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
下面是JavaScript的一个很好的解决方案(包括所有必需的数学和实时插图) https://bl.ocks.org/milkbread/11000965
尽管该解决方案中的is_on函数需要修改:
函数is_on(a, b, c) { return Math.abs(距离(a,c) +距离(c,b) -距离(a,b))<0.000001; }
其他回答
我根据chmike给出的答案为iOS创建了这个函数
+ (NSArray *)intersectionPointsOfCircleWithCenter:(CGPoint)center withRadius:(float)radius toLinePoint1:(CGPoint)p1 andLinePoint2:(CGPoint)p2
{
NSMutableArray *intersectionPoints = [NSMutableArray array];
float Ax = p1.x;
float Ay = p1.y;
float Bx = p2.x;
float By = p2.y;
float Cx = center.x;
float Cy = center.y;
float R = radius;
// compute the euclidean distance between A and B
float LAB = sqrt( pow(Bx-Ax, 2)+pow(By-Ay, 2) );
// compute the direction vector D from A to B
float Dx = (Bx-Ax)/LAB;
float Dy = (By-Ay)/LAB;
// Now the line equation is x = Dx*t + Ax, y = Dy*t + Ay with 0 <= t <= 1.
// compute the value t of the closest point to the circle center (Cx, Cy)
float t = Dx*(Cx-Ax) + Dy*(Cy-Ay);
// This is the projection of C on the line from A to B.
// compute the coordinates of the point E on line and closest to C
float Ex = t*Dx+Ax;
float Ey = t*Dy+Ay;
// compute the euclidean distance from E to C
float LEC = sqrt( pow(Ex-Cx, 2)+ pow(Ey-Cy, 2) );
// test if the line intersects the circle
if( LEC < R )
{
// compute distance from t to circle intersection point
float dt = sqrt( pow(R, 2) - pow(LEC,2) );
// compute first intersection point
float Fx = (t-dt)*Dx + Ax;
float Fy = (t-dt)*Dy + Ay;
// compute second intersection point
float Gx = (t+dt)*Dx + Ax;
float Gy = (t+dt)*Dy + Ay;
[intersectionPoints addObject:[NSValue valueWithCGPoint:CGPointMake(Fx, Fy)]];
[intersectionPoints addObject:[NSValue valueWithCGPoint:CGPointMake(Gx, Gy)]];
}
// else test if the line is tangent to circle
else if( LEC == R ) {
// tangent point to circle is E
[intersectionPoints addObject:[NSValue valueWithCGPoint:CGPointMake(Ex, Ey)]];
}
else {
// line doesn't touch circle
}
return intersectionPoints;
}
如果直线的坐标为A.x, A.y和B.x, B.y,圆心为C.x, C.y,则直线公式为:
x = A.x * t + B.x * (1 - t)
y = A.y * t + B.y * (1 - t)
0 < = t < = 1
这个圆是
(C.x - x)²+ (C.y - y)²= R²
如果你把直线的x和y公式代入圆公式,你会得到一个t的二阶方程,它的解是交点(如果有的话)。如果你得到的t小于0或大于1,那么它不是一个解,但它表明这条线“指向”圆的方向。
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 ;
}
另一种解决方案,首先考虑不关心碰撞位置的情况。请注意,这个特定的函数是在假设xB和yB为向量输入的情况下构建的,但如果情况并非如此,则可以轻松修改。变量名在函数的开头定义
#Line segment points (A0, Af) defined by xA0, yA0, xAf, yAf; circle center denoted by xB, yB; rB=radius of circle, rA = radius of point (set to zero for your application)
def staticCollision_f(xA0, yA0, xAf, yAf, rA, xB, yB, rB): #note potential speed up here by casting all variables to same type and/or using Cython
#Build equations of a line for linear agents (convert y = mx + b to ax + by + c = 0 means that a = -m, b = 1, c = -b
m_v = (yAf - yA0) / (xAf - xA0)
b_v = yAf - m_v * xAf
rEff = rA + rB #radii are added since we are considering the agent path as a thin line
#Check if points (circles) are within line segment (find center of line segment and check if circle is within radius of this point)
segmentMask = np.sqrt( (yB - (yA0+yAf)/2)**2 + (xB - (xA0+xAf)/2)**2 ) < np.sqrt( (yAf - yA0)**2 + (xAf - xA0)**2 ) / 2 + rEff
#Calculate perpendicular distance between line and a point
dist_v = np.abs(-m_v * xB + yB - b_v) / np.sqrt(m_v**2 + 1)
collisionMask = (dist_v < rEff) & segmentMask
#return True if collision is detected
return collisionMask, collisionMask.any()
如果您需要碰撞的位置,您可以使用这个站点上详细介绍的方法,并将其中一个代理的速度设置为零。这种方法也适用于矢量输入:http://twobitcoder.blogspot.com/2010/04/circle-collision-detection.html
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。