找到两条线段的正确交点是一项具有大量边缘情况的非简单任务。下面是一个用Java编写的、有效的、经过测试的解决方案。

本质上，在求两条线段的交点时，有三种情况会发生:

线段不相交 有一个唯一的交点 交点是另一段

注意:在代码中，我假设x1 = x2和y1 = y2的线段(x1, y1)， (x2, y2)是有效的线段。从数学上讲，线段由不同的点组成，但为了完整起见，我在这个实现中允许线段作为点。

代码是从我的github回购

/**
 * This snippet finds the intersection of two line segments.
 * The intersection may either be empty, a single point or the
 * intersection is a subsegment there's an overlap.
 */

import static java.lang.Math.abs;
import static java.lang.Math.max;
import static java.lang.Math.min;

import java.util.ArrayList;
import java.util.List;

public class LineSegmentLineSegmentIntersection {

  // Small epsilon used for double value comparison.
  private static final double EPS = 1e-5;

  // 2D Point class.
  public static class Pt {
    double x, y;
    public Pt(double x, double y) {
      this.x = x; 
      this.y = y;
    }
    public boolean equals(Pt pt) {
      return abs(x - pt.x) < EPS && abs(y - pt.y) < EPS;
    }
  }

  // Finds the orientation of point 'c' relative to the line segment (a, b)
  // Returns  0 if all three points are collinear.
  // Returns -1 if 'c' is clockwise to segment (a, b), i.e right of line formed by the segment.
  // Returns +1 if 'c' is counter clockwise to segment (a, b), i.e left of line
  // formed by the segment.
  public static int orientation(Pt a, Pt b, Pt c) {
    double value = (b.y - a.y) * (c.x - b.x) - 
                   (b.x - a.x) * (c.y - b.y);
    if (abs(value) < EPS) return 0;
    return (value > 0) ? -1 : +1;
  }

  // Tests whether point 'c' is on the line segment (a, b).
  // Ensure first that point c is collinear to segment (a, b) and
  // then check whether c is within the rectangle formed by (a, b)
  public static boolean pointOnLine(Pt a, Pt b, Pt c) {
    return orientation(a, b, c) == 0 && 
           min(a.x, b.x) <= c.x && c.x <= max(a.x, b.x) && 
           min(a.y, b.y) <= c.y && c.y <= max(a.y, b.y);
  }

  // Determines whether two segments intersect.
  public static boolean segmentsIntersect(Pt p1, Pt p2, Pt p3, Pt p4) {

    // Get the orientation of points p3 and p4 in relation
    // to the line segment (p1, p2)
    int o1 = orientation(p1, p2, p3);
    int o2 = orientation(p1, p2, p4);
    int o3 = orientation(p3, p4, p1);
    int o4 = orientation(p3, p4, p2);

    // If the points p1, p2 are on opposite sides of the infinite
    // line formed by (p3, p4) and conversly p3, p4 are on opposite
    // sides of the infinite line formed by (p1, p2) then there is
    // an intersection.
    if (o1 != o2 && o3 != o4) return true;

    // Collinear special cases (perhaps these if checks can be simplified?)
    if (o1 == 0 && pointOnLine(p1, p2, p3)) return true;
    if (o2 == 0 && pointOnLine(p1, p2, p4)) return true;
    if (o3 == 0 && pointOnLine(p3, p4, p1)) return true;
    if (o4 == 0 && pointOnLine(p3, p4, p2)) return true;

    return false;
  }

  public static List<Pt> getCommonEndpoints(Pt p1, Pt p2, Pt p3, Pt p4) {

    List<Pt> points = new ArrayList<>();

    if (p1.equals(p3)) {
      points.add(p1);
      if (p2.equals(p4)) points.add(p2);

    } else if (p1.equals(p4)) {
      points.add(p1);
      if (p2.equals(p3)) points.add(p2);

    } else if (p2.equals(p3)) {
      points.add(p2);
      if (p1.equals(p4)) points.add(p1);

    } else if (p2.equals(p4)) {
      points.add(p2);
      if (p1.equals(p3)) points.add(p1);
    }

    return points;
  }

  // Finds the intersection point(s) of two line segments. Unlike regular line 
  // segments, segments which are points (x1 = x2 and y1 = y2) are allowed.
  public static Pt[] lineSegmentLineSegmentIntersection(Pt p1, Pt p2, Pt p3, Pt p4) {

    // No intersection.
    if (!segmentsIntersect(p1, p2, p3, p4)) return new Pt[]{};

    // Both segments are a single point.
    if (p1.equals(p2) && p2.equals(p3) && p3.equals(p4))
      return new Pt[]{p1};

    List<Pt> endpoints = getCommonEndpoints(p1, p2, p3, p4);
    int n = endpoints.size();

    // One of the line segments is an intersecting single point.
    // NOTE: checking only n == 1 is insufficient to return early
    // because the solution might be a sub segment.
    boolean singleton = p1.equals(p2) || p3.equals(p4);
    if (n == 1 && singleton) return new Pt[]{endpoints.get(0)};

    // Segments are equal.
    if (n == 2) return new Pt[]{endpoints.get(0), endpoints.get(1)};

    boolean collinearSegments = (orientation(p1, p2, p3) == 0) && 
                                (orientation(p1, p2, p4) == 0);

    // The intersection will be a sub-segment of the two
    // segments since they overlap each other.
    if (collinearSegments) {

      // Segment #2 is enclosed in segment #1
      if (pointOnLine(p1, p2, p3) && pointOnLine(p1, p2, p4))
        return new Pt[]{p3, p4};

      // Segment #1 is enclosed in segment #2
      if (pointOnLine(p3, p4, p1) && pointOnLine(p3, p4, p2))
        return new Pt[]{p1, p2};

      // The subsegment is part of segment #1 and part of segment #2.
      // Find the middle points which correspond to this segment.
      Pt midPoint1 = pointOnLine(p1, p2, p3) ? p3 : p4;
      Pt midPoint2 = pointOnLine(p3, p4, p1) ? p1 : p2;

      // There is actually only one middle point!
      if (midPoint1.equals(midPoint2)) return new Pt[]{midPoint1};

      return new Pt[]{midPoint1, midPoint2};
    }

    /* Beyond this point there is a unique intersection point. */

    // Segment #1 is a vertical line.
    if (abs(p1.x - p2.x) < EPS) {
      double m = (p4.y - p3.y) / (p4.x - p3.x);
      double b = p3.y - m * p3.x;
      return new Pt[]{new Pt(p1.x, m * p1.x + b)};
    }

    // Segment #2 is a vertical line.
    if (abs(p3.x - p4.x) < EPS) {
      double m = (p2.y - p1.y) / (p2.x - p1.x);
      double b = p1.y - m * p1.x;
      return new Pt[]{new Pt(p3.x, m * p3.x + b)};
    }

    double m1 = (p2.y - p1.y) / (p2.x - p1.x);
    double m2 = (p4.y - p3.y) / (p4.x - p3.x);
    double b1 = p1.y - m1 * p1.x;
    double b2 = p3.y - m2 * p3.x;
    double x = (b2 - b1) / (m1 - m2);
    double y = (m1 * b2 - m2 * b1) / (m1 - m2);

    return new Pt[]{new Pt(x, y)};
  }

}

下面是一个简单的用法示例:

  public static void main(String[] args) {

    // Segment #1 is (p1, p2), segment #2 is (p3, p4)
    Pt p1, p2, p3, p4;

    p1 = new Pt(-2, 4); p2 = new Pt(3, 3);
    p3 = new Pt(0, 0);  p4 = new Pt(2, 4);
    Pt[] points = lineSegmentLineSegmentIntersection(p1, p2, p3, p4);
    Pt point = points[0];

    // Prints: (1.636, 3.273)
    System.out.printf("(%.3f, %.3f)\n", point.x, point.y);

    p1 = new Pt(-10, 0); p2 = new Pt(+10, 0);
    p3 = new Pt(-5, 0);  p4 = new Pt(+5, 0);
    points = lineSegmentLineSegmentIntersection(p1, p2, p3, p4);
    Pt point1 = points[0], point2 = points[1];

    // Prints: (-5.000, 0.000) (5.000, 0.000)
    System.out.printf("(%.3f, %.3f) (%.3f, %.3f)\n", point1.x, point1.y, point2.x, point2.y);
  }

iMalc回答的Python版本:

def find_intersection( p0, p1, p2, p3 ) :

    s10_x = p1[0] - p0[0]
    s10_y = p1[1] - p0[1]
    s32_x = p3[0] - p2[0]
    s32_y = p3[1] - p2[1]

    denom = s10_x * s32_y - s32_x * s10_y

    if denom == 0 : return None # collinear

    denom_is_positive = denom > 0

    s02_x = p0[0] - p2[0]
    s02_y = p0[1] - p2[1]

    s_numer = s10_x * s02_y - s10_y * s02_x

    if (s_numer < 0) == denom_is_positive : return None # no collision

    t_numer = s32_x * s02_y - s32_y * s02_x

    if (t_numer < 0) == denom_is_positive : return None # no collision

    if (s_numer > denom) == denom_is_positive or (t_numer > denom) == denom_is_positive : return None # no collision


    # collision detected

    t = t_numer / denom

    intersection_point = [ p0[0] + (t * s10_x), p0[1] + (t * s10_y) ]


    return intersection_point

曾经在这里被接受的答案是不正确的(它已经被不接受了，所以万岁!)它不能正确地消除所有非交点。简单地说，它可能有效，但也可能失败，特别是在0和1被认为对h有效的情况下。

考虑以下情况:

直线(4,1)-(5,1)和(0,0)-(0,2)

这两条垂线显然不重叠。

= (4,1) B =(5、1) C = (0, 0) D = (0, 2) E = (1) - (4,1) = (1,0) F = (0, 2) - (0, 0) = (0, 2) P = (0, 1) h =((4,1) -(0, 0))点(0,1)/((0,2)点(0,1))= 0

根据上面的答案，这两条线段在端点处相遇(值为0和1)。该端点为:

(0, 0) + (0, 2) * 0 = (0, 0)

So, apparently the two line segments meet at (0,0), which is on line CD, but not on line AB. So what is going wrong? The answer is that the values of 0 and 1 are not valid and only sometimes HAPPEN to correctly predict endpoint intersection. When the extension of one line (but not the other) would meet the line segment, the algorithm predicts an intersection of line segments, but this is not correct. I imagine that by testing starting with AB vs CD and then also testing with CD vs AB, this problem would be eliminated. Only if both fall between 0 and 1 inclusively can they be said to intersect.

如果你必须预测端点，我建议使用向量叉乘法。

-Dan

这是基于Gareth Ree的回答。它还返回线段重叠的情况。用c++编写的V是一个简单的向量类。其中二维中两个向量的外积返回一个标量。通过了学校自动测试系统的测试。

//Required input point must be colinear with the line
bool on_segment(const V& p, const LineSegment& l)
{
    //If a point is on the line, the sum of the vectors formed by the point to the line endpoints must be equal
    V va = p - l.pa;
    V vb = p - l.pb;
    R ma = va.magnitude();
    R mb = vb.magnitude();
    R ml = (l.pb - l.pa).magnitude();
    R s = ma + mb;
    bool r = s <= ml + epsilon;
    return r;
}

//Compute using vector math
// Returns 0 points if the lines do not intersect or overlap
// Returns 1 point if the lines intersect
//  Returns 2 points if the lines overlap, contain the points where overlapping start starts and stop
std::vector<V> intersect(const LineSegment& la, const LineSegment& lb)
{
    std::vector<V> r;

    //http://stackoverflow.com/questions/563198/how-do-you-detect-where-two-line-segments-intersect
    V oa, ob, da, db; //Origin and direction vectors
    R sa, sb; //Scalar values
    oa = la.pa;
    da = la.pb - la.pa;
    ob = lb.pa;
    db = lb.pb - lb.pa;

    if (da.cross(db) == 0 && (ob - oa).cross(da) == 0) //If colinear
    {
        if (on_segment(lb.pa, la) && on_segment(lb.pb, la))
        {
            r.push_back(lb.pa);
            r.push_back(lb.pb);
            dprintf("colinear, overlapping\n");
            return r;
        }

        if (on_segment(la.pa, lb) && on_segment(la.pb, lb))
        {
            r.push_back(la.pa);
            r.push_back(la.pb);
            dprintf("colinear, overlapping\n");
            return r;
        }

        if (on_segment(la.pa, lb))
            r.push_back(la.pa);

        if (on_segment(la.pb, lb))
            r.push_back(la.pb);

        if (on_segment(lb.pa, la))
            r.push_back(lb.pa);

        if (on_segment(lb.pb, la))
            r.push_back(lb.pb);

        if (r.size() == 0)
            dprintf("colinear, non-overlapping\n");
        else
            dprintf("colinear, overlapping\n");

        return r;
    }

    if (da.cross(db) == 0 && (ob - oa).cross(da) != 0)
    {
        dprintf("parallel non-intersecting\n");
        return r;
    }

    //Math trick db cross db == 0, which is a single scalar in 2D.
    //Crossing both sides with vector db gives:
    sa = (ob - oa).cross(db) / da.cross(db);

    //Crossing both sides with vector da gives
    sb = (oa - ob).cross(da) / db.cross(da);

    if (0 <= sa && sa <= 1 && 0 <= sb && sb <= 1)
    {
        dprintf("intersecting\n");
        r.push_back(oa + da * sa);
        return r;
    }

    dprintf("non-intersecting, non-parallel, non-colinear, non-overlapping\n");
    return r;
}

我认为这个问题有一个更简单的解决方案。今天我想到了另一个想法，看起来效果不错(至少在2D中)。你所要做的就是计算两条直线的交点，然后检查计算的交点是否在两条线段的边界框内。如果是，两条线段相交。就是这样。

编辑:

这就是我如何计算交集(我不知道我在哪里找到了这个代码片段)

Point3D

来自

System.Windows.Media.Media3D

public static Point3D? Intersection(Point3D start1, Point3D end1, Point3D start2, Point3D end2) {

        double a1 = end1.Y - start1.Y;
        double b1 = start1.X - end1.X;
        double c1 = a1 * start1.X + b1 * start1.Y;

        double a2 = end2.Y - start2.Y;
        double b2 = start2.X - end2.X;
        double c2 = a2 * start2.X + b2 * start2.Y;

        double det = a1 * b2 - a2 * b1;
        if (det == 0) { // lines are parallel
            return null;
        }

        double x = (b2 * c1 - b1 * c2) / det;
        double y = (a1 * c2 - a2 * c1) / det;

        return new Point3D(x, y, 0.0);
    }

这是我的BoundingBox类(为了回答的目的而简化):

public class BoundingBox {
    private Point3D min = new Point3D();
    private Point3D max = new Point3D();

    public BoundingBox(Point3D point) {
        min = point;
        max = point;
    }

    public Point3D Min {
        get { return min; }
        set { min = value; }
    }

    public Point3D Max {
        get { return max; }
        set { max = value; }
    }

    public bool Contains(BoundingBox box) {
        bool contains =
            min.X <= box.min.X && max.X >= box.max.X &&
            min.Y <= box.min.Y && max.Y >= box.max.Y &&
            min.Z <= box.min.Z && max.Z >= box.max.Z;
        return contains;
    }

    public bool Contains(Point3D point) {
        return Contains(new BoundingBox(point));
    }

}

我从《多视图几何》这本书里读到了这些算法

以下文本使用

'作为转置符号

*作为点积

当用作算子时，X作为叉乘

1. 线的定义

点x_vec = (x, y)'在直线ax + by + c = 0上

标记L = (a, b, c)'，点为(x, y, 1)'为齐次坐标

直线方程可以写成

(x, y, 1)(a, b, c)' = 0或x' * L = 0

2. 直线交点

我们有两条直线L1=(a1, b1, c1)'， L2=(a2, b2, c2)'

假设x是一个点，一个向量，x = L1 x L2 (L1叉乘L2)。

注意，x始终是一个二维点，如果你对(L1xL2)是一个三元素向量，x是一个二维坐标感到困惑，请阅读齐次坐标。

根据三重积，我们知道

L1 * (L1 x L2) = 0, L2 * (L1 x L2) = 0，因为L1,L2共平面

我们用向量x代替L1*x，那么L1*x=0, L2*x=0，这意味着x在L1和L2上，x是交点。

注意，这里x是齐次坐标，如果x的最后一个元素是零，这意味着L1和L2是平行的。