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
基于@Joe Skeen的python解决方案
def check_line_segment_circle_intersection(line, point, radious):
""" Checks whether a point intersects with a line defined by two points.
A `point` is list with two values: [2, 3]
A `line` is list with two points: [point1, point2]
"""
line_distance = distance(line[0], line[1])
distance_start_to_point = distance(line[0], point)
distance_end_to_point = distance(line[1], point)
if (distance_start_to_point <= radious or distance_end_to_point <= radious):
return True
# angle between line and point with law of cosines
numerator = (math.pow(distance_start_to_point, 2)
+ math.pow(line_distance, 2)
- math.pow(distance_end_to_point, 2))
denominator = 2 * distance_start_to_point * line_distance
ratio = numerator / denominator
ratio = ratio if ratio <= 1 else 1 # To account for float errors
ratio = ratio if ratio >= -1 else -1 # To account for float errors
angle = math.acos(ratio)
# distance from the point to the line with sin projection
distance_line_to_point = math.sin(angle) * distance_start_to_point
if distance_line_to_point <= radious:
point_projection_in_line = math.cos(angle) * distance_start_to_point
# Intersection occurs whent the point projection in the line is less
# than the line distance and positive
return point_projection_in_line <= line_distance and point_projection_in_line >= 0
return False
def distance(point1, point2):
return math.sqrt(
math.pow(point1[1] - point2[1], 2) +
math.pow(point1[0] - point2[0], 2)
)
其他回答
另一个在c#(部分圆类)。 经过测试,工作就像一个魅力。
public class Circle : IEquatable<Circle>
{
// ******************************************************************
// The center of a circle
private Point _center;
// The radius of a circle
private double _radius;
// ******************************************************************
/// <summary>
/// Find all intersections (0, 1, 2) of the circle with a line defined by its 2 points.
/// Using: http://math.stackexchange.com/questions/228841/how-do-i-calculate-the-intersections-of-a-straight-line-and-a-circle
/// Note: p is the Center.X and q is Center.Y
/// </summary>
/// <param name="linePoint1"></param>
/// <param name="linePoint2"></param>
/// <returns></returns>
public List<Point> GetIntersections(Point linePoint1, Point linePoint2)
{
List<Point> intersections = new List<Point>();
double dx = linePoint2.X - linePoint1.X;
if (dx.AboutEquals(0)) // Straight vertical line
{
if (linePoint1.X.AboutEquals(Center.X - Radius) || linePoint1.X.AboutEquals(Center.X + Radius))
{
Point pt = new Point(linePoint1.X, Center.Y);
intersections.Add(pt);
}
else if (linePoint1.X > Center.X - Radius && linePoint1.X < Center.X + Radius)
{
double x = linePoint1.X - Center.X;
Point pt = new Point(linePoint1.X, Center.Y + Math.Sqrt(Radius * Radius - (x * x)));
intersections.Add(pt);
pt = new Point(linePoint1.X, Center.Y - Math.Sqrt(Radius * Radius - (x * x)));
intersections.Add(pt);
}
return intersections;
}
// Line function (y = mx + b)
double dy = linePoint2.Y - linePoint1.Y;
double m = dy / dx;
double b = linePoint1.Y - m * linePoint1.X;
double A = m * m + 1;
double B = 2 * (m * b - m * _center.Y - Center.X);
double C = Center.X * Center.X + Center.Y * Center.Y - Radius * Radius - 2 * b * Center.Y + b * b;
double discriminant = B * B - 4 * A * C;
if (discriminant < 0)
{
return intersections; // there is no intersections
}
if (discriminant.AboutEquals(0)) // Tangeante (touch on 1 point only)
{
double x = -B / (2 * A);
double y = m * x + b;
intersections.Add(new Point(x, y));
}
else // Secant (touch on 2 points)
{
double x = (-B + Math.Sqrt(discriminant)) / (2 * A);
double y = m * x + b;
intersections.Add(new Point(x, y));
x = (-B - Math.Sqrt(discriminant)) / (2 * A);
y = m * x + b;
intersections.Add(new Point(x, y));
}
return intersections;
}
// ******************************************************************
// Get the center
[XmlElement("Center")]
public Point Center
{
get { return _center; }
set
{
_center = value;
}
}
// ******************************************************************
// Get the radius
[XmlElement]
public double Radius
{
get { return _radius; }
set { _radius = value; }
}
//// ******************************************************************
//[XmlArrayItemAttribute("DoublePoint")]
//public List<Point> Coordinates
//{
// get { return _coordinates; }
//}
// ******************************************************************
// Construct a circle without any specification
public Circle()
{
_center.X = 0;
_center.Y = 0;
_radius = 0;
}
// ******************************************************************
// Construct a circle without any specification
public Circle(double radius)
{
_center.X = 0;
_center.Y = 0;
_radius = radius;
}
// ******************************************************************
// Construct a circle with the specified circle
public Circle(Circle circle)
{
_center = circle._center;
_radius = circle._radius;
}
// ******************************************************************
// Construct a circle with the specified center and radius
public Circle(Point center, double radius)
{
_center = center;
_radius = radius;
}
// ******************************************************************
// Construct a circle based on one point
public Circle(Point center)
{
_center = center;
_radius = 0;
}
// ******************************************************************
// Construct a circle based on two points
public Circle(Point p1, Point p2)
{
Circle2Points(p1, p2);
}
要求:
using System;
namespace Mathematic
{
public static class DoubleExtension
{
// ******************************************************************
// Base on Hans Passant Answer on:
// http://stackoverflow.com/questions/2411392/double-epsilon-for-equality-greater-than-less-than-less-than-or-equal-to-gre
/// <summary>
/// Compare two double taking in account the double precision potential error.
/// Take care: truncation errors accumulate on calculation. More you do, more you should increase the epsilon.
public static bool AboutEquals(this double value1, double value2)
{
if (double.IsPositiveInfinity(value1))
return double.IsPositiveInfinity(value2);
if (double.IsNegativeInfinity(value1))
return double.IsNegativeInfinity(value2);
if (double.IsNaN(value1))
return double.IsNaN(value2);
double epsilon = Math.Max(Math.Abs(value1), Math.Abs(value2)) * 1E-15;
return Math.Abs(value1 - value2) <= epsilon;
}
// ******************************************************************
// Base on Hans Passant Answer on:
// http://stackoverflow.com/questions/2411392/double-epsilon-for-equality-greater-than-less-than-less-than-or-equal-to-gre
/// <summary>
/// Compare two double taking in account the double precision potential error.
/// Take care: truncation errors accumulate on calculation. More you do, more you should increase the epsilon.
/// You get really better performance when you can determine the contextual epsilon first.
/// </summary>
/// <param name="value1"></param>
/// <param name="value2"></param>
/// <param name="precalculatedContextualEpsilon"></param>
/// <returns></returns>
public static bool AboutEquals(this double value1, double value2, double precalculatedContextualEpsilon)
{
if (double.IsPositiveInfinity(value1))
return double.IsPositiveInfinity(value2);
if (double.IsNegativeInfinity(value1))
return double.IsNegativeInfinity(value2);
if (double.IsNaN(value1))
return double.IsNaN(value2);
return Math.Abs(value1 - value2) <= precalculatedContextualEpsilon;
}
// ******************************************************************
public static double GetContextualEpsilon(this double biggestPossibleContextualValue)
{
return biggestPossibleContextualValue * 1E-15;
}
// ******************************************************************
/// <summary>
/// Mathlab equivalent
/// </summary>
/// <param name="dividend"></param>
/// <param name="divisor"></param>
/// <returns></returns>
public static double Mod(this double dividend, double divisor)
{
return dividend - System.Math.Floor(dividend / divisor) * divisor;
}
// ******************************************************************
}
}
在此post circle中,通过检查圆心与线段上的点(Ipoint)之间的距离来检查线碰撞,该点表示从圆心到线段的法线N(图2)之间的交点。
(https://i.stack.imgur.com/3o6do.png)
在图像1中显示一个圆和一条直线,向量A指向线的起点,向量B指向线的终点,向量C指向圆的中心。现在我们必须找到向量E(从线起点到圆中心)和向量D(从线起点到线终点)这个计算如图1所示。
(https://i.stack.imgur.com/7098a.png)
在图2中,我们可以看到向量E通过向量E与单位向量D的“点积”投影到向量D上,点积的结果是标量Xp,表示向量N与向量D的直线起点与交点(Ipoint)之间的距离。 下一个向量X是由单位向量D和标量Xp相乘得到的。
现在我们需要找到向量Z(向量到Ipoint),它很容易它简单的向量加法向量A(在直线上的起点)和向量x。接下来我们需要处理特殊情况,我们必须检查是Ipoint在线段上,如果不是我们必须找出它是它的左边还是右边,我们将使用向量最接近来确定哪个点最接近圆。
(https://i.stack.imgur.com/p9WIr.png)
当投影Xp为负时,Ipoint在线段的左边,距离最近的向量等于线起点的向量,当投影Xp大于向量D的模时,距离最近的向量在线段的右边,距离最近的向量等于线终点的向量在其他情况下,距离最近的向量等于向量Z。
现在,当我们有最近的向量,我们需要找到从圆中心到Ipoint的向量(dist向量),很简单,我们只需要从中心向量减去最近的向量。接下来,检查向量距离的大小是否小于圆半径,如果是,那么它们就会碰撞,如果不是,就没有碰撞。
(https://i.stack.imgur.com/QJ63q.png)
最后,我们可以返回一些值来解决碰撞,最简单的方法是返回碰撞的重叠(从矢量dist magnitude中减去半径)和碰撞的轴,它的向量d。如果需要,交点是向量Z。
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。
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。
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。