124 lines
3.7 KiB
C++
Executable File
124 lines
3.7 KiB
C++
Executable File
// Copyright (c) 2017 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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// You can redistribute it and/or modify it under the terms of the GNU
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// General Public License as published by the Free Software Foundation,
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// either version 3 of the License, or (at your option) any later version.
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//
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// Licensees holding a valid commercial license may use this file in
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// accordance with the commercial license agreement provided with the software.
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//
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// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
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// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
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//
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// $URL$
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// $Id$
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// SPDX-License-Identifier: GPL-3.0+
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//
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// Author(s) : Simon Giraudot
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#ifndef CGAL_CLASSIFICATION_FEATURE_VERTICALITY_H
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#define CGAL_CLASSIFICATION_FEATURE_VERTICALITY_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 local verticality. The orientation of the
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local tangent plane of the considered point can be useful to
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discriminate facades from the ground. This feature can use
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normal vectors if available or eigen analysis that estimates
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tangent planes from local neighborhoods.
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Its default name is "verticality".
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\tparam GeomTraits model of \cgal Kernel.
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*/
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template <typename GeomTraits>
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class Verticality : public Feature_base
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{
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const typename GeomTraits::Vector_3 vertical;
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std::vector<compressed_float> verticality_feature;
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const Local_eigen_analysis* eigen;
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public:
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/*!
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\brief Constructs the feature using local eigen analysis.
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\tparam InputRange 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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*/
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template <typename InputRange>
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Verticality (const InputRange& input,
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const Local_eigen_analysis& eigen)
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: vertical (0., 0., 1.), eigen (&eigen)
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{
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CGAL_USE(input);
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this->set_name ("verticality");
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}
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/*!
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\brief Constructs the feature using provided normals of points.
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\tparam PointRange model of `ConstRange`. Its iterator type
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is `RandomAccessIterator` and its value type is the key type of
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`VectorMap`.
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\tparam VectorMap model of `ReadablePropertyMap` whose key
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type is the value type of the iterator of `PointRange` and value type
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is `GeomTraits::Vector_3`.
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\param input point range.
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\param normal_map property map to access the normal vectors of the input points.
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*/
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template <typename PointRange, typename VectorMap>
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Verticality (const PointRange& input,
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VectorMap normal_map)
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: vertical (0., 0., 1.), eigen(NULL)
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{
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this->set_name ("verticality");
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for (std::size_t i = 0; i < input.size(); i++)
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{
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typename GeomTraits::Vector_3 normal = get(normal_map, *(input.begin()+i));
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normal = normal / CGAL::sqrt (normal * normal);
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verticality_feature.push_back (compress_float(1.f - float(CGAL::abs(normal * vertical))));
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}
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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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if (eigen != NULL)
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{
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typename GeomTraits::Vector_3 normal = eigen->normal_vector<GeomTraits>(pt_index);
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normal = normal / CGAL::sqrt (normal * normal);
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return (1.f - float(CGAL::abs(normal * vertical)));
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}
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else
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return decompress_float(verticality_feature[pt_index]);
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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_FEATURE_VERTICALITY_H
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