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// Copyright (c) 2018 GeometryFactory Sarl (France).
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org).
//
// $URL: https://github.com/CGAL/cgal/blob/v6.1/Classification/include/CGAL/Classification/Feature/Gradient_of_feature.h $
// $Id: include/CGAL/Classification/Feature/Gradient_of_feature.h b26b07a1242 $
// SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial
//
// Author(s) : Simon Giraudot
#ifndef CGAL_CLASSIFICATION_GRADIENT_OF_FEATURE_H
#define CGAL_CLASSIFICATION_GRADIENT_OF_FEATURE_H
#include <CGAL/license/Classification.h>
#include <vector>
// Experimental feature, not used officially and not documented yet
/// \cond SKIP_IN_MANUAL
namespace CGAL {
namespace Classification {
namespace Feature {
/*!
\ingroup PkgClassificationFeatures
TODO
*/
template <typename InputRange, typename ItemMap, typename NeighborQuery>
class Gradient_of_feature : public Feature_base
{
const InputRange& m_input;
ItemMap m_map;
Feature_handle m_feature;
std::shared_ptr<NeighborQuery> m_query;
public:
/*!
TODO
*/
Gradient_of_feature (const InputRange& input,
ItemMap map,
Feature_handle feature,
const NeighborQuery& neighbor_query)
: m_input (input), m_map (map), m_feature (feature), m_query (new NeighborQuery(neighbor_query))
{
std::ostringstream oss;
oss << "gradient_of_" << feature->name();
this->set_name (oss.str());
}
/// \cond SKIP_IN_MANUAL
virtual float value (std::size_t pt_index)
{
std::vector<std::size_t> neighborhood;
(*m_query) (get (m_map, *(m_input.begin()+pt_index)), std::back_inserter (neighborhood));
if (neighborhood.empty())
return 0.f;
float mean = 0.f;
for (std::size_t i = 0; i < neighborhood.size(); ++ i)
mean += m_feature->value (neighborhood[i]);
return (m_feature->value (pt_index) - mean / neighborhood.size());
}
/// \endcond
};
} // namespace Feature
} // namespace Classification
} // namespace CGAL
/// \endcond
#endif // CGAL_CLASSIFICATION_GRADIENT_OF_FEATURE_H
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