dust3d/thirdparty/cgal/CGAL-4.13/include/CGAL/Classification/Feature/Eigenvalue.h

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// Copyright (c) 2018 GeometryFactory Sarl (France).
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org).
// You can redistribute it and/or modify it under the terms of the GNU
// General Public License as published by the Free Software Foundation,
// either version 3 of the License, or (at your option) any later version.
//
// Licensees holding a valid commercial license may use this file in
// accordance with the commercial license agreement provided with the software.
//
// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
//
// $URL$
// $Id$
// SPDX-License-Identifier: GPL-3.0+
//
// Author(s) : Simon Giraudot
#ifndef CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H
#define CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H
#include <CGAL/license/Classification.h>
#include <vector>
#include <CGAL/Classification/Feature_base.h>
#include <CGAL/Classification/Local_eigen_analysis.h>
namespace CGAL {
namespace Classification {
namespace Feature {
/*!
\ingroup PkgClassificationFeatures
%Feature based on the eigenvalues of the covariance matrix of a
local neighborhood.
Its default name is "eigenvalue_0", "eigenvalue_1" or
"eigenvalue_2", depending on which eigenvalue is chosen in the
constructor.
*/
class Eigenvalue : public Feature_base
{
protected:
const Classification::Local_eigen_analysis& eigen;
unsigned int m_idx;
public:
/*!
Constructs the feature.
\tparam Input model of `ConstRange`. Its iterator type
is `RandomAccessIterator`.
\param input input range.
\param eigen class with precomputed eigenvectors and eigenvalues.
\param idx index of the eigen value (0, 1 or 2).
*/
template <typename InputRange>
Eigenvalue (const InputRange& input,
const Classification::Local_eigen_analysis& eigen,
unsigned int idx)
: eigen (eigen), m_idx (idx)
{
CGAL_USE(input);
std::ostringstream oss;
oss << "eigenvalue" << idx;
this->set_name (oss.str());
}
/// \cond SKIP_IN_MANUAL
virtual float value (std::size_t pt_index)
{
return eigen.eigenvalue(pt_index)[std::size_t(m_idx)];
}
/// \endcond
};
} // namespace Feature
} // namespace Classification
} // namespace CGAL
#endif // CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H