const char* value(const pcl::PointCloud<T>&) { return value(); }
};
template<typename T> struct Definition<pcl::PointCloud<T> >
{
static const char* value() { return Definition<sensor_msgs::PointCloud2>::value(); }
static const char* value(const pcl::PointCloud<T>&) { return value(); }
};
template<typename T> struct HasHeader<pcl::PointCloud<T> > : TrueType {};
} // namespace ros::message_traits
namespace serialization
{
template<typename T>
struct Serializer<pcl::PointCloud<T> >
{
template<typename Stream>
inline static void write(Stream& stream, const pcl::PointCloud<T>& m)
{
stream.next(m.header);
// Ease the user's burden on specifying width/height for unorganized datasets
uint32_t height = m.height, width = m.width;
if (height == 0 && width == 0) {
width = m.points.size();
height = 1;
}
stream.next(height);
stream.next(width);
// Stream out point field metadata
typedef typename pcl::traits::fieldList<T>::type FieldList;
uint32_t fields_size = boost::mpl::size<FieldList>::value;
stream.next(fields_size);
pcl::for_each_type<FieldList>(pcl::detail::FieldStreamer<Stream, T>(stream));
// Assume little-endian...
uint8_t is_bigendian = false;
stream.next(is_bigendian);
// Write out point data as binary blob
uint32_t point_step = sizeof(T);
stream.next(point_step);
uint32_t row_step = point_step * width;
stream.next(row_step);
uint32_t data_size = row_step * height;
stream.next(data_size);
memcpy(stream.advance(data_size), &m.points[0], data_size);
uint8_t is_dense = m.is_dense;
stream.next(is_dense);
}
template<typename Stream>
inline static void read(Stream& stream, pcl::PointCloud<T>& m)
{
stream.next(m.header);
stream.next(m.height);
stream.next(m.width);
/// @todo Check that fields haven't changed!
std::vector<sensor_msgs::PointField> fields;
stream.next(fields);
// Construct field mapping if deserializing for the first time
boost::shared_ptr<pcl::MsgFieldMap>& mapping_ptr = pcl::detail::getMapping(m);
if (!mapping_ptr)
{
// This normally should get allocated by DefaultMessageCreator, but just in case
mapping_ptr = boost::make_shared<pcl::MsgFieldMap>();
}
pcl::MsgFieldMap& mapping = *mapping_ptr;
if (mapping.empty())
pcl::createMapping<T> (fields, mapping);
uint8_t is_bigendian;
stream.next(is_bigendian); // ignoring...
uint32_t point_step, row_step;
stream.next(point_step);
stream.next(row_step);
// Copy point data
uint32_t data_size;
stream.next(data_size);
assert(data_size == m.height * m.width * point_step);
m.points.resize(m.height * m.width);
uint8_t* m_data = reinterpret_cast<uint8_t*>(&m.points[0]);
// If the data layouts match, can copy a whole row in one memcpy
if (mapping.size() == 1 &&
mapping[0].serialized_offset == 0 &&
mapping[0].struct_offset == 0 &&
point_step == sizeof(T))
{
uint32_t m_row_step = sizeof(T) * m.width;
// And if the row steps match, can copy whole point cloud in one memcpy
if (m_row_step == row_step)
{
memcpy (m_data, stream.advance(data_size), data_size);
}
else
{
for (uint32_t i = 0; i < m.height; ++i, m_data += m_row_step)
memcpy (m_data, stream.advance(row_step), m_row_step);
}
}
else
{
// If not, do a lot of memcpys to copy over the fields
for (uint32_t row = 0; row < m.height; ++row) {
const uint8_t* stream_data = stream.advance(row_step);
for (uint32_t col = 0; col < m.width; ++col, stream_data += point_step) {
BOOST_FOREACH(const pcl::detail::FieldMapping& fm, mapping) {
memcpy(m_data + fm.struct_offset, stream_data + fm.serialized_offset, fm.size);
}
m_data += sizeof(T);
}
}
}
uint8_t is_dense;
stream.next(is_dense);
m.is_dense = is_dense;
}
inline static uint32_t serializedLength(const pcl::PointCloud<T>& m)
{
uint32_t length = 0;
length += serializationLength(m.header);
length += 8; // height/width
pcl::detail::FieldsLength<T> fl;
typedef typename pcl::traits::fieldList<T>::type FieldList;
pcl::for_each_type<FieldList>(boost::ref(fl));
length += 4; // size of 'fields'
length += fl.length;
length += 1; // is_bigendian
length += 4; // point_step
length += 4; // row_step
length += 4; // size of 'data'
length += m.points.size() * sizeof(T); // data
length += 1; // is_dense
return length;
}
};
} // namespace ros::serialization
/// @todo Printer specialization in message_operations
} // namespace ros
#endif
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/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2010, 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 Willow Garage, Inc. 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.
*
* $Id: publisher.h 33238 2010-03-11 00:46:58Z rusu $
*
*/
/**
\author Patrick Mihelich
@b Publisher represents a ROS publisher for the templated PointCloud implementation.
**/
#ifndef pcl_ros_PUBLISHER_H_
#define pcl_ros_PUBLISHER_H_
#include <ros/ros.h>
#include "pcl/ros/conversions.h"
namespace pcl_ros
{
class BasePublisher
{
public:
void
advertise (ros::NodeHandle& nh, const std::string& topic, uint32_t queue_size)
{
pub_ = nh.advertise<sensor_msgs::PointCloud2>(topic, queue_size);
}
std::string
getTopic ()
{
return (pub_.getTopic ());
}
uint32_t
getNumSubscribers () const
{
return (pub_.getNumSubscribers ());
}
void
shutdown ()
{
pub_.shutdown ();
}
operator void*() const
{
return (pub_) ? (void*)1 : (void*)0;
}
protected:
ros::Publisher pub_;
};
template <typename PointT>
class Publisher : public BasePublisher
{
public:
Publisher () {}
Publisher (ros::NodeHandle& nh, const std::string& topic, uint32_t queue_size)
{
advertise (nh, topic, queue_size);
}
~Publisher () {}
inline void
publish (const boost::shared_ptr<const pcl::PointCloud<PointT> > &point_cloud) const
{
publish (*point_cloud);
}
inline void
publish (const pcl::PointCloud<PointT>& point_cloud) const
{
// Fill point cloud binary data
sensor_msgs::PointCloud2 msg;
pcl::toROSMsg (point_cloud, msg);
pub_.publish (boost::make_shared<const sensor_msgs::PointCloud2> (msg));
}
};
template <>
class Publisher<sensor_msgs::PointCloud2> : public BasePublisher
{
public:
Publisher () {}
Publisher (ros::NodeHandle& nh, const std::string& topic, uint32_t queue_size)
{
advertise (nh, topic, queue_size);
}
~Publisher () {}
void
publish (const sensor_msgs::PointCloud2Ptr& point_cloud) const
{
pub_.publish (point_cloud);
//pub_.publish (*point_cloud);
}
void
publish (const sensor_msgs::PointCloud2& point_cloud) const
{
pub_.publish (boost::make_shared<const sensor_msgs::PointCloud2> (point_cloud));
//pub_.publish (point_cloud);
}
};
}
#endif //#ifndef PCL_ROS_PUBLISHER_H_
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/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2010, 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 Willow Garage, Inc. 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.
*
*
*/
#ifndef pcl_ROS_TRANSFORMS_H_
#define pcl_ROS_TRANSFORMS_H_
#include <sensor_msgs/PointCloud2.h>
#include <pcl/common/transforms.h>
#include <tf/transform_datatypes.h>
#include <tf/transform_listener.h>
namespace pcl_ros
{
/** \brief Transform a point cloud and rotate its normals using an Eigen transform.
* \param cloud_in the input point cloud
* \param cloud_out the input point cloud
* \param transform a rigid transformation from tf
* \note calls the Eigen version
*/
template <typename PointT> void
transformPointCloudWithNormals (const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out,
const tf::Transform &transform);
/** \brief Transforms a point cloud in a given target TF frame using a TransformListener
* \param target_frame the target TF frame the point cloud should be transformed to
* \param cloud_in the input point cloud
* \param cloud_out the input point cloud
* \param tf_listener a TF listener object
*/
template <typename PointT> bool
transformPointCloudWithNormals (const std::string &target_frame,
const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener);
/** \brief Transforms a point cloud in a given target TF frame using a TransformListener
* \param target_frame the target TF frame the point cloud should be transformed to
* \param target_time the target timestamp
* \param cloud_in the input point cloud
* \param fixed_frame fixed TF frame
* \param cloud_out the input point cloud
* \param tf_listener a TF listener object
*/
template <typename PointT> bool
transformPointCloudWithNormals (const std::string &target_frame,
const ros::Time & target_time,
const pcl::PointCloud <PointT> &cloud_in,
const std::string &fixed_frame,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener);
/** \brief Apply a rigid transform defined by a 3D offset and a quaternion
* \param cloud_in the input point cloud
* \param cloud_out the input point cloud
* \param transform a rigid transformation from tf
* \note calls the Eigen version
*/
template <typename PointT> void
transformPointCloud (const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out,
const tf::Transform &transform);
/** \brief Transforms a point cloud in a given target TF frame using a TransformListener
* \param target_frame the target TF frame the point cloud should be transformed to
* \param cloud_in the input point cloud
* \param cloud_out the input point cloud
* \param tf_listener a TF listener object
*/
template <typename PointT> bool
transformPointCloud (const std::string &target_frame,
const pcl::PointCloud <PointT> &cloud_in,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener);
/** \brief Transforms a point cloud in a given target TF frame using a TransformListener
* \param target_frame the target TF frame the point cloud should be transformed to
* \param target_time the target timestamp
* \param cloud_in the input point cloud
* \param fixed_frame fixed TF frame
* \param cloud_out the input point cloud
* \param tf_listener a TF listener object
*/
template <typename PointT> bool
transformPointCloud (const std::string &target_frame, const ros::Time & target_time,
const pcl::PointCloud <PointT> &cloud_in,
const std::string &fixed_frame,
pcl::PointCloud <PointT> &cloud_out,
const tf::TransformListener &tf_listener);
/** \brief Transform a sensor_msgs::PointCloud2 dataset from its frame to a given TF target frame.
* \param target_frame the target TF frame
* \param in the input PointCloud2 dataset
* \param out the resultant transformed PointCloud2 dataset
* \param tf_listener a TF listener object
*/
bool
transformPointCloud (const std::string &target_frame,
const sensor_msgs::PointCloud2 &in,
sensor_msgs::PointCloud2 &out,
const tf::TransformListener &tf_listener);
/** \brief Transform a sensor_msgs::PointCloud2 dataset from its frame to a given TF target frame.
* \param target_frame the target TF frame
* \param net_transform the TF transformer object
* \param in the input PointCloud2 dataset
* \param out the resultant transformed PointCloud2 dataset
*/
void
transformPointCloud (const std::string &target_frame,
const tf::Transform &net_transform,
const sensor_msgs::PointCloud2 &in,
sensor_msgs::PointCloud2 &out);
/** \brief Transform a sensor_msgs::PointCloud2 dataset using an Eigen 4x4 matrix.
* \param transform the transformation to use on the points
* \param in the input PointCloud2 dataset
* \param out the resultant transformed PointCloud2 dataset
*/
void
transformPointCloud (const Eigen::Matrix4f &transform,
const sensor_msgs::PointCloud2 &in,
sensor_msgs::PointCloud2 &out);
/** \brief Obtain the transformation matrix from TF into an Eigen form
* \param bt the TF transformation
* \param out_mat the Eigen transformation
*/
void
transformAsMatrix (const tf::Transform& bt, Eigen::Matrix4f &out_mat);
}
#endif // PCL_ROS_TRANSFORMS_H_
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/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2010, 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 Willow Garage, Inc. 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 <sensor_msgs/PointCloud2.h>
#include <pcl/common/io.h>
#include <pcl/point_types.h>
#include "pcl_ros/transforms.h"
#include "pcl_ros/impl/transforms.hpp"
namespace pcl_ros
{
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
bool
transformPointCloud (const std::string &target_frame, const sensor_msgs::PointCloud2 &in,
sensor_msgs::PointCloud2 &out, const tf::TransformListener &tf_listener)
{
if (in.header.frame_id == target_frame)
{
out = in;
return (true);
}
// Get the TF transform
tf::StampedTransform transform;
try
{
tf_listener.lookupTransform (target_frame, in.header.frame_id, in.header.stamp, transform);
}
catch (tf::LookupException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
catch (tf::ExtrapolationException &e)
{
ROS_ERROR ("%s", e.what ());
return (false);
}
// Convert the TF transform to Eigen format
Eigen::Matrix4f eigen_transform;
transformAsMatrix (transform, eigen_transform);
transformPointCloud (eigen_transform, in, out);
out.header.frame_id = target_frame;
return (true);
}
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
void
transformPointCloud (const std::string &target_frame, const tf::Transform &net_transform,
const sensor_msgs::PointCloud2 &in, sensor_msgs::PointCloud2 &out)
{
if (in.header.frame_id == target_frame)
{
out = in;
return;
}
// Get the transformation
Eigen::Matrix4f transform;
transformAsMatrix (net_transform, transform);
transformPointCloud (transform, in, out);
out.header.frame_id = target_frame;
}
//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
void
transformPointCloud (const Eigen::Matrix4f &transform, const sensor_msgs::PointCloud2 &in,
sensor_msgs::PointCloud2 &out)
{
// Get X-Y-Z indices
int x_idx = pcl::getFieldIndex (in, "x");
int y_idx = pcl::getFieldIndex (in, "y");
int z_idx = pcl::getFieldIndex (in, "z");
if (x_idx == -1 || y_idx == -1 || z_idx == -1)
{
ROS_ERROR ("Input dataset has no X-Y-Z coordinates! Cannot convert to Eigen format.");
return;
}
if (in.fields[x_idx].datatype != sensor_msgs::PointField::FLOAT32 ||
in.fields[y_idx].datatype != sensor_msgs::PointField::FLOAT32 ||
in.fields[z_idx].datatype != sensor_msgs::PointField::FLOAT32)
{
ROS_ERROR ("X-Y-Z coordinates not floats. Currently only floats are supported.");
return;
}
// Check if distance is available
int dist_idx = pcl::getFieldIndex (in, "distance");
// Copy the other data
if (&in != &out)
{
out.header = in.header;
out.height = in.height;
out.width = in.width;
out.fields = in.fields;
out.is_bigendian = in.is_bigendian;
out.point_step = in.point_step;
out.row_step = in.row_step;
out.is_dense = in.is_dense;
out.data.resize (in.data.size ());
// Copy everything as it's faster than copying individual elements
memcpy (&out.data[0], &in.data[0], in.data.size ());
}
Eigen::Array4i xyz_offset (in.fields[x_idx].offset, in.fields[y_idx].offset, in.fields[z_idx].offset, 0);
for (size_t i = 0; i < in.width * in.height; ++i)
{
Eigen::Vector4f pt (*(float*)&in.data[xyz_offset[0]], *(float*)&in.data[xyz_offset[1]], *(float*)&in.data[xyz_offset[2]], 1);
Eigen::Vector4f pt_out;
bool max_range_point = false;
int distance_ptr_offset = i*in.point_step + in.fields[dist_idx].offset;
float* distance_ptr = (dist_idx < 0 ? NULL : (float*)(&in.data[distance_ptr_offset]));
if (!std::isfinite (pt[0]) || !std::isfinite (pt[1]) || !std::isfinite (pt[2]))
{
if (distance_ptr==NULL || !std::isfinite(*distance_ptr)) // Invalid point
{
pt_out = pt;
}
else // max range point
{
pt[0] = *distance_ptr; // Replace x with the x value saved in distance
pt_out = transform * pt;
max_range_point = true;
//std::cout << pt[0]<<","<<pt[1]<<","<<pt[2]<<" => "<<pt_out[0]<<","<<pt_out[1]<<","<<pt_out[2]<<"\n";
}
}
else
{
pt_out = transform * pt;
}
if (max_range_point)
{
// Save x value in distance again
*(float*)(&out.data[distance_ptr_offset]) = pt_out[0];
pt_out[0] = std::numeric_limits<float>::quiet_NaN();
}
memcpy (&out.data[xyz_offset[0]], &pt_out[0], sizeof (float));
memcpy (&out.data[xyz_offset[1]], &pt_out[1], sizeof (float));
memcpy (&out.data[xyz_offset[2]], &pt_out[2], sizeof (float));
xyz_offset += in.point_step;
}
// Check if the viewpoint information is present
int vp_idx = pcl::getFieldIndex (in, "vp_x");
if (vp_idx != -1)
{
// Transform the viewpoint info too
for (size_t i = 0; i < out.width * out.height; ++i)
{
float *pstep = (float*)&out.data[i * out.point_step + out.fields[vp_idx].offset];
// Assume vp_x, vp_y, vp_z are consecutive
Eigen::Vector4f vp_in (pstep[0], pstep[1], pstep[2], 1);
Eigen::Vector4f vp_out = transform * vp_in;
pstep[0] = vp_out[0];
pstep[1] = vp_out[1];
pstep[2] = vp_out[2];
}
}
}
//////////////////////////////////////////////////////////////////////////////////////////////
void
transformAsMatrix (const tf::Transform& bt, Eigen::Matrix4f &out_mat)
{
double mv[12];
bt.getBasis ().getOpenGLSubMatrix (mv);
tf::Vector3 origin = bt.getOrigin ();
out_mat (0, 0) = mv[0]; out_mat (0, 1) = mv[4]; out_mat (0, 2) = mv[8];
out_mat (1, 0) = mv[1]; out_mat (1, 1) = mv[5]; out_mat (1, 2) = mv[9];
out_mat (2, 0) = mv[2]; out_mat (2, 1) = mv[6]; out_mat (2, 2) = mv[10];
out_mat (3, 0) = out_mat (3, 1) = out_mat (3, 2) = 0; out_mat (3, 3) = 1;
out_mat (0, 3) = origin.x ();
out_mat (1, 3) = origin.y ();
out_mat (2, 3) = origin.z ();
}
} // namespace pcl_ros
//////////////////////////////////////////////////////////////////////////////////////////////
template void pcl_ros::transformPointCloudWithNormals<pcl::PointNormal> (const pcl::PointCloud <pcl::PointNormal> &, pcl::PointCloud <pcl::PointNormal> &, const tf::Transform &);
template void pcl_ros::transformPointCloudWithNormals<pcl::PointXYZRGBNormal> (const pcl::PointCloud <pcl::PointXYZRGBNormal> &, pcl::PointCloud <pcl::PointXYZRGBNormal> &, const tf::Transform &);
template void pcl_ros::transformPointCloudWithNormals<pcl::PointXYZINormal> (const pcl::PointCloud <pcl::PointXYZINormal> &, pcl::PointCloud <pcl::PointXYZINormal> &, const tf::Transform &);
//////////////////////////////////////////////////////////////////////////////////////////////
template bool pcl_ros::transformPointCloudWithNormals<pcl::PointNormal> (const std::string &, const pcl::PointCloud<pcl::PointNormal> &, pcl::PointCloud<pcl::PointNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloudWithNormals<pcl::PointXYZRGBNormal> (const std::string &, const pcl::PointCloud<pcl::PointXYZRGBNormal> &, pcl::PointCloud<pcl::PointXYZRGBNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloudWithNormals<pcl::PointXYZINormal> (const std::string &, const pcl::PointCloud<pcl::PointXYZINormal> &, pcl::PointCloud<pcl::PointXYZINormal> &, const tf::TransformListener &);
//////////////////////////////////////////////////////////////////////////////////////////////
template bool pcl_ros::transformPointCloudWithNormals<pcl::PointNormal> (const std::string &, const ros::Time &, const pcl::PointCloud<pcl::PointNormal> &, const std::string &, pcl::PointCloud <pcl::PointNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloudWithNormals<pcl::PointXYZRGBNormal> (const std::string &, const ros::Time &, const pcl::PointCloud<pcl::PointXYZRGBNormal> &, const std::string &, pcl::PointCloud <pcl::PointXYZRGBNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloudWithNormals<pcl::PointXYZINormal> (const std::string &, const ros::Time &, const pcl::PointCloud<pcl::PointXYZINormal> &, const std::string &, pcl::PointCloud <pcl::PointXYZINormal> &, const tf::TransformListener &);
//////////////////////////////////////////////////////////////////////////////////////////////
template void pcl_ros::transformPointCloud<pcl::PointXYZ> (const pcl::PointCloud <pcl::PointXYZ> &, pcl::PointCloud <pcl::PointXYZ> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointXYZI> (const pcl::PointCloud <pcl::PointXYZI> &, pcl::PointCloud <pcl::PointXYZI> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointXYZRGBA> (const pcl::PointCloud <pcl::PointXYZRGBA> &, pcl::PointCloud <pcl::PointXYZRGBA> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointXYZRGB> (const pcl::PointCloud <pcl::PointXYZRGB> &, pcl::PointCloud <pcl::PointXYZRGB> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::InterestPoint> (const pcl::PointCloud <pcl::InterestPoint> &, pcl::PointCloud <pcl::InterestPoint> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointNormal> (const pcl::PointCloud <pcl::PointNormal> &, pcl::PointCloud <pcl::PointNormal> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointXYZRGBNormal> (const pcl::PointCloud <pcl::PointXYZRGBNormal> &, pcl::PointCloud <pcl::PointXYZRGBNormal> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointXYZINormal> (const pcl::PointCloud <pcl::PointXYZINormal> &, pcl::PointCloud <pcl::PointXYZINormal> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointWithRange> (const pcl::PointCloud <pcl::PointWithRange> &, pcl::PointCloud <pcl::PointWithRange> &, const tf::Transform &);
template void pcl_ros::transformPointCloud<pcl::PointWithViewpoint> (const pcl::PointCloud <pcl::PointWithViewpoint> &, pcl::PointCloud <pcl::PointWithViewpoint> &, const tf::Transform &);
//////////////////////////////////////////////////////////////////////////////////////////////
template bool pcl_ros::transformPointCloud<pcl::PointXYZ> (const std::string &, const pcl::PointCloud <pcl::PointXYZ> &, pcl::PointCloud <pcl::PointXYZ> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZI> (const std::string &, const pcl::PointCloud <pcl::PointXYZI> &, pcl::PointCloud <pcl::PointXYZI> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZRGBA> (const std::string &, const pcl::PointCloud <pcl::PointXYZRGBA> &, pcl::PointCloud <pcl::PointXYZRGBA> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZRGB> (const std::string &, const pcl::PointCloud <pcl::PointXYZRGB> &, pcl::PointCloud <pcl::PointXYZRGB> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::InterestPoint> (const std::string &, const pcl::PointCloud <pcl::InterestPoint> &, pcl::PointCloud <pcl::InterestPoint> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointNormal> (const std::string &, const pcl::PointCloud <pcl::PointNormal> &, pcl::PointCloud <pcl::PointNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZRGBNormal> (const std::string &, const pcl::PointCloud <pcl::PointXYZRGBNormal> &, pcl::PointCloud <pcl::PointXYZRGBNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZINormal> (const std::string &, const pcl::PointCloud <pcl::PointXYZINormal> &, pcl::PointCloud <pcl::PointXYZINormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointWithRange> (const std::string &, const pcl::PointCloud <pcl::PointWithRange> &, pcl::PointCloud <pcl::PointWithRange> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointWithViewpoint> (const std::string &, const pcl::PointCloud <pcl::PointWithViewpoint> &, pcl::PointCloud <pcl::PointWithViewpoint> &, const tf::TransformListener &);
//////////////////////////////////////////////////////////////////////////////////////////////
template bool pcl_ros::transformPointCloud<pcl::PointXYZ> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointXYZ> &, const std::string &, pcl::PointCloud <pcl::PointXYZ> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZI> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointXYZI> &, const std::string &, pcl::PointCloud <pcl::PointXYZI> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZRGBA> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointXYZRGBA> &, const std::string &, pcl::PointCloud <pcl::PointXYZRGBA> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZRGB> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointXYZRGB> &, const std::string &, pcl::PointCloud <pcl::PointXYZRGB> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::InterestPoint> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::InterestPoint> &, const std::string &, pcl::PointCloud <pcl::InterestPoint> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointNormal> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointNormal> &, const std::string &, pcl::PointCloud <pcl::PointNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZRGBNormal> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointXYZRGBNormal> &, const std::string &, pcl::PointCloud <pcl::PointXYZRGBNormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointXYZINormal> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointXYZINormal> &, const std::string &, pcl::PointCloud <pcl::PointXYZINormal> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointWithRange> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointWithRange> &, const std::string &, pcl::PointCloud <pcl::PointWithRange> &, const tf::TransformListener &);
template bool pcl_ros::transformPointCloud<pcl::PointWithViewpoint> (const std::string &, const ros::Time &, const pcl::PointCloud <pcl::PointWithViewpoint> &, const std::string &, pcl::PointCloud <pcl::PointWithViewpoint> &, const tf::TransformListener &);