如何分辨圆和矩形在二维欧几里得空间中是否相交?(即经典二维几何)
假设你有矩形的四条边，检查从这些边到圆心的距离，如果小于半径，那么这些形状是相交的。
if sqrt((rectangleRight.x - circleCenter.x)^2 +
(rectangleBottom.y - circleCenter.y)^2) < radius
// then they intersect
if sqrt((rectangleRight.x - circleCenter.x)^2 +
(rectangleTop.y - circleCenter.y)^2) < radius
// then they intersect
if sqrt((rectangleLeft.x - circleCenter.x)^2 +
(rectangleTop.y - circleCenter.y)^2) < radius
// then they intersect
if sqrt((rectangleLeft.x - circleCenter.x)^2 +
(rectangleBottom.y - circleCenter.y)^2) < radius
// then they intersect
为了可视化，拿你的键盘的numpad。如果键“5”代表你的矩形，那么所有的键1-9代表空间的9个象限除以构成矩形的线(5是里面的线)。
1)如果圆的中心在象限5(即在矩形内)，则两个形状相交。
这里有两种可能的情况: a)圆与矩形的两条或多条相邻边相交。 b)圆与矩形的一条边相交。
第一种情况很简单。如果圆与矩形的两条相邻边相交，则它必须包含连接这两条边的角。(或者说它的中心在象限5，我们已经讲过了。还要注意，圆只与矩形的两条相对边相交的情况也被覆盖了。)
2)如果矩形的任意角A、B、C、D在圆内，则这两个形状相交。
第二种情况比较棘手。我们应该注意到，只有当圆的中心位于2、4、6或8象限中的一个象限时，才会发生这种情况。(事实上，如果中心在1、3、7、8象限中的任何一个象限上，则相应的角将是离它最近的点。)
现在我们有了圆的中心在一个“边”象限内的情况，它只与相应的边相交。那么，边缘上最接近圆中心的点必须在圆内。
3)对于每条直线AB, BC, CD, DA，构造经过圆中心p的垂直线p(AB, p)， p(BC, p)， p(CD, p)， p(DA, p)，对于每条垂直线，如果与原边的交点在圆内，则两个图形相交。
最后一步有一个捷径。如果圆的圆心在象限8，边AB是上边，交点的y坐标是A和B, x坐标是P。
你可以构造四条线的交点并检查它们是否在相应的边上，或者找出P在哪个象限并检查相应的交点。两者都应该化简为相同的布尔方程。要注意的是，上面的步骤2并没有排除P位于“角落”象限之一;它只是在寻找一个十字路口。
编辑:事实证明，我忽略了一个简单的事实，即#2是#3的子情况。毕竟，角也是边缘上的点。请看下面@ShreevatsaR的回答，你会得到很好的解释。与此同时，忘记上面的第二条，除非你想要一个快速但冗余的检查。
以下是我的做法:
bool intersects(CircleType circle, RectType rect)
{
circleDistance.x = abs(circle.x - rect.x);
circleDistance.y = abs(circle.y - rect.y);
if (circleDistance.x > (rect.width/2 + circle.r)) { return false; }
if (circleDistance.y > (rect.height/2 + circle.r)) { return false; }
if (circleDistance.x <= (rect.width/2)) { return true; }
if (circleDistance.y <= (rect.height/2)) { return true; }
cornerDistance_sq = (circleDistance.x - rect.width/2)^2 +
(circleDistance.y - rect.height/2)^2;
return (cornerDistance_sq <= (circle.r^2));
}
下面是它的工作原理:
The first pair of lines calculate the absolute values of the x and y difference between the center of the circle and the center of the rectangle. This collapses the four quadrants down into one, so that the calculations do not have to be done four times. The image shows the area in which the center of the circle must now lie. Note that only the single quadrant is shown. The rectangle is the grey area, and the red border outlines the critical area which is exactly one radius away from the edges of the rectangle. The center of the circle has to be within this red border for the intersection to occur. The second pair of lines eliminate the easy cases where the circle is far enough away from the rectangle (in either direction) that no intersection is possible. This corresponds to the green area in the image. The third pair of lines handle the easy cases where the circle is close enough to the rectangle (in either direction) that an intersection is guaranteed. This corresponds to the orange and grey sections in the image. Note that this step must be done after step 2 for the logic to make sense. The remaining lines calculate the difficult case where the circle may intersect the corner of the rectangle. To solve, compute the distance from the center of the circle and the corner, and then verify that the distance is not more than the radius of the circle. This calculation returns false for all circles whose center is within the red shaded area and returns true for all circles whose center is within the white shaded area.
圆与矩形相交只有两种情况:
圆的中心在矩形的内部，或者 矩形的一条边在圆上有一个点。
注意，这并不要求矩形与轴平行。
(一种方法是:如果没有一条边在圆中有点(如果所有的边都完全“在”圆外)，那么圆仍然可以与多边形相交的唯一方法是它完全位于多边形内部。)
有了这样的见解，就可以像下面这样工作，其中圆的中心是P，半径是R，矩形的顶点是A, B, C, D(不完整的代码):
def intersect(Circle(P, R), Rectangle(A, B, C, D)):
S = Circle(P, R)
return (pointInRectangle(P, Rectangle(A, B, C, D)) or
intersectCircle(S, (A, B)) or
intersectCircle(S, (B, C)) or
intersectCircle(S, (C, D)) or
intersectCircle(S, (D, A)))
如果你在写任何几何，你的库中可能已经有了上面的函数。否则，pointInRectangle()可以用几种方式实现;任何一般的多边形点方法都可以工作，但对于矩形，你可以检查这是否有效:
0 ≤ AP·AB ≤ AB·AB and 0 ≤ AP·AD ≤ AD·AD
intersectCircle()也很容易实现:一种方法是检查从P到直线的垂线的脚是否足够近并且在端点之间，否则检查端点。
最酷的是，同样的想法不仅适用于矩形，而且适用于一个圆与任何简单多边形的交点——甚至不必是凸多边形!
球面和矩形相交于IIF 圆心和矩形的一个顶点之间的距离小于球体的半径 或 圆心与矩形的一条边之间的距离小于球面的半径([点线距离]) 或 圆的中心在矩形的内部 一点上距离:
P1 = [x1,y1] P2 = [x2,y2] Distance = sqrt(abs(x1 - x2)+abs(y1-y2))
点线路距离:
L1 = [x1,y1],L2 = [x2,y2] (two points of your line, ie the vertex points) P1 = [px,py] some point Distance d = abs( (x2-x1)(y1-py)-(x1-px)(y2-y1) ) / Distance(L1,L2)
矩形内圆中心: 采用分离轴的方法:如果存在一个投影到一条直线上，将矩形与点分开，它们就不相交
您将点投影在平行于矩形边的直线上，然后可以很容易地确定它们是否相交。如果它们不在所有4个投影上相交，它们(点和矩形)就不能相交。
你只需要内积(x= [x1,x2]，y = [y1,y2]，x *y = x1*y1 + x2*y2)
你的测试应该是这样的:
//rectangle edges: TL (top left), TR (top right), BL (bottom left), BR (bottom right)
//point to test: POI
seperated = false
for egde in { {TL,TR}, {BL,BR}, {TL,BL},{TR-BR} }: // the edges
D = edge[0] - edge[1]
innerProd = D * POI
Interval_min = min(D*edge[0],D*edge[1])
Interval_max = max(D*edge[0],D*edge[1])
if not ( Interval_min ≤ innerProd ≤ Interval_max )
seperated = true
break // end for loop
end if
end for
if (seperated is true)
return "no intersection"
else
return "intersection"
end if
它没有假设一个轴对齐的矩形，并且很容易扩展用于测试凸集之间的交集。
这里有另一个解决方案，实现起来非常简单(也非常快)。它将捕获所有的交点，包括当球体完全进入矩形时。
// clamp(value, min, max) - limits value to the range min..max
// Find the closest point to the circle within the rectangle
float closestX = clamp(circle.X, rectangle.Left, rectangle.Right);
float closestY = clamp(circle.Y, rectangle.Top, rectangle.Bottom);
// Calculate the distance between the circle's center and this closest point
float distanceX = circle.X - closestX;
float distanceY = circle.Y - closestY;
// If the distance is less than the circle's radius, an intersection occurs
float distanceSquared = (distanceX * distanceX) + (distanceY * distanceY);
return distanceSquared < (circle.Radius * circle.Radius);
任何像样的数学库都可以将其缩短为3或4行。
下面是我的C代码，用于解决球体和非轴对齐的盒子之间的碰撞。它依赖于我自己的几个库例程，但它可能对某些人有用。我在游戏中使用了它，效果非常好。
float physicsProcessCollisionBetweenSelfAndActorRect(SPhysics *self, SPhysics *actor)
{
float diff = 99999;
SVector relative_position_of_circle = getDifference2DBetweenVectors(&self->worldPosition, &actor->worldPosition);
rotateVector2DBy(&relative_position_of_circle, -actor->axis.angleZ); // This aligns the coord system so the rect becomes an AABB
float x_clamped_within_rectangle = relative_position_of_circle.x;
float y_clamped_within_rectangle = relative_position_of_circle.y;
LIMIT(x_clamped_within_rectangle, actor->physicsRect.l, actor->physicsRect.r);
LIMIT(y_clamped_within_rectangle, actor->physicsRect.b, actor->physicsRect.t);
// Calculate the distance between the circle's center and this closest point
float distance_to_nearest_edge_x = relative_position_of_circle.x - x_clamped_within_rectangle;
float distance_to_nearest_edge_y = relative_position_of_circle.y - y_clamped_within_rectangle;
// If the distance is less than the circle's radius, an intersection occurs
float distance_sq_x = SQUARE(distance_to_nearest_edge_x);
float distance_sq_y = SQUARE(distance_to_nearest_edge_y);
float radius_sq = SQUARE(self->physicsRadius);
if(distance_sq_x + distance_sq_y < radius_sq)
{
float half_rect_w = (actor->physicsRect.r - actor->physicsRect.l) * 0.5f;
float half_rect_h = (actor->physicsRect.t - actor->physicsRect.b) * 0.5f;
CREATE_VECTOR(push_vector);
// If we're at one of the corners of this object, treat this as a circular/circular collision
if(fabs(relative_position_of_circle.x) > half_rect_w && fabs(relative_position_of_circle.y) > half_rect_h)
{
SVector edges;
if(relative_position_of_circle.x > 0) edges.x = half_rect_w; else edges.x = -half_rect_w;
if(relative_position_of_circle.y > 0) edges.y = half_rect_h; else edges.y = -half_rect_h;
push_vector = relative_position_of_circle;
moveVectorByInverseVector2D(&push_vector, &edges);
// We now have the vector from the corner of the rect to the point.
float delta_length = getVector2DMagnitude(&push_vector);
float diff = self->physicsRadius - delta_length; // Find out how far away we are from our ideal distance
// Normalise the vector
push_vector.x /= delta_length;
push_vector.y /= delta_length;
scaleVector2DBy(&push_vector, diff); // Now multiply it by the difference
push_vector.z = 0;
}
else // Nope - just bouncing against one of the edges
{
if(relative_position_of_circle.x > 0) // Ball is to the right
push_vector.x = (half_rect_w + self->physicsRadius) - relative_position_of_circle.x;
else
push_vector.x = -((half_rect_w + self->physicsRadius) + relative_position_of_circle.x);
if(relative_position_of_circle.y > 0) // Ball is above
push_vector.y = (half_rect_h + self->physicsRadius) - relative_position_of_circle.y;
else
push_vector.y = -((half_rect_h + self->physicsRadius) + relative_position_of_circle.y);
if(fabs(push_vector.x) < fabs(push_vector.y))
push_vector.y = 0;
else
push_vector.x = 0;
}
diff = 0; // Cheat, since we don't do anything with the value anyway
rotateVector2DBy(&push_vector, actor->axis.angleZ);
SVector *from = &self->worldPosition;
moveVectorBy2D(from, push_vector.x, push_vector.y);
}
return diff;
}
下面是修改后的代码100%工作:
public static bool IsIntersected(PointF circle, float radius, RectangleF rectangle)
{
var rectangleCenter = new PointF((rectangle.X + rectangle.Width / 2),
(rectangle.Y + rectangle.Height / 2));
var w = rectangle.Width / 2;
var h = rectangle.Height / 2;
var dx = Math.Abs(circle.X - rectangleCenter.X);
var dy = Math.Abs(circle.Y - rectangleCenter.Y);
if (dx > (radius + w) || dy > (radius + h)) return false;
var circleDistance = new PointF
{
X = Math.Abs(circle.X - rectangle.X - w),
Y = Math.Abs(circle.Y - rectangle.Y - h)
};
if (circleDistance.X <= (w))
{
return true;
}
if (circleDistance.Y <= (h))
{
return true;
}
var cornerDistanceSq = Math.Pow(circleDistance.X - w, 2) +
Math.Pow(circleDistance.Y - h, 2);
return (cornerDistanceSq <= (Math.Pow(radius, 2)));
}
Bassam Alugili
这个函数检测Circle和Rectangle之间的碰撞(交集)。他的回答类似于e.James的方法，但这个方法检测矩形的所有角(不仅仅是右角)的碰撞。
注意:
aRect.origin.x和aRect.origin.y是矩形左下角的坐标!
aCircle。x和圆。y为圆心坐标!
static inline BOOL RectIntersectsCircle(CGRect aRect, Circle aCircle) {
float testX = aCircle.x;
float testY = aCircle.y;
if (testX < aRect.origin.x)
testX = aRect.origin.x;
if (testX > (aRect.origin.x + aRect.size.width))
testX = (aRect.origin.x + aRect.size.width);
if (testY < aRect.origin.y)
testY = aRect.origin.y;
if (testY > (aRect.origin.y + aRect.size.height))
testY = (aRect.origin.y + aRect.size.height);
return ((aCircle.x - testX) * (aCircle.x - testX) + (aCircle.y - testY) * (aCircle.y - testY)) < aCircle.radius * aCircle.radius;
}
我有一个方法可以避免昂贵的毕达哥拉斯，如果没有必要的话。当矩形和圆的包围框不相交时。
对非欧几里得也适用
class Circle {
// create the bounding box of the circle only once
BBox bbox;
public boolean intersect(BBox b) {
// test top intersect
if (lat > b.maxLat) {
if (lon < b.minLon)
return normDist(b.maxLat, b.minLon) <= normedDist;
if (lon > b.maxLon)
return normDist(b.maxLat, b.maxLon) <= normedDist;
return b.maxLat - bbox.minLat > 0;
}
// test bottom intersect
if (lat < b.minLat) {
if (lon < b.minLon)
return normDist(b.minLat, b.minLon) <= normedDist;
if (lon > b.maxLon)
return normDist(b.minLat, b.maxLon) <= normedDist;
return bbox.maxLat - b.minLat > 0;
}
// test middle intersect
if (lon < b.minLon)
return bbox.maxLon - b.minLon > 0;
if (lon > b.maxLon)
return b.maxLon - bbox.minLon > 0;
return true;
}
}
minLat、maxLat可替换为minY、maxY, minLon、maxLon也可替换为minX、maxX normDist方法比全距离计算快一点。例如，在欧几里得空间中没有平方根(或者没有很多其他的haversine): dat =(lat-circleY);dLon = (lon-circleX);赋范= dLat * dLat + dLon * dLon。当然，如果你使用normDist方法你需要创建一个normedDist = dist*dist;对于圆来说
查看我的GraphHopper项目的完整的BBox和Circle代码。
我为处理形状创建了类 希望你喜欢
public class Geomethry {
public static boolean intersectionCircleAndRectangle(int circleX, int circleY, int circleR, int rectangleX, int rectangleY, int rectangleWidth, int rectangleHeight){
boolean result = false;
float rectHalfWidth = rectangleWidth/2.0f;
float rectHalfHeight = rectangleHeight/2.0f;
float rectCenterX = rectangleX + rectHalfWidth;
float rectCenterY = rectangleY + rectHalfHeight;
float deltax = Math.abs(rectCenterX - circleX);
float deltay = Math.abs(rectCenterY - circleY);
float lengthHypotenuseSqure = deltax*deltax + deltay*deltay;
do{
// check that distance between the centerse is more than the distance between the circumcircle of rectangle and circle
if(lengthHypotenuseSqure > ((rectHalfWidth+circleR)*(rectHalfWidth+circleR) + (rectHalfHeight+circleR)*(rectHalfHeight+circleR))){
//System.out.println("distance between the centerse is more than the distance between the circumcircle of rectangle and circle");
break;
}
// check that distance between the centerse is less than the distance between the inscribed circle
float rectMinHalfSide = Math.min(rectHalfWidth, rectHalfHeight);
if(lengthHypotenuseSqure < ((rectMinHalfSide+circleR)*(rectMinHalfSide+circleR))){
//System.out.println("distance between the centerse is less than the distance between the inscribed circle");
result=true;
break;
}
// check that the squares relate to angles
if((deltax > (rectHalfWidth+circleR)*0.9) && (deltay > (rectHalfHeight+circleR)*0.9)){
//System.out.println("squares relate to angles");
result=true;
}
}while(false);
return result;
}
public static boolean intersectionRectangleAndRectangle(int rectangleX, int rectangleY, int rectangleWidth, int rectangleHeight, int rectangleX2, int rectangleY2, int rectangleWidth2, int rectangleHeight2){
boolean result = false;
float rectHalfWidth = rectangleWidth/2.0f;
float rectHalfHeight = rectangleHeight/2.0f;
float rectHalfWidth2 = rectangleWidth2/2.0f;
float rectHalfHeight2 = rectangleHeight2/2.0f;
float deltax = Math.abs((rectangleX + rectHalfWidth) - (rectangleX2 + rectHalfWidth2));
float deltay = Math.abs((rectangleY + rectHalfHeight) - (rectangleY2 + rectHalfHeight2));
float lengthHypotenuseSqure = deltax*deltax + deltay*deltay;
do{
// check that distance between the centerse is more than the distance between the circumcircle
if(lengthHypotenuseSqure > ((rectHalfWidth+rectHalfWidth2)*(rectHalfWidth+rectHalfWidth2) + (rectHalfHeight+rectHalfHeight2)*(rectHalfHeight+rectHalfHeight2))){
//System.out.println("distance between the centerse is more than the distance between the circumcircle");
break;
}
// check that distance between the centerse is less than the distance between the inscribed circle
float rectMinHalfSide = Math.min(rectHalfWidth, rectHalfHeight);
float rectMinHalfSide2 = Math.min(rectHalfWidth2, rectHalfHeight2);
if(lengthHypotenuseSqure < ((rectMinHalfSide+rectMinHalfSide2)*(rectMinHalfSide+rectMinHalfSide2))){
//System.out.println("distance between the centerse is less than the distance between the inscribed circle");
result=true;
break;
}
// check that the squares relate to angles
if((deltax > (rectHalfWidth+rectHalfWidth2)*0.9) && (deltay > (rectHalfHeight+rectHalfHeight2)*0.9)){
//System.out.println("squares relate to angles");
result=true;
}
}while(false);
return result;
}
}
这是最快的解决方案:
public static boolean intersect(Rectangle r, Circle c)
{
float cx = Math.abs(c.x - r.x - r.halfWidth);
float xDist = r.halfWidth + c.radius;
if (cx > xDist)
return false;
float cy = Math.abs(c.y - r.y - r.halfHeight);
float yDist = r.halfHeight + c.radius;
if (cy > yDist)
return false;
if (cx <= r.halfWidth || cy <= r.halfHeight)
return true;
float xCornerDist = cx - r.halfWidth;
float yCornerDist = cy - r.halfHeight;
float xCornerDistSq = xCornerDist * xCornerDist;
float yCornerDistSq = yCornerDist * yCornerDist;
float maxCornerDistSq = c.radius * c.radius;
return xCornerDistSq + yCornerDistSq <= maxCornerDistSq;
}
注意执行顺序，一半的宽度/高度是预先计算好的。此外，平方是“手动”完成的，以节省一些时钟周期。
实际上，这要简单得多。你只需要两样东西。
首先，你需要找出从圆中心到矩形每条直线的四个正交距离。如果任意三个圆的半径大于矩形的半径，那么圆就不会与矩形相交。
其次，你需要找到圆中心和矩形中心之间的距离，那么你的圆不会在矩形内部如果距离大于矩形对角线长度的一半。
好运！
我想出的最简单的解决办法非常直接。
它的工作原理是在矩形中找到离圆最近的点，然后比较距离。
您可以通过一些操作来完成所有这些操作，甚至可以避免使用平方根函数。
public boolean intersects(float cx, float cy, float radius, float left, float top, float right, float bottom)
{
float closestX = (cx < left ? left : (cx > right ? right : cx));
float closestY = (cy < top ? top : (cy > bottom ? bottom : cy));
float dx = closestX - cx;
float dy = closestY - cy;
return ( dx * dx + dy * dy ) <= radius * radius;
}
就是这样!上面的解决方案假设原点在世界的左上方，x轴指向下方。
如果你想要一个解决移动的圆形和矩形之间碰撞的解决方案，这要复杂得多，并且包含在我的另一个答案中。
有效，一周前才发现，现在才开始测试。
double theta = Math.atan2(cir.getX()-sqr.getX()*1.0,
cir.getY()-sqr.getY()*1.0); //radians of the angle
double dBox; //distance from box to edge of box in direction of the circle
if((theta > Math.PI/4 && theta < 3*Math.PI / 4) ||
(theta < -Math.PI/4 && theta > -3*Math.PI / 4)) {
dBox = sqr.getS() / (2*Math.sin(theta));
} else {
dBox = sqr.getS() / (2*Math.cos(theta));
}
boolean touching = (Math.abs(dBox) >=
Math.sqrt(Math.pow(sqr.getX()-cir.getX(), 2) +
Math.pow(sqr.getY()-cir.getY(), 2)));
对于那些需要用SQL在地理坐标中计算圆/矩形碰撞的人， 这是我在oracle 11中实现的e.James建议算法。
在输入中，它需要圆坐标，圆半径km和矩形的两个顶点坐标:
CREATE OR REPLACE FUNCTION "DETECT_CIRC_RECT_COLLISION"
(
circleCenterLat IN NUMBER, -- circle Center Latitude
circleCenterLon IN NUMBER, -- circle Center Longitude
circleRadius IN NUMBER, -- circle Radius in KM
rectSWLat IN NUMBER, -- rectangle South West Latitude
rectSWLon IN NUMBER, -- rectangle South West Longitude
rectNELat IN NUMBER, -- rectangle North Est Latitude
rectNELon IN NUMBER -- rectangle North Est Longitude
)
RETURN NUMBER
AS
-- converts km to degrees (use 69 if miles)
kmToDegreeConst NUMBER := 111.045;
-- Remaining rectangle vertices
rectNWLat NUMBER;
rectNWLon NUMBER;
rectSELat NUMBER;
rectSELon NUMBER;
rectHeight NUMBER;
rectWIdth NUMBER;
circleDistanceLat NUMBER;
circleDistanceLon NUMBER;
cornerDistanceSQ NUMBER;
BEGIN
-- Initialization of remaining rectangle vertices
rectNWLat := rectNELat;
rectNWLon := rectSWLon;
rectSELat := rectSWLat;
rectSELon := rectNELon;
-- Rectangle sides length calculation
rectHeight := calc_distance(rectSWLat, rectSWLon, rectNWLat, rectNWLon);
rectWidth := calc_distance(rectSWLat, rectSWLon, rectSELat, rectSELon);
circleDistanceLat := abs( (circleCenterLat * kmToDegreeConst) - ((rectSWLat * kmToDegreeConst) + (rectHeight/2)) );
circleDistanceLon := abs( (circleCenterLon * kmToDegreeConst) - ((rectSWLon * kmToDegreeConst) + (rectWidth/2)) );
IF circleDistanceLon > ((rectWidth/2) + circleRadius) THEN
RETURN -1; -- -1 => NO Collision ; 0 => Collision Detected
END IF;
IF circleDistanceLat > ((rectHeight/2) + circleRadius) THEN
RETURN -1; -- -1 => NO Collision ; 0 => Collision Detected
END IF;
IF circleDistanceLon <= (rectWidth/2) THEN
RETURN 0; -- -1 => NO Collision ; 0 => Collision Detected
END IF;
IF circleDistanceLat <= (rectHeight/2) THEN
RETURN 0; -- -1 => NO Collision ; 0 => Collision Detected
END IF;
cornerDistanceSQ := POWER(circleDistanceLon - (rectWidth/2), 2) + POWER(circleDistanceLat - (rectHeight/2), 2);
IF cornerDistanceSQ <= POWER(circleRadius, 2) THEN
RETURN 0; -- -1 => NO Collision ; 0 => Collision Detected
ELSE
RETURN -1; -- -1 => NO Collision ; 0 => Collision Detected
END IF;
RETURN -1; -- -1 => NO Collision ; 0 => Collision Detected
END;
这里有一个快速的单行测试:
if (length(max(abs(center - rect_mid) - rect_halves, 0)) <= radius ) {
// They intersect.
}
这是轴对齐的情况，其中rect_二分之一是一个正向量，从矩形的中间指向一个角。length()中的表达式是一个从矩形中心到最近点的增量向量。这适用于任何维度。
首先检查矩形和与圆相切的正方形是否重叠(简单)。如果它们不重叠，就不会碰撞。 检查圆的中心是否在矩形内(简单)。如果它在里面，它们就会碰撞。 计算矩形边到圆中心的最小平方距离(略硬)。如果小于半径的平方，它们就会碰撞，否则不会。
它是有效的，因为:
首先，它用一个便宜的算法检查最常见的场景，当它确定它们没有碰撞时，它就结束了。 然后它用一个廉价的算法检查下一个最常见的场景(不要计算平方根，使用平方值)，当它确定它们碰撞时，它就结束了。 然后它执行更昂贵的算法来检查与矩形边框的碰撞。
def colision(rect, circle):
dx = rect.x - circle.x
dy = rect.y - circle.y
distance = (dy**2 + dx**2)**0.5
angle_to = (rect.angle + math.atan2(dx, dy)/3.1415*180.0) % 360
if((angle_to>135 and angle_to<225) or (angle_to>0 and angle_to<45) or (angle_to>315 and angle_to<360)):
if distance <= circle.rad/2.+((rect.height/2.0)*(1.+0.5*abs(math.sin(angle_to*math.pi/180.)))):
return True
else:
if distance <= circle.rad/2.+((rect.width/2.0)*(1.+0.5*abs(math.cos(angle_to*math.pi/180.)))):
return True
return False
为我工作(只工作时，矩形的角度是180)
function intersects(circle, rect) {
let left = rect.x + rect.width > circle.x - circle.radius;
let right = rect.x < circle.x + circle.radius;
let top = rect.y < circle.y + circle.radius;
let bottom = rect.y + rect.height > circle.y - circle.radius;
return left && right && bottom && top;
}
稍微改进一下e。james的回答:
double dx = abs(circle.x - rect.x) - rect.w / 2,
dy = abs(circle.y - rect.y) - rect.h / 2;
if (dx > circle.r || dy > circle.r) { return false; }
if (dx <= 0 || dy <= 0) { return true; }
return (dx * dx + dy * dy <= circle.r * circle.r);
这就减去了一次，而不是最多减去三次。
我在制作这款游戏时开发了这个算法:https://mshwf.github.io/mates/
如果圆与正方形接触，那么圆的中心线与正方形中心线之间的距离应该等于(直径+边)/2。 让我们有一个名为touching的变量来保存这个距离。问题是:我应该考虑哪条中心线:水平的还是垂直的? 考虑这个框架:
每条中心线给出了不同的距离，只有一条是没有碰撞的正确指示，但利用人类的直觉是理解自然算法如何工作的开始。
They are not touching, which means that the distance between the two centerlines should be greater than touching, which means that the natural algorithm picks the horizontal centerlines (the vertical centerlines says there's a collision!). By noticing multiple circles, you can tell: if the circle intersects with the vertical extension of the square, then we pick the vertical distance (between the horizontal centerlines), and if the circle intersects with the horizontal extension, we pick the horizontal distance:
另一个例子，圆4:它与正方形的水平延伸相交，那么我们考虑水平距离等于接触。
Ok, the tough part is demystified, now we know how the algorithm will work, but how we know with which extension the circle intersects? It's easy actually: we calculate the distance between the most right x and the most left x (of both the circle and the square), and the same for the y-axis, the one with greater value is the axis with the extension that intersects with the circle (if it's greater than diameter+side then the circle is outside the two square extensions, like circle #7). The code looks like:
right = Math.max(square.x+square.side, circle.x+circle.rad);
left = Math.min(square.x, circle.x-circle.rad);
bottom = Math.max(square.y+square.side, circle.y+circle.rad);
top = Math.min(square.y, circle.y-circle.rad);
if (right - left > down - top) {
//compare with horizontal distance
}
else {
//compare with vertical distance
}
/*These equations assume that the reference point of the square is at its top left corner, and the reference point of the circle is at its center*/
预检查一个完全封装矩形的圆是否与矩形发生碰撞。 检查圆内的矩形角。 对于每条边，看看是否有一条线与圆相交。将中心点C投影到直线AB上，得到点d。如果CD的长度小于半径，则发生了碰撞。
projectionScalar=dot(AC,AB)/(mag(AC)*mag(AB));
if(projectionScalar>=0 && projectionScalar<=1) {
D=A+AB*projectionScalar;
CD=D-C;
if(mag(CD)<circle.radius){
// there was a collision
}
}
有一种非常简单的方法来做到这一点，你必须在x和y上夹住一个点，但在正方形内部，当圆心在一个垂直轴上的两个正方形边界点之间时，你需要将这些坐标夹到平行轴上，只是要确保夹住的坐标不超过正方形的限制。 然后只需得到圆心与夹紧坐标之间的距离，并检查距离是否小于圆的半径。
以下是我是如何做到的(前4个点是方坐标，其余是圆点):
bool DoesCircleImpactBox(float x, float y, float x1, float y1, float xc, float yc, float radius){
float ClampedX=0;
float ClampedY=0;
if(xc>=x and xc<=x1){
ClampedX=xc;
}
if(yc>=y and yc<=y1){
ClampedY=yc;
}
radius = radius+1;
if(xc<x) ClampedX=x;
if(xc>x1) ClampedX=x1-1;
if(yc<y) ClampedY=y;
if(yc>y1) ClampedY=y1-1;
float XDif=ClampedX-xc;
XDif=XDif*XDif;
float YDif=ClampedY-yc;
YDif=YDif*YDif;
if(XDif+YDif<=radius*radius) return true;
return false;
}
如果你对一个更图形化的解决方案感兴趣，甚至在(平面上)旋转的矩形..
演示:https://jsfiddle.net/exodus4d/94mxLvqh/2691/
这个想法是:
将场景转换为原点[0,0] 如果矩形不在平面上，则旋转中心应在 (0,0) 将场景旋转回平面 计算交点
const hasIntersection = ({x: cx, y: cy, r: cr}, {x, y, width, height}) => { const distX = Math.abs(cx - x - width / 2); const distY = Math.abs(cy - y - height / 2); if (distX > (width / 2 + cr)) { return false; } if (distY > (height / 2 + cr)) { return false; } if (distX <= (width / 2)) { return true; } if (distY <= (height / 2)) { return true; } const Δx = distX - width / 2; const Δy = distY - height / 2; return Δx * Δx + Δy * Δy <= cr * cr; }; const rect = new DOMRect(50, 20, 100, 50); const circ1 = new DOMPoint(160, 80); circ1.r = 20; const circ2 = new DOMPoint(80, 95); circ2.r = 20; const canvas = document.getElementById('canvas'); const ctx = canvas.getContext('2d'); ctx.strokeRect(rect.x, rect.y, rect.width, rect.height); ctx.beginPath(); ctx.strokeStyle = hasIntersection(circ1, rect) ? 'red' : 'green'; ctx.arc(circ1.x, circ1.y, circ1.r, 0, 2 * Math.PI); ctx.stroke(); ctx.beginPath(); ctx.strokeStyle = hasIntersection(circ2, rect) ? 'red' : 'green'; ctx.arc(circ2.x, circ2.y, circ2.r, 0, 2 * Math.PI); ctx.stroke(); <canvas id="canvas"></canvas>
提示:而不是旋转矩形(4点)。你可以向相反的方向旋转圆(1点)。
我的方法:
从OBB /矩形上/中的圆计算closest_point (最近点将位于边缘/角落或内部) 计算从closest_point到圆心的squared_distance (距离的平方避免了平方根) 返回squared_distance <=圆半径的平方
