mirror of https://github.com/CGAL/cgal
384 lines
11 KiB
C++
384 lines
11 KiB
C++
// ======================================================================
|
|
//
|
|
// Copyright (c) 2002 The CGAL Consortium
|
|
//
|
|
// This software and related documentation is part of an INTERNAL release
|
|
// of the Computational Geometry Algorithms Library (CGAL). It is not
|
|
// intended for general use.
|
|
//
|
|
// ----------------------------------------------------------------------
|
|
//
|
|
// release : $CGAL_Revision: CGAL-2.5-I-99 $
|
|
// release_date : $CGAL_Date: 2003/05/23 $
|
|
//
|
|
// file : include/CGAL/Point_container.h
|
|
// package : ASPAS (3.12)
|
|
// maintainer : Hans Tangelder <hanst@cs.uu.nl>
|
|
// revision : 3.0
|
|
// revision_date : 2003/07/10
|
|
// authors : Hans Tangelder (<hanst@cs.uu.nl>)
|
|
// coordinator : Utrecht University
|
|
//
|
|
// ======================================================================
|
|
|
|
|
|
// custom point container
|
|
#ifndef CGAL_POINT_CONTAINER_H
|
|
#define CGAL_POINT_CONTAINER_H
|
|
#include <list>
|
|
#include <vector>
|
|
#include <functional>
|
|
#include <algorithm>
|
|
#include <CGAL/Kd_tree_rectangle.h>
|
|
namespace CGAL {
|
|
|
|
template <class SearchTraits> class Point_container {
|
|
|
|
private:
|
|
typedef typename SearchTraits::Point_d Point_d;
|
|
typedef std::vector<Point_d*> Point_vector;
|
|
typedef Point_container<Point_d> Self;
|
|
|
|
public:
|
|
typedef typename SearchTraits::FT FT;
|
|
typedef std::list<Point_d*> Point_list;
|
|
typedef typename Point_list::iterator iterator;
|
|
|
|
private:
|
|
Point_list p_list; // list of pointers to points
|
|
int built_coord; // a coordinate for which the pointer list is built
|
|
unsigned int the_size;
|
|
Kd_tree_rectangle<SearchTraits> bbox; // bounding box, i.e. rectangle of node
|
|
Kd_tree_rectangle<SearchTraits> tbox; // tight bounding box,
|
|
// i.e. minimal enclosing bounding
|
|
// box of points
|
|
|
|
public:
|
|
|
|
inline const Kd_tree_rectangle<SearchTraits>& bounding_box() const { return bbox; }
|
|
|
|
inline const Kd_tree_rectangle<SearchTraits>& tight_bounding_box() const
|
|
{ return tbox; }
|
|
|
|
inline int dimension() const { return bbox.dimension(); }
|
|
|
|
inline int built_coordinate() const { return built_coord; }
|
|
|
|
// coordinate of the maximal span
|
|
inline int max_span_coord() const { return bbox.max_span_coord(); }
|
|
|
|
// coordinate of the maximal tight span
|
|
inline int max_tight_span_coord() const { return tbox.max_span_coord(); }
|
|
|
|
inline FT max_span_lower() const
|
|
{ return bbox.min_coord(max_span_coord());}
|
|
|
|
inline FT max_tight_span_lower() const {
|
|
return tbox.min_coord(max_tight_span_coord());}
|
|
|
|
inline FT max_span_upper() const
|
|
{ return bbox.max_coord(max_span_coord());}
|
|
|
|
inline FT max_tight_span_upper() const {
|
|
return tbox.max_coord(max_tight_span_coord());}
|
|
|
|
inline FT max_spread() const
|
|
{ return max_span_upper() - max_span_lower(); }
|
|
|
|
inline FT max_tight_spread() const {
|
|
return max_tight_span_upper() - max_tight_span_lower(); }
|
|
|
|
|
|
int max_tight_span_coord_balanced(FT Aspect_ratio) const {
|
|
int cut_dim(-1);
|
|
FT max_spread_points(FT(-1));
|
|
FT max_length=max_spread(); // length of longest side of box
|
|
int dim=dimension();
|
|
for (int d=0; d<dim; d++) {
|
|
FT length=bbox.max_coord(d)-bbox.min_coord(d);
|
|
|
|
if (FT(2)*max_length/length <= Aspect_ratio) {
|
|
FT spread=tbox.max_coord(d)-tbox.min_coord(d);
|
|
|
|
if (spread > max_spread_points) {
|
|
max_spread_points = spread;
|
|
cut_dim = d;
|
|
}
|
|
}
|
|
}
|
|
// assert(cut_dim >= 0);
|
|
return cut_dim;
|
|
}
|
|
|
|
FT max_span_upper_without_dim(int d) const {
|
|
FT max_span(FT(0));
|
|
int dim=dimension();
|
|
for (int i=0; i<dim; i++) {
|
|
FT span = bbox.max_coord(i)-bbox.min_coord(i);
|
|
if (d != i && span > max_span) max_span=span;
|
|
}
|
|
return max_span;
|
|
}
|
|
|
|
FT balanced_fair(int d, FT Aspect_ratio) {
|
|
FT small_piece =
|
|
max_span_upper_without_dim(d) / Aspect_ratio;
|
|
FT low_cut =
|
|
bbox.min_coord(d) + small_piece; // lowest legal cut;
|
|
FT high_cut =
|
|
bbox.max_coord(d) - small_piece; //highest legal cut;
|
|
// assert (high_cut >= low_cut);
|
|
FT split_value = median(d);
|
|
if (split_value < low_cut) split_value=low_cut;
|
|
if (split_value > high_cut) split_value=high_cut;
|
|
return split_value;
|
|
}
|
|
|
|
FT balanced_sliding_fair(int d, FT Aspect_ratio) {
|
|
FT small_piece =
|
|
max_span_upper_without_dim(d) / Aspect_ratio;
|
|
FT low_cut =
|
|
bbox.min_coord(d) + small_piece; // lowest legal cut;
|
|
FT high_cut =
|
|
bbox.max_coord(d) - small_piece; //highest legal cut;
|
|
// assert (high_cut >= low_cut);
|
|
FT split_value = median(d);
|
|
FT max_span_lower = tbox.min_coord(d);
|
|
FT max_span_upper = tbox.max_coord(d);
|
|
if (split_value < low_cut) split_value= max_span_lower;
|
|
if (split_value > high_cut) split_value = max_span_upper;
|
|
return split_value;
|
|
}
|
|
|
|
// points
|
|
inline unsigned int size() const {
|
|
return the_size;
|
|
}
|
|
|
|
inline void set_size() {the_size=p_list.size(); }
|
|
|
|
inline typename Point_list::const_iterator begin() const {
|
|
return p_list.begin();
|
|
}
|
|
|
|
inline typename Point_list::const_iterator end() const {
|
|
return p_list.end();
|
|
}
|
|
|
|
// building the container from a sequence of points
|
|
template <class InputIterator>
|
|
Point_container(const int d, InputIterator begin, InputIterator end) :
|
|
bbox(d), tbox(d) {
|
|
|
|
|
|
|
|
bbox = Kd_tree_rectangle<SearchTraits>(d, begin, end);
|
|
tbox = bbox;
|
|
|
|
// build list
|
|
InputIterator it;
|
|
for (it=begin; it != end; ++it) p_list.push_back(&(*it));
|
|
|
|
built_coord = max_span_coord();
|
|
set_size();
|
|
}
|
|
|
|
// building an empty container
|
|
Point_container(const int d) :
|
|
the_size(0), bbox(d), tbox(d) {}
|
|
|
|
void swap(Point_container<SearchTraits>& c) {
|
|
|
|
swap(p_list,c.p_list);
|
|
|
|
// Borland generates strange compile errors
|
|
// swap(built_coord,c.built_coord);
|
|
// swap(bbox,c.bbox);
|
|
// swap(tbox,c.tbox);
|
|
|
|
|
|
// work-around
|
|
int h=built_coord;
|
|
built_coord = c.built_coord;
|
|
c.built_coord = h;
|
|
|
|
// work-around
|
|
Kd_tree_rectangle<SearchTraits> h_bbox(bbox);
|
|
bbox = c.bbox;
|
|
c.bbox = h_bbox;
|
|
|
|
// work-around
|
|
Kd_tree_rectangle<SearchTraits> h_tbox(tbox);
|
|
tbox = c.tbox;
|
|
c.tbox = h_tbox;
|
|
|
|
//work-around
|
|
h=the_size;
|
|
the_size = c.the_size;
|
|
c.the_size = h;
|
|
|
|
}
|
|
|
|
|
|
|
|
void recompute_tight_bounding_box() {
|
|
tbox.update_from_point_pointers(p_list.begin(),
|
|
p_list.end(),p_list.empty());
|
|
}
|
|
|
|
|
|
// note that splitting is restricted to the built coordinate
|
|
template <class Separator>
|
|
void split(Point_container<SearchTraits>& c, Separator& sep,
|
|
bool sliding=false) {
|
|
|
|
assert(dimension()==c.dimension());
|
|
|
|
Point_list l_lower, l_upper;
|
|
|
|
c.bbox=bbox;
|
|
// bool test_validity=false;
|
|
|
|
const int split_coord = sep.cutting_dimension();
|
|
const FT cutting_value = sep.cutting_value();
|
|
|
|
built_coord=split_coord;
|
|
c.built_coord=split_coord;
|
|
|
|
|
|
iterator pt=p_list.begin();
|
|
|
|
typename SearchTraits::Construct_cartesian_const_iterator_d construct_it;
|
|
typename SearchTraits::Cartesian_const_iterator_d ptit;
|
|
|
|
for (; (pt != p_list.end()); ++pt) {
|
|
|
|
ptit = construct_it(*(*pt));
|
|
if ( *(ptit+split_coord) < cutting_value)
|
|
l_lower.push_back (*pt);
|
|
else
|
|
l_upper.push_back (*pt);
|
|
};
|
|
|
|
if (sliding) { // avoid empty lists
|
|
if (l_lower.empty()) {
|
|
iterator pt_min=l_upper.begin();
|
|
FT min_value=bbox.max_coord(built_coord);
|
|
for (pt=l_upper.begin(); (pt != l_upper.end()); ++pt) {
|
|
ptit = construct_it((*(*pt)));
|
|
if ( *(ptit+split_coord) < min_value) {
|
|
min_value= *(ptit+split_coord);
|
|
pt_min=pt;
|
|
}
|
|
}
|
|
l_lower.splice(l_lower.end(), l_upper, pt_min);
|
|
}
|
|
if (l_upper.empty()) {
|
|
iterator pt_max=l_lower.begin();
|
|
FT max_value=bbox.min_coord(built_coord);
|
|
for (pt=l_lower.begin(); (pt != l_lower.end()); ++pt) {
|
|
ptit = construct_it((*(*pt)));
|
|
if ( *(ptit+split_coord) > max_value) {
|
|
max_value= *(ptit+split_coord) ;
|
|
pt_max=pt;
|
|
}
|
|
}
|
|
l_upper.splice(l_upper.end(), l_lower, pt_max);
|
|
}
|
|
}
|
|
|
|
|
|
p_list.clear();
|
|
c.p_list.clear();
|
|
p_list.splice(p_list.end(),l_upper);
|
|
c.p_list.splice(c.p_list.end(),l_lower);
|
|
|
|
|
|
// adjusting boxes
|
|
bbox.set_lower_bound(split_coord, cutting_value);
|
|
tbox.update_from_point_pointers(p_list.begin(),
|
|
p_list.end(),p_list.empty());
|
|
c.bbox.set_upper_bound(split_coord, cutting_value);
|
|
c.tbox.update_from_point_pointers(
|
|
c.p_list.begin(),
|
|
c.p_list.end(),c.p_list.empty());
|
|
|
|
c.set_size();
|
|
set_size();
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
template <class SearchTraits2, class Value>
|
|
struct comp_coord_val {
|
|
|
|
private:
|
|
Value coord;
|
|
|
|
typedef typename SearchTraits2::Point_d Point_d;
|
|
public:
|
|
comp_coord_val (const Value& coordinate) : coord(coordinate) {}
|
|
|
|
bool operator() (const Point_d *a, const Point_d *b) {
|
|
typename SearchTraits2::Construct_cartesian_const_iterator_d construct_it;
|
|
typename SearchTraits2::Cartesian_const_iterator_d ait = construct_it(*a),
|
|
bit = construct_it(*b);
|
|
return *(ait+coord) < *(bit+coord);
|
|
}
|
|
};
|
|
|
|
|
|
FT median(const int split_coord) {
|
|
|
|
#ifdef CGAL_CFG_RWSTD_NO_MEMBER_TEMPLATES
|
|
Point_vector p_vector;
|
|
std::copy(p_list.begin(), p_list.end(), std::back_inserter(p_vector));
|
|
std::sort(p_vector.begin(),p_vector.end(),comp_coord_val<SearchTraits,int>(split_coord));
|
|
p_list.clear();
|
|
std::copy(p_vector.begin(), p_vector.end(), std::back_inserter(p_list));
|
|
#else
|
|
p_list.sort(comp_coord_val<SearchTraits,int>(split_coord));
|
|
#endif
|
|
|
|
iterator median_point_ptr = p_list.begin();
|
|
for (unsigned int i = 0; i < the_size/2-1; i++,
|
|
median_point_ptr++) {}
|
|
|
|
typename SearchTraits::Construct_cartesian_const_iterator_d construct_it;
|
|
typename SearchTraits::Cartesian_const_iterator_d mpit = construct_it((*(*median_point_ptr)));
|
|
FT val1= *(mpit+split_coord);
|
|
median_point_ptr++;
|
|
mpit = construct_it((*(*median_point_ptr)));
|
|
FT val2= *(mpit+split_coord);
|
|
|
|
|
|
|
|
return (val1+val2)/FT(2);
|
|
};
|
|
|
|
|
|
inline bool empty() const { return the_size == 0;}
|
|
|
|
|
|
|
|
private:
|
|
explicit Point_container() {} // disable default constructor
|
|
|
|
};
|
|
|
|
template <class Point>
|
|
std::ostream& operator<< (std::ostream& s, Point_container<Point>& c) {
|
|
s << "Points container of size " << the_size << "\n cell:";
|
|
s << bbox; // bbox.print(s);
|
|
s << "\n minimal box enclosing points:"; s << tbox;
|
|
return s;
|
|
}
|
|
|
|
} // namespace CGAL
|
|
|
|
#endif // CGAL_POINT_CONTAINER_H
|
|
|
|
|