kdtree/kdtree.h

103 lines
2.6 KiB
C++

#include <algorithm>
#include <glm/glm.hpp>
#include <vector>
// Forward declarations
struct Node;
struct Point;
struct Triangle;
struct Node {
Node(int axis, Point *point, Node *left, Node *right)
: axis(axis), point(point), left(left), right(right) {}
int axis;
Point *point;
Node *left;
Node *right;
};
struct Triangle {
Triangle(Point *p1, Point *p2, Point *p3) : p1(p1), p2(p2), p3(p3) {}
Point *p1;
Point *p2;
Point *p3;
};
struct Point {
Point(float coordinates[3], Triangle *triangle)
: coordinates(coordinates), triangle(triangle) {}
float *coordinates;
Triangle *triangle;
};
class KDTree {
public:
KDTree(std::vector<Point *> points) { root = build(points, 0); }
~KDTree() = default;
private:
Node *root;
int MAX_DEPTH = 500;
Node *build(std::vector<Point *> points, int depth) {
// Exit conditions
if (points.empty() || depth > MAX_DEPTH) {
return nullptr;
}
// Select axis by choosing the one with maximal extent
float max_extent = 0;
int axis = 0;
for (int it_axis = 0; it_axis < 3; it_axis++) {
// Get extent along this axis
auto comparator = [it_axis](Point *p1, Point *p2) {
return p1->coordinates[it_axis] < p2->coordinates[it_axis];
};
Point *min = *std::max_element(points.begin(), points.end(), comparator);
Point *max = *std::max_element(points.begin(), points.end(), comparator);
float extent = max->coordinates[it_axis] - min->coordinates[it_axis];
// Is it greater than max_extent?
if (extent > max_extent) {
// If so, make this the splitting axis
max_extent = extent;
axis = it_axis;
}
}
// Choose the median as the pivot and sort the points into
// left-of-median and right-of-median using nth_element
int middle = points.size() / 2;
// TODO: Code duplication from the comparator in the earlier axis assessment
// loop
std::nth_element(points.begin(), points.begin() + middle, points.end(),
[axis](Point *p1, Point *p2) {
return p1->coordinates[axis] < p2->coordinates[axis];
});
Point *median;
float pivot;
// TODO: This copies. Can we split the vector into two without copying?
std::vector<Point *> left_of_median(points.begin(),
points.begin() + middle);
std::vector<Point *> right_of_median(points.begin() + middle, points.end());
// Create node, recursively call to construct subtree
return new Node(axis, median, build(left_of_median, depth + 1),
build(right_of_median, depth + 1));
}
};