1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87
|
// 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/v6.1.1/Classification/include/CGAL/Classification/Feature/Cluster_vertical_extent.h $
// $Id: include/CGAL/Classification/Feature/Cluster_vertical_extent.h 08b27d3db14 $
// SPDX-License-Identifier: GPL-3.0-or-later OR LicenseRef-Commercial
//
// Author(s) : Simon Giraudot
#ifndef CGAL_CLASSIFICATION_FEATURE_CLUSTER_VERTICAL_EXTENT_H
#define CGAL_CLASSIFICATION_FEATURE_CLUSTER_VERTICAL_EXTENT_H
#include <CGAL/license/Classification.h>
#include <vector>
#include <CGAL/Classification/Feature_base.h>
#include <CGAL/Bbox_3.h>
namespace CGAL {
namespace Classification {
namespace Feature {
/*!
\ingroup PkgClassificationCluster
\brief %Feature that returns the length of the smallest interval
on the `Z` axis that contains all the items of a cluster.
Its default name is "cluster_vertical_extent".
*/
class Cluster_vertical_extent : public CGAL::Classification::Feature_base
{
std::vector<float> m_values;
public:
/*!
\brief constructs the feature.
\tparam ClusterRange model of `ConstRange`. Its iterator type
is `RandomAccessIterator` and its value type is the key type of
`Cluster`.
\param clusters input range.
*/
template <typename ClusterRange>
Cluster_vertical_extent (const ClusterRange& clusters)
{
typedef typename ClusterRange::const_iterator::value_type::Item Item;
this->set_name ("cluster_vertical_extent");
m_values.reserve (clusters.size());
for (std::size_t i = 0; i < clusters.size(); ++ i)
{
float min_z = (std::numeric_limits<float>::max)();
float max_z = -(std::numeric_limits<float>::min)();
for (std::size_t j = 0; j < clusters[i].size(); ++ j)
{
const Item& item = clusters[i][j];
const CGAL::Bbox_3& bbox = item.bbox();
min_z = (std::min) (float(bbox.zmin()), min_z);
max_z = (std::max) (float(bbox.zmax()), max_z);
}
m_values.push_back ((max_z - min_z));
}
}
/// \cond SKIP_IN_MANUAL
virtual float value (std::size_t cluster_index) { return m_values[cluster_index]; }
/// \endcond
};
} // namespace Feature
} // namespace Classification
} // namespace CGAL
#endif // CGAL_CLASSIFICATION_FEATURE_CLUSTER_VERTICAL_EXTENT_H
|