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
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;
其他回答
在f#中,点c到a和b之间的线段的距离为:
let pointToLineSegmentDistance (a: Vector, b: Vector) (c: Vector) =
let d = b - a
let s = d.Length
let lambda = (c - a) * d / s
let p = (lambda |> max 0.0 |> min s) * d / s
(a + p - c).Length
向量d沿着线段从a指向b。d/s与c-a的点积给出了无限直线与点c之间最接近点的参数。使用min和max函数将该参数钳制到范围0..s,使该点位于a和b之间。最后,a+p-c的长度是c到线段上最近点的距离。
使用示例:
pointToLineSegmentDistance (Vector(0.0, 0.0), Vector(1.0, 0.0)) (Vector(-1.0, 1.0))
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)
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
现在我的解决方案...... (Javascript)
这是非常快的,因为我试图避免任何数学。战俘的功能。
如你所见,在函数的最后,我得到了直线的距离。
代码来自lib http://www.draw2d.org/graphiti/jsdoc/#!/例子
/**
* Static util function to determine is a point(px,py) on the line(x1,y1,x2,y2)
* A simple hit test.
*
* @return {boolean}
* @static
* @private
* @param {Number} coronaWidth the accepted corona for the hit test
* @param {Number} X1 x coordinate of the start point of the line
* @param {Number} Y1 y coordinate of the start point of the line
* @param {Number} X2 x coordinate of the end point of the line
* @param {Number} Y2 y coordinate of the end point of the line
* @param {Number} px x coordinate of the point to test
* @param {Number} py y coordinate of the point to test
**/
graphiti.shape.basic.Line.hit= function( coronaWidth, X1, Y1, X2, Y2, px, py)
{
// Adjust vectors relative to X1,Y1
// X2,Y2 becomes relative vector from X1,Y1 to end of segment
X2 -= X1;
Y2 -= Y1;
// px,py becomes relative vector from X1,Y1 to test point
px -= X1;
py -= Y1;
var dotprod = px * X2 + py * Y2;
var projlenSq;
if (dotprod <= 0.0) {
// px,py is on the side of X1,Y1 away from X2,Y2
// distance to segment is length of px,py vector
// "length of its (clipped) projection" is now 0.0
projlenSq = 0.0;
} else {
// switch to backwards vectors relative to X2,Y2
// X2,Y2 are already the negative of X1,Y1=>X2,Y2
// to get px,py to be the negative of px,py=>X2,Y2
// the dot product of two negated vectors is the same
// as the dot product of the two normal vectors
px = X2 - px;
py = Y2 - py;
dotprod = px * X2 + py * Y2;
if (dotprod <= 0.0) {
// px,py is on the side of X2,Y2 away from X1,Y1
// distance to segment is length of (backwards) px,py vector
// "length of its (clipped) projection" is now 0.0
projlenSq = 0.0;
} else {
// px,py is between X1,Y1 and X2,Y2
// dotprod is the length of the px,py vector
// projected on the X2,Y2=>X1,Y1 vector times the
// length of the X2,Y2=>X1,Y1 vector
projlenSq = dotprod * dotprod / (X2 * X2 + Y2 * Y2);
}
}
// Distance to line is now the length of the relative point
// vector minus the length of its projection onto the line
// (which is zero if the projection falls outside the range
// of the line segment).
var lenSq = px * px + py * py - projlenSq;
if (lenSq < 0) {
lenSq = 0;
}
return Math.sqrt(lenSq)<coronaWidth;
};
在我自己的问题线程如何计算在C, c# / .NET 2.0或Java的所有情况下一个点和线段之间的最短2D距离?当我找到一个c#的答案时,我被要求把它放在这里:所以它是从http://www.topcoder.com/tc?d1=tutorials&d2=geometry1&module=Static修改的:
//Compute the dot product AB . BC
private double DotProduct(double[] pointA, double[] pointB, double[] pointC)
{
double[] AB = new double[2];
double[] BC = new double[2];
AB[0] = pointB[0] - pointA[0];
AB[1] = pointB[1] - pointA[1];
BC[0] = pointC[0] - pointB[0];
BC[1] = pointC[1] - pointB[1];
double dot = AB[0] * BC[0] + AB[1] * BC[1];
return dot;
}
//Compute the cross product AB x AC
private double CrossProduct(double[] pointA, double[] pointB, double[] pointC)
{
double[] AB = new double[2];
double[] AC = new double[2];
AB[0] = pointB[0] - pointA[0];
AB[1] = pointB[1] - pointA[1];
AC[0] = pointC[0] - pointA[0];
AC[1] = pointC[1] - pointA[1];
double cross = AB[0] * AC[1] - AB[1] * AC[0];
return cross;
}
//Compute the distance from A to B
double Distance(double[] pointA, double[] pointB)
{
double d1 = pointA[0] - pointB[0];
double d2 = pointA[1] - pointB[1];
return Math.Sqrt(d1 * d1 + d2 * d2);
}
//Compute the distance from AB to C
//if isSegment is true, AB is a segment, not a line.
double LineToPointDistance2D(double[] pointA, double[] pointB, double[] pointC,
bool isSegment)
{
double dist = CrossProduct(pointA, pointB, pointC) / Distance(pointA, pointB);
if (isSegment)
{
double dot1 = DotProduct(pointA, pointB, pointC);
if (dot1 > 0)
return Distance(pointB, pointC);
double dot2 = DotProduct(pointB, pointA, pointC);
if (dot2 > 0)
return Distance(pointA, pointC);
}
return Math.Abs(dist);
}
我不是要回答问题,而是要问问题,所以我希望我不会因为某些原因而得到数百万张反对票,而是批评。我只是想(并被鼓励)分享其他人的想法,因为这个帖子中的解决方案要么是用一些奇异的语言(Fortran, Mathematica),要么被某人标记为错误。对我来说唯一有用的(由Grumdrig编写)是用c++编写的,没有人标记它有错误。但是它缺少被调用的方法(dot等)。