don.hpp

 /*
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  *  Point Cloud Library (PCL) - www.pointclouds.org
  *  Copyright (c) 2012, Yani Ioannou <yani.ioannou@gmail.com>
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  *     disclaimer in the documentation and/or other materials provided
  *     with the distribution.
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  *     contributors may be used to endorse or promote products derived
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#ifndef PCL_FILTERS_DON_IMPL_H_
#define PCL_FILTERS_DON_IMPL_H_
 
#include <pcl/features/don.h>
 
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointInT, typename PointNT, typename PointOutT> bool
pcl::DifferenceOfNormalsEstimation<PointInT, PointNT, PointOutT>::initCompute ()
{
  // Check if input normals are set
  if (!input_normals_small_)
  {
    PCL_ERROR ("[pcl::%s::initCompute] No input dataset containing small support radius normals was given!\n", getClassName().c_str ());
    Feature<PointInT, PointOutT>::deinitCompute();
    return (false);
  }
 
  if (!input_normals_large_)
  {
    PCL_ERROR ("[pcl::%s::initCompute] No input dataset containing large support radius normals was given!\n", getClassName().c_str ());
    Feature<PointInT, PointOutT>::deinitCompute();
    return (false);
  }
 
  // Check if the size of normals is the same as the size of the surface
  if (input_normals_small_->size () != input_->size ())
  {
    PCL_ERROR ("[pcl::%s::initCompute] ", getClassName().c_str ());
    PCL_ERROR ("The number of points in the input dataset differs from ");
    PCL_ERROR ("the number of points in the dataset containing the small support radius normals!\n");
    Feature<PointInT, PointOutT>::deinitCompute ();
    return (false);
  }
 
  if (input_normals_large_->size () != input_->size ())
  {
    PCL_ERROR ("[pcl::%s::initCompute] ", getClassName().c_str ());
    PCL_ERROR ("The number of points in the input dataset differs from ");
    PCL_ERROR ("the number of points in the dataset containing the large support radius normals!\n");
    Feature<PointInT, PointOutT>::deinitCompute ();
    return (false);
  }
 
  return (true);
}
 
//////////////////////////////////////////////////////////////////////////////////////////////
template <typename PointInT, typename PointNT, typename PointOutT> void
pcl::DifferenceOfNormalsEstimation<PointInT, PointNT, PointOutT>::computeFeature (PointCloudOut &output)
{
  //perform DoN subtraction and return results
  for (std::size_t point_id = 0; point_id < input_->size (); ++point_id)
  {
    output[point_id].getNormalVector3fMap () =  ((*input_normals_small_)[point_id].getNormalVector3fMap ()
        - (*input_normals_large_)[point_id].getNormalVector3fMap ()) / 2.0;
    if(!std::isfinite (output[point_id].normal_x) ||
        !std::isfinite (output[point_id].normal_y) ||
        !std::isfinite (output[point_id].normal_z)){
      output[point_id].getNormalVector3fMap () = Eigen::Vector3f(0,0,0);
    }
    output[point_id].curvature = output[point_id].getNormalVector3fMap ().norm();
  }
}
 
 
#define PCL_INSTANTIATE_DifferenceOfNormalsEstimation(T,NT,OutT) template class PCL_EXPORTS pcl::DifferenceOfNormalsEstimation<T,NT,OutT>;
 
#endif // PCL_FILTERS_DON_H_