我如何确定两条直线是否相交,如果相交,在x,y点处?


当前回答

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。

其他回答

以下是对加文回答的改进。马普的解决方案也类似,但都没有推迟分割。

这实际上也是Gareth Rees的答案的一个实际应用,因为向量积在2D中的等价是补点积,这段代码用了其中的三个。切换到3D并使用叉积,在最后插入s和t,结果是3D中直线之间的两个最近点。 不管怎样,2D解:

int 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 s02_x, s02_y, s10_x, s10_y, s32_x, s32_y, s_numer, t_numer, denom, t;
    s10_x = p1_x - p0_x;
    s10_y = p1_y - p0_y;
    s32_x = p3_x - p2_x;
    s32_y = p3_y - p2_y;

    denom = s10_x * s32_y - s32_x * s10_y;
    if (denom == 0)
        return 0; // Collinear
    bool denomPositive = denom > 0;

    s02_x = p0_x - p2_x;
    s02_y = p0_y - p2_y;
    s_numer = s10_x * s02_y - s10_y * s02_x;
    if ((s_numer < 0) == denomPositive)
        return 0; // No collision

    t_numer = s32_x * s02_y - s32_y * s02_x;
    if ((t_numer < 0) == denomPositive)
        return 0; // No collision

    if (((s_numer > denom) == denomPositive) || ((t_numer > denom) == denomPositive))
        return 0; // No collision
    // Collision detected
    t = t_numer / denom;
    if (i_x != NULL)
        *i_x = p0_x + (t * s10_x);
    if (i_y != NULL)
        *i_y = p0_y + (t * s10_y);

    return 1;
}

基本上,它将除法延迟到最后一刻,并将大多数测试移动到某些计算完成之前,从而增加了早期退出。最后,它还避免了直线平行时的除零情况。

您可能还想考虑使用ε检验,而不是与零比较。非常接近平行的线会产生稍微偏离的结果。这不是一个bug,这是浮点数学的一个限制。

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。

基于@Gareth Rees的回答,Python版本:

import numpy as np

def np_perp( a ) :
    b = np.empty_like(a)
    b[0] = a[1]
    b[1] = -a[0]
    return b

def np_cross_product(a, b):
    return np.dot(a, np_perp(b))

def np_seg_intersect(a, b, considerCollinearOverlapAsIntersect = False):
    # https://stackoverflow.com/questions/563198/how-do-you-detect-where-two-line-segments-intersect/565282#565282
    # http://www.codeproject.com/Tips/862988/Find-the-intersection-point-of-two-line-segments
    r = a[1] - a[0]
    s = b[1] - b[0]
    v = b[0] - a[0]
    num = np_cross_product(v, r)
    denom = np_cross_product(r, s)
    # If r x s = 0 and (q - p) x r = 0, then the two lines are collinear.
    if np.isclose(denom, 0) and np.isclose(num, 0):
        # 1. If either  0 <= (q - p) * r <= r * r or 0 <= (p - q) * s <= * s
        # then the two lines are overlapping,
        if(considerCollinearOverlapAsIntersect):
            vDotR = np.dot(v, r)
            aDotS = np.dot(-v, s)
            if (0 <= vDotR  and vDotR <= np.dot(r,r)) or (0 <= aDotS  and aDotS <= np.dot(s,s)):
                return True
        # 2. If neither 0 <= (q - p) * r = r * r nor 0 <= (p - q) * s <= s * s
        # then the two lines are collinear but disjoint.
        # No need to implement this expression, as it follows from the expression above.
        return None
    if np.isclose(denom, 0) and not np.isclose(num, 0):
        # Parallel and non intersecting
        return None
    u = num / denom
    t = np_cross_product(v, s) / denom
    if u >= 0 and u <= 1 and t >= 0 and t <= 1:
        res = b[0] + (s*u)
        return res
    # Otherwise, the two line segments are not parallel but do not intersect.
    return None

上面有很多解决方案,但我认为下面的解决方案很简单,很容易理解。

矢量AB和矢量CD相交当且仅当

端点a和b在线段CD的两边。 端点c和d在线段AB的对边。

更具体地说,a和b在线段CD的对面当且仅当两个三元组中有一个是逆时针顺序的。

Intersect(a, b, c, d)
 if CCW(a, c, d) == CCW(b, c, d)
    return false;
 else if CCW(a, b, c) == CCW(a, b, d)
    return false;
 else
    return true;

这里的CCW代表逆时针,根据点的方向返回真/假。

来源:http://compgeom.cs.uiuc.edu/~jeffe/teaching/373/notes/x06-sweepline.pdf 第二页