io.hpp

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#ifndef PCL_IO_IMPL_IO_HPP_
#define PCL_IO_IMPL_IO_HPP_

#include <pcl/common/concatenate.h>
#include <pcl/point_types.h>

template <typename PointT> int
pcl::getFieldIndex (const pcl::PointCloud<PointT> &, 
                    const std::string &field_name, 
                    std::vector<pcl::PCLPointField> &fields)
{
  fields.clear ();
  // Get the fields list
  pcl::for_each_type<typename pcl::traits::fieldList<PointT>::type>(pcl::detail::FieldAdder<PointT>(fields));
  for (size_t d = 0; d < fields.size (); ++d)
    if (fields[d].name == field_name)
      return (static_cast<int>(d));
  return (-1);
}

template <typename PointT> int
pcl::getFieldIndex (const std::string &field_name, 
                    std::vector<pcl::PCLPointField> &fields)
{
  fields.clear ();
  // Get the fields list
  pcl::for_each_type<typename pcl::traits::fieldList<PointT>::type>(pcl::detail::FieldAdder<PointT>(fields));
  for (size_t d = 0; d < fields.size (); ++d)
    if (fields[d].name == field_name)
      return (static_cast<int>(d));
  return (-1);
}

template <typename PointT> void
pcl::getFields (const pcl::PointCloud<PointT> &, std::vector<pcl::PCLPointField> &fields)
{
  fields.clear ();
  // Get the fields list
  pcl::for_each_type<typename pcl::traits::fieldList<PointT>::type>(pcl::detail::FieldAdder<PointT>(fields));
}

template <typename PointT> void
pcl::getFields (std::vector<pcl::PCLPointField> &fields)
{
  fields.clear ();
  // Get the fields list
  pcl::for_each_type<typename pcl::traits::fieldList<PointT>::type>(pcl::detail::FieldAdder<PointT>(fields));
}

template <typename PointT> std::string
pcl::getFieldsList (const pcl::PointCloud<PointT> &)
{
  // Get the fields list
  std::vector<pcl::PCLPointField> fields;
  pcl::for_each_type<typename pcl::traits::fieldList<PointT>::type>(pcl::detail::FieldAdder<PointT>(fields));
  std::string result;
  for (size_t i = 0; i < fields.size () - 1; ++i)
    result += fields[i].name + " ";
  result += fields[fields.size () - 1].name;
  return (result);
}

template <typename PointInT, typename PointOutT> void
pcl::copyPointCloud (const pcl::PointCloud<PointInT> &cloud_in, 
                     pcl::PointCloud<PointOutT> &cloud_out)
{
  // Copy all the data fields from the input cloud to the output one
  typedef typename pcl::traits::fieldList<PointInT>::type FieldListInT;
  typedef typename pcl::traits::fieldList<PointOutT>::type FieldListOutT;
  typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 

  cloud_out.header   = cloud_in.header;
  cloud_out.width    = cloud_in.width;
  cloud_out.height   = cloud_in.height;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;
  cloud_out.points.resize (cloud_in.points.size ());

  // If the point types are the same, don't copy one by one
  if (isSamePointType<PointInT, PointOutT> ())
  {
    memcpy (&cloud_out.points[0], &cloud_in.points[0], cloud_in.points.size () * sizeof (PointInT));
    return;
  }

  std::vector<pcl::PCLPointField> fields_in, fields_out;
  pcl::for_each_type<FieldListInT> (pcl::detail::FieldAdder<PointInT> (fields_in));
  pcl::for_each_type<FieldListOutT> (pcl::detail::FieldAdder<PointOutT> (fields_out));

  // RGB vs RGBA is an official missmatch until PCL 2.0, so we need to search for it and 
  // fix it manually
  int rgb_idx_in = -1, rgb_idx_out = -1;
  for (size_t i = 0; i < fields_in.size (); ++i)
    if (fields_in[i].name == "rgb" || fields_in[i].name == "rgba")
    {
      rgb_idx_in = int (i);
      break;
    }
  for (size_t i = 0; i < fields_out.size (); ++i)
    if (fields_out[i].name == "rgb" || fields_out[i].name == "rgba")
    {
      rgb_idx_out = int (i);
      break;
    }

  // We have one of the two cases: RGB vs RGBA or RGBA vs RGB
  if (rgb_idx_in != -1 && rgb_idx_out != -1 && 
      fields_in[rgb_idx_in].name != fields_out[rgb_idx_out].name)
  {
    size_t field_size_in  = getFieldSize (fields_in[rgb_idx_in].datatype),
           field_size_out = getFieldSize (fields_out[rgb_idx_out].datatype);

    if (field_size_in == field_size_out)
    {
      for (size_t i = 0; i < cloud_in.points.size (); ++i)
      {
        // Copy the rest
        pcl::for_each_type<FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[i], cloud_out.points[i]));
        // Copy RGB<->RGBA
        memcpy (reinterpret_cast<char*> (&cloud_out.points[i]) + fields_out[rgb_idx_out].offset, reinterpret_cast<const char*> (&cloud_in.points[i]) + fields_in[rgb_idx_in].offset, field_size_in);
      }
      return;
    }
  }

  // Iterate over each point if no RGB/RGBA or if their size is different
  for (size_t i = 0; i < cloud_in.points.size (); ++i)
    // Iterate over each dimension
    pcl::for_each_type<FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[i], cloud_out.points[i]));
}

template <typename PointT> void
pcl::copyPointCloud (const pcl::PointCloud<PointT> &cloud_in, 
                     const std::vector<int> &indices,
                     pcl::PointCloud<PointT> &cloud_out)
{
  // Do we want to copy everything?
  if (indices.size () == cloud_in.points.size ())
  {
    cloud_out = cloud_in;
    return;
  }

  // Allocate enough space and copy the basics
  cloud_out.points.resize (indices.size ());
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = static_cast<uint32_t>(indices.size ());
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Iterate over each point
  for (size_t i = 0; i < indices.size (); ++i)
    cloud_out.points[i] = cloud_in.points[indices[i]];
}

template <typename PointT> void
pcl::copyPointCloud (const pcl::PointCloud<PointT> &cloud_in, 
                     const std::vector<int, Eigen::aligned_allocator<int> > &indices,
                     pcl::PointCloud<PointT> &cloud_out)
{
  // Do we want to copy everything?
  if (indices.size () == cloud_in.points.size ())
  {
    cloud_out = cloud_in;
    return;
  }

  // Allocate enough space and copy the basics
  cloud_out.points.resize (indices.size ());
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = static_cast<uint32_t> (indices.size ());
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Iterate over each point
  for (size_t i = 0; i < indices.size (); ++i)
    cloud_out.points[i] = cloud_in.points[indices[i]];
}

template <typename PointInT, typename PointOutT> void
pcl::copyPointCloud (const pcl::PointCloud<PointInT> &cloud_in, 
                     const std::vector<int> &indices,
                     pcl::PointCloud<PointOutT> &cloud_out)
{
  // Allocate enough space and copy the basics
  cloud_out.points.resize (indices.size ());
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = uint32_t (indices.size ());
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Copy all the data fields from the input cloud to the output one
  typedef typename pcl::traits::fieldList<PointInT>::type FieldListInT;
  typedef typename pcl::traits::fieldList<PointOutT>::type FieldListOutT;
  typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 

  // If the point types are the same, don't copy one by one
  if (isSamePointType<PointInT, PointOutT> ())
  {
    // Iterate over each point
    for (size_t i = 0; i < indices.size (); ++i)
      memcpy (&cloud_out.points[i], &cloud_in.points[indices[i]], sizeof (PointInT));
    return;
  }

  std::vector<pcl::PCLPointField> fields_in, fields_out;
  pcl::for_each_type<FieldListInT> (pcl::detail::FieldAdder<PointInT> (fields_in));
  pcl::for_each_type<FieldListOutT> (pcl::detail::FieldAdder<PointOutT> (fields_out));

  // RGB vs RGBA is an official missmatch until PCL 2.0, so we need to search for it and 
  // fix it manually
  int rgb_idx_in = -1, rgb_idx_out = -1;
  for (size_t i = 0; i < fields_in.size (); ++i)
    if (fields_in[i].name == "rgb" || fields_in[i].name == "rgba")
    {
      rgb_idx_in = int (i);
      break;
    }
  for (size_t i = 0; int (i) < fields_out.size (); ++i)
    if (fields_out[i].name == "rgb" || fields_out[i].name == "rgba")
    {
      rgb_idx_out = int (i);
      break;
    }

  // We have one of the two cases: RGB vs RGBA or RGBA vs RGB
  if (rgb_idx_in != -1 && rgb_idx_out != -1 && 
      fields_in[rgb_idx_in].name != fields_out[rgb_idx_out].name)
  {
    size_t field_size_in  = getFieldSize (fields_in[rgb_idx_in].datatype),
           field_size_out = getFieldSize (fields_out[rgb_idx_out].datatype);

    if (field_size_in == field_size_out)
    {
      for (size_t i = 0; i < indices.size (); ++i)
      {
        // Copy the rest
        pcl::for_each_type<FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices[i]], cloud_out.points[i]));
        // Copy RGB<->RGBA
        memcpy (reinterpret_cast<char*> (&cloud_out.points[indices[i]]) + fields_out[rgb_idx_out].offset, reinterpret_cast<const char*> (&cloud_in.points[i]) + fields_in[rgb_idx_in].offset, field_size_in);
      }
      return;
    }
  }

  // Iterate over each point if no RGB/RGBA or if their size is different
  for (size_t i = 0; i < indices.size (); ++i)
    // Iterate over each dimension
    pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices[i]], cloud_out.points[i]));
}

template <typename PointInT, typename PointOutT> void
pcl::copyPointCloud (const pcl::PointCloud<PointInT> &cloud_in, 
                     const std::vector<int, Eigen::aligned_allocator<int> > &indices,
                     pcl::PointCloud<PointOutT> &cloud_out)
{
  // Allocate enough space and copy the basics
  cloud_out.points.resize (indices.size ());
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = static_cast<uint32_t> (indices.size ());
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Copy all the data fields from the input cloud to the output one
  typedef typename pcl::traits::fieldList<PointInT>::type FieldListInT;
  typedef typename pcl::traits::fieldList<PointOutT>::type FieldListOutT;
  typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 

  // If the point types are the same, don't copy one by one
  if (isSamePointType<PointInT, PointOutT> ())
  {
    // Iterate over each point
    for (size_t i = 0; i < indices.size (); ++i)
      memcpy (&cloud_out.points[i], &cloud_in.points[indices[i]], sizeof (PointInT));
    return;
  }

  std::vector<pcl::PCLPointField> fields_in, fields_out;
  pcl::for_each_type<FieldListInT> (pcl::detail::FieldAdder<PointInT> (fields_in));
  pcl::for_each_type<FieldListOutT> (pcl::detail::FieldAdder<PointOutT> (fields_out));

  // RGB vs RGBA is an official missmatch until PCL 2.0, so we need to search for it and 
  // fix it manually
  int rgb_idx_in = -1, rgb_idx_out = -1;
  for (size_t i = 0; i < fields_in.size (); ++i)
    if (fields_in[i].name == "rgb" || fields_in[i].name == "rgba")
    {
      rgb_idx_in = int (i);
      break;
    }
  for (size_t i = 0; i < fields_out.size (); ++i)
    if (fields_out[i].name == "rgb" || fields_out[i].name == "rgba")
    {
      rgb_idx_out = int (i);
      break;
    }

  // We have one of the two cases: RGB vs RGBA or RGBA vs RGB
  if (rgb_idx_in != -1 && rgb_idx_out != -1 && 
      fields_in[rgb_idx_in].name != fields_out[rgb_idx_out].name)
  {
    size_t field_size_in  = getFieldSize (fields_in[rgb_idx_in].datatype),
           field_size_out = getFieldSize (fields_out[rgb_idx_out].datatype);

    if (field_size_in == field_size_out)
    {
      for (size_t i = 0; i < indices.size (); ++i)
      {
        // Copy the rest
        pcl::for_each_type<FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices[i]], cloud_out.points[i]));
        // Copy RGB<->RGBA
        memcpy (reinterpret_cast<char*> (&cloud_out.points[i]) + fields_out[rgb_idx_out].offset, reinterpret_cast<const char*> (&cloud_in.points[indices[i]]) + fields_in[rgb_idx_in].offset, field_size_in);
      }
      return;
    }
  }

  // Iterate over each point if no RGB/RGBA or if their size is different
  for (size_t i = 0; i < indices.size (); ++i)
    // Iterate over each dimension
    pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices[i]], cloud_out.points[i]));
}

template <typename PointT> void
pcl::copyPointCloud (const pcl::PointCloud<PointT> &cloud_in, 
                     const pcl::PointIndices &indices,
                     pcl::PointCloud<PointT> &cloud_out)
{
  // Do we want to copy everything?
  if (indices.indices.size () == cloud_in.points.size ())
  {
    cloud_out = cloud_in;
    return;
  }

  // Allocate enough space and copy the basics
  cloud_out.points.resize (indices.indices.size ());
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = indices.indices.size ();
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Iterate over each point
  for (size_t i = 0; i < indices.indices.size (); ++i)
    cloud_out.points[i] = cloud_in.points[indices.indices[i]];
}

template <typename PointInT, typename PointOutT> void
pcl::copyPointCloud (const pcl::PointCloud<PointInT> &cloud_in, 
                     const pcl::PointIndices &indices,
                     pcl::PointCloud<PointOutT> &cloud_out)
{
  // Allocate enough space and copy the basics
  cloud_out.points.resize (indices.indices.size ());
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = indices.indices.size ();
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Copy all the data fields from the input cloud to the output one
  typedef typename pcl::traits::fieldList<PointInT>::type FieldListInT;
  typedef typename pcl::traits::fieldList<PointOutT>::type FieldListOutT;
  typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 

  // If the point types are the same, don't copy one by one
  if (isSamePointType<PointInT, PointOutT> ())
  {
    // Iterate over each point
    for (size_t i = 0; i < indices.indices.size (); ++i)
      memcpy (&cloud_out.points[i], &cloud_in.points[indices.indices[i]], sizeof (PointInT));
    return;
  }
  
  std::vector<pcl::PCLPointField> fields_in, fields_out;
  pcl::for_each_type<FieldListInT> (pcl::detail::FieldAdder<PointInT> (fields_in));
  pcl::for_each_type<FieldListOutT> (pcl::detail::FieldAdder<PointOutT> (fields_out));

  // RGB vs RGBA is an official missmatch until PCL 2.0, so we need to search for it and 
  // fix it manually
  int rgb_idx_in = -1, rgb_idx_out = -1;
  for (size_t i = 0; i < fields_in.size (); ++i)
    if (fields_in[i].name == "rgb" || fields_in[i].name == "rgba")
    {
      rgb_idx_in = int (i);
      break;
    }
  for (size_t i = 0; i < fields_out.size (); ++i)
    if (fields_out[i].name == "rgb" || fields_out[i].name == "rgba")
    {
      rgb_idx_out = int (i);
      break;
    }

  // We have one of the two cases: RGB vs RGBA or RGBA vs RGB
  if (rgb_idx_in != -1 && rgb_idx_out != -1 && 
      fields_in[rgb_idx_in].name != fields_out[rgb_idx_out].name)
  {
    size_t field_size_in  = getFieldSize (fields_in[rgb_idx_in].datatype),
           field_size_out = getFieldSize (fields_out[rgb_idx_out].datatype);

    if (field_size_in == field_size_out)
    {
      for (size_t i = 0; i < indices.indices.size (); ++i)
      {
        // Copy the rest
        pcl::for_each_type<FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices.indices[i]], cloud_out.points[i]));
        // Copy RGB<->RGBA
        memcpy (reinterpret_cast<char*> (&cloud_out.points[indices.indices[i]]) + fields_out[rgb_idx_out].offset, reinterpret_cast<const char*> (&cloud_in.points[i]) + fields_in[rgb_idx_in].offset, field_size_in);
      }
      return;
    }
  }

  // Iterate over each point if no RGB/RGBA or if their size is different
  for (size_t i = 0; i < indices.indices.size (); ++i)
    // Iterate over each dimension
    pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices.indices[i]], cloud_out.points[i]));
}

template <typename PointT> void
pcl::copyPointCloud (const pcl::PointCloud<PointT> &cloud_in, 
                     const std::vector<pcl::PointIndices> &indices,
                     pcl::PointCloud<PointT> &cloud_out)
{
  int nr_p = 0;
  for (size_t i = 0; i < indices.size (); ++i)
    nr_p += indices[i].indices.size ();

  // Do we want to copy everything? Remember we assume UNIQUE indices
  if (nr_p == cloud_in.points.size ())
  {
    cloud_out = cloud_in;
    return;
  }

  // Allocate enough space and copy the basics
  cloud_out.points.resize (nr_p);
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = nr_p;
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Iterate over each cluster
  int cp = 0;
  for (size_t cc = 0; cc < indices.size (); ++cc)
  {
    // Iterate over each idx
    for (size_t i = 0; i < indices[cc].indices.size (); ++i)
    {
      // Iterate over each dimension
      cloud_out.points[cp] = cloud_in.points[indices[cc].indices[i]];
      cp++;
    }
  }
}

template <typename PointInT, typename PointOutT> void
pcl::copyPointCloud (const pcl::PointCloud<PointInT> &cloud_in, 
                     const std::vector<pcl::PointIndices> &indices,
                     pcl::PointCloud<PointOutT> &cloud_out)
{
  int nr_p = 0;
  for (size_t i = 0; i < indices.size (); ++i)
    nr_p += indices[i].indices.size ();

  // Do we want to copy everything? Remember we assume UNIQUE indices
  if (nr_p == cloud_in.points.size ())
  {
    copyPointCloud<PointInT, PointOutT> (cloud_in, cloud_out);
    return;
  }

  // Allocate enough space and copy the basics
  cloud_out.points.resize (nr_p);
  cloud_out.header   = cloud_in.header;
  cloud_out.width    = nr_p;
  cloud_out.height   = 1;
  cloud_out.is_dense = cloud_in.is_dense;
  cloud_out.sensor_orientation_ = cloud_in.sensor_orientation_;
  cloud_out.sensor_origin_ = cloud_in.sensor_origin_;

  // Copy all the data fields from the input cloud to the output one
  typedef typename pcl::traits::fieldList<PointInT>::type FieldListInT;
  typedef typename pcl::traits::fieldList<PointOutT>::type FieldListOutT;
  typedef typename pcl::intersect<FieldListInT, FieldListOutT>::type FieldList; 

  // If the point types are the same, don't copy one by one
  if (isSamePointType<PointInT, PointOutT> ())
  {
    // Iterate over each cluster
    int cp = 0;
    for (size_t cc = 0; cc < indices.size (); ++cc)
    {
      // Iterate over each idx
      for (size_t i = 0; i < indices[cc].indices.size (); ++i)
      {
        cloud_out.points[cp] = cloud_in.points[indices[cc].indices[i]];
        ++cp;
      }
    }
    return;
  }

  std::vector<pcl::PCLPointField> fields_in, fields_out;
  pcl::for_each_type<FieldListInT> (pcl::detail::FieldAdder<PointInT> (fields_in));
  pcl::for_each_type<FieldListOutT> (pcl::detail::FieldAdder<PointOutT> (fields_out));

  // RGB vs RGBA is an official missmatch until PCL 2.0, so we need to search for it and 
  // fix it manually
  int rgb_idx_in = -1, rgb_idx_out = -1;
  for (size_t i = 0; i < fields_in.size (); ++i)
    if (fields_in[i].name == "rgb" || fields_in[i].name == "rgba")
    {
      rgb_idx_in = int (i);
      break;
    }
  for (size_t i = 0; i < fields_out.size (); ++i)
    if (fields_out[i].name == "rgb" || fields_out[i].name == "rgba")
    {
      rgb_idx_out = int (i);
      break;
    }

  // We have one of the two cases: RGB vs RGBA or RGBA vs RGB
  if (rgb_idx_in != -1 && rgb_idx_out != -1 && 
      fields_in[rgb_idx_in].name != fields_out[rgb_idx_out].name)
  {
    size_t field_size_in  = getFieldSize (fields_in[rgb_idx_in].datatype),
           field_size_out = getFieldSize (fields_out[rgb_idx_out].datatype);

    if (field_size_in == field_size_out)
    {
      // Iterate over each cluster
      int cp = 0;
      for (size_t cc = 0; cc < indices.size (); ++cc)
      {
        // Iterate over each idx
        for (size_t i = 0; i < indices[cc].indices.size (); ++i)
        {
          // Iterate over each dimension
          pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices[cc].indices[i]], cloud_out.points[cp]));
          // Copy RGB<->RGBA
          memcpy (reinterpret_cast<char*> (&cloud_out.points[cp]) + fields_out[rgb_idx_out].offset, reinterpret_cast<const char*> (&cloud_in.points[indices[cp].indices[i]]) + fields_in[rgb_idx_in].offset, field_size_in);
          ++cp;
        }
      }
      return;
    }
  }

  // Iterate over each cluster
  int cp = 0;
  for (size_t cc = 0; cc < indices.size (); ++cc)
  {
    // Iterate over each idx
    for (size_t i = 0; i < indices[cc].indices.size (); ++i)
    {
      // Iterate over each dimension
      pcl::for_each_type <FieldList> (pcl::NdConcatenateFunctor <PointInT, PointOutT> (cloud_in.points[indices[cc].indices[i]], cloud_out.points[cp]));
      ++cp;
    }
  }
}

template <typename PointIn1T, typename PointIn2T, typename PointOutT> void
pcl::concatenateFields (const pcl::PointCloud<PointIn1T> &cloud1_in,
                        const pcl::PointCloud<PointIn2T> &cloud2_in,
                        pcl::PointCloud<PointOutT> &cloud_out)
{
  typedef typename pcl::traits::fieldList<PointIn1T>::type FieldList1;
  typedef typename pcl::traits::fieldList<PointIn2T>::type FieldList2;

  if (cloud1_in.points.size () != cloud2_in.points.size ())
  {
    PCL_ERROR ("[pcl::concatenateFields] The number of points in the two input datasets differs!\n");
    return;
  }

  // Resize the output dataset
  cloud_out.points.resize (cloud1_in.points.size ());
  cloud_out.header   = cloud1_in.header;
  cloud_out.width    = cloud1_in.width;
  cloud_out.height   = cloud1_in.height;
  if (!cloud1_in.is_dense || !cloud2_in.is_dense)
    cloud_out.is_dense = false;
  else
    cloud_out.is_dense = true;

  // Iterate over each point
  for (size_t i = 0; i < cloud_out.points.size (); ++i)
  {
    // Iterate over each dimension
    pcl::for_each_type <FieldList1> (pcl::NdConcatenateFunctor <PointIn1T, PointOutT> (cloud1_in.points[i], cloud_out.points[i]));
    pcl::for_each_type <FieldList2> (pcl::NdConcatenateFunctor <PointIn2T, PointOutT> (cloud2_in.points[i], cloud_out.points[i]));
  }
}

#endif // PCL_IO_IMPL_IO_H_