// This file is part of Eigen, a lightweight C++ template library // for linear algebra. Eigen itself is part of the KDE project. // // Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr> // Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com> // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #include "main.h" #include <Eigen/Geometry> #include <Eigen/LU> #include <Eigen/QR> template<typename HyperplaneType> void hyperplane(const HyperplaneType& _plane) { /* this test covers the following files: Hyperplane.h */ const int dim = _plane.dim(); typedef typename HyperplaneType::Scalar Scalar; typedef typename NumTraits<Scalar>::Real RealScalar; typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime, 1> VectorType; typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime, HyperplaneType::AmbientDimAtCompileTime> MatrixType; VectorType p0 = VectorType::Random(dim); VectorType p1 = VectorType::Random(dim); VectorType n0 = VectorType::Random(dim).normalized(); VectorType n1 = VectorType::Random(dim).normalized(); HyperplaneType pl0(n0, p0); HyperplaneType pl1(n1, p1); HyperplaneType pl2 = pl1; Scalar s0 = ei_random<Scalar>(); Scalar s1 = ei_random<Scalar>(); VERIFY_IS_APPROX( n1.eigen2_dot(n1), Scalar(1) ); VERIFY_IS_MUCH_SMALLER_THAN( pl0.absDistance(p0), Scalar(1) ); VERIFY_IS_APPROX( pl1.signedDistance(p1 + n1 * s0), s0 ); VERIFY_IS_MUCH_SMALLER_THAN( pl1.signedDistance(pl1.projection(p0)), Scalar(1) ); VERIFY_IS_MUCH_SMALLER_THAN( pl1.absDistance(p1 + pl1.normal().unitOrthogonal() * s1), Scalar(1) ); // transform if (!NumTraits<Scalar>::IsComplex) { MatrixType rot = MatrixType::Random(dim,dim).qr().matrixQ(); Scaling<Scalar,HyperplaneType::AmbientDimAtCompileTime> scaling(VectorType::Random()); Translation<Scalar,HyperplaneType::AmbientDimAtCompileTime> translation(VectorType::Random()); pl2 = pl1; VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot).absDistance(rot * p1), Scalar(1) ); pl2 = pl1; VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot,Isometry).absDistance(rot * p1), Scalar(1) ); pl2 = pl1; VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling).absDistance((rot*scaling) * p1), Scalar(1) ); pl2 = pl1; VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling*translation) .absDistance((rot*scaling*translation) * p1), Scalar(1) ); pl2 = pl1; VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*translation,Isometry) .absDistance((rot*translation) * p1), Scalar(1) ); } // casting const int Dim = HyperplaneType::AmbientDimAtCompileTime; typedef typename GetDifferentType<Scalar>::type OtherScalar; Hyperplane<OtherScalar,Dim> hp1f = pl1.template cast<OtherScalar>(); VERIFY_IS_APPROX(hp1f.template cast<Scalar>(),pl1); Hyperplane<Scalar,Dim> hp1d = pl1.template cast<Scalar>(); VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),pl1); } template<typename Scalar> void lines() { typedef Hyperplane<Scalar, 2> HLine; typedef ParametrizedLine<Scalar, 2> PLine; typedef Matrix<Scalar,2,1> Vector; typedef Matrix<Scalar,3,1> CoeffsType; for(int i = 0; i < 10; i++) { Vector center = Vector::Random(); Vector u = Vector::Random(); Vector v = Vector::Random(); Scalar a = ei_random<Scalar>(); while (ei_abs(a-1) < 1e-4) a = ei_random<Scalar>(); while (u.norm() < 1e-4) u = Vector::Random(); while (v.norm() < 1e-4) v = Vector::Random(); HLine line_u = HLine::Through(center + u, center + a*u); HLine line_v = HLine::Through(center + v, center + a*v); // the line equations should be normalized so that a^2+b^2=1 VERIFY_IS_APPROX(line_u.normal().norm(), Scalar(1)); VERIFY_IS_APPROX(line_v.normal().norm(), Scalar(1)); Vector result = line_u.intersection(line_v); // the lines should intersect at the point we called "center" VERIFY_IS_APPROX(result, center); // check conversions between two types of lines PLine pl(line_u); // gcc 3.3 will commit suicide if we don't name this variable CoeffsType converted_coeffs(HLine(pl).coeffs()); converted_coeffs *= line_u.coeffs()(0)/converted_coeffs(0); VERIFY(line_u.coeffs().isApprox(converted_coeffs)); } } void test_eigen2_hyperplane() { for(int i = 0; i < g_repeat; i++) { CALL_SUBTEST_1( hyperplane(Hyperplane<float,2>()) ); CALL_SUBTEST_2( hyperplane(Hyperplane<float,3>()) ); CALL_SUBTEST_3( hyperplane(Hyperplane<double,4>()) ); CALL_SUBTEST_4( hyperplane(Hyperplane<std::complex<double>,5>()) ); CALL_SUBTEST_5( lines<float>() ); CALL_SUBTEST_6( lines<double>() ); } }