transformation_estimation_symmetric_point_to_plane_lls.h

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#pragma once
 
#include <pcl/registration/transformation_estimation.h>
#include <pcl/cloud_iterator.h>
 
namespace pcl {
namespace registration {
/** \brief @b TransformationEstimationSymmetricPointToPlaneLLS implements a Linear Least
 * Squares (LLS) approximation for minimizing the symmetric point-to-plane distance
 * between two clouds of corresponding points with normals.
 *
 * For additional details, see
 *   "Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration",
 * Kok-Lim Low, 2004 "A Symmetric Objective Function for ICP", Szymon Rusinkiewicz, 2019
 *
 * \note The class is templated on the source and target point types as well as on the
 * output scalar of the transformation matrix (i.e., float or double). Default: float.
 * \author Matthew Cong
 * \ingroup registration
 */
template <typename PointSource, typename PointTarget, typename Scalar = float>
class TransformationEstimationSymmetricPointToPlaneLLS
: public TransformationEstimation<PointSource, PointTarget, Scalar> {
public:
  using Ptr = shared_ptr<TransformationEstimationSymmetricPointToPlaneLLS<PointSource,
                                                                          PointTarget,
                                                                          Scalar>>;
  using ConstPtr =
      shared_ptr<const TransformationEstimationSymmetricPointToPlaneLLS<PointSource,
                                                                        PointTarget,
                                                                        Scalar>>;
 
  using Matrix4 =
      typename TransformationEstimation<PointSource, PointTarget, Scalar>::Matrix4;
  using Vector6 = Eigen::Matrix<Scalar, 6, 1>;
 
  TransformationEstimationSymmetricPointToPlaneLLS()
  : enforce_same_direction_normals_(true){};
  ~TransformationEstimationSymmetricPointToPlaneLLS(){};
 
  /** \brief Estimate a rigid rotation transformation between a source and a target
   * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
   * \param[in] cloud_tgt the target point cloud dataset
   * \param[out] transformation_matrix the resultant transformation matrix
   */
  inline void
  estimateRigidTransformation(const pcl::PointCloud<PointSource>& cloud_src,
                              const pcl::PointCloud<PointTarget>& cloud_tgt,
                              Matrix4& transformation_matrix) const override;
 
  /** \brief Estimate a rigid rotation transformation between a source and a target
   * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
   * \param[in] indices_src the vector of indices describing the points of interest in
   * \a cloud_src \param[in] cloud_tgt the target point cloud dataset \param[out]
   * transformation_matrix the resultant transformation matrix
   */
  inline void
  estimateRigidTransformation(const pcl::PointCloud<PointSource>& cloud_src,
                              const std::vector<int>& indices_src,
                              const pcl::PointCloud<PointTarget>& cloud_tgt,
                              Matrix4& transformation_matrix) const override;
 
  /** \brief Estimate a rigid rotation transformation between a source and a target
   * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
   * \param[in] indices_src the vector of indices describing the points of interest in
   * \a cloud_src \param[in] cloud_tgt the target point cloud dataset \param[in]
   * indices_tgt the vector of indices describing the correspondences of the interest
   * points from \a indices_src \param[out] transformation_matrix the resultant
   * transformation matrix
   */
  inline void
  estimateRigidTransformation(const pcl::PointCloud<PointSource>& cloud_src,
                              const std::vector<int>& indices_src,
                              const pcl::PointCloud<PointTarget>& cloud_tgt,
                              const std::vector<int>& indices_tgt,
                              Matrix4& transformation_matrix) const override;
 
  /** \brief Estimate a rigid rotation transformation between a source and a target
   * point cloud using SVD. \param[in] cloud_src the source point cloud dataset
   * \param[in] cloud_tgt the target point cloud dataset
   * \param[in] correspondences the vector of correspondences between source and target
   * point cloud \param[out] transformation_matrix the resultant transformation matrix
   */
  inline void
  estimateRigidTransformation(const pcl::PointCloud<PointSource>& cloud_src,
                              const pcl::PointCloud<PointTarget>& cloud_tgt,
                              const pcl::Correspondences& correspondences,
                              Matrix4& transformation_matrix) const override;
 
  /** \brief Set whether or not to negate source or target normals on a per-point basis
   * such that they point in the same direction. \param[in]
   * enforce_same_direction_normals whether to negate source or target normals on a
   * per-point basis such that they point in the same direction.
   */
  inline void
  setEnforceSameDirectionNormals(bool enforce_same_direction_normals);
 
  /** \brief Obtain whether source or target normals are negated on a per-point basis
   * such that they point in the same direction or not */
  inline bool
  getEnforceSameDirectionNormals();
 
protected:
  /** \brief Estimate a rigid rotation transformation between a source and a target
   * \param[in] source_it an iterator over the source point cloud dataset
   * \param[in] target_it an iterator over the target point cloud dataset
   * \param[out] transformation_matrix the resultant transformation matrix
   */
  void
  estimateRigidTransformation(ConstCloudIterator<PointSource>& source_it,
                              ConstCloudIterator<PointTarget>& target_it,
                              Matrix4& transformation_matrix) const;
 
  /** \brief Construct a 4 by 4 transformation matrix from the provided rotation and
   * translation. \param[in] parameters (alpha, beta, gamma, tx, ty, tz) specifying
   * rotation about the x, y, and z-axis and translation along the the x, y, and z-axis
   * respectively \param[out] transformation_matrix the resultant transformation matrix
   */
  inline void
  constructTransformationMatrix(const Vector6& parameters,
                                Matrix4& transformation_matrix) const;
 
  /** \brief Whether or not to negate source and/or target normals such that they point
   * in the same direction */
  bool enforce_same_direction_normals_;
};
} // namespace registration
} // namespace pcl
 
#include <pcl/registration/impl/transformation_estimation_symmetric_point_to_plane_lls.hpp>