Back to Range searching in a kd-tree
// Description: Orthogonal range search in a kd-tree
// Documentation: pointkdtree_search_range.txt
#ifndef PASTELGEOMETRY_POINTKDTREE_SEARCH_RANGE_H
#define PASTELGEOMETRY_POINTKDTREE_SEARCH_RANGE_H
#include "pastel/geometry/pointkdtree/pointkdtree.h"
#include "pastel/geometry/shape/alignedbox.h"
#include "pastel/geometry/pointkdtree/pointkdtree_search_range_algorithm.h"
#include "pastel/sys/output/output_concept.h"
#include <vector>
namespace Pastel
{
namespace PointKdTree_Search_Range_
{
template <typename Output>
class Search_Output
{
public:
explicit Search_Output(
Output& output)
: output_(output)
{
}
template <typename Iterator>
void report(
const Iterator& iter) const
{
output_(iter);
}
template <typename Iterator>
void report(
const Iterator& begin,
const Iterator& end,
integer count) const
{
Iterator i = begin;
while (i != end)
{
output(i);
++i;
}
}
private:
Output& output_;
};
}
//! Finds all points contained in an aligned box using a kd-tree.
/*!
Preconditions:
kdTree.n() == range.n()
kdTree.n() <= 32
*/
template <
typename Settings, template <typename> class Customization,
typename Point_ConstIterator_Output>
void searchRange(
const PointKdTree<Settings, Customization>& kdTree,
const AlignedBox<typename Settings::Real, Settings::N>& range,
Point_ConstIterator_Output report)
{
PointKdTree_Search_Range_::Search_Output<Point_ConstIterator_Output>
output(report);
integer bucketSize = 8;
searchRangeAlgorithm(kdTree, range, output, bucketSize);
}
}
#endif