有没有一种简单的方法来确定一个点是否在三角形内?是2D的,不是3D的。
当前回答
一个简单的方法是:
找出连接 分别指向三角形的三个点 顶点和夹角之和 这些向量。如果它们的和 角度是2*那么点是 在三角形里面。
两个解释替代方案的好网站是:
黑卒和沃尔夫勒姆
其他回答
python中的其他函数,比Developer的方法更快(至少对我来说),并受到Cédric Dufour解决方案的启发:
def ptInTriang(p_test, p0, p1, p2):
dX = p_test[0] - p0[0]
dY = p_test[1] - p0[1]
dX20 = p2[0] - p0[0]
dY20 = p2[1] - p0[1]
dX10 = p1[0] - p0[0]
dY10 = p1[1] - p0[1]
s_p = (dY20*dX) - (dX20*dY)
t_p = (dX10*dY) - (dY10*dX)
D = (dX10*dY20) - (dY10*dX20)
if D > 0:
return ( (s_p >= 0) and (t_p >= 0) and (s_p + t_p) <= D )
else:
return ( (s_p <= 0) and (t_p <= 0) and (s_p + t_p) >= D )
你可以用:
X_size = 64
Y_size = 64
ax_x = np.arange(X_size).astype(np.float32)
ax_y = np.arange(Y_size).astype(np.float32)
coords=np.meshgrid(ax_x,ax_y)
points_unif = (coords[0].reshape(X_size*Y_size,),coords[1].reshape(X_size*Y_size,))
p_test = np.array([0 , 0])
p0 = np.array([22 , 8])
p1 = np.array([12 , 55])
p2 = np.array([7 , 19])
fig = plt.figure(dpi=300)
for i in range(0,X_size*Y_size):
p_test[0] = points_unif[0][i]
p_test[1] = points_unif[1][i]
if ptInTriang(p_test, p0, p1, p2):
plt.plot(p_test[0], p_test[1], '.g')
else:
plt.plot(p_test[0], p_test[1], '.r')
绘制网格需要花费很多时间,但是该网格在0.0195319652557秒内测试,而开发人员代码为0.0844349861145秒。
最后是代码注释:
# Using barycentric coordintes, any point inside can be described as:
# X = p0.x * r + p1.x * s + p2.x * t
# Y = p0.y * r + p1.y * s + p2.y * t
# with:
# r + s + t = 1 and 0 < r,s,t < 1
# then: r = 1 - s - t
# and then:
# X = p0.x * (1 - s - t) + p1.x * s + p2.x * t
# Y = p0.y * (1 - s - t) + p1.y * s + p2.y * t
#
# X = p0.x + (p1.x-p0.x) * s + (p2.x-p0.x) * t
# Y = p0.y + (p1.y-p0.y) * s + (p2.y-p0.y) * t
#
# X - p0.x = (p1.x-p0.x) * s + (p2.x-p0.x) * t
# Y - p0.y = (p1.y-p0.y) * s + (p2.y-p0.y) * t
#
# we have to solve:
#
# [ X - p0.x ] = [(p1.x-p0.x) (p2.x-p0.x)] * [ s ]
# [ Y - p0.Y ] [(p1.y-p0.y) (p2.y-p0.y)] [ t ]
#
# ---> b = A*x ; ---> x = A^-1 * b
#
# [ s ] = A^-1 * [ X - p0.x ]
# [ t ] [ Y - p0.Y ]
#
# A^-1 = 1/D * adj(A)
#
# The adjugate of A:
#
# adj(A) = [(p2.y-p0.y) -(p2.x-p0.x)]
# [-(p1.y-p0.y) (p1.x-p0.x)]
#
# The determinant of A:
#
# D = (p1.x-p0.x)*(p2.y-p0.y) - (p1.y-p0.y)*(p2.x-p0.x)
#
# Then:
#
# s_p = { (p2.y-p0.y)*(X - p0.x) - (p2.x-p0.x)*(Y - p0.Y) }
# t_p = { (p1.x-p0.x)*(Y - p0.Y) - (p1.y-p0.y)*(X - p0.x) }
#
# s = s_p / D
# t = t_p / D
#
# Recovering r:
#
# r = 1 - (s_p + t_p)/D
#
# Since we only want to know if it is insidem not the barycentric coordinate:
#
# 0 < 1 - (s_p + t_p)/D < 1
# 0 < (s_p + t_p)/D < 1
# 0 < (s_p + t_p) < D
#
# The condition is:
# if D > 0:
# s_p > 0 and t_p > 0 and (s_p + t_p) < D
# else:
# s_p < 0 and t_p < 0 and (s_p + t_p) > D
#
# s_p = { dY20*dX - dX20*dY }
# t_p = { dX10*dY - dY10*dX }
# D = dX10*dY20 - dY10*dX20
我在最后一次尝试谷歌和找到这个页面之前写了这段代码,所以我想我应该分享它。它基本上是Kisielewicz答案的优化版本。我也研究了重心法,但从维基百科的文章来看,我很难看出它是如何更有效的(我猜有一些更深层次的等价性)。不管怎样,这个算法的优点是不用除法;一个潜在的问题是边缘检测的行为取决于方向。
bool intpoint_inside_trigon(intPoint s, intPoint a, intPoint b, intPoint c)
{
int as_x = s.x - a.x;
int as_y = s.y - a.y;
bool s_ab = (b.x - a.x) * as_y - (b.y - a.y) * as_x > 0;
if ((c.x - a.x) * as_y - (c.y - a.y) * as_x > 0 == s_ab)
return false;
if ((c.x - b.x) * (s.y - b.y) - (c.y - b.y)*(s.x - b.x) > 0 != s_ab)
return false;
return true;
}
换句话说,思想是这样的:点s是在直线AB和直线AC的左边还是右边?如果是真的,它就不可能在里面。如果为假,则至少在“锥”内满足条件。现在,因为我们知道三角形(三角形)内的一个点必须与BC(以及CA)在AB的同一侧,我们检查它们是否不同。如果有,s就不可能在里面,否则s一定在里面。
计算中的一些关键字是线半平面和行列式(2x2叉乘)。也许一个更有教学意义的方法是将它看作是一个在AB、BC和CA的同一侧(左或右)的点。然而,上面的方法似乎更适合进行一些优化。
因为没有JS的答案, 顺时针和逆时针解决方案:
function triangleContains(ax, ay, bx, by, cx, cy, x, y) {
let det = (bx - ax) * (cy - ay) - (by - ay) * (cx - ax)
return det * ((bx - ax) * (y - ay) - (by - ay) * (x - ax)) >= 0 &&
det * ((cx - bx) * (y - by) - (cy - by) * (x - bx)) >= 0 &&
det * ((ax - cx) * (y - cy) - (ay - cy) * (x - cx)) >= 0
}
编辑:修正了两个拼写错误(关于符号和比较)。
https://jsfiddle.net/jniac/rctb3gfL/
function triangleContains(ax, ay, bx, by, cx, cy, x, y) { let det = (bx - ax) * (cy - ay) - (by - ay) * (cx - ax) return det * ((bx - ax) * (y - ay) - (by - ay) * (x - ax)) > 0 && det * ((cx - bx) * (y - by) - (cy - by) * (x - bx)) > 0 && det * ((ax - cx) * (y - cy) - (ay - cy) * (x - cx)) > 0 } let width = 500, height = 500 // clockwise let triangle1 = { A : { x: 10, y: -10 }, C : { x: 20, y: 100 }, B : { x: -90, y: 10 }, color: '#f00', } // counter clockwise let triangle2 = { A : { x: 20, y: -60 }, B : { x: 90, y: 20 }, C : { x: 20, y: 60 }, color: '#00f', } let scale = 2 let mouse = { x: 0, y: 0 } // DRAW > let wrapper = document.querySelector('div.wrapper') wrapper.onmousemove = ({ layerX:x, layerY:y }) => { x -= width / 2 y -= height / 2 x /= scale y /= scale mouse.x = x mouse.y = y drawInteractive() } function drawArrow(ctx, A, B) { let v = normalize(sub(B, A), 3) let I = center(A, B) let p p = add(I, rotate(v, 90), v) ctx.moveTo(p.x, p.y) ctx.lineTo(I.x, I .y) p = add(I, rotate(v, -90), v) ctx.lineTo(p.x, p.y) } function drawTriangle(ctx, { A, B, C, color }) { ctx.beginPath() ctx.moveTo(A.x, A.y) ctx.lineTo(B.x, B.y) ctx.lineTo(C.x, C.y) ctx.closePath() ctx.fillStyle = color + '6' ctx.strokeStyle = color ctx.fill() drawArrow(ctx, A, B) drawArrow(ctx, B, C) drawArrow(ctx, C, A) ctx.stroke() } function contains({ A, B, C }, P) { return triangleContains(A.x, A.y, B.x, B.y, C.x, C.y, P.x, P.y) } function resetCanvas(canvas) { canvas.width = width canvas.height = height let ctx = canvas.getContext('2d') ctx.resetTransform() ctx.clearRect(0, 0, width, height) ctx.setTransform(scale, 0, 0, scale, width/2, height/2) } function drawDots() { let canvas = document.querySelector('canvas#dots') let ctx = canvas.getContext('2d') resetCanvas(canvas) let count = 1000 for (let i = 0; i < count; i++) { let x = width * (Math.random() - .5) let y = width * (Math.random() - .5) ctx.beginPath() ctx.ellipse(x, y, 1, 1, 0, 0, 2 * Math.PI) if (contains(triangle1, { x, y })) { ctx.fillStyle = '#f00' } else if (contains(triangle2, { x, y })) { ctx.fillStyle = '#00f' } else { ctx.fillStyle = '#0003' } ctx.fill() } } function drawInteractive() { let canvas = document.querySelector('canvas#interactive') let ctx = canvas.getContext('2d') resetCanvas(canvas) ctx.beginPath() ctx.moveTo(0, -height/2) ctx.lineTo(0, height/2) ctx.moveTo(-width/2, 0) ctx.lineTo(width/2, 0) ctx.strokeStyle = '#0003' ctx.stroke() drawTriangle(ctx, triangle1) drawTriangle(ctx, triangle2) ctx.beginPath() ctx.ellipse(mouse.x, mouse.y, 4, 4, 0, 0, 2 * Math.PI) if (contains(triangle1, mouse)) { ctx.fillStyle = triangle1.color + 'a' ctx.fill() } else if (contains(triangle2, mouse)) { ctx.fillStyle = triangle2.color + 'a' ctx.fill() } else { ctx.strokeStyle = 'black' ctx.stroke() } } drawDots() drawInteractive() // trigo function add(...points) { let x = 0, y = 0 for (let point of points) { x += point.x y += point.y } return { x, y } } function center(...points) { let x = 0, y = 0 for (let point of points) { x += point.x y += point.y } x /= points.length y /= points.length return { x, y } } function sub(A, B) { let x = A.x - B.x let y = A.y - B.y return { x, y } } function normalize({ x, y }, length = 10) { let r = length / Math.sqrt(x * x + y * y) x *= r y *= r return { x, y } } function rotate({ x, y }, angle = 90) { let length = Math.sqrt(x * x + y * y) angle *= Math.PI / 180 angle += Math.atan2(y, x) x = length * Math.cos(angle) y = length * Math.sin(angle) return { x, y } } * { margin: 0; } html { font-family: monospace; } body { padding: 32px; } span.red { color: #f00; } span.blue { color: #00f; } canvas { position: absolute; border: solid 1px #ddd; } <p><span class="red">red triangle</span> is clockwise</p> <p><span class="blue">blue triangle</span> is couter clockwise</p> <br> <div class="wrapper"> <canvas id="dots"></canvas> <canvas id="interactive"></canvas> </div>
我在这里使用与上面描述的相同的方法:如果一个点分别位于AB, BC, CA的“同”边,则它在ABC内。
由andreasdr和Perro Azul发布的重心方法的c#版本。我添加了一个检查,当s和t有相反的符号(而且都不为零)时,放弃面积计算,因为潜在地避免三分之一的乘法成本似乎是合理的。
public static bool PointInTriangle(Point p, Point p0, Point p1, Point p2)
{
var s = (p0.X - p2.X) * (p.Y - p2.Y) - (p0.Y - p2.Y) * (p.X - p2.X);
var t = (p1.X - p0.X) * (p.Y - p0.Y) - (p1.Y - p0.Y) * (p.X - p0.X);
if ((s < 0) != (t < 0) && s != 0 && t != 0)
return false;
var d = (p2.X - p1.X) * (p.Y - p1.Y) - (p2.Y - p1.Y) * (p.X - p1.X);
return d == 0 || (d < 0) == (s + t <= 0);
}
2021年更新:这个版本正确处理任意一个缠绕方向(顺时针和逆时针)指定的三角形。请注意,对于恰好位于三角形边缘上的点,本页上的一些其他答案会给出不一致的结果,这取决于三角形三个点的排列顺序。这些点被认为是“在”三角形中,这段代码正确地返回true,而不管缠绕方向如何。
求解如下方程组:
p = p0 + (p1 - p0) * s + (p2 - p0) * t
当0 <= s <= 1和0 <= t <= 1以及s + t <= 1时,点p在三角形内。
S,t和1 - S - t称为点p的重心坐标。