我正在使用boost::geometry
处理一些几何任务。我需要满足两个要求:
boost::geometry::within
很好用,所以很好boost::geometry::distance
可以正确处理多边形外部的点,但是似乎将多边形视为实体。因此,多边形内的每个点到多边形的距离显然为0。我尝试对内部/外部内容进行实验,想知道是否有可能获取多边形的内部和外部点的距离。
答案 0 :(得分:3)
如果点在多边形内部,则可以使用comparable_distance
而不是distance
算法来加快代码的速度。您无需为每个分段点对计算确切的距离。使用comparable_distance
找到最接近给定点的多边形段,然后使用distance
算法计算实际距离。
auto distance = std::numeric_limits<float>::max();
if(boost::geometry::within(pt, mPolygon))
{
Segment nearestSegment;
boost::geometry::for_each_segment(mPolygon,
[&distance, &pt, &nearestSegment](const auto& segment)
{
double cmpDst = boost::geometry::comparable_distance(segment,pt);
if (cmpDst < distance)
{
distance = cmpDst;
nearestSegment = segment; // UPDATE NEAREST SEGMENT
}
});
// CALCULATE EXACT DST
distance = boost::geometry::distance(nearestSegment,pt);
} else {
distance = boost::geometry::distance(pt, mPolygon);
}
答案 1 :(得分:1)
我已决定使用以下方法,到目前为止看来似乎提供了正确的结果:
const TPolygonPoint pt{ x, y };
auto distance = std::numeric_limits<float>::max();
if(boost::geometry::within(pt, mPolygon)) {
boost::geometry::for_each_segment(mPolygon, [&distance, &pt](const auto& segment) {
distance = std::min<float>(distance, boost::geometry::distance(segment, pt));
});
} else {
distance = boost::geometry::distance(pt, mPolygon);
}
return distance;
如果有人知道更快或更更好的方法,请发表评论:)
答案 2 :(得分:0)
为获得最佳性能,应使用带有boost :: geometry :: index的RTree。创建RTree需要付出一定的代价,但是计算到任何(多)多边形环的点的距离将非常快。示例代码:
#include <boost/geometry.hpp>
#include <boost/geometry/geometries/geometries.hpp>
#include <boost/geometry/index/rtree.hpp>
#include <iostream>
#include <vector>
int main()
{
namespace bg = boost::geometry;
namespace bgi = boost::geometry::index;
typedef bg::model::point<double, 2, bg::cs::cartesian> point;
typedef bg::model::polygon<point> polygon;
point p{ 0, 0 };
// create some polygon and fill it with data
polygon poly;
double a = 0;
double as = bg::math::two_pi<double>() / 100;
for (int i = 0; i < 100; ++i, a += as)
{
double c = cos(a);
double s = sin(a);
poly.outer().push_back(point{10 * c, 10 * s});
poly.inners().resize(1);
poly.inners()[0].push_back(point{5 * c, 5 * s});
}
// make sure it is valid
bg::correct(poly);
// create rtree containing objects of type bg::model::pointing_segment
typedef bg::segment_iterator<polygon const> segment_iterator;
typedef std::iterator_traits<segment_iterator>::value_type segment_type;
bgi::rtree<segment_type, bgi::rstar<4> > rtree(bg::segments_begin(poly),
bg::segments_end(poly));
// get 1 nearest segment
std::vector<segment_type> result;
rtree.query(bgi::nearest(p, 1), std::back_inserter(result));
BOOST_ASSERT(!result.empty());
std::cout << bg::wkt(result[0]) << ", " << bg::distance(p, result[0]) << std::endl;
return 0;
}
答案 3 :(得分:0)
如果您在与外部边界[Polygon Concept一致的多边形中添加内部边界,则可以直接使用boost :: geometry :: distance。
#include <iostream>
#include <boost/geometry.hpp>
#include <boost/geometry/geometries/geometries.hpp>
namespace bg = boost::geometry;
int main() {
typedef bg::model::point<int, 2, bg::cs::cartesian> point_t;
typedef bg::model::polygon<point_t> polygon_t;
polygon_t poly1;
bg::append (poly1.outer(), point_t (1, -1));
bg::append (poly1.outer(), point_t (1, 1));
bg::append (poly1.outer(), point_t (-1, 1));
bg::append (poly1.outer(), point_t (-1, -1));
bg::append (poly1.outer(), point_t (1, -1));
poly1.inners().resize (1);
bg::append (poly1.inners()[0], point_t (1, -1));
bg::append (poly1.inners()[0], point_t (1, 1));
bg::append (poly1.inners()[0], point_t (-1, 1));
bg::append (poly1.inners()[0], point_t (-1, -1));
bg::append (poly1.inners()[0], point_t (1, -1));
point_t myPoint (0, 0);
std::cout << "Minimal distance: " << bg::distance (poly1, myPoint) << std::endl;
std::cout << "Is within: " << bg::within (myPoint, poly1) << std::endl;
return 0;
}
->将返回:
Minimal distance: 1
Is within: 0
但是,如果执行此操作,则通过boost :: geometry :: within将严格限制在多边形内部的点视为在多边形“外部”。如果您需要这两种功能,则可以维护两个单独的多边形-一个具有内部边界,另一个不具有内部边界。