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#pragma once

#include <pcl/cloud_iterator.h>


namespace pcl
{

namespace registration
{

template <typename PointSource, typename PointTarget, typename Scalar> inline void
TransformationEstimationSymmetricPointToPlaneLLS<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.points.size ();
  if (cloud_tgt.points.size () != nr_points)
  {
    PCL_ERROR ("[pcl::TransformationEstimationSymmetricPointToPlaneLLS::estimateRigidTransformation] Number or points in source (%lu) differs from target (%lu)!\n", nr_points, cloud_tgt.points.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
TransformationEstimationSymmetricPointToPlaneLLS<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.points.size () != nr_points)
  {
    PCL_ERROR ("[pcl::TransformationEstimationSymmetricPointToPlaneLLS::estimateRigidTransformation] Number or points in source (%lu) differs than target (%lu)!\n", indices_src.size (), cloud_tgt.points.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
TransformationEstimationSymmetricPointToPlaneLLS<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 (%lu) differs than target (%lu)!\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
TransformationEstimationSymmetricPointToPlaneLLS<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
TransformationEstimationSymmetricPointToPlaneLLS<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
TransformationEstimationSymmetricPointToPlaneLLS<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
TransformationEstimationSymmetricPointToPlaneLLS<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
TransformationEstimationSymmetricPointToPlaneLLS<PointSource, PointTarget, Scalar>::
getEnforceSameDirectionNormals ()
{
    return enforce_same_direction_normals_;
}

} // namespace registration
} // namespace pcl

