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