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
我需要一个Godot (GDscript)的实现,所以我写了一个基于grumdrig接受的答案:
func minimum_distance(v: Vector2, w: Vector2, p: Vector2):
# Return minimum distance between line segment vw and point p
var l2: float = (v - w).length_squared() # i.e. |w-v|^2 - avoid a sqrt
if l2 == 0.0:
return p.distance_to(v) # v == w case
# 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
# We clamp t from [0,1] to handle points outside the segment vw.
var t: float = max(0, min(1, (p - v).dot(w - v) / l2))
var projection: Vector2 = v + t * (w - v) # Projection falls on the segment
return p.distance_to(projection)
其他回答
对于感兴趣的人,这里是Joshua的Javascript代码到Objective-C的简单转换:
- (double)distanceToPoint:(CGPoint)p fromLineSegmentBetween:(CGPoint)l1 and:(CGPoint)l2
{
double A = p.x - l1.x;
double B = p.y - l1.y;
double C = l2.x - l1.x;
double D = l2.y - l1.y;
double dot = A * C + B * D;
double len_sq = C * C + D * D;
double param = dot / len_sq;
double xx, yy;
if (param < 0 || (l1.x == l2.x && l1.y == l2.y)) {
xx = l1.x;
yy = l1.y;
}
else if (param > 1) {
xx = l2.x;
yy = l2.y;
}
else {
xx = l1.x + param * C;
yy = l1.y + param * D;
}
double dx = p.x - xx;
double dy = p.y - yy;
return sqrtf(dx * dx + dy * dy);
}
我需要这个解决方案与MKMapPoint一起工作,所以我将分享它,以防其他人需要它。只是一些小的改变,这将返回米为单位的距离:
- (double)distanceToPoint:(MKMapPoint)p fromLineSegmentBetween:(MKMapPoint)l1 and:(MKMapPoint)l2
{
double A = p.x - l1.x;
double B = p.y - l1.y;
double C = l2.x - l1.x;
double D = l2.y - l1.y;
double dot = A * C + B * D;
double len_sq = C * C + D * D;
double param = dot / len_sq;
double xx, yy;
if (param < 0 || (l1.x == l2.x && l1.y == l2.y)) {
xx = l1.x;
yy = l1.y;
}
else if (param > 1) {
xx = l2.x;
yy = l2.y;
}
else {
xx = l1.x + param * C;
yy = l1.y + param * D;
}
return MKMetersBetweenMapPoints(p, MKMapPointMake(xx, yy));
}
如果它是一条无限大的直线,而不是一条线段,最简单的方法是这样(在ruby中),其中mx + b是直线,(x1, y1)是已知的点
(y1 - mx1 - b).abs / Math.sqrt(m**2 + 1)
c#版本
public static FP DistanceToLineSegment(FPVector3 a, FPVector3 b, FPVector3 point)
{
var d = b - a;
var s = d.SqrMagnitude;
var ds = d / s;
var lambda = FPVector3.Dot(point - a, ds);
var p = FPMath.Clamp01(lambda) * d;
return (a + p - point).Magnitude;
}
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)
伊莱,你选定的代码是错误的。在线段所在直线附近但远离线段一端的点将被错误地判断为接近线段。更新:上面提到的错误答案已不再被接受。
下面是一些正确的c++代码。它假设一个2d向量类vec2 {float x,y;},本质上,带有加法、subract、缩放等运算符,以及一个距离和点积函数(即x1 x2 + y1 y2)。
float minimum_distance(vec2 v, vec2 w, vec2 p) {
// Return minimum distance between line segment vw and point p
const float l2 = length_squared(v, w); // i.e. |w-v|^2 - avoid a sqrt
if (l2 == 0.0) return distance(p, v); // v == w case
// 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
// We clamp t from [0,1] to handle points outside the segment vw.
const float t = max(0, min(1, dot(p - v, w - v) / l2));
const vec2 projection = v + t * (w - v); // Projection falls on the segment
return distance(p, projection);
}
编辑:我需要一个Javascript实现,所以在这里,没有依赖关系(或注释,但它是一个直接的端口以上)。点被表示为具有x和y属性的对象。
function sqr(x) { return x * x }
function dist2(v, w) { return sqr(v.x - w.x) + sqr(v.y - w.y) }
function distToSegmentSquared(p, v, w) {
var l2 = dist2(v, w);
if (l2 == 0) return dist2(p, v);
var 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 dist2(p, { x: v.x + t * (w.x - v.x),
y: v.y + t * (w.y - v.y) });
}
function distToSegment(p, v, w) { return Math.sqrt(distToSegmentSquared(p, v, w)); }
编辑2:我需要一个Java版本,但更重要的是,我需要3d版本而不是2d版本。
float dist_to_segment_squared(float px, float py, float pz, float lx1, float ly1, float lz1, float lx2, float ly2, float lz2) {
float line_dist = dist_sq(lx1, ly1, lz1, lx2, ly2, lz2);
if (line_dist == 0) return dist_sq(px, py, pz, lx1, ly1, lz1);
float t = ((px - lx1) * (lx2 - lx1) + (py - ly1) * (ly2 - ly1) + (pz - lz1) * (lz2 - lz1)) / line_dist;
t = constrain(t, 0, 1);
return dist_sq(px, py, pz, lx1 + t * (lx2 - lx1), ly1 + t * (ly2 - ly1), lz1 + t * (lz2 - lz1));
}
这里,在函数参数中,<px,py,pz>是问题点,线段有端点<lx1,ly1,lz1>和<lx2,ly2,lz2>。函数dist_sq(假定存在)求两点之间距离的平方。