// 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/v5.1/Classification/include/CGAL/Classification/Feature/Eigenvalue.h $ // $Id: Eigenvalue.h 0779373 2020-03-26T13:31:46+01:00 Sébastien Loriot // SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial // // Author(s) : Simon Giraudot #ifndef CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H #define CGAL_CLASSIFICATION_FEATURES_EIGENVALUE_H #include #include #include #include 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 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