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
公认的答案行不通 (例如,0,0和(-10,2,10,2)之间的距离应为2)。
下面是工作代码:
def dist2line2(x,y,line):
x1,y1,x2,y2=line
vx = x1 - x
vy = y1 - y
ux = x2-x1
uy = y2-y1
length = ux * ux + uy * uy
det = (-vx * ux) + (-vy * uy) #//if this is < 0 or > length then its outside the line segment
if det < 0:
return (x1 - x)**2 + (y1 - y)**2
if det > length:
return (x2 - x)**2 + (y2 - y)**2
det = ux * vy - uy * vx
return det**2 / length
def dist2line(x,y,line): return math.sqrt(dist2line2(x,y,line))
其他回答
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|
in R
#distance beetween segment ab and point c in 2D space
getDistance_ort_2 <- function(a, b, c){
#go to complex numbers
A<-c(a[1]+1i*a[2],b[1]+1i*b[2])
q=c[1]+1i*c[2]
#function to get coefficients of line (ab)
getAlphaBeta <- function(A)
{ a<-Re(A[2])-Re(A[1])
b<-Im(A[2])-Im(A[1])
ab<-as.numeric()
ab[1] <- -Re(A[1])*b/a+Im(A[1])
ab[2] <-b/a
if(Im(A[1])==Im(A[2])) ab<- c(Im(A[1]),0)
if(Re(A[1])==Re(A[2])) ab <- NA
return(ab)
}
#function to get coefficients of line ortogonal to line (ab) which goes through point q
getAlphaBeta_ort<-function(A,q)
{ ab <- getAlphaBeta(A)
coef<-c(Re(q)/ab[2]+Im(q),-1/ab[2])
if(Re(A[1])==Re(A[2])) coef<-c(Im(q),0)
return(coef)
}
#function to get coordinates of interception point
#between line (ab) and its ortogonal which goes through point q
getIntersection_ort <- function(A, q){
A.ab <- getAlphaBeta(A)
q.ab <- getAlphaBeta_ort(A,q)
if (!is.na(A.ab[1])&A.ab[2]==0) {
x<-Re(q)
y<-Im(A[1])}
if (is.na(A.ab[1])) {
x<-Re(A[1])
y<-Im(q)
}
if (!is.na(A.ab[1])&A.ab[2]!=0) {
x <- (q.ab[1] - A.ab[1])/(A.ab[2] - q.ab[2])
y <- q.ab[1] + q.ab[2]*x}
xy <- x + 1i*y
return(xy)
}
intersect<-getIntersection_ort(A,q)
if ((Mod(A[1]-intersect)+Mod(A[2]-intersect))>Mod(A[1]-A[2])) {dist<-min(Mod(A[1]-q),Mod(A[2]-q))
} else dist<-Mod(q-intersect)
return(dist)
}
用Matlab直接实现Grumdrig
function ans=distP2S(px,py,vx,vy,wx,wy)
% [px py vx vy wx wy]
t=( (px-vx)*(wx-vx)+(py-vy)*(wy-vy) )/idist(vx,wx,vy,wy)^2;
[idist(px,vx,py,vy) idist(px,vx+t*(wx-vx),py,vy+t*(wy-vy)) idist(px,wx,py,wy) ];
ans(1+(t>0)+(t>1)); % <0 0<=t<=1 t>1
end
function d=idist(a,b,c,d)
d=abs(a-b+1i*(c-d));
end
I'm assuming you want to find the shortest distance between the point and a line segment; to do this, you need to find the line (lineA) which is perpendicular to your line segment (lineB) which goes through your point, determine the intersection between that line (lineA) and your line which goes through your line segment (lineB); if that point is between the two points of your line segment, then the distance is the distance between your point and the point you just found which is the intersection of lineA and lineB; if the point is not between the two points of your line segment, you need to get the distance between your point and the closer of two ends of the line segment; this can be done easily by taking the square distance (to avoid a square root) between the point and the two points of the line segment; whichever is closer, take the square root of that one.
忍不住用python来编码:)
from math import sqrt, fabs
def pdis(a, b, c):
t = b[0]-a[0], b[1]-a[1] # Vector ab
dd = sqrt(t[0]**2+t[1]**2) # Length of ab
t = t[0]/dd, t[1]/dd # unit vector of ab
n = -t[1], t[0] # normal unit vector to ab
ac = c[0]-a[0], c[1]-a[1] # vector ac
return fabs(ac[0]*n[0]+ac[1]*n[1]) # Projection of ac to n (the minimum distance)
print pdis((1,1), (2,2), (2,0)) # Example (answer is 1.414)
fortran也是一样:)
real function pdis(a, b, c)
real, dimension(0:1), intent(in) :: a, b, c
real, dimension(0:1) :: t, n, ac
real :: dd
t = b - a ! Vector ab
dd = sqrt(t(0)**2+t(1)**2) ! Length of ab
t = t/dd ! unit vector of ab
n = (/-t(1), t(0)/) ! normal unit vector to ab
ac = c - a ! vector ac
pdis = abs(ac(0)*n(0)+ac(1)*n(1)) ! Projection of ac to n (the minimum distance)
end function pdis
program test
print *, pdis((/1.0,1.0/), (/2.0,2.0/), (/2.0,0.0/)) ! Example (answer is 1.414)
end program test