correspondence_estimation_organized_projection.hpp

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#ifndef PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_ORGANIZED_PROJECTION_IMPL_HPP_
#define PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_ORGANIZED_PROJECTION_IMPL_HPP_
 
namespace pcl {
 
namespace registration {
 
template <typename PointSource, typename PointTarget, typename Scalar>
bool
CorrespondenceEstimationOrganizedProjection<PointSource, PointTarget, Scalar>::
    initCompute()
{
  // Set the target_cloud_updated_ variable to true, so that the kd-tree is not built -
  // it is not needed for this class
  target_cloud_updated_ = false;
  if (!CorrespondenceEstimationBase<PointSource, PointTarget, Scalar>::initCompute())
    return (false);
 
  /// Check if the target cloud is organized
  if (!target_->isOrganized()) {
    PCL_WARN("[pcl::registration::%s::initCompute] Target cloud is not organized.\n",
             getClassName().c_str());
    return (false);
  }
 
  /// Put the projection matrix together
  projection_matrix_(0, 0) = fx_;
  projection_matrix_(1, 1) = fy_;
  projection_matrix_(0, 2) = cx_;
  projection_matrix_(1, 2) = cy_;
 
  return (true);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
void
CorrespondenceEstimationOrganizedProjection<PointSource, PointTarget, Scalar>::
    determineCorrespondences(pcl::Correspondences& correspondences,
                             const double max_distance)
{
  if (!initCompute())
    return;
 
  correspondences.resize(indices_->size());
  std::size_t c_index = 0;
 
  for (const auto& src_idx : (*indices_)) {
    if (isFinite((*input_)[src_idx])) {
      const Eigen::Vector4f p_src(src_to_tgt_transformation_ *
                                  (*input_)[src_idx].getVector4fMap());
      const Eigen::Vector3f p_src3(p_src[0], p_src[1], p_src[2]);
      const Eigen::Vector3f uv(projection_matrix_ * p_src3);
 
      /// Check if the point was behind the camera
      if (uv[2] <= 0)
        continue;
 
      const int u = static_cast<int>(uv[0] / uv[2]);
      const int v = static_cast<int>(uv[1] / uv[2]);
 
      if (u >= 0 && u < static_cast<int>(target_->width) && v >= 0 &&
          v < static_cast<int>(target_->height)) {
        const PointTarget& pt_tgt = target_->at(u, v);
        if (!isFinite(pt_tgt))
          continue;
        /// Check if the depth difference is larger than the threshold
        if (std::abs(uv[2] - pt_tgt.z) > depth_threshold_)
          continue;
 
        const double dist = (p_src3 - pt_tgt.getVector3fMap()).norm();
        if (dist < max_distance)
          correspondences[c_index++] = pcl::Correspondence(
              src_idx, v * target_->width + u, static_cast<float>(dist));
      }
    }
  }
 
  correspondences.resize(c_index);
}
 
template <typename PointSource, typename PointTarget, typename Scalar>
void
CorrespondenceEstimationOrganizedProjection<PointSource, PointTarget, Scalar>::
    determineReciprocalCorrespondences(pcl::Correspondences& correspondences,
                                       const double max_distance)
{
  // Call the normal determineCorrespondences (...), as doing it both ways will not
  // improve the results
  determineCorrespondences(correspondences, max_distance);
}
 
} // namespace registration
} // namespace pcl
 
#endif // PCL_REGISTRATION_CORRESPONDENCE_ESTIMATION_ORGANIZED_PROJECTION_IMPL_HPP_