Point Cloud Library (PCL)  1.11.1-dev
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 
46 namespace pcl {
47 namespace registration {
48 /** @b TransformationEstimationSVD implements SVD-based estimation of
49  * the transformation aligning the given correspondences.
50  *
51  * \note The class is templated on the source and target point types as well as on the
52  * output scalar of the transformation matrix (i.e., float or double). Default: float.
53  * \author Dirk Holz, Radu B. Rusu
54  * \ingroup registration
55  */
56 template <typename PointSource, typename PointTarget, typename Scalar = float>
58 : public TransformationEstimation<PointSource, PointTarget, Scalar> {
59 public:
60  using Ptr = shared_ptr<TransformationEstimationSVD<PointSource, PointTarget, Scalar>>;
61  using ConstPtr =
62  shared_ptr<const TransformationEstimationSVD<PointSource, PointTarget, Scalar>>;
63 
64  using Matrix4 =
66 
67  /** \brief Constructor
68  * \param[in] use_umeyama Toggles whether or not to use 3rd party software*/
69  TransformationEstimationSVD(bool use_umeyama = true) : use_umeyama_(use_umeyama) {}
70 
72 
73  /** \brief Estimate a rigid rotation transformation between a source and a target
74  * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
75  * \param[in] cloud_tgt the target point cloud dataset
76  * \param[out] transformation_matrix the resultant transformation matrix
77  */
78  inline void
80  const pcl::PointCloud<PointTarget>& cloud_tgt,
81  Matrix4& transformation_matrix) const override;
82 
83  /** \brief Estimate a rigid rotation transformation between a source and a target
84  * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
85  * \param[in] indices_src the vector of indices describing the points of interest in
86  * \a cloud_src \param[in] cloud_tgt the target point cloud dataset \param[out]
87  * transformation_matrix the resultant transformation matrix
88  */
89  inline void
91  const std::vector<int>& indices_src,
92  const pcl::PointCloud<PointTarget>& cloud_tgt,
93  Matrix4& transformation_matrix) const override;
94 
95  /** \brief Estimate a rigid rotation transformation between a source and a target
96  * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
97  * \param[in] indices_src the vector of indices describing the points of interest in
98  * \a cloud_src \param[in] cloud_tgt the target point cloud dataset \param[in]
99  * indices_tgt the vector of indices describing the correspondences of the interest
100  * points from \a indices_src \param[out] transformation_matrix the resultant
101  * transformation matrix
102  */
103  inline void
105  const std::vector<int>& indices_src,
106  const pcl::PointCloud<PointTarget>& cloud_tgt,
107  const std::vector<int>& indices_tgt,
108  Matrix4& transformation_matrix) const override;
109 
110  /** \brief Estimate a rigid rotation transformation between a source and a target
111  * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
112  * \param[in] cloud_tgt the target point cloud dataset
113  * \param[in] correspondences the vector of correspondences between source and target
114  * point cloud \param[out] transformation_matrix the resultant transformation matrix
115  */
116  void
118  const pcl::PointCloud<PointTarget>& cloud_tgt,
119  const pcl::Correspondences& correspondences,
120  Matrix4& transformation_matrix) const override;
121 
122 protected:
123  /** \brief Estimate a rigid rotation transformation between a source and a target
124  * \param[in] source_it an iterator over the source point cloud dataset
125  * \param[in] target_it an iterator over the target point cloud dataset
126  * \param[out] transformation_matrix the resultant transformation matrix
127  */
128  void
131  Matrix4& transformation_matrix) const;
132 
133  /** \brief Obtain a 4x4 rigid transformation matrix from a correlation matrix H = src
134  * * tgt' \param[in] cloud_src_demean the input source cloud, demeaned, in Eigen
135  * format \param[in] centroid_src the input source centroid, in Eigen format
136  * \param[in] cloud_tgt_demean the input target cloud, demeaned, in Eigen format
137  * \param[in] centroid_tgt the input target cloud, in Eigen format
138  * \param[out] transformation_matrix the resultant 4x4 rigid transformation matrix
139  */
140  virtual void
142  const Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>& cloud_src_demean,
143  const Eigen::Matrix<Scalar, 4, 1>& centroid_src,
144  const Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic>& cloud_tgt_demean,
145  const Eigen::Matrix<Scalar, 4, 1>& centroid_tgt,
146  Matrix4& transformation_matrix) const;
147 
149 };
150 
151 } // namespace registration
152 } // namespace pcl
153 
154 #include <pcl/registration/impl/transformation_estimation_svd.hpp>
pcl
Definition: convolution.h:46
pcl::registration::TransformationEstimationSVD
TransformationEstimationSVD implements SVD-based estimation of the transformation aligning the given ...
Definition: transformation_estimation_svd.h:57
pcl::registration::TransformationEstimationSVD::~TransformationEstimationSVD
~TransformationEstimationSVD()
Definition: transformation_estimation_svd.h:71
pcl::registration::TransformationEstimationSVD::Matrix4
typename TransformationEstimation< PointSource, PointTarget, Scalar >::Matrix4 Matrix4
Definition: transformation_estimation_svd.h:65
pcl::registration::TransformationEstimation< PointT, PointT, Scalar >::Matrix4
Eigen::Matrix< Scalar, 4, 4 > Matrix4
Definition: transformation_estimation.h:64
pcl::PointCloud< PointSource >
pcl::registration::TransformationEstimationSVD::use_umeyama_
bool use_umeyama_
Definition: transformation_estimation_svd.h:148
pcl::registration::TransformationEstimationSVD::getTransformationFromCorrelation
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.
Definition: transformation_estimation_svd.hpp:186
pcl::ConstCloudIterator
Iterator class for point clouds with or without given indices.
Definition: cloud_iterator.h:120
pcl::Correspondences
std::vector< pcl::Correspondence, Eigen::aligned_allocator< pcl::Correspondence > > Correspondences
Definition: correspondence.h:89
pcl::registration::TransformationEstimation< PointT, PointT, Scalar >::ConstPtr
shared_ptr< const TransformationEstimation< PointT, PointT, Scalar > > ConstPtr
Definition: transformation_estimation.h:120
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::TransformationEstimation< PointT, PointT, Scalar >::Ptr
shared_ptr< TransformationEstimation< PointT, PointT, Scalar > > Ptr
Definition: transformation_estimation.h:118
pcl::registration::TransformationEstimationSVD::TransformationEstimationSVD
TransformationEstimationSVD(bool use_umeyama=true)
Constructor.
Definition: transformation_estimation_svd.h:69
pcl::registration::TransformationEstimation
TransformationEstimation represents the base class for methods for transformation estimation based on...
Definition: transformation_estimation.h:62