我试图创建一个快速的2D点内多边形算法,用于命中测试(例如多边形.contains(p:点))。对有效技术的建议将不胜感激。
当前回答
真的很喜欢Nirg发布的解决方案,由bobobobo编辑。我只是让它javascript友好,更容易读懂我的使用:
function insidePoly(poly, pointx, pointy) {
var i, j;
var inside = false;
for (i = 0, j = poly.length - 1; i < poly.length; j = i++) {
if(((poly[i].y > pointy) != (poly[j].y > pointy)) && (pointx < (poly[j].x-poly[i].x) * (pointy-poly[i].y) / (poly[j].y-poly[i].y) + poly[i].x) ) inside = !inside;
}
return inside;
}
其他回答
from typing import Iterable
def pnpoly(verts, x, y):
#check if x and/or y is iterable
xit, yit = isinstance(x, Iterable), isinstance(y, Iterable)
#if not iterable, make an iterable of length 1
X = x if xit else (x, )
Y = y if yit else (y, )
#store verts length as a range to juggle j
r = range(len(verts))
#final results if x or y is iterable
results = []
#traverse x and y coordinates
for xp in X:
for yp in Y:
c = 0 #reset c at every new position
for i in r:
j = r[i-1] #set j to position before i
#store a few arguments to shorten the if statement
yneq = (verts[i][1] > yp) != (verts[j][1] > yp)
xofs, yofs = (verts[j][0] - verts[i][0]), (verts[j][1] - verts[i][1])
#if we have crossed a line, increment c
if (yneq and (xp < xofs * (yp - verts[i][1]) / yofs + verts[i][0])):
c += 1
#if c is odd store the coordinates
if c%2:
results.append((xp, yp))
#return either coordinates or a bool, depending if x or y was an iterable
return results if (xit or yit) else bool(c%2)
这个python版本是通用的。您可以为True/False结果输入单个x和单个y值,也可以使用x和y的范围来遍历整个点网格。如果使用范围,则返回所有True点的x/y对列表。vertices参数需要一个由x/y对组成的二维Iterable,例如:[(x1,y1), (x2,y2),…]
使用示例:
vertices = [(25,25), (75,25), (75,75), (25,75)]
pnpoly(vertices, 50, 50) #True
pnpoly(vertices, range(100), range(100)) #[(25,25), (25,26), (25,27), ...]
实际上,这些都可以。
pnpoly(vertices, 50, range(100)) #check 0 to 99 y at x of 50
pnpoly(vertices, range(100), 50) #check 0 to 99 x at y of 50
我已经做了nirg的c++代码的Python实现:
输入
Bounding_points:组成多边形的节点。 Bounding_box_positions:筛选的候选点。(在我从边界框创建的实现中。 (输入为元组列表,格式为:[(xcord, ycord),…])
返回
多边形内的所有点。
def polygon_ray_casting(self, bounding_points, bounding_box_positions):
# Arrays containing the x- and y-coordinates of the polygon's vertices.
vertx = [point[0] for point in bounding_points]
verty = [point[1] for point in bounding_points]
# Number of vertices in the polygon
nvert = len(bounding_points)
# Points that are inside
points_inside = []
# For every candidate position within the bounding box
for idx, pos in enumerate(bounding_box_positions):
testx, testy = (pos[0], pos[1])
c = 0
for i in range(0, nvert):
j = i - 1 if i != 0 else nvert - 1
if( ((verty[i] > testy ) != (verty[j] > testy)) and
(testx < (vertx[j] - vertx[i]) * (testy - verty[i]) / (verty[j] - verty[i]) + vertx[i]) ):
c += 1
# If odd, that means that we are inside the polygon
if c % 2 == 1:
points_inside.append(pos)
return points_inside
同样,这个想法也是从这里得来的
简单的解决方案是将多边形划分为三角形,并按这里解释的那样对三角形进行测试
如果你的多边形是凸多边形,可能有更好的方法。把这个多边形看作是无限条线的集合。每一行将空间一分为二。对于每一个点,很容易判断它是在直线的一边还是另一边。如果一个点在所有直线的同一侧,那么它在多边形内。
net端口:
static void Main(string[] args)
{
Console.Write("Hola");
List<double> vertx = new List<double>();
List<double> verty = new List<double>();
int i, j, c = 0;
vertx.Add(1);
vertx.Add(2);
vertx.Add(1);
vertx.Add(4);
vertx.Add(4);
vertx.Add(1);
verty.Add(1);
verty.Add(2);
verty.Add(4);
verty.Add(4);
verty.Add(1);
verty.Add(1);
int nvert = 6; //Vértices del poligono
double testx = 2;
double testy = 5;
for (i = 0, j = nvert - 1; i < nvert; j = i++)
{
if (((verty[i] > testy) != (verty[j] > testy)) &&
(testx < (vertx[j] - vertx[i]) * (testy - verty[i]) / (verty[j] - verty[i]) + vertx[i]))
c = 1;
}
}
Java版本:
public class Geocode {
private float latitude;
private float longitude;
public Geocode() {
}
public Geocode(float latitude, float longitude) {
this.latitude = latitude;
this.longitude = longitude;
}
public float getLatitude() {
return latitude;
}
public void setLatitude(float latitude) {
this.latitude = latitude;
}
public float getLongitude() {
return longitude;
}
public void setLongitude(float longitude) {
this.longitude = longitude;
}
}
public class GeoPolygon {
private ArrayList<Geocode> points;
public GeoPolygon() {
this.points = new ArrayList<Geocode>();
}
public GeoPolygon(ArrayList<Geocode> points) {
this.points = points;
}
public GeoPolygon add(Geocode geo) {
points.add(geo);
return this;
}
public boolean inside(Geocode geo) {
int i, j;
boolean c = false;
for (i = 0, j = points.size() - 1; i < points.size(); j = i++) {
if (((points.get(i).getLongitude() > geo.getLongitude()) != (points.get(j).getLongitude() > geo.getLongitude())) &&
(geo.getLatitude() < (points.get(j).getLatitude() - points.get(i).getLatitude()) * (geo.getLongitude() - points.get(i).getLongitude()) / (points.get(j).getLongitude() - points.get(i).getLongitude()) + points.get(i).getLatitude()))
c = !c;
}
return c;
}
}
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