/*
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 *  Point Cloud Library (PCL) - www.pointclouds.org
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 * $Id: io.h 2413 2011-09-07 07:01:00Z rusu $
 *
 */

#pragma once

#include <pcl/point_cloud.h>

namespace pcl
{
  /** \brief Get a set of approximate indices for a given point cloud into a reference point cloud. 
    * The coordinates of the two point clouds can differ. The method uses an internal KdTree for 
    * finding the closest neighbors from \a cloud_in in \a cloud_ref. 
    *
    * \param[in] cloud_in the input point cloud dataset
    * \param[in] cloud_ref the reference point cloud dataset
    * \param[out] indices the resultant set of nearest neighbor indices of \a cloud_in in \a cloud_ref
    * \ingroup kdtree
    */
  template <typename PointT> void
  getApproximateIndices (const typename pcl::PointCloud<PointT>::ConstPtr &cloud_in,
                         const typename pcl::PointCloud<PointT>::ConstPtr &cloud_ref,
                         Indices &indices);

  /** \brief Get a set of approximate indices for a given point cloud into a reference point cloud. 
    * The coordinates of the two point clouds can differ. The method uses an internal KdTree for 
    * finding the closest neighbors from \a cloud_in in \a cloud_ref. 
    *
    * \param[in] cloud_in the input point cloud dataset
    * \param[in] cloud_ref the reference point cloud dataset
    * \param[out] indices the resultant set of nearest neighbor indices of \a cloud_in in \a cloud_ref
    * \ingroup kdtree
    */
  template <typename Point1T, typename Point2T> void
  getApproximateIndices (const typename pcl::PointCloud<Point1T>::ConstPtr &cloud_in,
                         const typename pcl::PointCloud<Point2T>::ConstPtr &cloud_ref,
                         Indices &indices);
}

#include <pcl/kdtree/impl/io.hpp>
