Point Cloud Library (PCL)
1.12.1
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pcl
registration
transformation_estimation_svd.h
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/*
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* Software License Agreement (BSD License)
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*
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* Point Cloud Library (PCL) - www.pointclouds.org
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* Copyright (c) 2010-2011, Willow Garage, Inc.
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* Copyright (c) 2012-, Open Perception, Inc.
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*
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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* * Neither the name of the copyright holder(s) nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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* $Id$
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*
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*/
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#pragma once
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#include <pcl/registration/transformation_estimation.h>
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#include <pcl/cloud_iterator.h>
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namespace
pcl
{
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namespace
registration
{
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/** @b TransformationEstimationSVD implements SVD-based estimation of
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* the transformation aligning the given correspondences.
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*
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* \note The class is templated on the source and target point types as well as on the
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* output scalar of the transformation matrix (i.e., float or double). Default: float.
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* \author Dirk Holz, Radu B. Rusu
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* \ingroup registration
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*/
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template
<
typename
Po
int
Source,
typename
Po
int
Target,
typename
Scalar =
float
>
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class
TransformationEstimationSVD
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:
public
TransformationEstimation
<PointSource, PointTarget, Scalar> {
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public
:
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using
Ptr
= shared_ptr<TransformationEstimationSVD<PointSource, PointTarget, Scalar>>;
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using
ConstPtr
=
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shared_ptr<const TransformationEstimationSVD<PointSource, PointTarget, Scalar>>;
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using
Matrix4
=
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typename
TransformationEstimation<PointSource, PointTarget, Scalar>::Matrix4
;
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/** \brief Constructor
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* \param[in] use_umeyama Toggles whether or not to use 3rd party software*/
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TransformationEstimationSVD
(
bool
use_umeyama =
true
) :
use_umeyama_
(use_umeyama) {}
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~TransformationEstimationSVD
(){};
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using SVD. \param[in] cloud_src the source point cloud dataset
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* \param[in] cloud_tgt the target point cloud dataset
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* \param[out] transformation_matrix the resultant transformation matrix
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*/
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inline
void
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estimateRigidTransformation
(
const
pcl::PointCloud<PointSource>
& cloud_src,
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const
pcl::PointCloud<PointTarget>
& cloud_tgt,
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Matrix4
& transformation_matrix)
const override
;
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using SVD. \param[in] cloud_src the source point cloud dataset
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* \param[in] indices_src the vector of indices describing the points of interest in
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* \a cloud_src
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* \param[in] cloud_tgt the target point cloud dataset
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* \param[out] transformation_matrix the resultant transformation matrix
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*/
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inline
void
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estimateRigidTransformation
(
const
pcl::PointCloud<PointSource>
& cloud_src,
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const
pcl::Indices
& indices_src,
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const
pcl::PointCloud<PointTarget>
& cloud_tgt,
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Matrix4
& transformation_matrix)
const override
;
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using SVD. \param[in] cloud_src the source point cloud dataset
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* \param[in] indices_src the vector of indices describing the points of interest in
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* \a cloud_src
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* \param[in] cloud_tgt the target point cloud dataset
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* \param[in] indices_tgt the vector of indices describing the correspondences of the
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* interest points from \a indices_src
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* \param[out] transformation_matrix the resultant transformation matrix
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*/
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inline
void
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estimateRigidTransformation
(
const
pcl::PointCloud<PointSource>
& cloud_src,
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const
pcl::Indices
& indices_src,
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const
pcl::PointCloud<PointTarget>
& cloud_tgt,
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const
pcl::Indices
& indices_tgt,
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Matrix4
& transformation_matrix)
const override
;
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using SVD. \param[in] cloud_src the source point cloud dataset
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* \param[in] cloud_tgt the target point cloud dataset
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* \param[in] correspondences the vector of correspondences between source and target
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* point cloud \param[out] transformation_matrix the resultant transformation matrix
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*/
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void
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estimateRigidTransformation
(
const
pcl::PointCloud<PointSource>
& cloud_src,
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const
pcl::PointCloud<PointTarget>
& cloud_tgt,
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const
pcl::Correspondences
& correspondences,
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Matrix4
& transformation_matrix)
const override
;
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protected
:
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* \param[in] source_it an iterator over the source point cloud dataset
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* \param[in] target_it an iterator over the target point cloud dataset
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* \param[out] transformation_matrix the resultant transformation matrix
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*/
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void
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estimateRigidTransformation
(
ConstCloudIterator<PointSource>
& source_it,
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ConstCloudIterator<PointTarget>
& target_it,
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Matrix4
& transformation_matrix)
const
;
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/** \brief Obtain a 4x4 rigid transformation matrix from a correlation matrix H = src
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* * tgt' \param[in] cloud_src_demean the input source cloud, demeaned, in Eigen
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* format \param[in] centroid_src the input source centroid, in Eigen format
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* \param[in] cloud_tgt_demean the input target cloud, demeaned, in Eigen format
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* \param[in] centroid_tgt the input target cloud, in Eigen format
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* \param[out] transformation_matrix the resultant 4x4 rigid transformation matrix
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*/
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virtual
void
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getTransformationFromCorrelation
(
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const
Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>& cloud_src_demean,
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const
Eigen::Matrix<Scalar, 4, 1>& centroid_src,
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const
Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>& cloud_tgt_demean,
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const
Eigen::Matrix<Scalar, 4, 1>& centroid_tgt,
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Matrix4
& transformation_matrix)
const
;
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bool
use_umeyama_
;
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};
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}
// namespace registration
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}
// namespace pcl
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#include <pcl/registration/impl/transformation_estimation_svd.hpp>
pcl::ConstCloudIterator
Iterator class for point clouds with or without given indices.
Definition
cloud_iterator.h:121
pcl::PointCloud
PointCloud represents the base class in PCL for storing collections of 3D points.
Definition
point_cloud.h:173
pcl::registration::TransformationEstimation::Matrix4
Eigen::Matrix< Scalar, 4, 4 > Matrix4
Definition
transformation_estimation.h:64
pcl::registration::TransformationEstimation< PointSource, PointTarget, float >::TransformationEstimation
TransformationEstimation()
Definition
transformation_estimation.h:66
pcl::registration::TransformationEstimationSVD::Matrix4
typename TransformationEstimation< PointSource, PointTarget, Scalar >::Matrix4 Matrix4
Definition
transformation_estimation_svd.h:64
pcl::registration::TransformationEstimationSVD::use_umeyama_
bool use_umeyama_
Definition
transformation_estimation_svd.h:150
pcl::registration::TransformationEstimationSVD::Ptr
shared_ptr< TransformationEstimationSVD< PointSource, PointTarget, Scalar > > Ptr
Definition
transformation_estimation_svd.h:60
pcl::registration::TransformationEstimationSVD::TransformationEstimationSVD
TransformationEstimationSVD(bool use_umeyama=true)
Constructor.
Definition
transformation_estimation_svd.h:69
pcl::registration::TransformationEstimationSVD::getTransformationFromCorrelation
virtual void getTransformationFromCorrelation(const Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > &cloud_src_demean, const Eigen::Matrix< Scalar, 4, 1 > ¢roid_src, const Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > &cloud_tgt_demean, const Eigen::Matrix< Scalar, 4, 1 > ¢roid_tgt, Matrix4 &transformation_matrix) const
Obtain a 4x4 rigid transformation matrix from a correlation matrix H = src.
Definition
transformation_estimation_svd.hpp:186
pcl::registration::TransformationEstimationSVD::estimateRigidTransformation
void estimateRigidTransformation(const pcl::PointCloud< PointSource > &cloud_src, const pcl::PointCloud< PointTarget > &cloud_tgt, Matrix4 &transformation_matrix) const override
Estimate a rigid rotation transformation between a source and a target point cloud using SVD.
Definition
transformation_estimation_svd.hpp:53
pcl::registration::TransformationEstimationSVD::~TransformationEstimationSVD
~TransformationEstimationSVD()
Definition
transformation_estimation_svd.h:71
pcl::registration::TransformationEstimationSVD::ConstPtr
shared_ptr< const TransformationEstimationSVD< PointSource, PointTarget, Scalar > > ConstPtr
Definition
transformation_estimation_svd.h:61
pcl::registration
Definition
convergence_criteria.h:46
pcl
Definition
convolution.h:46
pcl::Correspondences
std::vector< pcl::Correspondence, Eigen::aligned_allocator< pcl::Correspondence > > Correspondences
Definition
correspondence.h:89
pcl::Indices
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition
types.h:133