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

这是Javascript中最简单的完整代码。

(X, y)是目标点(x1, y)到(x2, y)是线段。

更新:修复了评论中0长度的行问题。

function pDistance(x, y, x1, y1, x2, y2) {

  var A = x - x1;
  var B = y - y1;
  var C = x2 - x1;
  var D = y2 - y1;

  var dot = A * C + B * D;
  var len_sq = C * C + D * D;
  var param = -1;
  if (len_sq != 0) //in case of 0 length line
      param = dot / len_sq;

  var xx, yy;

  if (param < 0) {
    xx = x1;
    yy = y1;
  }
  else if (param > 1) {
    xx = x2;
    yy = y2;
  }
  else {
    xx = x1 + param * C;
    yy = y1 + param * D;
  }

  var dx = x - xx;
  var dy = y - yy;
  return Math.sqrt(dx * dx + dy * dy);
}

更新:Kotlin版本

fun getDistance(x: Double, y: Double, x1: Double, y1: Double, x2: Double, y2: Double): Double {
    val a = x - x1
    val b = y - y1
    val c = x2 - x1
    val d = y2 - y1

    val lenSq = c * c + d * d
    val param = if (lenSq != .0) { //in case of 0 length line
        val dot = a * c + b * d
        dot / lenSq
    } else {
        -1.0
    }

    val (xx, yy) = when {
        param < 0 -> x1 to y1
        param > 1 -> x2 to y2
        else -> x1 + param * c to y1 + param * d
    }

    val dx = x - xx
    val dy = y - yy
    return hypot(dx, dy)
}

其他回答

这里是与c++答案相同的东西,但移植到pascal。点参数的顺序已经改变,以适应我的代码,但还是一样的东西。

function Dot(const p1, p2: PointF): double;
begin
  Result := p1.x * p2.x + p1.y * p2.y;
end;
function SubPoint(const p1, p2: PointF): PointF;
begin
  result.x := p1.x - p2.x;
  result.y := p1.y - p2.y;
end;

function ShortestDistance2(const p,v,w : PointF) : double;
var
  l2,t : double;
  projection,tt: PointF;
begin
  // Return minimum distance between line segment vw and point p
  //l2 := length_squared(v, w);  // i.e. |w-v|^2 -  avoid a sqrt
  l2 := Distance(v,w);
  l2 := MPower(l2,2);
  if (l2 = 0.0) then begin
    result:= Distance(p, v);   // v == w case
    exit;
  end;
  // 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 := Dot(SubPoint(p,v),SubPoint(w,v)) / l2;
  if (t < 0.0) then begin
    result := Distance(p, v);       // Beyond the 'v' end of the segment
    exit;
  end
  else if (t > 1.0) then begin
    result := Distance(p, w);  // Beyond the 'w' end of the segment
    exit;
  end;
  //projection := v + t * (w - v);  // Projection falls on the segment
  tt.x := v.x + t * (w.x - v.x);
  tt.y := v.y + t * (w.y - v.y);
  result := Distance(p, tt);
end;

Consider this modification to Grumdrig's answer above. Many times you'll find that floating point imprecision can cause problems. I'm using doubles in the version below, but you can easily change to floats. The important part is that it uses an epsilon to handle the "slop". In addition, you'll many times want to know WHERE the intersection happened, or if it happened at all. If the returned t is < 0.0 or > 1.0, no collision occurred. However, even if no collision occurred, many times you'll want to know where the closest point on the segment to P is, and thus I use qx and qy to return this location.

double PointSegmentDistanceSquared( double px, double py,
                                    double p1x, double p1y,
                                    double p2x, double p2y,
                                    double& t,
                                    double& qx, double& qy)
{
    static const double kMinSegmentLenSquared = 0.00000001;  // adjust to suit.  If you use float, you'll probably want something like 0.000001f
    static const double kEpsilon = 1.0E-14;  // adjust to suit.  If you use floats, you'll probably want something like 1E-7f
    double dx = p2x - p1x;
    double dy = p2y - p1y;
    double dp1x = px - p1x;
    double dp1y = py - p1y;
    const double segLenSquared = (dx * dx) + (dy * dy);
    if (segLenSquared >= -kMinSegmentLenSquared && segLenSquared <= kMinSegmentLenSquared)
    {
        // segment is a point.
        qx = p1x;
        qy = p1y;
        t = 0.0;
        return ((dp1x * dp1x) + (dp1y * dp1y));
    }
    else
    {
        // Project a line from p to the segment [p1,p2].  By considering the line
        // extending the segment, parameterized as p1 + (t * (p2 - p1)),
        // we find projection of point p onto the line. 
        // It falls where t = [(p - p1) . (p2 - p1)] / |p2 - p1|^2
        t = ((dp1x * dx) + (dp1y * dy)) / segLenSquared;
        if (t < kEpsilon)
        {
            // intersects at or to the "left" of first segment vertex (p1x, p1y).  If t is approximately 0.0, then
            // intersection is at p1.  If t is less than that, then there is no intersection (i.e. p is not within
            // the 'bounds' of the segment)
            if (t > -kEpsilon)
            {
                // intersects at 1st segment vertex
                t = 0.0;
            }
            // set our 'intersection' point to p1.
            qx = p1x;
            qy = p1y;
            // Note: If you wanted the ACTUAL intersection point of where the projected lines would intersect if
            // we were doing PointLineDistanceSquared, then qx would be (p1x + (t * dx)) and qy would be (p1y + (t * dy)).
        }
        else if (t > (1.0 - kEpsilon))
        {
            // intersects at or to the "right" of second segment vertex (p2x, p2y).  If t is approximately 1.0, then
            // intersection is at p2.  If t is greater than that, then there is no intersection (i.e. p is not within
            // the 'bounds' of the segment)
            if (t < (1.0 + kEpsilon))
            {
                // intersects at 2nd segment vertex
                t = 1.0;
            }
            // set our 'intersection' point to p2.
            qx = p2x;
            qy = p2y;
            // Note: If you wanted the ACTUAL intersection point of where the projected lines would intersect if
            // we were doing PointLineDistanceSquared, then qx would be (p1x + (t * dx)) and qy would be (p1y + (t * dy)).
        }
        else
        {
            // The projection of the point to the point on the segment that is perpendicular succeeded and the point
            // is 'within' the bounds of the segment.  Set the intersection point as that projected point.
            qx = p1x + (t * dx);
            qy = p1y + (t * dy);
        }
        // return the squared distance from p to the intersection point.  Note that we return the squared distance
        // as an optimization because many times you just need to compare relative distances and the squared values
        // works fine for that.  If you want the ACTUAL distance, just take the square root of this value.
        double dpqx = px - qx;
        double dpqy = py - qy;
        return ((dpqx * dpqx) + (dpqy * dpqy));
    }
}

Lua: 查找线段(不是整条线)与点之间的最小距离

function solveLinearEquation(A1,B1,C1,A2,B2,C2)
--it is the implitaion of a method of solving linear equations in x and y
  local f1 = B1*C2 -B2*C1
  local f2 = A2*C1-A1*C2
  local f3 = A1*B2 -A2*B1
  return {x= f1/f3, y= f2/f3}
end


function pointLiesOnLine(x,y,x1,y1,x2,y2)
  local dx1 = x-x1
  local  dy1 = y-y1
  local dx2 = x-x2
  local  dy2 = y-y2
  local crossProduct = dy1*dx2 -dx1*dy2

if crossProduct ~= 0  then  return  false
else
  if ((x1>=x) and (x>=x2)) or ((x2>=x) and (x>=x1)) then
    if ((y1>=y) and (y>=y2)) or ((y2>=y) and (y>=y1)) then
      return true
    else return false end
  else  return false end
end
end


function dist(x1,y1,x2,y2)
  local dx = x1-x2
  local dy = y1-y2
  return math.sqrt(dx*dx + dy* dy)
 end


function findMinDistBetnPointAndLine(x1,y1,x2,y2,x3,y3)
-- finds the min  distance between (x3,y3) and line (x1,y2)--(x2,y2)
   local A2,B2,C2,A1,B1,C1
   local dx = y2-y1
   local dy = x2-x1
   if dx == 0 then A2=1 B2=0 C2=-x3 A1=0 B1=1 C1=-y1 
   elseif dy == 0 then A2=0 B2=1 C2=-y3 A1=1 B1=0 C1=-x1
   else
      local m1 = dy/dx
      local m2 = -1/m1
      A2=m2 B2=-1 C2=y3-m2*x3 A1=m1 B1=-1 C1=y1-m1*x1
   end
 local intsecPoint= solveLinearEquation(A1,B1,C1,A2,B2,C2)
if pointLiesOnLine(intsecPoint.x, intsecPoint.y,x1,y1,x2,y2) then
   return dist(intsecPoint.x, intsecPoint.y, x3,y3)
 else
   return math.min(dist(x3,y3,x1,y1),dist(x3,y3,x2,y2))
end
end

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;
}

在javascript中使用几何:

var a = { x:20, y:20};//start segment    
var b = { x:40, y:30};//end segment   
var c = { x:37, y:14};//point   

// magnitude from a to c    
var ac = Math.sqrt( Math.pow( ( a.x - c.x ), 2 ) + Math.pow( ( a.y - c.y ), 2) );    
// magnitude from b to c   
var bc = Math.sqrt( Math.pow( ( b.x - c.x ), 2 ) + Math.pow( ( b.y - c.y ), 2 ) );    
// magnitude from a to b (base)     
var ab = Math.sqrt( Math.pow( ( a.x - b.x ), 2 ) + Math.pow( ( a.y - b.y ), 2 ) );    
 // perimeter of triangle     
var p = ac + bc + ab;    
 // area of the triangle    
var area = Math.sqrt( p/2 * ( p/2 - ac) * ( p/2 - bc ) * ( p/2 - ab ) );    
 // height of the triangle = distance    
var h = ( area * 2 ) / ab;    
console.log ("height: " + h);