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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 #include #include #include 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 void transformPointCloudWithNormals (const pcl::PointCloud &cloud_in, pcl::PointCloud &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 bool transformPointCloudWithNormals (const std::string &target_frame, const pcl::PointCloud &cloud_in, pcl::PointCloud &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 bool transformPointCloudWithNormals (const std::string &target_frame, const ros::Time & target_time, const pcl::PointCloud &cloud_in, const std::string &fixed_frame, pcl::PointCloud &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 void transformPointCloud (const pcl::PointCloud &cloud_in, pcl::PointCloud &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 bool transformPointCloud (const std::string &target_frame, const pcl::PointCloud &cloud_in, pcl::PointCloud &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 bool transformPointCloud (const std::string &target_frame, const ros::Time & target_time, const pcl::PointCloud &cloud_in, const std::string &fixed_frame, pcl::PointCloud &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_