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- // David Eberly, Geometric Tools, Redmond WA 98052
- // Copyright (c) 1998-2020
- // Distributed under the Boost Software License, Version 1.0.
- // https://www.boost.org/LICENSE_1_0.txt
- // https://www.geometrictools.com/License/Boost/LICENSE_1_0.txt
- // Version: 4.0.2019.08.13
- #pragma once
- #include <Mathematics/Logger.h>
- #include <Mathematics/ContCircle2.h>
- #include <Mathematics/Hypersphere.h>
- #include <Mathematics/LinearSystem.h>
- #include <functional>
- #include <random>
- // Compute the minimum area circle containing the input set of points. The
- // algorithm randomly permutes the input points so that the construction
- // occurs in 'expected' O(N) time. All internal minimal circle calculations
- // store the squared radius in the radius member of Circle2. Only at the
- // end is a sqrt computed.
- //
- // The most robust choice for ComputeType is BSRational<T> for exact rational
- // arithmetic. As long as this code is a correct implementation of the theory
- // (which I hope it is), you will obtain the minimum-area circle containing
- // the points.
- //
- // Instead, if you choose ComputeType to be float or double, floating-point
- // rounding errors can cause the UpdateSupport{2,3} functions to fail.
- // The failure is trapped in those functions and a simple bounding circle is
- // computed using GetContainer in file GteContCircle2.h. This circle is
- // generally not the minimum-area circle containing the points. The
- // minimum-area algorithm is terminated immediately. The circle is returned
- // as well as a bool value of 'true' when the circle is minimum area or
- // 'false' when the failure is trapped. When 'false' is returned, you can
- // try another call to the operator()(...) function. The random shuffle
- // that occurs is highly likely to be different from the previous shuffle,
- // and there is a chance that the algorithm can succeed just because of the
- // different ordering of points.
- namespace WwiseGTE
- {
- template <typename InputType, typename ComputeType>
- class MinimumAreaCircle2
- {
- public:
- bool operator()(int numPoints, Vector2<InputType> const* points, Circle2<InputType>& minimal)
- {
- if (numPoints >= 1 && points)
- {
- // Function array to avoid switch statement in the main loop.
- std::function<UpdateResult(int)> update[4];
- update[1] = [this](int i) { return UpdateSupport1(i); };
- update[2] = [this](int i) { return UpdateSupport2(i); };
- update[3] = [this](int i) { return UpdateSupport3(i); };
- // Process only the unique points.
- std::vector<int> permuted(numPoints);
- for (int i = 0; i < numPoints; ++i)
- {
- permuted[i] = i;
- }
- std::sort(permuted.begin(), permuted.end(),
- [points](int i0, int i1) { return points[i0] < points[i1]; });
- auto end = std::unique(permuted.begin(), permuted.end(),
- [points](int i0, int i1) { return points[i0] == points[i1]; });
- permuted.erase(end, permuted.end());
- numPoints = static_cast<int>(permuted.size());
- // Create a random permutation of the points.
- std::shuffle(permuted.begin(), permuted.end(), mDRE);
- // Convert to the compute type, which is a simple copy when
- // ComputeType is the same as InputType.
- mComputePoints.resize(numPoints);
- for (int i = 0; i < numPoints; ++i)
- {
- for (int j = 0; j < 2; ++j)
- {
- mComputePoints[i][j] = points[permuted[i]][j];
- }
- }
- // Start with the first point.
- Circle2<ComputeType> ctMinimal = ExactCircle1(0);
- mNumSupport = 1;
- mSupport[0] = 0;
- // The loop restarts from the beginning of the point list each
- // time the circle needs updating. Linus Källberg (Computer
- // Science at Mälardalen University in Sweden) discovered that
- // performance is better when the remaining points in the
- // array are processed before restarting. The points
- // processed before the point that caused the update are
- // likely to be enclosed by the new circle (or near the circle
- // boundary) because they were enclosed by the previous
- // circle. The chances are better that points after the
- // current one will cause growth of the bounding circle.
- for (int i = 1 % numPoints, n = 0; i != n; i = (i + 1) % numPoints)
- {
- if (!SupportContains(i))
- {
- if (!Contains(i, ctMinimal))
- {
- auto result = update[mNumSupport](i);
- if (result.second == true)
- {
- if (result.first.radius > ctMinimal.radius)
- {
- ctMinimal = result.first;
- n = i;
- }
- }
- else
- {
- // This case can happen when ComputeType is
- // float or double. See the comments at the
- // beginning of this file. ComputeType is not
- // exact and failure occurred. Returning
- // non-minimal circle. TODO: Should we throw
- // an exception?
- GetContainer(numPoints, points, minimal);
- mNumSupport = 0;
- mSupport.fill(0);
- return false;
- }
- }
- }
- }
- for (int j = 0; j < 2; ++j)
- {
- minimal.center[j] = static_cast<InputType>(ctMinimal.center[j]);
- }
- minimal.radius = static_cast<InputType>(ctMinimal.radius);
- minimal.radius = std::sqrt(minimal.radius);
- for (int i = 0; i < mNumSupport; ++i)
- {
- mSupport[i] = permuted[mSupport[i]];
- }
- return true;
- }
- else
- {
- LogError("Input must contain points.");
- }
- }
- // Member access.
- inline int GetNumSupport() const
- {
- return mNumSupport;
- }
- inline std::array<int, 3> const& GetSupport() const
- {
- return mSupport;
- }
- private:
- // Test whether point P is inside circle C using squared distance and
- // squared radius.
- bool Contains(int i, Circle2<ComputeType> const& circle) const
- {
- // NOTE: In this algorithm, circle.radius is the *squared radius*
- // until the function returns at which time a square root is
- // applied.
- Vector2<ComputeType> diff = mComputePoints[i] - circle.center;
- return Dot(diff, diff) <= circle.radius;
- }
- Circle2<ComputeType> ExactCircle1(int i0) const
- {
- Circle2<ComputeType> minimal;
- minimal.center = mComputePoints[i0];
- minimal.radius = (ComputeType)0;
- return minimal;
- }
- Circle2<ComputeType> ExactCircle2(int i0, int i1) const
- {
- Vector2<ComputeType> const& P0 = mComputePoints[i0];
- Vector2<ComputeType> const& P1 = mComputePoints[i1];
- Vector2<ComputeType> diff = P1 - P0;
- Circle2<ComputeType> minimal;
- minimal.center = ((ComputeType)0.5)*(P0 + P1);
- minimal.radius = ((ComputeType)0.25)*Dot(diff, diff);
- return minimal;
- }
- Circle2<ComputeType> ExactCircle3(int i0, int i1, int i2) const
- {
- // Compute the 2D circle containing P0, P1, and P2. The center in
- // barycentric coordinates is C = x0*P0 + x1*P1 + x2*P2, where
- // x0 + x1 + x2 = 1. The center is equidistant from the three
- // points, so |C - P0| = |C - P1| = |C - P2| = R, where R is the
- // radius of the circle. From these conditions,
- // C - P0 = x0*E0 + x1*E1 - E0
- // C - P1 = x0*E0 + x1*E1 - E1
- // C - P2 = x0*E0 + x1*E1
- // where E0 = P0 - P2 and E1 = P1 - P2, which leads to
- // r^2 = |x0*E0 + x1*E1|^2 - 2*Dot(E0, x0*E0 + x1*E1) + |E0|^2
- // r^2 = |x0*E0 + x1*E1|^2 - 2*Dot(E1, x0*E0 + x1*E1) + |E1|^2
- // r^2 = |x0*E0 + x1*E1|^2
- // Subtracting the last equation from the first two and writing
- // the equations as a linear system,
- //
- // +- -++ -+ +- -+
- // | Dot(E0,E0) Dot(E0,E1) || x0 | = 0.5 | Dot(E0,E0) |
- // | Dot(E1,E0) Dot(E1,E1) || x1 | | Dot(E1,E1) |
- // +- -++ -+ +- -+
- //
- // The following code solves this system for x0 and x1 and then
- // evaluates the third equation in r^2 to obtain r.
- Vector2<ComputeType> const& P0 = mComputePoints[i0];
- Vector2<ComputeType> const& P1 = mComputePoints[i1];
- Vector2<ComputeType> const& P2 = mComputePoints[i2];
- Vector2<ComputeType> E0 = P0 - P2;
- Vector2<ComputeType> E1 = P1 - P2;
- Matrix2x2<ComputeType> A;
- A(0, 0) = Dot(E0, E0);
- A(0, 1) = Dot(E0, E1);
- A(1, 0) = A(0, 1);
- A(1, 1) = Dot(E1, E1);
- ComputeType const half = (ComputeType)0.5;
- Vector2<ComputeType> B{ half * A(0, 0), half* A(1, 1) };
- Circle2<ComputeType> minimal;
- Vector2<ComputeType> X;
- if (LinearSystem<ComputeType>::Solve(A, B, X))
- {
- ComputeType x2 = (ComputeType)1 - X[0] - X[1];
- minimal.center = X[0] * P0 + X[1] * P1 + x2 * P2;
- Vector2<ComputeType> tmp = X[0] * E0 + X[1] * E1;
- minimal.radius = Dot(tmp, tmp);
- }
- else
- {
- minimal.center = Vector2<ComputeType>::Zero();
- minimal.radius = (ComputeType)std::numeric_limits<InputType>::max();
- }
- return minimal;
- }
- typedef std::pair<Circle2<ComputeType>, bool> UpdateResult;
- UpdateResult UpdateSupport1(int i)
- {
- Circle2<ComputeType> minimal = ExactCircle2(mSupport[0], i);
- mNumSupport = 2;
- mSupport[1] = i;
- return std::make_pair(minimal, true);
- }
- UpdateResult UpdateSupport2(int i)
- {
- // Permutations of type 2, used for calling ExactCircle2(...).
- int const numType2 = 2;
- int const type2[numType2][2] =
- {
- { 0, /*2*/ 1 },
- { 1, /*2*/ 0 }
- };
- // Permutations of type 3, used for calling ExactCircle3(...).
- int const numType3 = 1; // {0, 1, 2}
- Circle2<ComputeType> circle[numType2 + numType3];
- ComputeType minRSqr = (ComputeType)std::numeric_limits<InputType>::max();
- int iCircle = 0, iMinRSqr = -1;
- int k0, k1;
- // Permutations of type 2.
- for (int j = 0; j < numType2; ++j, ++iCircle)
- {
- k0 = mSupport[type2[j][0]];
- circle[iCircle] = ExactCircle2(k0, i);
- if (circle[iCircle].radius < minRSqr)
- {
- k1 = mSupport[type2[j][1]];
- if (Contains(k1, circle[iCircle]))
- {
- minRSqr = circle[iCircle].radius;
- iMinRSqr = iCircle;
- }
- }
- }
- // Permutations of type 3.
- k0 = mSupport[0];
- k1 = mSupport[1];
- circle[iCircle] = ExactCircle3(k0, k1, i);
- if (circle[iCircle].radius < minRSqr)
- {
- minRSqr = circle[iCircle].radius;
- iMinRSqr = iCircle;
- }
- switch (iMinRSqr)
- {
- case 0:
- mSupport[1] = i;
- break;
- case 1:
- mSupport[0] = i;
- break;
- case 2:
- mNumSupport = 3;
- mSupport[2] = i;
- break;
- case -1:
- // For exact arithmetic, iMinRSqr >= 0, but for floating-point
- // arithmetic, round-off errors can lead to iMinRSqr == -1.
- // When this happens, use a simple bounding circle for the
- // result and terminate the minimum-area algorithm.
- return std::make_pair(Circle2<ComputeType>(), false);
- }
- return std::make_pair(circle[iMinRSqr], true);
- }
- UpdateResult UpdateSupport3(int i)
- {
- // Permutations of type 2, used for calling ExactCircle2(...).
- int const numType2 = 3;
- int const type2[numType2][3] =
- {
- { 0, /*3*/ 1, 2 },
- { 1, /*3*/ 0, 2 },
- { 2, /*3*/ 0, 1 }
- };
- // Permutations of type 2, used for calling ExactCircle3(...).
- int const numType3 = 3;
- int const type3[numType3][3] =
- {
- { 0, 1, /*3*/ 2 },
- { 0, 2, /*3*/ 1 },
- { 1, 2, /*3*/ 0 }
- };
- Circle2<ComputeType> circle[numType2 + numType3];
- ComputeType minRSqr = (ComputeType)std::numeric_limits<InputType>::max();
- int iCircle = 0, iMinRSqr = -1;
- int k0, k1, k2;
- // Permutations of type 2.
- for (int j = 0; j < numType2; ++j, ++iCircle)
- {
- k0 = mSupport[type2[j][0]];
- circle[iCircle] = ExactCircle2(k0, i);
- if (circle[iCircle].radius < minRSqr)
- {
- k1 = mSupport[type2[j][1]];
- k2 = mSupport[type2[j][2]];
- if (Contains(k1, circle[iCircle]) && Contains(k2, circle[iCircle]))
- {
- minRSqr = circle[iCircle].radius;
- iMinRSqr = iCircle;
- }
- }
- }
- // Permutations of type 3.
- for (int j = 0; j < numType3; ++j, ++iCircle)
- {
- k0 = mSupport[type3[j][0]];
- k1 = mSupport[type3[j][1]];
- circle[iCircle] = ExactCircle3(k0, k1, i);
- if (circle[iCircle].radius < minRSqr)
- {
- k2 = mSupport[type3[j][2]];
- if (Contains(k2, circle[iCircle]))
- {
- minRSqr = circle[iCircle].radius;
- iMinRSqr = iCircle;
- }
- }
- }
- switch (iMinRSqr)
- {
- case 0:
- mNumSupport = 2;
- mSupport[1] = i;
- break;
- case 1:
- mNumSupport = 2;
- mSupport[0] = i;
- break;
- case 2:
- mNumSupport = 2;
- mSupport[0] = mSupport[2];
- mSupport[1] = i;
- break;
- case 3:
- mSupport[2] = i;
- break;
- case 4:
- mSupport[1] = i;
- break;
- case 5:
- mSupport[0] = i;
- break;
- case -1:
- // For exact arithmetic, iMinRSqr >= 0, but for floating-point
- // arithmetic, round-off errors can lead to iMinRSqr == -1.
- // When this happens, use a simple bounding circle for the
- // result and terminate the minimum-area algorithm.
- return std::make_pair(Circle2<ComputeType>(), false);
- }
- return std::make_pair(circle[iMinRSqr], true);
- }
- // Indices of points that support the current minimum area circle.
- bool SupportContains(int j) const
- {
- for (int i = 0; i < mNumSupport; ++i)
- {
- if (j == mSupport[i])
- {
- return true;
- }
- }
- return false;
- }
- int mNumSupport;
- std::array<int, 3> mSupport;
- // Random permutation of the unique input points to produce expected
- // linear time for the algorithm.
- std::default_random_engine mDRE;
- std::vector<Vector2<ComputeType>> mComputePoints;
- };
- }
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