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
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)
}
其他回答
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
Lua解决方案
-- distance from point (px, py) to line segment (x1, y1, x2, y2)
function distPointToLine(px,py,x1,y1,x2,y2) -- point, start and end of the segment
local dx,dy = x2-x1,y2-y1
local length = math.sqrt(dx*dx+dy*dy)
dx,dy = dx/length,dy/length -- normalization
local p = dx*(px-x1)+dy*(py-y1)
if p < 0 then
dx,dy = px-x1,py-y1
return math.sqrt(dx*dx+dy*dy), x1, y1 -- distance, nearest point
elseif p > length then
dx,dy = px-x2,py-y2
return math.sqrt(dx*dx+dy*dy), x2, y2 -- distance, nearest point
end
return math.abs(dy*(px-x1)-dx*(py-y1)), x1+dx*p, y1+dy*p -- distance, nearest point
end
对于折线(有两条以上线段的线):
-- if the (poly-)line has several segments, just iterate through all of them:
function nearest_sector_in_line (x, y, line)
local x1, y1, x2, y2, min_dist
local ax,ay = line[1], line[2]
for j = 3, #line-1, 2 do
local bx,by = line[j], line[j+1]
local dist = distPointToLine(x,y,ax,ay,bx,by)
if not min_dist or dist < min_dist then
min_dist = dist
x1, y1, x2, y2 = ax,ay,bx,by
end
ax, ay = bx, by
end
return x1, y1, x2, y2
end
例子:
-- call it:
local x1, y1, x2, y2 = nearest_sector_in_line (7, 4, {0,0, 10,0, 10,10, 0,10})
JavaScript中一个基于这个公式的更简洁的解决方案:
distToSegment: function (point, linePointA, linePointB){
var x0 = point.X;
var y0 = point.Y;
var x1 = linePointA.X;
var y1 = linePointA.Y;
var x2 = linePointB.X;
var y2 = linePointB.Y;
var Dx = (x2 - x1);
var Dy = (y2 - y1);
var numerator = Math.abs(Dy*x0 - Dx*y0 - x1*y2 + x2*y1);
var denominator = Math.sqrt(Dx*Dx + Dy*Dy);
if (denominator == 0) {
return this.dist2(point, linePointA);
}
return numerator/denominator;
}
下面是HSQLDB的SQL实现:
CREATE FUNCTION dist_to_segment(px double, py double, vx double, vy double, wx double, wy double)
RETURNS double
BEGIN atomic
declare l2 double;
declare t double;
declare nx double;
declare ny double;
set l2 =(vx - wx)*(vx - wx) + (vy - wy)*(vy - wy);
IF l2 = 0 THEN
RETURN sqrt((vx - px)*(vx - px) + (vy - py)*(vy - py));
ELSE
set t = ((px - vx) * (wx - vx) + (py - vy) * (wy - vy)) / l2;
set t = GREATEST(0, LEAST(1, t));
set nx=vx + t * (wx - vx);
set ny=vy + t * (wy - vy);
RETURN sqrt((nx - px)*(nx - px) + (ny - py)*(ny - py));
END IF;
END;
Postgres的实现:
CREATE FUNCTION dist_to_segment(px numeric, py numeric, vx numeric, vy numeric, wx numeric, wy numeric)
RETURNS numeric
AS $$
declare l2 numeric;
declare t numeric;
declare nx numeric;
declare ny numeric;
BEGIN
l2 := (vx - wx)*(vx - wx) + (vy - wy)*(vy - wy);
IF l2 = 0 THEN
RETURN sqrt((vx - px)*(vx - px) + (vy - py)*(vy - py));
ELSE
t := ((px - vx) * (wx - vx) + (py - vy) * (wy - vy)) / l2;
t := GREATEST(0, LEAST(1, t));
nx := vx + t * (wx - vx);
ny := vy + t * (wy - vy);
RETURN sqrt((nx - px)*(nx - px) + (ny - py)*(ny - py));
END IF;
END;
$$ LANGUAGE plpgsql;
本想在GLSL中这样做,但如果可能的话,最好避免所有这些条件。使用clamp()可以避免两种端点情况:
// find closest point to P on line segment AB:
vec3 closest_point_on_line_segment(in vec3 P, in vec3 A, in vec3 B) {
vec3 AP = P - A, AB = B - A;
float l = dot(AB, AB);
if (l <= 0.0000001) return A; // A and B are practically the same
return AP - AB*clamp(dot(AP, AB)/l, 0.0, 1.0); // do the projection
}
如果您可以确定A和B彼此不会非常接近,则可以简化为删除If()。事实上,即使A和B是相同的,我的GPU仍然给出了这个无条件版本的正确结果(但这是使用pre-OpenGL 4.1,其中GLSL除零是未定义的):
// find closest point to P on line segment AB:
vec3 closest_point_on_line_segment(in vec3 P, in vec3 A, in vec3 B) {
vec3 AP = P - A, AB = B - A;
return AP - AB*clamp(dot(AP, AB)/dot(AB, AB), 0.0, 1.0);
}
计算距离是很简单的——GLSL提供了一个distance()函数,你可以在这个最近的点和P。
灵感来自Iñigo Quilez的胶囊距离函数代码