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)
当前回答
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;
其他回答
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。
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!
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
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
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;
}