我有一条从a到B的直线和一个半径为R的圆。
用什么算法来检查直线是否与圆相交?它在圆边的哪个坐标上?
我有一条从a到B的直线和一个半径为R的圆。
用什么算法来检查直线是否与圆相交?它在圆边的哪个坐标上?
当前回答
采取
E是射线的起点, L是射线的端点, C是你测试的圆心 R是球面的半径
计算: d = L - E(射线方向矢量,从头到尾) f = E - C(从中心球到射线起点的向量)
然后通过…找到交点。 堵塞: P = E + t * d 这是一个参数方程 Px = Ex + tdx Py = Ey + tdy 成 (x - h)2 + (y - k)2 = r2 (h,k) =圆心。
注意:我们在这里将问题简化为2D,我们得到的解决方案也适用于3D
得到:
Expand x2 - 2xh + h2 + y2 - 2yk + k2 - r2 = 0 Plug x = ex + tdx y = ey + tdy ( ex + tdx )2 - 2( ex + tdx )h + h2 + ( ey + tdy )2 - 2( ey + tdy )k + k2 - r2 = 0 Explode ex2 + 2extdx + t2dx2 - 2exh - 2tdxh + h2 + ey2 + 2eytdy + t2dy2 - 2eyk - 2tdyk + k2 - r2 = 0 Group t2( dx2 + dy2 ) + 2t( exdx + eydy - dxh - dyk ) + ex2 + ey2 - 2exh - 2eyk + h2 + k2 - r2 = 0 Finally, t2( d · d ) + 2t( e · d - d · c ) + e · e - 2( e · c ) + c · c - r2 = 0 Where d is the vector d and · is the dot product. And then, t2( d · d ) + 2t( d · ( e - c ) ) + ( e - c ) · ( e - c ) - r2 = 0 Letting f = e - c t2( d · d ) + 2t( d · f ) + f · f - r2 = 0
所以我们得到: T2 *(d·d) + 2t*(f·d) + (f·f - r2) = 0
求解二次方程:
float a = d.Dot( d ) ;
float b = 2*f.Dot( d ) ;
float c = f.Dot( f ) - r*r ;
float discriminant = b*b-4*a*c;
if( discriminant < 0 )
{
// no intersection
}
else
{
// ray didn't totally miss sphere,
// so there is a solution to
// the equation.
discriminant = sqrt( discriminant );
// either solution may be on or off the ray so need to test both
// t1 is always the smaller value, because BOTH discriminant and
// a are nonnegative.
float t1 = (-b - discriminant)/(2*a);
float t2 = (-b + discriminant)/(2*a);
// 3x HIT cases:
// -o-> --|--> | | --|->
// Impale(t1 hit,t2 hit), Poke(t1 hit,t2>1), ExitWound(t1<0, t2 hit),
// 3x MISS cases:
// -> o o -> | -> |
// FallShort (t1>1,t2>1), Past (t1<0,t2<0), CompletelyInside(t1<0, t2>1)
if( t1 >= 0 && t1 <= 1 )
{
// t1 is the intersection, and it's closer than t2
// (since t1 uses -b - discriminant)
// Impale, Poke
return true ;
}
// here t1 didn't intersect so we are either started
// inside the sphere or completely past it
if( t2 >= 0 && t2 <= 1 )
{
// ExitWound
return true ;
}
// no intn: FallShort, Past, CompletelyInside
return false ;
}
其他回答
我只是需要它,所以我想出了这个解决方案。语言是maxscript,但是它应该很容易被翻译成任何其他语言。 sideA, sideB和CircleRadius为标量,其余变量为[x,y,z]。假设z=0在XY平面上求解
fn projectPoint p1 p2 p3 = --project p1 perpendicular to the line p2-p3
(
local v= normalize (p3-p2)
local p= (p1-p2)
p2+((dot v p)*v)
)
fn findIntersectionLineCircle CircleCenter CircleRadius LineP1 LineP2=
(
pp=projectPoint CircleCenter LineP1 LineP2
sideA=distance pp CircleCenter
--use pythagoras to solve the third side
sideB=sqrt(CircleRadius^2-sideA^2) -- this will return NaN if they don't intersect
IntersectV=normalize (pp-CircleCenter)
perpV=[IntersectV.y,-IntersectV.x,IntersectV.z]
--project the point to both sides to find the solutions
solution1=pp+(sideB*perpV)
solution2=pp-(sideB*perpV)
return #(solution1,solution2)
)
' VB.NET - Code
Function CheckLineSegmentCircleIntersection(x1 As Double, y1 As Double, x2 As Double, y2 As Double, xc As Double, yc As Double, r As Double) As Boolean
Static xd As Double = 0.0F
Static yd As Double = 0.0F
Static t As Double = 0.0F
Static d As Double = 0.0F
Static dx_2_1 As Double = 0.0F
Static dy_2_1 As Double = 0.0F
dx_2_1 = x2 - x1
dy_2_1 = y2 - y1
t = ((yc - y1) * dy_2_1 + (xc - x1) * dx_2_1) / (dy_2_1 * dy_2_1 + dx_2_1 * dx_2_1)
If 0 <= t And t <= 1 Then
xd = x1 + t * dx_2_1
yd = y1 + t * dy_2_1
d = Math.Sqrt((xd - xc) * (xd - xc) + (yd - yc) * (yd - yc))
Return d <= r
Else
d = Math.Sqrt((xc - x1) * (xc - x1) + (yc - y1) * (yc - y1))
If d <= r Then
Return True
Else
d = Math.Sqrt((xc - x2) * (xc - x2) + (yc - y2) * (yc - y2))
If d <= r Then
Return True
Else
Return False
End If
End If
End If
End Function
另一种方法使用三角形ABC面积公式。交点检验比投影法简单高效,但求交点坐标需要更多的工作。至少它会被推迟到需要的时候。
三角形面积的计算公式为:area = bh/2
b是底长,h是高。我们选择线段AB作为底,使h是圆心C到直线的最短距离。
因为三角形的面积也可以用向量点积来计算,所以我们可以确定h。
// compute the triangle area times 2 (area = area2/2)
area2 = abs( (Bx-Ax)*(Cy-Ay) - (Cx-Ax)(By-Ay) )
// compute the AB segment length
LAB = sqrt( (Bx-Ax)² + (By-Ay)² )
// compute the triangle height
h = area2/LAB
// if the line intersects the circle
if( h < R )
{
...
}
更新1:
您可以通过使用这里描述的快速平方根倒数计算来优化代码,以获得1/LAB的良好近似值。
计算交点并不难。开始了
// compute the line AB direction vector components
Dx = (Bx-Ax)/LAB
Dy = (By-Ay)/LAB
// compute the distance from A toward B of closest point to C
t = Dx*(Cx-Ax) + Dy*(Cy-Ay)
// t should be equal to sqrt( (Cx-Ax)² + (Cy-Ay)² - h² )
// compute the intersection point distance from t
dt = sqrt( R² - h² )
// compute first intersection point coordinate
Ex = Ax + (t-dt)*Dx
Ey = Ay + (t-dt)*Dy
// compute second intersection point coordinate
Fx = Ax + (t+dt)*Dx
Fy = Ay + (t+dt)*Dy
如果h = R,则直线AB与圆相切,且值dt = 0, E = F。点的坐标为E和F的坐标。
如果在应用程序中出现这种情况,您应该检查A与B是否不同,并且段长度不为空。
圆真的是一个坏人:)所以一个好办法是避免真正的圆,如果可以的话。如果你正在为游戏做碰撞检查,你可以进行一些简化,只做3个点积,并进行一些比较。
我称之为“胖点”或“瘦圈”。它是平行于线段方向上半径为0的椭圆。而是垂直于线段方向的全半径
首先,我会考虑重命名和切换坐标系统,以避免过多的数据:
s0s1 = B-A;
s0qp = C-A;
rSqr = r*r;
其次,hvec2f中的索引h意味着vector必须支持水平操作,如dot()/det()。这意味着它的组件被放置在一个单独的xmm寄存器中,以避免shuffle /hadd'ing/hsub'ing。现在我们开始,最简单的2D游戏碰撞检测的最佳性能版本:
bool fat_point_collides_segment(const hvec2f& s0qp, const hvec2f& s0s1, const float& rSqr) {
auto a = dot(s0s1, s0s1);
//if( a != 0 ) // if you haven't zero-length segments omit this, as it would save you 1 _mm_comineq_ss() instruction and 1 memory fetch
{
auto b = dot(s0s1, s0qp);
auto t = b / a; // length of projection of s0qp onto s0s1
//std::cout << "t = " << t << "\n";
if ((t >= 0) && (t <= 1)) //
{
auto c = dot(s0qp, s0qp);
auto r2 = c - a * t * t;
return (r2 <= rSqr); // true if collides
}
}
return false;
}
我怀疑你能进一步优化它。我正在用它进行神经网络驱动的赛车碰撞检测,处理数百万个迭代步骤。
这里你需要一些数学知识:
假设A = (Xa, Ya), B = (Xb, Yb), C = (Xc, Yc)。从A到B的直线上的任意一点都有坐标(*Xa + (1-)Xb, * ya + (1-)*Yb) = P
如果点P的距离是R到C,它一定在圆上。你想要的是解决
distance(P, C) = R
这是
(alpha*Xa + (1-alpha)*Xb)^2 + (alpha*Ya + (1-alpha)*Yb)^2 = R^2
alpha^2*Xa^2 + alpha^2*Xb^2 - 2*alpha*Xb^2 + Xb^2 + alpha^2*Ya^2 + alpha^2*Yb^2 - 2*alpha*Yb^2 + Yb^2=R^2
(Xa^2 + Xb^2 + Ya^2 + Yb^2)*alpha^2 - 2*(Xb^2 + Yb^2)*alpha + (Xb^2 + Yb^2 - R^2) = 0
如果你将abc公式应用到这个方程来求解,并使用alpha的解来计算P的坐标,你会得到交点,如果存在的话。