我需要一个基本函数来求点到线段的最短距离。你可以随意用任何你想要的语言来编写解决方案;我可以把它翻译成什么我正在使用(Javascript)。
编辑:线段由两个端点定义。线段AB由两点A (x1,y1)和B (x2,y2)定义。我要求的是这条线段到点C (x3,y3)的距离。我的几何技能生疏了,所以我看到的例子让我很困惑,我很遗憾地承认。
我需要一个基本函数来求点到线段的最短距离。你可以随意用任何你想要的语言来编写解决方案;我可以把它翻译成什么我正在使用(Javascript)。
编辑:线段由两个端点定义。线段AB由两点A (x1,y1)和B (x2,y2)定义。我要求的是这条线段到点C (x3,y3)的距离。我的几何技能生疏了,所以我看到的例子让我很困惑,我很遗憾地承认。
当前回答
省道和颤振的解决方法:
import 'dart:math' as math;
class Utils {
static double shortestDistance(Point p1, Point p2, Point p3){
double px = p2.x - p1.x;
double py = p2.y - p1.y;
double temp = (px*px) + (py*py);
double u = ((p3.x - p1.x)*px + (p3.y - p1.y)* py) /temp;
if(u>1){
u=1;
}
else if(u<0){
u=0;
}
double x = p1.x + u*px;
double y = p1.y + u*py;
double dx = x - p3.x;
double dy = y - p3.y;
double dist = math.sqrt(dx*dx+dy*dy);
return dist;
}
}
class Point {
double x;
double y;
Point(this.x, this.y);
}
其他回答
和这个答案一样,只是用的是Visual Basic。使其可作为Microsoft Excel和VBA/宏中的用户定义函数使用。
函数返回点(x,y)到由(x1,y1)和(x2,y2)定义的线段的最近距离。
Function DistanceToSegment(x As Double, y As Double, x1 As Double, y1 As Double, x2 As Double, y2 As Double)
Dim A As Double
A = x - x1
Dim B As Double
B = y - y1
Dim C As Double
C = x2 - x1
Dim D As Double
D = y2 - y1
Dim dot As Double
dot = A * C + B * D
Dim len_sq As Double
len_sq = C * C + D * D
Dim param As Double
param = -1
If (len_sq <> 0) Then
param = dot / len_sq
End If
Dim xx As Double
Dim yy As Double
If (param < 0) Then
xx = x1
yy = y1
ElseIf (param > 1) Then
xx = x2
yy = y2
Else
xx = x1 + param * C
yy = y1 + param * D
End If
Dim dx As Double
dx = x - xx
Dim dy As Double
dy = y - yy
DistanceToSegment = Math.Sqr(dx * dx + dy * dy)
End Function
只是遇到了这个,我想我应该添加一个Lua实现。它假设点以表{x=xVal, y=yVal}给出,直线或线段由包含两个点的表给出(见下面的例子):
function distance( P1, P2 )
return math.sqrt((P1.x-P2.x)^2 + (P1.y-P2.y)^2)
end
-- Returns false if the point lies beyond the reaches of the segment
function distPointToSegment( line, P )
if line[1].x == line[2].x and line[1].y == line[2].y then
print("Error: Not a line!")
return false
end
local d = distance( line[1], line[2] )
local t = ((P.x - line[1].x)*(line[2].x - line[1].x) + (P.y - line[1].y)*(line[2].y - line[1].y))/(d^2)
local projection = {}
projection.x = line[1].x + t*(line[2].x-line[1].x)
projection.y = line[1].y + t*(line[2].y-line[1].y)
if t >= 0 and t <= 1 then -- within line segment?
return distance( projection, {x=P.x, y=P.y} )
else
return false
end
end
-- Returns value even if point is further down the line (outside segment)
function distPointToLine( line, P )
if line[1].x == line[2].x and line[1].y == line[2].y then
print("Error: Not a line!")
return false
end
local d = distance( line[1], line[2] )
local t = ((P.x - line[1].x)*(line[2].x - line[1].x) + (P.y - line[1].y)*(line[2].y - line[1].y))/(d^2)
local projection = {}
projection.x = line[1].x + t*(line[2].x-line[1].x)
projection.y = line[1].y + t*(line[2].y-line[1].y)
return distance( projection, {x=P.x, y=P.y} )
end
使用示例:
local P1 = {x = 0, y = 0}
local P2 = {x = 10, y = 10}
local line = { P1, P2 }
local P3 = {x = 7, y = 15}
print(distPointToLine( line, P3 )) -- prints 5.6568542494924
print(distPointToSegment( line, P3 )) -- prints false
一个2D和3D的解决方案
考虑基底的变化,使得线段变成(0,0,0)-(d, 0,0)和点(u, v, 0)。在这个平面上,最短的距离由
u ≤ 0 -> d(A, C)
0 ≤ u ≤ d -> |v|
d ≤ u -> d(B, C)
(到其中一个端点或到支撑线的距离,取决于到该线的投影。等距轨迹由两个半圆和两条线段组成。)
式中,d为AB线段的长度,u、v分别为AB/d (AB方向的单位矢量)与AC的标量积和外积的模量。
AB.AC ≤ 0 -> |AC|
0 ≤ AB.AC ≤ AB² -> |ABxAC|/|AB|
AB² ≤ AB.AC -> |BC|
这个答案是基于公认答案的JavaScript解决方案。 它主要只是格式更好,函数名更长,当然函数语法更短,因为它是在ES6 + CoffeeScript中。
JavaScript版本(ES6)
distanceSquared = (v, w)=> Math.pow(v.x - w.x, 2) + Math.pow(v.y - w.y, 2);
distance = (v, w)=> Math.sqrt(distanceSquared(v, w));
distanceToLineSegmentSquared = (p, v, w)=> {
l2 = distanceSquared(v, w);
if (l2 === 0) {
return distanceSquared(p, v);
}
t = ((p.x - v.x) * (w.x - v.x) + (p.y - v.y) * (w.y - v.y)) / l2;
t = Math.max(0, Math.min(1, t));
return distanceSquared(p, {
x: v.x + t * (w.x - v.x),
y: v.y + t * (w.y - v.y)
});
}
distanceToLineSegment = (p, v, w)=> {
return Math.sqrt(distanceToLineSegmentSquared(p, v));
}
CoffeeScript版本
distanceSquared = (v, w)-> (v.x - w.x) ** 2 + (v.y - w.y) ** 2
distance = (v, w)-> Math.sqrt(distanceSquared(v, w))
distanceToLineSegmentSquared = (p, v, w)->
l2 = distanceSquared(v, w)
return distanceSquared(p, v) if l2 is 0
t = ((p.x - v.x) * (w.x - v.x) + (p.y - v.y) * (w.y - v.y)) / l2
t = Math.max(0, Math.min(1, t))
distanceSquared(p, {
x: v.x + t * (w.x - v.x)
y: v.y + t * (w.y - v.y)
})
distanceToLineSegment = (p, v, w)->
Math.sqrt(distanceToLineSegmentSquared(p, v, w))
Grumdrig的c++ /JavaScript实现对我来说非常有用,所以我提供了我正在使用的Python直接端口。完整的代码在这里。
class Point(object):
def __init__(self, x, y):
self.x = float(x)
self.y = float(y)
def square(x):
return x * x
def distance_squared(v, w):
return square(v.x - w.x) + square(v.y - w.y)
def distance_point_segment_squared(p, v, w):
# Segment length squared, |w-v|^2
d2 = distance_squared(v, w)
if d2 == 0:
# v == w, return distance to v
return distance_squared(p, v)
# Consider the line extending the segment, parameterized as v + t (w - v).
# We find projection of point p onto the line.
# It falls where t = [(p-v) . (w-v)] / |w-v|^2
t = ((p.x - v.x) * (w.x - v.x) + (p.y - v.y) * (w.y - v.y)) / d2;
if t < 0:
# Beyond v end of the segment
return distance_squared(p, v)
elif t > 1.0:
# Beyond w end of the segment
return distance_squared(p, w)
else:
# Projection falls on the segment.
proj = Point(v.x + t * (w.x - v.x), v.y + t * (w.y - v.y))
# print proj.x, proj.y
return distance_squared(p, proj)