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
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。
其他回答
许多答案把所有的计算都打包成一个函数。如果您需要计算直线斜率、y轴截距或x轴截距，以便在代码的其他地方使用，那么这些计算将是冗余的。我分离出了各自的函数，使用了明显的变量名，并注释了我的代码以使其更易于理解。我需要知道直线是否无限超出它们的端点，所以在JavaScript中:
http://jsfiddle.net/skibulk/evmqq00u/
var point_a = {x:0, y:10},
point_b = {x:12, y:12},
point_c = {x:10, y:0},
point_d = {x:0, y:0},
slope_ab = slope(point_a, point_b),
slope_bc = slope(point_b, point_c),
slope_cd = slope(point_c, point_d),
slope_da = slope(point_d, point_a),
yint_ab = y_intercept(point_a, slope_ab),
yint_bc = y_intercept(point_b, slope_bc),
yint_cd = y_intercept(point_c, slope_cd),
yint_da = y_intercept(point_d, slope_da),
xint_ab = x_intercept(point_a, slope_ab, yint_ab),
xint_bc = x_intercept(point_b, slope_bc, yint_bc),
xint_cd = x_intercept(point_c, slope_cd, yint_cd),
xint_da = x_intercept(point_d, slope_da, yint_da),
point_aa = intersect(slope_da, yint_da, xint_da, slope_ab, yint_ab, xint_ab),
point_bb = intersect(slope_ab, yint_ab, xint_ab, slope_bc, yint_bc, xint_bc),
point_cc = intersect(slope_bc, yint_bc, xint_bc, slope_cd, yint_cd, xint_cd),
point_dd = intersect(slope_cd, yint_cd, xint_cd, slope_da, yint_da, xint_da);
console.log(point_a, point_b, point_c, point_d);
console.log(slope_ab, slope_bc, slope_cd, slope_da);
console.log(yint_ab, yint_bc, yint_cd, yint_da);
console.log(xint_ab, xint_bc, xint_cd, xint_da);
console.log(point_aa, point_bb, point_cc, point_dd);
function slope(point_a, point_b) {
var i = (point_b.y - point_a.y) / (point_b.x - point_a.x);
if (i === -Infinity) return Infinity;
if (i === -0) return 0;
return i;
}
function y_intercept(point, slope) {
// Horizontal Line
if (slope == 0) return point.y;
// Vertical Line
if (slope == Infinity)
{
// THE Y-Axis
if (point.x == 0) return Infinity;
// No Intercept
return null;
}
// Angled Line
return point.y - (slope * point.x);
}
function x_intercept(point, slope, yint) {
// Vertical Line
if (slope == Infinity) return point.x;
// Horizontal Line
if (slope == 0)
{
// THE X-Axis
if (point.y == 0) return Infinity;
// No Intercept
return null;
}
// Angled Line
return -yint / slope;
}
// Intersection of two infinite lines
function intersect(slope_a, yint_a, xint_a, slope_b, yint_b, xint_b) {
if (slope_a == slope_b)
{
// Equal Lines
if (yint_a == yint_b && xint_a == xint_b) return Infinity;
// Parallel Lines
return null;
}
// First Line Vertical
if (slope_a == Infinity)
{
return {
x: xint_a,
y: (slope_b * xint_a) + yint_b
};
}
// Second Line Vertical
if (slope_b == Infinity)
{
return {
x: xint_b,
y: (slope_a * xint_b) + yint_a
};
}
// Not Equal, Not Parallel, Not Vertical
var i = (yint_b - yint_a) / (slope_a - slope_b);
return {
x: i,
y: (slope_a * i) + yint_a
};
}
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
如果矩形的每条边都是一条线段，并且用户绘制的部分也是一条线段，那么您只需检查用户绘制的线段是否与四条边线段相交。这应该是一个相当简单的练习，给定每个段的起点和终点。
这个解决方案可能会有所帮助
public static float GetLineYIntesept(PointF p, float slope)
{
return p.Y - slope * p.X;
}
public static PointF FindIntersection(PointF line1Start, PointF line1End, PointF line2Start, PointF line2End)
{
float slope1 = (line1End.Y - line1Start.Y) / (line1End.X - line1Start.X);
float slope2 = (line2End.Y - line2Start.Y) / (line2End.X - line2Start.X);
float yinter1 = GetLineYIntesept(line1Start, slope1);
float yinter2 = GetLineYIntesept(line2Start, slope2);
if (slope1 == slope2 && yinter1 != yinter2)
return PointF.Empty;
float x = (yinter2 - yinter1) / (slope1 - slope2);
float y = slope1 * x + yinter1;
return new PointF(x, y);
}
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。
