transformation_estimation_symmetric_point_to_plane_lls_impl.h

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// TODO(rsoussan): Remove this file from repo when PCL updated to version >= 1.10
#ifndef POINT_CLOUD_COMMON_TRANSFORMATION_ESTIMATION_SYMMETRIC_POINT_TO_PLANE_LLS_IMPL_H_
#define POINT_CLOUD_COMMON_TRANSFORMATION_ESTIMATION_SYMMETRIC_POINT_TO_PLANE_LLS_IMPL_H_
 
#include <pcl/cloud_iterator.h>
 
#include <vector>
 
namespace pcl {
 
namespace registration {
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline void
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::estimateRigidTransformation(
  const pcl::PointCloud<PointSource>& cloud_src, const pcl::PointCloud<PointTarget>& cloud_tgt,
  Matrix4& transformation_matrix) const {
  const auto nr_points = cloud_src.size();
  if (cloud_tgt.size() != nr_points) {
    PCL_ERROR(
      "[pcl::TransformationEstimationSymmetricPointToPlaneLLS::"
      "estimateRigidTransformation] Number or points in source (%zu) differs "
      "from target (%zu)!\n",
      static_cast<std::size_t>(nr_points), static_cast<std::size_t>(cloud_tgt.size()));
    return;
  }
 
  ConstCloudIterator<PointSource> source_it(cloud_src);
  ConstCloudIterator<PointTarget> target_it(cloud_tgt);
  estimateRigidTransformation(source_it, target_it, transformation_matrix);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
void TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::estimateRigidTransformation(
  const pcl::PointCloud<PointSource>& cloud_src, const std::vector<int>& indices_src,
  const pcl::PointCloud<PointTarget>& cloud_tgt, Matrix4& transformation_matrix) const {
  const auto nr_points = indices_src.size();
  if (cloud_tgt.size() != nr_points) {
    PCL_ERROR(
      "[pcl::TransformationEstimationSymmetricPointToPlaneLLS::"
      "estimateRigidTransformation] Number or points in source (%zu) differs "
      "than target (%zu)!\n",
      indices_src.size(), static_cast<std::size_t>(cloud_tgt.size()));
    return;
  }
 
  ConstCloudIterator<PointSource> source_it(cloud_src, indices_src);
  ConstCloudIterator<PointTarget> target_it(cloud_tgt);
  estimateRigidTransformation(source_it, target_it, transformation_matrix);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline void
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::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 {
  const auto nr_points = indices_src.size();
  if (indices_tgt.size() != nr_points) {
    PCL_ERROR(
      "[pcl::TransformationEstimationSymmetricPointToPlaneLLS::"
      "estimateRigidTransformation] Number or points in source (%zu) differs "
      "than target (%zu)!\n",
      indices_src.size(), indices_tgt.size());
    return;
  }
 
  ConstCloudIterator<PointSource> source_it(cloud_src, indices_src);
  ConstCloudIterator<PointTarget> target_it(cloud_tgt, indices_tgt);
  estimateRigidTransformation(source_it, target_it, transformation_matrix);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline void
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::estimateRigidTransformation(
  const pcl::PointCloud<PointSource>& cloud_src, const pcl::PointCloud<PointTarget>& cloud_tgt,
  const pcl::Correspondences& correspondences, Matrix4& transformation_matrix) const {
  ConstCloudIterator<PointSource> source_it(cloud_src, correspondences, true);
  ConstCloudIterator<PointTarget> target_it(cloud_tgt, correspondences, false);
  estimateRigidTransformation(source_it, target_it, transformation_matrix);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline void
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::constructTransformationMatrix(
  const Vector6& parameters, Matrix4& transformation_matrix) const {
  // Construct the transformation matrix from rotation and translation
  const Eigen::AngleAxis<Scalar> rotation_z(parameters(2), Eigen::Matrix<Scalar, 3, 1>::UnitZ());
  const Eigen::AngleAxis<Scalar> rotation_y(parameters(1), Eigen::Matrix<Scalar, 3, 1>::UnitY());
  const Eigen::AngleAxis<Scalar> rotation_x(parameters(0), Eigen::Matrix<Scalar, 3, 1>::UnitX());
  const Eigen::Translation<Scalar, 3> translation(parameters(3), parameters(4), parameters(5));
  const Eigen::Transform<Scalar, 3, Eigen::Affine> transform =
    rotation_z * rotation_y * rotation_x * translation * rotation_z * rotation_y * rotation_x;
  transformation_matrix = transform.matrix();
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline void
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::estimateRigidTransformation(
  ConstCloudIterator<PointSource>& source_it, ConstCloudIterator<PointTarget>& target_it,
  Matrix4& transformation_matrix) const {
  using Matrix6 = Eigen::Matrix<Scalar, 6, 6>;
  using Vector3 = Eigen::Matrix<Scalar, 3, 1>;
 
  Matrix6 ATA;
  Vector6 ATb;
  ATA.setZero();
  ATb.setZero();
  auto M = ATA.template selfadjointView<Eigen::Upper>();
 
  // Approximate as a linear least squares problem
  source_it.reset();
  target_it.reset();
  for (; source_it.isValid() && target_it.isValid(); ++source_it, ++target_it) {
    const Vector3 p(source_it->x, source_it->y, source_it->z);
    const Vector3 q(target_it->x, target_it->y, target_it->z);
    const Vector3 n1(source_it->getNormalVector3fMap().template cast<Scalar>());
    const Vector3 n2(target_it->getNormalVector3fMap().template cast<Scalar>());
    Vector3 n;
    if (enforce_same_direction_normals_) {
      if (n1.dot(n2) >= 0.)
        n = n1 + n2;
      else
        n = n1 - n2;
    } else {
      n = n1 + n2;
    }
 
    if (!p.array().isFinite().all() || !q.array().isFinite().all() || !n.array().isFinite().all()) {
      continue;
    }
 
    Vector6 v;
    v << (p + q).cross(n), n;
    M.rankUpdate(v);
 
    ATb += v * (q - p).dot(n);
  }
 
  // Solve A*x = b
  const Vector6 x = M.ldlt().solve(ATb);
 
  // Construct the transformation matrix from x
  constructTransformationMatrix(x, transformation_matrix);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline void
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::setEnforceSameDirectionNormals(
  bool enforce_same_direction_normals) {
  enforce_same_direction_normals_ = enforce_same_direction_normals;
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
inline bool
TransformationEstimationSymmetricPointToPlaneLLS2<PointSource, PointTarget, Scalar>::getEnforceSameDirectionNormals() {
  return enforce_same_direction_normals_;
}
 
}  // namespace registration
}  // namespace pcl
#endif  // POINT_CLOUD_COMMON_TRANSFORMATION_ESTIMATION_SYMMETRIC_POINT_TO_PLANE_LLS_IMPL_H_