Пример #1
0
template <typename PointSource, typename PointTarget> inline void
pcl::registration::TransformationEstimationSVD<PointSource, PointTarget>::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,
    Eigen::Matrix4f &transformation_matrix)
{
  if (indices_src.size () != indices_tgt.size ())
  {
    PCL_ERROR ("[pcl::TransformationEstimationSVD::estimateRigidTransformation] Number or points in source (%lu) differs than target (%lu)!\n", (unsigned long)indices_src.size (), (unsigned long)indices_tgt.size ());
    return;
  }

  // <cloud_src,cloud_src> is the source dataset
  transformation_matrix.setIdentity ();

  Eigen::Vector4f centroid_src, centroid_tgt;
  // Estimate the centroids of source, target
  compute3DCentroid (cloud_src, indices_src, centroid_src);
  compute3DCentroid (cloud_tgt, indices_tgt, centroid_tgt);

  // Subtract the centroids from source, target
  Eigen::MatrixXf cloud_src_demean;
  demeanPointCloud (cloud_src, indices_src, centroid_src, cloud_src_demean);

  Eigen::MatrixXf cloud_tgt_demean;
  demeanPointCloud (cloud_tgt, indices_tgt, centroid_tgt, cloud_tgt_demean);

  getTransformationFromCorrelation (cloud_src_demean, centroid_src, cloud_tgt_demean, centroid_tgt, transformation_matrix);
}
Пример #2
0
template <typename PointSource, typename PointTarget> inline void
pcl::registration::TransformationEstimationSVD<PointSource, PointTarget>::estimateRigidTransformation (
    const pcl::PointCloud<PointSource> &cloud_src,
    const pcl::PointCloud<PointTarget> &cloud_tgt,
    const pcl::Correspondences &correspondences,
    Eigen::Matrix4f &transformation_matrix)
{
  std::vector<int> indices_src, indices_tgt;
  pcl::registration::getQueryIndices (correspondences, indices_src);
  pcl::registration::getMatchIndices (correspondences, indices_tgt);

  // <cloud_src,cloud_src> is the source dataset
  Eigen::Vector4f centroid_src, centroid_tgt;
  // Estimate the centroids of source, target
  compute3DCentroid (cloud_src, indices_src, centroid_src);
  compute3DCentroid (cloud_tgt, indices_tgt, centroid_tgt);

  // Subtract the centroids from source, target
  Eigen::MatrixXf cloud_src_demean;
  demeanPointCloud (cloud_src, indices_src, centroid_src, cloud_src_demean);

  Eigen::MatrixXf cloud_tgt_demean;
  demeanPointCloud (cloud_tgt, indices_tgt, centroid_tgt, cloud_tgt_demean);

  getTransformationFromCorrelation (cloud_src_demean, centroid_src, cloud_tgt_demean, centroid_tgt, transformation_matrix);
}
Пример #3
0
template <typename PointSource, typename PointTarget, typename Scalar> inline void
pcl::registration::TransformationEstimationSVD<PointSource, PointTarget, Scalar>::estimateRigidTransformation (
    ConstCloudIterator<PointSource>& source_it,
    ConstCloudIterator<PointTarget>& target_it,
    Matrix4 &transformation_matrix) const
{
  // Convert to Eigen format
  const int npts = static_cast <int> (source_it.size ());

  Eigen::Matrix<Scalar, 3, Eigen::Dynamic> cloud_src (3, npts);
  Eigen::Matrix<Scalar, 3, Eigen::Dynamic> cloud_tgt (3, npts);

  for (int i = 0; i < npts; ++i)
  {
    cloud_src (0, i) = source_it->x;
    cloud_src (1, i) = source_it->y;
    cloud_src (2, i) = source_it->z;
    ++source_it;

    cloud_tgt (0, i) = target_it->x;
    cloud_tgt (1, i) = target_it->y;
    cloud_tgt (2, i) = target_it->z;
    ++target_it;
  }

  if (use_umeyama_)
  {
    // Call Umeyama directly from Eigen (PCL patched version until Eigen is released)
    transformation_matrix = pcl::umeyama (cloud_src, cloud_tgt, false);
  }
  else
  {
    source_it.reset (); target_it.reset ();
    // <cloud_src,cloud_src> is the source dataset
    transformation_matrix.setIdentity ();

    Eigen::Matrix<Scalar, 4, 1> centroid_src, centroid_tgt;
    // Estimate the centroids of source, target
    compute3DCentroid (source_it, centroid_src);
    compute3DCentroid (target_it, centroid_tgt);
    source_it.reset (); target_it.reset ();

    // Subtract the centroids from source, target
    Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> cloud_src_demean, cloud_tgt_demean;
    demeanPointCloud (source_it, centroid_src, cloud_src_demean);
    demeanPointCloud (target_it, centroid_tgt, cloud_tgt_demean);

    getTransformationFromCorrelation (cloud_src_demean, centroid_src, cloud_tgt_demean, centroid_tgt, transformation_matrix);
  }
}
template <typename PointSource, typename PointTarget, typename Scalar> inline void
pcl::registration::TransformationEstimationTranslation<PointSource, PointTarget, Scalar>::estimateRigidTransformation (
    ConstCloudIterator<PointSource>& source_it,
    ConstCloudIterator<PointTarget>& target_it,
    Matrix4 &transformation_matrix) const
{
    source_it.reset (); target_it.reset ();
    // <cloud_src,cloud_src> is the source dataset
    transformation_matrix.setIdentity ();

    Eigen::Matrix<Scalar, 4, 1> centroid_src, centroid_tgt;    
    // Estimate the centroids of source, target
    compute3DCentroid (source_it, centroid_src);
    compute3DCentroid (target_it, centroid_tgt);
    source_it.reset (); target_it.reset (); 

    getTransformationFromCorrelation (centroid_src, centroid_tgt, transformation_matrix);

}
Пример #5
0
template <typename PointSource, typename PointTarget> inline void
pcl::registration::TransformationEstimationSVD<PointSource, PointTarget>::estimateRigidTransformation (
    const pcl::PointCloud<PointSource> &cloud_src,
    const pcl::PointCloud<PointTarget> &cloud_tgt,
    Eigen::Matrix4f &transformation_matrix)
{
  // <cloud_src,cloud_src> is the source dataset
  transformation_matrix.setIdentity ();

  Eigen::Vector4f centroid_src, centroid_tgt;
  // Estimate the centroids of source, target
  compute3DCentroid (cloud_src, centroid_src);
  compute3DCentroid (cloud_tgt, centroid_tgt);

  // Subtract the centroids from source, target
  Eigen::MatrixXf cloud_src_demean;
  demeanPointCloud (cloud_src, centroid_src, cloud_src_demean);

  Eigen::MatrixXf cloud_tgt_demean;
  demeanPointCloud (cloud_tgt, centroid_tgt, cloud_tgt_demean);

  getTransformationFromCorrelation (cloud_src_demean, centroid_src, cloud_tgt_demean, centroid_tgt, transformation_matrix);
}
Пример #6
0
template <typename PointSource, typename PointTarget, typename Scalar> inline void
pcl::registration::TransformationEstimation2D<PointSource, PointTarget, Scalar>::estimateRigidTransformation (
    ConstCloudIterator<PointSource>& source_it,
    ConstCloudIterator<PointTarget>& target_it,
    Matrix4 &transformation_matrix) const
{
  source_it.reset (); target_it.reset ();

  Eigen::Matrix<Scalar, 4, 1> centroid_src, centroid_tgt;
  // Estimate the centroids of source, target
  compute3DCentroid (source_it, centroid_src);
  compute3DCentroid (target_it, centroid_tgt);
  source_it.reset (); target_it.reset ();

  // ignore z component
  centroid_src[2] = 0.0f;
  centroid_tgt[2] = 0.0f;
  // Subtract the centroids from source, target
  Eigen::Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic> cloud_src_demean, cloud_tgt_demean;
  demeanPointCloud (source_it, centroid_src, cloud_src_demean);
  demeanPointCloud (target_it, centroid_tgt, cloud_tgt_demean);

  getTransformationFromCorrelation (cloud_src_demean, centroid_src, cloud_tgt_demean, centroid_tgt, transformation_matrix);
}