有了一个点列表,我如何确定它们是否是顺时针顺序的?
例如:
point[0] = (5,0)
point[1] = (6,4)
point[2] = (4,5)
point[3] = (1,5)
point[4] = (1,0)
会说它是逆时针的(对某些人来说是逆时针的)
有了一个点列表,我如何确定它们是否是顺时针顺序的?
例如:
point[0] = (5,0)
point[1] = (6,4)
point[2] = (4,5)
point[3] = (1,5)
point[4] = (1,0)
会说它是逆时针的(对某些人来说是逆时针的)
当前回答
如果使用Matlab,如果多边形顶点按顺时针顺序排列,函数ispolycw将返回true。
其他回答
我的c# / LINQ解决方案是基于下面@charlesbretana的交叉积建议的。你可以为线圈指定一个参考法线。只要曲线大部分在向上向量所定义的平面内,它就可以工作。
using System.Collections.Generic;
using System.Linq;
using System.Numerics;
namespace SolidworksAddinFramework.Geometry
{
public static class PlanePolygon
{
/// <summary>
/// Assumes that polygon is closed, ie first and last points are the same
/// </summary>
public static bool Orientation
(this IEnumerable<Vector3> polygon, Vector3 up)
{
var sum = polygon
.Buffer(2, 1) // from Interactive Extensions Nuget Pkg
.Where(b => b.Count == 2)
.Aggregate
( Vector3.Zero
, (p, b) => p + Vector3.Cross(b[0], b[1])
/b[0].Length()/b[1].Length());
return Vector3.Dot(up, sum) > 0;
}
}
}
使用单元测试
namespace SolidworksAddinFramework.Spec.Geometry
{
public class PlanePolygonSpec
{
[Fact]
public void OrientationShouldWork()
{
var points = Sequences.LinSpace(0, Math.PI*2, 100)
.Select(t => new Vector3((float) Math.Cos(t), (float) Math.Sin(t), 0))
.ToList();
points.Orientation(Vector3.UnitZ).Should().BeTrue();
points.Reverse();
points.Orientation(Vector3.UnitZ).Should().BeFalse();
}
}
}
如果使用Matlab,如果多边形顶点按顺时针顺序排列,函数ispolycw将返回true。
下面是一个基于@Beta答案的算法的简单c#实现。
让我们假设我们有一个Vector类型,它的X和Y属性为double类型。
public bool IsClockwise(IList<Vector> vertices)
{
double sum = 0.0;
for (int i = 0; i < vertices.Count; i++) {
Vector v1 = vertices[i];
Vector v2 = vertices[(i + 1) % vertices.Count];
sum += (v2.X - v1.X) * (v2.Y + v1.Y);
}
return sum > 0.0;
}
%是执行模运算的模运算符或余数运算符,该运算符(根据维基百科)在一个数除以另一个数后求余数。
根据@MichelRouzic评论的优化版本:
double sum = 0.0;
Vector v1 = vertices[vertices.Count - 1]; // or vertices[^1] with
// C# 8.0+ and .NET Core
for (int i = 0; i < vertices.Count; i++) {
Vector v2 = vertices[i];
sum += (v2.X - v1.X) * (v2.Y + v1.Y);
v1 = v2;
}
return sum > 0.0;
这不仅节省了模运算%,还节省了数组索引。
测试(参见与@WDUK的讨论)
public static bool IsClockwise(IList<(double X, double Y)> vertices)
{
double sum = 0.0;
var v1 = vertices[^1];
for (int i = 0; i < vertices.Count; i++) {
var v2 = vertices[i];
sum += (v2.X - v1.X) * (v2.Y + v1.Y);
Console.WriteLine($"(({v2.X,2}) - ({v1.X,2})) * (({v2.Y,2}) + ({v1.Y,2})) = {(v2.X - v1.X) * (v2.Y + v1.Y)}");
v1 = v2;
}
Console.WriteLine(sum);
return sum > 0.0;
}
public static void Test()
{
Console.WriteLine(IsClockwise(new[] { (-5.0, -5.0), (-5.0, 5.0), (5.0, 5.0), (5.0, -5.0) }));
// infinity Symbol
//Console.WriteLine(IsClockwise(new[] { (-5.0, -5.0), (-5.0, 5.0), (5.0, -5.0), (5.0, 5.0) }));
}
c#代码实现lhf的答案:
// https://en.wikipedia.org/wiki/Curve_orientation#Orientation_of_a_simple_polygon
public static WindingOrder DetermineWindingOrder(IList<Vector2> vertices)
{
int nVerts = vertices.Count;
// If vertices duplicates first as last to represent closed polygon,
// skip last.
Vector2 lastV = vertices[nVerts - 1];
if (lastV.Equals(vertices[0]))
nVerts -= 1;
int iMinVertex = FindCornerVertex(vertices);
// Orientation matrix:
// [ 1 xa ya ]
// O = | 1 xb yb |
// [ 1 xc yc ]
Vector2 a = vertices[WrapAt(iMinVertex - 1, nVerts)];
Vector2 b = vertices[iMinVertex];
Vector2 c = vertices[WrapAt(iMinVertex + 1, nVerts)];
// determinant(O) = (xb*yc + xa*yb + ya*xc) - (ya*xb + yb*xc + xa*yc)
double detOrient = (b.X * c.Y + a.X * b.Y + a.Y * c.X) - (a.Y * b.X + b.Y * c.X + a.X * c.Y);
// TBD: check for "==0", in which case is not defined?
// Can that happen? Do we need to check other vertices / eliminate duplicate vertices?
WindingOrder result = detOrient > 0
? WindingOrder.Clockwise
: WindingOrder.CounterClockwise;
return result;
}
public enum WindingOrder
{
Clockwise,
CounterClockwise
}
// Find vertex along one edge of bounding box.
// In this case, we find smallest y; in case of tie also smallest x.
private static int FindCornerVertex(IList<Vector2> vertices)
{
int iMinVertex = -1;
float minY = float.MaxValue;
float minXAtMinY = float.MaxValue;
for (int i = 0; i < vertices.Count; i++)
{
Vector2 vert = vertices[i];
float y = vert.Y;
if (y > minY)
continue;
if (y == minY)
if (vert.X >= minXAtMinY)
continue;
// Minimum so far.
iMinVertex = i;
minY = y;
minXAtMinY = vert.X;
}
return iMinVertex;
}
// Return value in (0..n-1).
// Works for i in (-n..+infinity).
// If need to allow more negative values, need more complex formula.
private static int WrapAt(int i, int n)
{
// "+n": Moves (-n..) up to (0..).
return (i + n) % n;
}
正如这篇维基百科文章中所解释的曲线方向,给定平面上的3个点p, q和r(即x和y坐标),您可以计算以下行列式的符号
如果行列式为负(即定向(p, q, r) < 0),则多边形是顺时针方向(CW)。如果行列式为正(即定向(p, q, r) > 0),则多边形是逆时针方向(CCW)。如果点p, q和r共线,行列式为零(即定向(p, q, r) == 0)。
在上面的公式中,由于我们使用的是齐次坐标,我们将1放在p, q和r的坐标前面。