// Copyright (c) 2012 INRIA Sophia-Antipolis (France).
// Copyright (c) 2017 GeometryFactory Sarl (France).
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org).
//
// $URL: https://github.com/CGAL/cgal/blob/v5.2/Classification/include/CGAL/Classification/Feature/Distance_to_plane.h $
// $Id: Distance_to_plane.h 0e934b1 2020-08-04T13:16:13+02:00 Simon Giraudot
// SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial
//
// Author(s)     : Simon Giraudot, Florent Lafarge

#ifndef CGAL_CLASSIFICATION_FEATURE_DISTANCE_TO_PLANE_H
#define CGAL_CLASSIFICATION_FEATURE_DISTANCE_TO_PLANE_H

#include <CGAL/license/Classification.h>
#include <CGAL/Classification/Feature_base.h>
#include <CGAL/Kernel_traits.h>
#include <CGAL/Classification/Local_eigen_analysis.h>
#include <vector>

namespace CGAL {

namespace Classification {

namespace Feature {

  /*!
    \ingroup PkgClassificationFeatures

    %Feature based on local distance to a fitted
    plane. Characterizing a level of non-planarity can help to
    identify noisy parts of the input such as vegetation. This
    feature computes the distance of a point to a locally fitted
    plane.

    Its default name is "distance_to_plane".

    \tparam PointRange model of `ConstRange`. Its iterator type
    is `RandomAccessIterator` and its value type is the key type of
    `PointMap`.
    \tparam PointMap model of `ReadablePropertyMap` whose key
    type is the value type of the iterator of `PointRange` and value type
    is `CGAL::Point_3`.
  */
template <typename PointRange, typename PointMap>
class Distance_to_plane : public Feature_base
{
  using Kernel = typename CGAL::Kernel_traits<typename PointMap::value_type>::Kernel;

#ifdef CGAL_CLASSIFICATION_PRECOMPUTE_FEATURES
  std::vector<float> distance_to_plane_feature;
#else
  const PointRange& input;
  PointMap point_map;
  const Local_eigen_analysis& eigen;
#endif

public:
  /*!
    \brief constructs the feature.

    \param input point range.
    \param point_map property map to access the input points.
    \param eigen class with precomputed eigenvectors and eigenvalues.
  */
  Distance_to_plane (const PointRange& input,
                     PointMap point_map,
                     const Local_eigen_analysis& eigen)
#ifndef CGAL_CLASSIFICATION_PRECOMPUTE_FEATURES
    : input(input), point_map(point_map), eigen(eigen)
#endif
  {
    this->set_name ("distance_to_plane");
#ifdef CGAL_CLASSIFICATION_PRECOMPUTE_FEATURES
    for(std::size_t i = 0; i < input.size(); i++)
      distance_to_plane_feature.push_back
        (CGAL::sqrt (CGAL::squared_distance (get(point_map, *(input.begin()+i)), eigen.plane<Kernel>(i))));
#endif
  }

  /// \cond SKIP_IN_MANUAL
  virtual float value (std::size_t pt_index)
  {
#ifdef CGAL_CLASSIFICATION_PRECOMPUTE_FEATURES
    return distance_to_plane_feature[pt_index];
#else
    return float(CGAL::sqrt (CGAL::squared_distance
                             (get(point_map, *(input.begin()+pt_index)),
                              eigen.plane<Kernel>(pt_index))));
#endif
  }
  /// \endcond
};

} // namespace Feature

} // namespace Classification

} // namespace CGAL

#endif // CGAL_CLASSIFICATION_FEATURE_DISTANCE_TO_PLANE_H