// 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 #include #include #include #include #include // 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 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 class MinimumAreaCircle2 { public: bool operator()(int numPoints, Vector2 const* points, Circle2& minimal) { if (numPoints >= 1 && points) { // Function array to avoid switch statement in the main loop. std::function 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 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(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 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(ctMinimal.center[j]); } minimal.radius = static_cast(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 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 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 diff = mComputePoints[i] - circle.center; return Dot(diff, diff) <= circle.radius; } Circle2 ExactCircle1(int i0) const { Circle2 minimal; minimal.center = mComputePoints[i0]; minimal.radius = (ComputeType)0; return minimal; } Circle2 ExactCircle2(int i0, int i1) const { Vector2 const& P0 = mComputePoints[i0]; Vector2 const& P1 = mComputePoints[i1]; Vector2 diff = P1 - P0; Circle2 minimal; minimal.center = ((ComputeType)0.5)*(P0 + P1); minimal.radius = ((ComputeType)0.25)*Dot(diff, diff); return minimal; } Circle2 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 const& P0 = mComputePoints[i0]; Vector2 const& P1 = mComputePoints[i1]; Vector2 const& P2 = mComputePoints[i2]; Vector2 E0 = P0 - P2; Vector2 E1 = P1 - P2; Matrix2x2 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 B{ half * A(0, 0), half* A(1, 1) }; Circle2 minimal; Vector2 X; if (LinearSystem::Solve(A, B, X)) { ComputeType x2 = (ComputeType)1 - X[0] - X[1]; minimal.center = X[0] * P0 + X[1] * P1 + x2 * P2; Vector2 tmp = X[0] * E0 + X[1] * E1; minimal.radius = Dot(tmp, tmp); } else { minimal.center = Vector2::Zero(); minimal.radius = (ComputeType)std::numeric_limits::max(); } return minimal; } typedef std::pair, bool> UpdateResult; UpdateResult UpdateSupport1(int i) { Circle2 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 circle[numType2 + numType3]; ComputeType minRSqr = (ComputeType)std::numeric_limits::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(), 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 circle[numType2 + numType3]; ComputeType minRSqr = (ComputeType)std::numeric_limits::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(), 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 mSupport; // Random permutation of the unique input points to produce expected // linear time for the algorithm. std::default_random_engine mDRE; std::vector> mComputePoints; }; }