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
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。
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。
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。
以下是我在TypeScript中的解决方案,遵循@Mizipzor建议的想法(使用投影):
/**
* Determines whether a line segment defined by a start and end point intersects with a sphere defined by a center point and a radius
* @param a the start point of the line segment
* @param b the end point of the line segment
* @param c the center point of the sphere
* @param r the radius of the sphere
*/
export function lineSphereIntersects(
a: IPoint,
b: IPoint,
c: IPoint,
r: number
): boolean {
// find the three sides of the triangle formed by the three points
const ab: number = distance(a, b);
const ac: number = distance(a, c);
const bc: number = distance(b, c);
// check to see if either ends of the line segment are inside of the sphere
if (ac < r || bc < r) {
return true;
}
// find the angle between the line segment and the center of the sphere
const numerator: number = Math.pow(ac, 2) + Math.pow(ab, 2) - Math.pow(bc, 2);
const denominator: number = 2 * ac * ab;
const cab: number = Math.acos(numerator / denominator);
// find the distance from the center of the sphere and the line segment
const cd: number = Math.sin(cab) * ac;
// if the radius is at least as long as the distance between the center and the line
if (r >= cd) {
// find the distance between the line start and the point on the line closest to
// the center of the sphere
const ad: number = Math.cos(cab) * ac;
// intersection occurs when the point on the line closest to the sphere center is
// no further away than the end of the line
return ad <= ab;
}
return false;
}
export function distance(a: IPoint, b: IPoint): number {
return Math.sqrt(
Math.pow(b.z - a.z, 2) + Math.pow(b.y - a.y, 2) + Math.pow(b.x - a.x, 2)
);
}
export interface IPoint {
x: number;
y: number;
z: number;
}
我发现这个解决方案似乎比其他一些解决方案更容易遵循。
采取:
p1 and p2 as the points for the line, and
c as the center point for the circle and r for the radius
我可以用斜截式来解直线方程。但是,我不想处理以c为点的复杂方程,所以我只是平移了坐标系使圆在(0,0)处
p3 = p1 - c
p4 = p2 - c
顺便说一下,当我相互减分的时候,我是在减去x再减去y,然后把它们放到一个新的点里,以防有人不知道。
不管怎样,我现在解出p3和p4的直线方程
m = (p4_y - p3_y) / (p4_x - p3) (the underscore is an attempt at subscript)
y = mx + b
y - mx = b (just put in a point for x and y, and insert the m we found)
好的。现在我需要让这两个方程相等。首先我需要解圆的x方程
x^2 + y^2 = r^2
y^2 = r^2 - x^2
y = sqrt(r^2 - x^2)
然后我让它们相等:
mx + b = sqrt(r^2 - x^2)
求二次方程(0 = ax^2 + bx + c)
(mx + b)^2 = r^2 - x^2
(mx)^2 + 2mbx + b^2 = r^2 - x^2
0 = m^2 * x^2 + x^2 + 2mbx + b^2 - r^2
0 = (m^2 + 1) * x^2 + 2mbx + b^2 - r^2
现在我有了a b c。
a = m^2 + 1
b = 2mb
c = b^2 - r^2
我把这个代入二次公式
(-b ± sqrt(b^2 - 4ac)) / 2a
用值代入,然后尽可能简化:
(-2mb ± sqrt(b^2 - 4ac)) / 2a
(-2mb ± sqrt((-2mb)^2 - 4(m^2 + 1)(b^2 - r^2))) / 2(m^2 + 1)
(-2mb ± sqrt(4m^2 * b^2 - 4(m^2 * b^2 - m^2 * r^2 + b^2 - r^2))) / 2m^2 + 2
(-2mb ± sqrt(4 * (m^2 * b^2 - (m^2 * b^2 - m^2 * r^2 + b^2 - r^2))))/ 2m^2 + 2
(-2mb ± sqrt(4 * (m^2 * b^2 - m^2 * b^2 + m^2 * r^2 - b^2 + r^2)))/ 2m^2 + 2
(-2mb ± sqrt(4 * (m^2 * r^2 - b^2 + r^2)))/ 2m^2 + 2
(-2mb ± sqrt(4) * sqrt(m^2 * r^2 - b^2 + r^2))/ 2m^2 + 2
(-2mb ± 2 * sqrt(m^2 * r^2 - b^2 + r^2))/ 2m^2 + 2
(-2mb ± 2 * sqrt(m^2 * r^2 + r^2 - b^2))/ 2m^2 + 2
(-2mb ± 2 * sqrt(r^2 * (m^2 + 1) - b^2))/ 2m^2 + 2
这几乎是化简的极限了。最后,分离出带有±的方程:
(-2mb + 2 * sqrt(r^2 * (m^2 + 1) - b^2))/ 2m^2 + 2 or
(-2mb - 2 * sqrt(r^2 * (m^2 + 1) - b^2))/ 2m^2 + 2
然后简单地将这两个方程的结果代入mx + b中的x。为了清晰起见,我写了一些JavaScript代码来演示如何使用这个:
function interceptOnCircle(p1,p2,c,r){
//p1 is the first line point
//p2 is the second line point
//c is the circle's center
//r is the circle's radius
var p3 = {x:p1.x - c.x, y:p1.y - c.y} //shifted line points
var p4 = {x:p2.x - c.x, y:p2.y - c.y}
var m = (p4.y - p3.y) / (p4.x - p3.x); //slope of the line
var b = p3.y - m * p3.x; //y-intercept of line
var underRadical = Math.pow((Math.pow(r,2)*(Math.pow(m,2)+1)),2)-Math.pow(b,2)); //the value under the square root sign
if (underRadical < 0){
//line completely missed
return false;
} else {
var t1 = (-2*m*b+2*Math.sqrt(underRadical))/(2 * Math.pow(m,2) + 2); //one of the intercept x's
var t2 = (-2*m*b-2*Math.sqrt(underRadical))/(2 * Math.pow(m,2) + 2); //other intercept's x
var i1 = {x:t1,y:m*t1+b} //intercept point 1
var i2 = {x:t2,y:m*t2+b} //intercept point 2
return [i1,i2];
}
}
我希望这能有所帮助!
附注:如果任何人发现任何错误或有任何建议,请评论。我是新手,欢迎大家的帮助/建议。