Point Cloud Library (PCL)
1.12.1
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pcl
registration
transformation_estimation_dq.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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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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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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*
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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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PCL_DEPRECATED_HEADER
(1,
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15,
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"TransformationEstimationDQ has been renamed to "
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"TransformationEstimationDualQuaternion."
);
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namespace
pcl
{
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namespace
registration
{
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/** @b TransformationEstimationDQ implements dual quaternion 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 Sergey Zagoruyko
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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
TransformationEstimationDQ
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:
public
TransformationEstimation
<PointSource, PointTarget, Scalar> {
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public
:
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using
Ptr
= shared_ptr<TransformationEstimationDQ<PointSource, PointTarget, Scalar>>;
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using
ConstPtr
=
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shared_ptr<const TransformationEstimationDQ<PointSource, PointTarget, Scalar>>;
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using
Matrix4
=
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typename
TransformationEstimation<PointSource, PointTarget, Scalar>::Matrix4
;
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TransformationEstimationDQ
(){};
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virtual
~TransformationEstimationDQ
(){};
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using dual quaternion optimization \param[in] cloud_src the source
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* point cloud dataset \param[in] cloud_tgt the target point cloud dataset \param[out]
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* 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
;
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using dual quaternion optimization \param[in] cloud_src the source
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* point cloud dataset \param[in] indices_src the vector of indices describing the
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* points of interest in \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
;
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using dual quaternion optimization \param[in] cloud_src the source
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* point cloud dataset \param[in] indices_src the vector of indices describing the
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* points of interest in \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
;
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/** \brief Estimate a rigid rotation transformation between a source and a target
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* point cloud using dual quaternion optimization \param[in] cloud_src the source
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* point cloud dataset \param[in] cloud_tgt the target point cloud dataset \param[in]
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* correspondences the vector of correspondences between source and target point cloud
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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
(
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
;
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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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};
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}
// namespace registration
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}
// namespace pcl
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#include <pcl/registration/impl/transformation_estimation_dq.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::TransformationEstimationDQ::ConstPtr
shared_ptr< const TransformationEstimationDQ< PointSource, PointTarget, Scalar > > ConstPtr
Definition
transformation_estimation_dq.h:64
pcl::registration::TransformationEstimationDQ::TransformationEstimationDQ
TransformationEstimationDQ()
Definition
transformation_estimation_dq.h:70
pcl::registration::TransformationEstimationDQ::Matrix4
typename TransformationEstimation< PointSource, PointTarget, Scalar >::Matrix4 Matrix4
Definition
transformation_estimation_dq.h:67
pcl::registration::TransformationEstimationDQ::estimateRigidTransformation
void estimateRigidTransformation(const pcl::PointCloud< PointSource > &cloud_src, const pcl::PointCloud< PointTarget > &cloud_tgt, Matrix4 &transformation_matrix) const
Estimate a rigid rotation transformation between a source and a target point cloud using dual quatern...
Definition
transformation_estimation_dq.hpp:56
pcl::registration::TransformationEstimationDQ::~TransformationEstimationDQ
virtual ~TransformationEstimationDQ()
Definition
transformation_estimation_dq.h:71
pcl::registration::TransformationEstimationDQ::Ptr
shared_ptr< TransformationEstimationDQ< PointSource, PointTarget, Scalar > > Ptr
Definition
transformation_estimation_dq.h:63
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
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
PCL_DEPRECATED_HEADER
#define PCL_DEPRECATED_HEADER(Major, Minor, Message)
macro for compatibility across compilers and help remove old deprecated headers for the Major....
Definition
pcl_macros.h:176