I would like an a开发者_开发百科lgorithm to calculate the convex hull of 4 2D points. I have looked at the algorithms for the generalized problem, but I wonder if there is a simple solution for 4 points.
Take three of the points, and determine whether their triangle is clockwise or counterclockwise::
triangle_ABC= (A.y-B.y)*C.x + (B.x-A.x)*C.y + (A.x*B.y-B.x*A.y)
For a right-handed coordinate system, this value will be positive if ABC is counterclockwise, negative for clockwise, and zero if they are collinear. But, the following will work just as well for a left-handed coordinate system, as the orientation is relative.
Compute comparable values for three triangles containing the fourth point:
triangle_ABD= (A.y-B.y)*D.x + (B.x-A.x)*D.y + (A.x*B.y-B.x*A.y)
triangle_BCD= (B.y-C.y)*D.x + (C.x-B.x)*D.y + (B.x*C.y-C.x*B.y)
triangle_CAD= (C.y-A.y)*D.x + (A.x-C.x)*D.y + (C.x*A.y-A.x*C.y)
If all three of {ABD,BCD,CAD} have the same sign as ABC, then D is inside ABC, and the hull is triangle ABC.
If two of {ABD,BCD,CAD} have the same sign as ABC, and one has the opposite sign, then all four points are extremal, and the hull is quadrilateral ABCD.
If one of {ABD,BCD,CAD} has the same sign as ABC, and two have the opposite sign, then the convex hull is the triangle with the same sign; the remaining point is inside it.
If any of the triangle values are zero, the three points are collinear and the middle point is not extremal. If all four points are collinear, all four values should be zero, and the hull will be either a line or a point. Beware of numerical robustness problems in these cases!
For those cases where ABC is positive:
ABC ABD BCD CAD hull
------------------------
+ + + + ABC
+ + + - ABCD
+ + - + ABDC
+ + - - ABD
+ - + + ADBC
+ - + - BCD
+ - - + CAD
+ - - - [should not happen]
Here's a more ad-hoc algorithm specific to 4 points:
- Find the indices of the points with minimum-X, maximum-X, minimum-Y and maximum-Y and get the unique values from this. For example, the indices may be 0,2,1,2 and the unique values will be 0,2,1.
- If there are 4 unique values, then the convex hull is made up of all the 4 points.
- If there are 3 unique values, then these 3 points are definitely in the convex hull. Check if the 4th point lies within this triangle; if not, it is also part of the convex hull.
- If there are 2 unique values, then these 2 points are on the hull. Of the other 2 points, the point that is further away from this line joining these 2 points is definitely on the hull. Do a triangle containment test to check if the other point is also in the hull.
- If there is 1 unique value, then all the 4 points are co-incident.
Some computation is required if there are 4 points to order them correctly so as to avoid getting a bow-tie shape. Hmmm.... Looks like there are enough special cases to justify using a generalized algorithm. However, you could possibly tune this to run faster than a generalized algorithm.
Or just use Jarvis march.
I did a proof of concept fiddle based on a crude version of the gift wrapping algorithm.
Not efficient in the general case, but enough for only 4 points.
function Point (x, y)
{
this.x = x;
this.y = y;
}
Point.prototype.equals = function (p)
{
return this.x == p.x && this.y == p.y;
};
Point.prototype.distance = function (p)
{
return Math.sqrt (Math.pow (this.x-p.x, 2)
+ Math.pow (this.y-p.y, 2));
};
function convex_hull (points)
{
function left_oriented (p1, p2, candidate)
{
var det = (p2.x - p1.x) * (candidate.y - p1.y)
- (candidate.x - p1.x) * (p2.y - p1.y);
if (det > 0) return true; // left-oriented
if (det < 0) return false; // right oriented
// select the farthest point in case of colinearity
return p1.distance (candidate) > p1.distance (p2);
}
var N = points.length;
var hull = [];
// get leftmost point
var min = 0;
for (var i = 1; i != N; i++)
{
if (points[i].y < points[min].y) min = i;
}
hull_point = points[min];
// walk the hull
do
{
hull.push(hull_point);
var end_point = points[0];
for (var i = 1; i != N; i++)
{
if ( hull_point.equals (end_point)
|| left_oriented (hull_point,
end_point,
points[i]))
{
end_point = points[i];
}
}
hull_point = end_point;
}
/*
* must compare coordinates values (and not simply objects)
* for the case of 4 co-incident points
*/
while (!end_point.equals (hull[0]));
return hull;
}
It was fun :)
I have written a fast implementation of comingstorm's answer using a lookup table. The case that all four points are colinear is not treated since my application does not need it. If the points are colinear the algorithm sets the first pointer point[0] to null. The hull contains of 3 points if point[3] is the null pointer, else the hull has 4 points. The hull is in counter-clockwise order for a coordinate system where the y-axis points to the top and the x-axis to the right.
const char hull4_table[] = {
1,2,3,0,1,2,3,0,1,2,4,3,1,2,3,0,1,2,3,0,1,2,4,0,1,2,3,4,1,2,4,0,1,2,4,0,
1,2,3,0,1,2,3,0,1,4,3,0,1,2,3,0,0,0,0,0,0,0,0,0,2,3,4,0,0,0,0,0,0,0,0,0,
1,4,2,3,1,4,3,0,1,4,3,0,2,3,4,0,0,0,0,0,0,0,0,0,2,3,4,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,2,4,3,0,0,0,0,0,0,0,0,0,1,2,4,0,1,3,4,0,1,2,4,0,1,2,4,0,
0,0,0,0,0,0,0,0,1,4,3,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,4,0,0,0,0,0,0,0,0,0,
1,4,2,0,1,4,2,0,1,4,3,0,1,4,2,0,0,0,0,0,0,0,0,0,2,3,4,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,2,4,3,0,0,0,0,0,0,0,0,0,2,4,3,0,1,3,4,0,1,3,4,0,1,3,2,4,
0,0,0,0,0,0,0,0,2,4,3,0,0,0,0,0,0,0,0,0,1,3,2,0,1,3,4,0,1,3,2,0,1,3,2,0,
1,4,2,0,1,4,2,0,1,4,3,2,1,4,2,0,1,3,2,0,1,3,2,0,1,3,4,2,1,3,2,0,1,3,2,0
};
struct Vec2i {
int x, y;
};
typedef long long int64;
inline int sign(int64 x) {
return (x > 0) - (x < 0);
}
inline int64 orientation(const Vec2i& a, const Vec2i& b, const Vec2i& c) {
return (int64)(b.x - a.x) * (c.y - b.y) - (b.y - a.y) * (c.x - b.x);
}
void convex_hull4(const Vec2i** points) {
const Vec2i* p[5] = {(Vec2i*)0, points[0], points[1], points[2], points[3]};
char abc = (char)1 - sign(orientation(*points[0], *points[1], *points[2]));
char abd = (char)1 - sign(orientation(*points[0], *points[1], *points[3]));
char cad = (char)1 - sign(orientation(*points[2], *points[0], *points[3]));
char bcd = (char)1 - sign(orientation(*points[1], *points[2], *points[3]));
const char* t = hull4_table + (int)4 * (bcd + 3*cad + 9*abd + 27*abc);
points[0] = p[t[0]];
points[1] = p[t[1]];
points[2] = p[t[2]];
points[3] = p[t[3]];
}
Based on @comingstorm answer I created Swift solution:
func convexHull4(a: Pt, b: Pt, c: Pt, d: Pt) -> [LineSegment]? {
let abc = (a.y-b.y)*c.x + (b.x-a.x)*c.y + (a.x*b.y-b.x*a.y)
let abd = (a.y-b.y)*d.x + (b.x-a.x)*d.y + (a.x*b.y-b.x*a.y)
let bcd = (b.y-c.y)*d.x + (c.x-b.x)*d.y + (b.x*c.y-c.x*b.y)
let cad = (c.y-a.y)*d.x + (a.x-c.x)*d.y + (c.x*a.y-a.x*c.y)
if (abc > 0 && abd > 0 && bcd > 0 && cad > 0) ||
(abc < 0 && abd < 0 && bcd < 0 && cad < 0) {
//abc
return [
LineSegment(p1: a, p2: b),
LineSegment(p1: b, p2: c),
LineSegment(p1: c, p2: a)
]
} else if (abc > 0 && abd > 0 && bcd > 0 && cad < 0) ||
(abc < 0 && abd < 0 && bcd < 0 && cad > 0) {
//abcd
return [
LineSegment(p1: a, p2: b),
LineSegment(p1: b, p2: c),
LineSegment(p1: c, p2: d),
LineSegment(p1: d, p2: a)
]
} else if (abc > 0 && abd > 0 && bcd < 0 && cad > 0) ||
(abc < 0 && abd < 0 && bcd > 0 && cad < 0) {
//abdc
return [
LineSegment(p1: a, p2: b),
LineSegment(p1: b, p2: d),
LineSegment(p1: d, p2: c),
LineSegment(p1: c, p2: a)
]
} else if (abc > 0 && abd < 0 && bcd > 0 && cad > 0) ||
(abc < 0 && abd > 0 && bcd < 0 && cad < 0) {
//acbd
return [
LineSegment(p1: a, p2: c),
LineSegment(p1: c, p2: b),
LineSegment(p1: b, p2: d),
LineSegment(p1: d, p2: a)
]
} else if (abc > 0 && abd > 0 && bcd < 0 && cad < 0) ||
(abc < 0 && abd < 0 && bcd > 0 && cad > 0) {
//abd
return [
LineSegment(p1: a, p2: b),
LineSegment(p1: b, p2: d),
LineSegment(p1: d, p2: a)
]
} else if (abc > 0 && abd < 0 && bcd > 0 && cad < 0) ||
(abc < 0 && abd > 0 && bcd < 0 && cad > 0) {
//bcd
return [
LineSegment(p1: b, p2: c),
LineSegment(p1: c, p2: d),
LineSegment(p1: d, p2: b)
]
} else if (abc > 0 && abd < 0 && bcd < 0 && cad > 0) ||
(abc < 0 && abd > 0 && bcd > 0 && cad < 0) {
//cad
return [
LineSegment(p1: c, p2: a),
LineSegment(p1: a, p2: d),
LineSegment(p1: d, p2: c)
]
}
return nil
}
Based on comingstorm's solution I've created a C# solution which handles degenerate cases (e.g. 4 points form line or point).
https://gist.github.com/miyu/6e32e993d93d932c419f1f46020e23f0
public static IntVector2[] ConvexHull3(IntVector2 a, IntVector2 b, IntVector2 c) {
var abc = Clockness(a, b, c);
if (abc == Clk.Neither) {
var (s, t) = FindCollinearBounds(a, b, c);
return s == t ? new[] { s } : new[] { s, t };
}
if (abc == Clk.Clockwise) {
return new[] { c, b, a };
}
return new[] { a, b, c };
}
public static (IntVector2, IntVector2) FindCollinearBounds(IntVector2 a, IntVector2 b, IntVector2 c) {
var ab = a.To(b).SquaredNorm2();
var ac = a.To(c).SquaredNorm2();
var bc = b.To(c).SquaredNorm2();
if (ab > ac) {
return ab > bc ? (a, b) : (b, c);
} else {
return ac > bc ? (a, c) : (b, c);
}
}
// See https://stackoverflow.com/questions/2122305/convex-hull-of-4-points
public static IntVector2[] ConvexHull4(IntVector2 a, IntVector2 b, IntVector2 c, IntVector2 d) {
var abc = Clockness(a, b, c);
if (abc == Clk.Neither) {
var (s, t) = FindCollinearBounds(a, b, c);
return ConvexHull3(s, t, d);
}
// make abc ccw
if (abc == Clk.Clockwise) (a, c) = (c, a);
var abd = Clockness(a, b, d);
var bcd = Clockness(b, c, d);
var cad = Clockness(c, a, d);
if (abd == Clk.Neither) {
var (s, t) = FindCollinearBounds(a, b, d);
return ConvexHull3(s, t, c);
}
if (bcd == Clk.Neither) {
var (s, t) = FindCollinearBounds(b, c, d);
return ConvexHull3(s, t, a);
}
if (cad == Clk.Neither) {
var (s, t) = FindCollinearBounds(c, a, d);
return ConvexHull3(s, t, b);
}
if (abd == Clk.CounterClockwise) {
if (bcd == Clk.CounterClockwise && cad == Clk.CounterClockwise) return new[] { a, b, c };
if (bcd == Clk.CounterClockwise && cad == Clk.Clockwise) return new[] { a, b, c, d };
if (bcd == Clk.Clockwise && cad == Clk.CounterClockwise) return new[] { a, b, d, c };
if (bcd == Clk.Clockwise && cad == Clk.Clockwise) return new[] { a, b, d };
throw new InvalidStateException();
} else {
if (bcd == Clk.CounterClockwise && cad == Clk.CounterClockwise) return new[] { a, d, b, c };
if (bcd == Clk.CounterClockwise && cad == Clk.Clockwise) return new[] { d, b, c };
if (bcd == Clk.Clockwise && cad == Clk.CounterClockwise) return new[] { a, d, c };
// 4th state impossible
throw new InvalidStateException();
}
}
You'll need to implement this boilerplate for your vector type:
// relative to screen coordinates, so top left origin, x+ right, y+ down.
// clockwise goes from origin to x+ to x+/y+ to y+ to origin, like clockwise if
// you were to stare at a clock on your screen
//
// That is, if you draw an angle between 3 points on your screen, the clockness of that
// direction is the clockness this would return.
public enum Clockness {
Clockwise = -1,
Neither = 0,
CounterClockwise = 1
}
public static Clockness Clockness(IntVector2 a, IntVector2 b, IntVector2 c) => Clockness(b - a, b - c);
public static Clockness Clockness(IntVector2 ba, IntVector2 bc) => Clockness(ba.X, ba.Y, bc.X, bc.Y);
public static Clockness Clockness(cInt ax, cInt ay, cInt bx, cInt by, cInt cx, cInt cy) => Clockness(bx - ax, by - ay, bx - cx, by - cy);
public static Clockness Clockness(cInt bax, cInt bay, cInt bcx, cInt bcy) => (Clockness)Math.Sign(Cross(bax, bay, bcx, bcy));
here is a complete analysis for the problem and efficient ruby code (minimizes the number of compares)
# positions for d:
#
# abc > 0 abc < 0
# (+-+- doesn't exist) (-+-+ doesn't exist)
#
#
# | / ---+ \ --++ | -+++
# | / bdc \ acbd | acd
# | +-++ / \ |
# | abd / ---------A--------B---------
# | / \ --+- |
# | / \ acb |
# | / \ |
# | / \ |
# |/ ---- \ | -++-
# C adcb \ | acdb
# /| \ |
# / | \|
# ++++ / | C
# abcd / | |\
# / | +--+ | \
# / | abdc | \
# / ++-+ | | \
# / abc | | \
# ---------A--------B--------- | \
# +++- / | | \
# bcd / ++-- | +--- | -+-- \
# / adbc | adc | adb \
#
# or as table
#
# ++++ abcd -+++ acd
# +++- bcd -++- acdb
# ++-+ abc -+-+ XXXX
# ++-- adbc -+-- adb
# +-++ abd --++ acbd
# +-+- XXXX --+- acb
# +--+ abdc ---+ bdc
# +--- adc ---- adcb
#
# if there are some collinear points, the hull will be nil (for the moment)
#
def point_point_point_orientation(p, q, r)
(q.x - p.x) * (r.y - q.y) - (q.y - p.y) * (r.x - q.x)
end
def convex_hull_4_points(a, b, c, d)
abc = point_point_point_orientation(a, b, c)
if abc.zero?
# todo
return nil
end
bcd = point_point_point_orientation(b, c, d)
if bcd.zero?
# todo
return nil
end
cda = point_point_point_orientation(c, d, a)
if cda.zero?
# todo
return nil
end
dab = point_point_point_orientation(d, a, b)
if dab.zero?
# todo
return nil
end
if abc.positive?
if bcd.positive?
if cda.positive?
if dab.positive?
[a, b, c, d] # ++++
else
[b, c, d] # +++-
end
else
if dab.positive?
[a, b, c] # ++-+
else
[a, d, b, c] # ++--
end
end
else
if cda.positive?
if dab.positive?
[a, b, d] # +-++
else
raise # +-+-
end
else
if dab.positive?
[a, b, d, c] # +--+
else
[a, d, c] # +---
end
end
end
else
if bcd.positive?
if cda.positive?
if dab.positive?
[a, c, d] # -+++
else
[a, c, d, b] # -++-
end
else
if dab.positive?
raise # -+-+
else
[a, d, b] # -+--
end
end
else
if cda.positive?
if dab.positive?
[a, c, b, d] # --++
else
[a, c, b] # --+-
end
else
if dab.positive?
[b, d, c] # ---+
else
[a, d, c, b] # ----
end
end
end
end
end
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