Point Cloud Library (PCL) 1.15.0
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transformation_estimation_svd.h
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40
41#pragma once
42
43#include <pcl/registration/transformation_estimation.h>
44#include <pcl/cloud_iterator.h>
45#include <pcl/pcl_config.h> // for PCL_NO_PRECOMPILE
46
47namespace pcl {
48namespace registration {
49/** @b TransformationEstimationSVD implements SVD-based estimation of
50 * the transformation aligning the given correspondences.
51 *
52 * \note The class is templated on the source and target point types as well as on the
53 * output scalar of the transformation matrix (i.e., float or double). Default: float.
54 * \author Dirk Holz, Radu B. Rusu
55 * \ingroup registration
56 */
57template <typename PointSource, typename PointTarget, typename Scalar = float>
59: public TransformationEstimation<PointSource, PointTarget, Scalar> {
60public:
61 using Ptr = shared_ptr<TransformationEstimationSVD<PointSource, PointTarget, Scalar>>;
62 using ConstPtr =
63 shared_ptr<const TransformationEstimationSVD<PointSource, PointTarget, Scalar>>;
64
65 using Matrix4 =
67
68 /** \brief Constructor
69 * \param[in] use_umeyama Toggles whether or not to use 3rd party software*/
70 TransformationEstimationSVD(bool use_umeyama = true) : use_umeyama_(use_umeyama) {}
71
72 ~TransformationEstimationSVD() override = default;
73
74 /** \brief Estimate a rigid rotation transformation between a source and a target
75 * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
76 * \param[in] cloud_tgt the target point cloud dataset
77 * \param[out] transformation_matrix the resultant transformation matrix
78 */
79 inline void
81 const pcl::PointCloud<PointTarget>& cloud_tgt,
82 Matrix4& transformation_matrix) const override;
83
84 /** \brief Estimate a rigid rotation transformation between a source and a target
85 * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
86 * \param[in] indices_src the vector of indices describing the points of interest in
87 * \a cloud_src
88 * \param[in] cloud_tgt the target point cloud dataset
89 * \param[out] transformation_matrix the resultant transformation matrix
90 */
91 inline void
93 const pcl::Indices& indices_src,
94 const pcl::PointCloud<PointTarget>& cloud_tgt,
95 Matrix4& transformation_matrix) const override;
96
97 /** \brief Estimate a rigid rotation transformation between a source and a target
98 * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
99 * \param[in] indices_src the vector of indices describing the points of interest in
100 * \a cloud_src
101 * \param[in] cloud_tgt the target point cloud dataset
102 * \param[in] indices_tgt the vector of indices describing the correspondences of the
103 * interest points from \a indices_src
104 * \param[out] transformation_matrix the resultant transformation matrix
105 */
106 inline void
108 const pcl::Indices& indices_src,
109 const pcl::PointCloud<PointTarget>& cloud_tgt,
110 const pcl::Indices& indices_tgt,
111 Matrix4& transformation_matrix) const override;
112
113 /** \brief Estimate a rigid rotation transformation between a source and a target
114 * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
115 * \param[in] cloud_tgt the target point cloud dataset
116 * \param[in] correspondences the vector of correspondences between source and target
117 * point cloud \param[out] transformation_matrix the resultant transformation matrix
118 */
119 void
121 const pcl::PointCloud<PointTarget>& cloud_tgt,
122 const pcl::Correspondences& correspondences,
123 Matrix4& transformation_matrix) const override;
124
125protected:
126 /** \brief Estimate a rigid rotation transformation between a source and a target
127 * \param[in] source_it an iterator over the source point cloud dataset
128 * \param[in] target_it an iterator over the target point cloud dataset
129 * \param[out] transformation_matrix the resultant transformation matrix
130 */
131 void
134 Matrix4& transformation_matrix) const;
135
136 /** \brief Obtain a 4x4 rigid transformation matrix from a correlation matrix H = src
137 * * tgt' \param[in] cloud_src_demean the input source cloud, demeaned, in Eigen
138 * format \param[in] centroid_src the input source centroid, in Eigen format
139 * \param[in] cloud_tgt_demean the input target cloud, demeaned, in Eigen format
140 * \param[in] centroid_tgt the input target cloud, in Eigen format
141 * \param[out] transformation_matrix the resultant 4x4 rigid transformation matrix
142 */
143 virtual void
145 const Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>& cloud_src_demean,
146 const Eigen::Matrix<Scalar, 4, 1>& centroid_src,
147 const Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>& cloud_tgt_demean,
148 const Eigen::Matrix<Scalar, 4, 1>& centroid_tgt,
149 Matrix4& transformation_matrix) const;
150
152};
153
154} // namespace registration
155} // namespace pcl
156
157#include <pcl/registration/impl/transformation_estimation_svd.hpp>
158
159#if !defined(PCL_NO_PRECOMPILE) && \
160 !defined(PCL_REGISTRATION_TRANSFORMATION_ESTIMATION_SVD_CPP_)
167#endif // PCL_NO_PRECOMPILE
Iterator class for point clouds with or without given indices.
PointCloud represents the base class in PCL for storing collections of 3D points.
TransformationEstimationSVD implements SVD-based estimation of the transformation aligning the given ...
shared_ptr< const TransformationEstimationSVD< PointSource, PointTarget, Scalar > > ConstPtr
typename TransformationEstimation< PointSource, PointTarget, Scalar >::Matrix4 Matrix4
shared_ptr< TransformationEstimationSVD< PointSource, PointTarget, Scalar > > Ptr
TransformationEstimationSVD(bool use_umeyama=true)
Constructor.
virtual void getTransformationFromCorrelation(const Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > &cloud_src_demean, const Eigen::Matrix< Scalar, 4, 1 > &centroid_src, const Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > &cloud_tgt_demean, const Eigen::Matrix< Scalar, 4, 1 > &centroid_tgt, Matrix4 &transformation_matrix) const
Obtain a 4x4 rigid transformation matrix from a correlation matrix H = src.
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.
std::vector< pcl::Correspondence, Eigen::aligned_allocator< pcl::Correspondence > > Correspondences
IndicesAllocator<> Indices
Type used for indices in PCL.
Definition types.h:133
A point structure representing Euclidean xyz coordinates.
A point structure representing Euclidean xyz coordinates, and the RGB color.