有一个很好的方法来解决这个问题就是用向量叉乘。定义二维向量叉乘v × w为vx wy−vy wx。

假设这两条线段从p到p + r，从q到q + s。那么第一行上的任意点都可以表示为p + t r(对于标量参数t)，第二行上的任意点可以表示为q + u s(对于标量参数u)。

如果t和u满足以下条件，两条直线相交:

P + t r = q + u s

两边叉乘s，得到

(p + r) × s = (q + u s) × s

由于s × s = 0，这意味着

T (r × s) = (q−p) × s

因此，求解t:

T = (q−p) × s / (r × s)

同样地，我们可以解出u:

(p + r) × r = (q + u s) × r U (s × r) = (p−q) × r U = (p−q) × r / (s × r)

为了减少计算步骤，可以方便地将其重写为以下形式(记住s × r =−r × s):

U = q−p × r / (r × s)

现在有四种情况:

If r × s = 0 and (q − p) × r = 0, then the two lines are collinear. In this case, express the endpoints of the second segment (q and q + s) in terms of the equation of the first line segment (p + t r): t0 = (q − p) · r / (r · r) t1 = (q + s − p) · r / (r · r) = t0 + s · r / (r · r) If the interval between t0 and t1 intersects the interval [0, 1] then the line segments are collinear and overlapping; otherwise they are collinear and disjoint. Note that if s and r point in opposite directions, then s · r < 0 and so the interval to be checked is [t1, t0] rather than [t0, t1]. If r × s = 0 and (q − p) × r ≠ 0, then the two lines are parallel and non-intersecting. If r × s ≠ 0 and 0 ≤ t ≤ 1 and 0 ≤ u ≤ 1, the two line segments meet at the point p + t r = q + u s. Otherwise, the two line segments are not parallel but do not intersect.

来源:该方法是3D线相交算法的2维专门化，来自Ronald Goldman发表在Graphics Gems，第304页的文章“三条线在三维空间中的相交”。在三维空间中，通常的情况是直线是倾斜的(既不平行也不相交)，在这种情况下，该方法给出了两条直线最接近的点。

一个c++程序，用于检查两条给定线段是否相交

#include <iostream>
using namespace std;

struct Point
{
    int x;
    int y;
};

// Given three colinear points p, q, r, the function checks if
// point q lies on line segment 'pr'
bool onSegment(Point p, Point q, Point r)
{
    if (q.x <= max(p.x, r.x) && q.x >= min(p.x, r.x) &&
        q.y <= max(p.y, r.y) && q.y >= min(p.y, r.y))
       return true;

    return false;
}

// To find orientation of ordered triplet (p, q, r).
// The function returns following values
// 0 --> p, q and r are colinear
// 1 --> Clockwise
// 2 --> Counterclockwise
int orientation(Point p, Point q, Point r)
{
    // See 10th slides from following link for derivation of the formula
    // http://www.dcs.gla.ac.uk/~pat/52233/slides/Geometry1x1.pdf
    int val = (q.y - p.y) * (r.x - q.x) -
              (q.x - p.x) * (r.y - q.y);

    if (val == 0) return 0;  // colinear

    return (val > 0)? 1: 2; // clock or counterclock wise
}

// The main function that returns true if line segment 'p1q1'
// and 'p2q2' intersect.
bool doIntersect(Point p1, Point q1, Point p2, Point q2)
{
    // Find the four orientations needed for general and
    // special cases
    int o1 = orientation(p1, q1, p2);
    int o2 = orientation(p1, q1, q2);
    int o3 = orientation(p2, q2, p1);
    int o4 = orientation(p2, q2, q1);

    // General case
    if (o1 != o2 && o3 != o4)
        return true;

    // Special Cases
    // p1, q1 and p2 are colinear and p2 lies on segment p1q1
    if (o1 == 0 && onSegment(p1, p2, q1)) return true;

    // p1, q1 and p2 are colinear and q2 lies on segment p1q1
    if (o2 == 0 && onSegment(p1, q2, q1)) return true;

    // p2, q2 and p1 are colinear and p1 lies on segment p2q2
    if (o3 == 0 && onSegment(p2, p1, q2)) return true;

     // p2, q2 and q1 are colinear and q1 lies on segment p2q2
    if (o4 == 0 && onSegment(p2, q1, q2)) return true;

    return false; // Doesn't fall in any of the above cases
}

// Driver program to test above functions
int main()
{
    struct Point p1 = {1, 1}, q1 = {10, 1};
    struct Point p2 = {1, 2}, q2 = {10, 2};

    doIntersect(p1, q1, p2, q2)? cout << "Yes\n": cout << "No\n";

    p1 = {10, 0}, q1 = {0, 10};
    p2 = {0, 0}, q2 = {10, 10};
    doIntersect(p1, q1, p2, q2)? cout << "Yes\n": cout << "No\n";

    p1 = {-5, -5}, q1 = {0, 0};
    p2 = {1, 1}, q2 = {10, 10};
    doIntersect(p1, q1, p2, q2)? cout << "Yes\n": cout << "No\n";

    return 0;
}

人们似乎对Gavin的答案很感兴趣，cortijon在评论中提出了一个javascript版本，iMalc提供了一个计算量略少的版本。一些人指出了各种代码建议的缺点，另一些人则评论了一些代码建议的效率。

iMalc通过Gavin的答案提供的算法是我目前在一个javascript项目中使用的算法，我只是想在这里提供一个清理过的版本，如果它可以帮助到任何人的话。

// Some variables for reuse, others may do this differently
var p0x, p1x, p2x, p3x, ix,
    p0y, p1y, p2y, p3y, iy,
    collisionDetected;

// do stuff, call other functions, set endpoints...

// note: for my purpose I use |t| < |d| as opposed to
// |t| <= |d| which is equivalent to 0 <= t < 1 rather than
// 0 <= t <= 1 as in Gavin's answer - results may vary

var lineSegmentIntersection = function(){
    var d, dx1, dx2, dx3, dy1, dy2, dy3, s, t;

    dx1 = p1x - p0x;      dy1 = p1y - p0y;
    dx2 = p3x - p2x;      dy2 = p3y - p2y;
    dx3 = p0x - p2x;      dy3 = p0y - p2y;

    collisionDetected = 0;

    d = dx1 * dy2 - dx2 * dy1;

    if(d !== 0){
        s = dx1 * dy3 - dx3 * dy1;
        if((s <= 0 && d < 0 && s >= d) || (s >= 0 && d > 0 && s <= d)){
            t = dx2 * dy3 - dx3 * dy2;
            if((t <= 0 && d < 0 && t > d) || (t >= 0 && d > 0 && t < d)){
                t = t / d;
                collisionDetected = 1;
                ix = p0x + t * dx1;
                iy = p0y + t * dy1;
            }
        }
    }
};

C和Objective-C

基于Gareth Rees的回答

const AGKLine AGKLineZero = (AGKLine){(CGPoint){0.0, 0.0}, (CGPoint){0.0, 0.0}};

AGKLine AGKLineMake(CGPoint start, CGPoint end)
{
    return (AGKLine){start, end};
}

double AGKLineLength(AGKLine l)
{
    return CGPointLengthBetween_AGK(l.start, l.end);
}

BOOL AGKLineIntersection(AGKLine l1, AGKLine l2, CGPoint *out_pointOfIntersection)
{
    // http://stackoverflow.com/a/565282/202451

    CGPoint p = l1.start;
    CGPoint q = l2.start;
    CGPoint r = CGPointSubtract_AGK(l1.end, l1.start);
    CGPoint s = CGPointSubtract_AGK(l2.end, l2.start);
    
    double s_r_crossProduct = CGPointCrossProductZComponent_AGK(r, s);
    double t = CGPointCrossProductZComponent_AGK(CGPointSubtract_AGK(q, p), s) / s_r_crossProduct;
    double u = CGPointCrossProductZComponent_AGK(CGPointSubtract_AGK(q, p), r) / s_r_crossProduct;
    
    if(t < 0 || t > 1.0 || u < 0 || u > 1.0)
    {
        if(out_pointOfIntersection != NULL)
        {
            *out_pointOfIntersection = CGPointZero;
        }
        return NO;
    }
    else
    {
        if(out_pointOfIntersection != NULL)
        {
            CGPoint i = CGPointAdd_AGK(p, CGPointMultiply_AGK(r, t));
            *out_pointOfIntersection = i;
        }
        return YES;
    }
}

CGFloat CGPointCrossProductZComponent_AGK(CGPoint v1, CGPoint v2)
{
    return v1.x * v2.y - v1.y * v2.x;
}

CGPoint CGPointSubtract_AGK(CGPoint p1, CGPoint p2)
{
    return (CGPoint){p1.x - p2.x, p1.y - p2.y};
}

CGPoint CGPointAdd_AGK(CGPoint p1, CGPoint p2)
{
    return (CGPoint){p1.x + p2.x, p1.y + p2.y};
}

CGFloat CGPointCrossProductZComponent_AGK(CGPoint v1, CGPoint v2)
{
    return v1.x * v2.y - v1.y * v2.x;
}

CGPoint CGPointMultiply_AGK(CGPoint p1, CGFloat factor)
{
    return (CGPoint){p1.x * factor, p1.y * factor};
}

许多函数和结构都是私有的，但是你应该很容易就能知道发生了什么。 这是公开的在这个回购https://github.com/hfossli/AGGeometryKit/

只是想提一下，一个很好的解释和明确的解决方案可以在数字食谱系列中找到。我有这本书的第三版，答案在1117页21.4节。另一种不同命名的解决方案可以在玛丽娜·加夫里洛娃(Marina Gavrilova)的论文中找到。在我看来，她的解决办法要简单一些。

我的实现如下:

bool NuGeometry::IsBetween(const double& x0, const double& x, const double& x1){
   return (x >= x0) && (x <= x1);
}

bool NuGeometry::FindIntersection(const double& x0, const double& y0, 
     const double& x1, const double& y1,
     const double& a0, const double& b0, 
     const double& a1, const double& b1, 
     double& xy, double& ab) {
   // four endpoints are x0, y0 & x1,y1 & a0,b0 & a1,b1
   // returned values xy and ab are the fractional distance along xy and ab
   // and are only defined when the result is true

   bool partial = false;
   double denom = (b0 - b1) * (x0 - x1) - (y0 - y1) * (a0 - a1);
   if (denom == 0) {
      xy = -1;
      ab = -1;
   } else {
      xy = (a0 * (y1 - b1) + a1 * (b0 - y1) + x1 * (b1 - b0)) / denom;
      partial = NuGeometry::IsBetween(0, xy, 1);
      if (partial) {
         // no point calculating this unless xy is between 0 & 1
         ab = (y1 * (x0 - a1) + b1 * (x1 - x0) + y0 * (a1 - x1)) / denom; 
      }
   }
   if ( partial && NuGeometry::IsBetween(0, ab, 1)) {
      ab = 1-ab;
      xy = 1-xy;
      return true;
   }  else return false;
}

FWIW，下面的函数(在C中)既检测线的交点，又确定交点。这是基于Andre LeMothe的“Tricks of the Windows Game Programming Gurus”中的一个算法。这与其他答案(例如Gareth的答案)中的一些算法并没有什么不同。然后LeMothe使用克莱默法则(不要问我)来解这些方程。

我可以证明它在我的小行星克隆中起作用，并且似乎正确地处理了Elemental, Dan和Wodzu在其他答案中描述的边缘情况。它也可能比KingNestor发布的代码快，因为它都是乘法和除法，没有平方根!

我想这里有一些除以0的可能性，尽管在我的例子中这不是问题。很容易修改以避免崩溃。

// Returns 1 if the lines intersect, otherwise 0. In addition, if the lines 
// intersect the intersection point may be stored in the floats i_x and i_y.
char get_line_intersection(float p0_x, float p0_y, float p1_x, float p1_y, 
    float p2_x, float p2_y, float p3_x, float p3_y, float *i_x, float *i_y)
{
    float s1_x, s1_y, s2_x, s2_y;
    s1_x = p1_x - p0_x;     s1_y = p1_y - p0_y;
    s2_x = p3_x - p2_x;     s2_y = p3_y - p2_y;

    float s, t;
    s = (-s1_y * (p0_x - p2_x) + s1_x * (p0_y - p2_y)) / (-s2_x * s1_y + s1_x * s2_y);
    t = ( s2_x * (p0_y - p2_y) - s2_y * (p0_x - p2_x)) / (-s2_x * s1_y + s1_x * s2_y);

    if (s >= 0 && s <= 1 && t >= 0 && t <= 1)
    {
        // Collision detected
        if (i_x != NULL)
            *i_x = p0_x + (t * s1_x);
        if (i_y != NULL)
            *i_y = p0_y + (t * s1_y);
        return 1;
    }

    return 0; // No collision
}

顺便说一句，我必须说，在LeMothe的书中，虽然他显然得到了正确的算法，但他展示的具体示例插入了错误的数字，并且计算错误。例如:

(4 * (4-1) + 12 * (7-1))/(17 * 4 + 12 * 10) = 844/0.88 = 0.44

这让我困惑了好几个小时。：(