83 lines
2.0 KiB
C++
83 lines
2.0 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: https://github.com/CGAL/cgal/blob/v5.1/Classification/include/CGAL/Classification/Feature/Eigenvalue.h $
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// $Id: Eigenvalue.h 0779373 2020-03-26T13:31:46+01:00 Sébastien Loriot
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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_FEATURES_EIGENVALUE_H
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#define CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H
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#include <CGAL/license/Classification.h>
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#include <vector>
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#include <CGAL/Classification/Feature_base.h>
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#include <CGAL/Classification/Local_eigen_analysis.h>
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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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%Feature based on the eigenvalues of the covariance matrix of a
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local neighborhood.
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Its default name is "eigenvalue_0", "eigenvalue_1" or
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"eigenvalue_2", depending on which eigenvalue is chosen in the
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constructor.
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*/
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class Eigenvalue : public Feature_base
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{
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protected:
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const Classification::Local_eigen_analysis& eigen;
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unsigned int m_idx;
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public:
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/*!
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Constructs the feature.
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\tparam Input model of `ConstRange`. Its iterator type
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is `RandomAccessIterator`.
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\param input input range.
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\param eigen class with precomputed eigenvectors and eigenvalues.
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\param idx index of the eigen value (0, 1 or 2).
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*/
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template <typename InputRange>
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Eigenvalue (const InputRange& input,
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const Classification::Local_eigen_analysis& eigen,
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unsigned int idx)
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: eigen (eigen), m_idx (idx)
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{
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CGAL_USE(input);
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std::ostringstream oss;
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oss << "eigenvalue" << idx;
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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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return eigen.eigenvalue(pt_index)[std::size_t(m_idx)];
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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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#endif // CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H
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