cart-elc

Source code for CART-ELC
git clone git://git.laack.co/cart-elc.git
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geo_hyperplane.cpp (7304B)


      1 // This file is part of Eigen, a lightweight C++ template library
      2 // for linear algebra.
      3 //
      4 // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
      5 // Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
      6 //
      7 // This Source Code Form is subject to the terms of the Mozilla
      8 // Public License v. 2.0. If a copy of the MPL was not distributed
      9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
     10 
     11 #include "main.h"
     12 #include <Eigen/Geometry>
     13 #include <Eigen/LU>
     14 #include <Eigen/QR>
     15 
     16 template<typename HyperplaneType> void hyperplane(const HyperplaneType& _plane)
     17 {
     18   /* this test covers the following files:
     19      Hyperplane.h
     20   */
     21   using std::abs;
     22   const Index dim = _plane.dim();
     23   enum { Options = HyperplaneType::Options };
     24   typedef typename HyperplaneType::Scalar Scalar;
     25   typedef typename HyperplaneType::RealScalar RealScalar;
     26   typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime, 1> VectorType;
     27   typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime,
     28                          HyperplaneType::AmbientDimAtCompileTime> MatrixType;
     29 
     30   VectorType p0 = VectorType::Random(dim);
     31   VectorType p1 = VectorType::Random(dim);
     32 
     33   VectorType n0 = VectorType::Random(dim).normalized();
     34   VectorType n1 = VectorType::Random(dim).normalized();
     35 
     36   HyperplaneType pl0(n0, p0);
     37   HyperplaneType pl1(n1, p1);
     38   HyperplaneType pl2 = pl1;
     39 
     40   Scalar s0 = internal::random<Scalar>();
     41   Scalar s1 = internal::random<Scalar>();
     42 
     43   VERIFY_IS_APPROX( n1.dot(n1), Scalar(1) );
     44 
     45   VERIFY_IS_MUCH_SMALLER_THAN( pl0.absDistance(p0), Scalar(1) );
     46   if(numext::abs2(s0)>RealScalar(1e-6))
     47     VERIFY_IS_APPROX( pl1.signedDistance(p1 + n1 * s0), s0);
     48   else
     49     VERIFY_IS_MUCH_SMALLER_THAN( abs(pl1.signedDistance(p1 + n1 * s0) - s0), Scalar(1) );
     50   VERIFY_IS_MUCH_SMALLER_THAN( pl1.signedDistance(pl1.projection(p0)), Scalar(1) );
     51   VERIFY_IS_MUCH_SMALLER_THAN( pl1.absDistance(p1 +  pl1.normal().unitOrthogonal() * s1), Scalar(1) );
     52 
     53   // transform
     54   if (!NumTraits<Scalar>::IsComplex)
     55   {
     56     MatrixType rot = MatrixType::Random(dim,dim).householderQr().householderQ();
     57     DiagonalMatrix<Scalar,HyperplaneType::AmbientDimAtCompileTime> scaling(VectorType::Random());
     58     Translation<Scalar,HyperplaneType::AmbientDimAtCompileTime> translation(VectorType::Random());
     59     
     60     while(scaling.diagonal().cwiseAbs().minCoeff()<RealScalar(1e-4)) scaling.diagonal() = VectorType::Random();
     61 
     62     pl2 = pl1;
     63     VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot).absDistance(rot * p1), Scalar(1) );
     64     pl2 = pl1;
     65     VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot,Isometry).absDistance(rot * p1), Scalar(1) );
     66     pl2 = pl1;
     67     VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling).absDistance((rot*scaling) * p1), Scalar(1) );
     68     VERIFY_IS_APPROX( pl2.normal().norm(), RealScalar(1) );
     69     pl2 = pl1;
     70     VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling*translation)
     71                                   .absDistance((rot*scaling*translation) * p1), Scalar(1) );
     72     VERIFY_IS_APPROX( pl2.normal().norm(), RealScalar(1) );
     73     pl2 = pl1;
     74     VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*translation,Isometry)
     75                                  .absDistance((rot*translation) * p1), Scalar(1) );
     76     VERIFY_IS_APPROX( pl2.normal().norm(), RealScalar(1) );
     77   }
     78 
     79   // casting
     80   const int Dim = HyperplaneType::AmbientDimAtCompileTime;
     81   typedef typename GetDifferentType<Scalar>::type OtherScalar;
     82   Hyperplane<OtherScalar,Dim,Options> hp1f = pl1.template cast<OtherScalar>();
     83   VERIFY_IS_APPROX(hp1f.template cast<Scalar>(),pl1);
     84   Hyperplane<Scalar,Dim,Options> hp1d = pl1.template cast<Scalar>();
     85   VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),pl1);
     86 }
     87 
     88 template<typename Scalar> void lines()
     89 {
     90   using std::abs;
     91   typedef Hyperplane<Scalar, 2> HLine;
     92   typedef ParametrizedLine<Scalar, 2> PLine;
     93   typedef Matrix<Scalar,2,1> Vector;
     94   typedef Matrix<Scalar,3,1> CoeffsType;
     95 
     96   for(int i = 0; i < 10; i++)
     97   {
     98     Vector center = Vector::Random();
     99     Vector u = Vector::Random();
    100     Vector v = Vector::Random();
    101     Scalar a = internal::random<Scalar>();
    102     while (abs(a-1) < Scalar(1e-4)) a = internal::random<Scalar>();
    103     while (u.norm() < Scalar(1e-4)) u = Vector::Random();
    104     while (v.norm() < Scalar(1e-4)) v = Vector::Random();
    105 
    106     HLine line_u = HLine::Through(center + u, center + a*u);
    107     HLine line_v = HLine::Through(center + v, center + a*v);
    108 
    109     // the line equations should be normalized so that a^2+b^2=1
    110     VERIFY_IS_APPROX(line_u.normal().norm(), Scalar(1));
    111     VERIFY_IS_APPROX(line_v.normal().norm(), Scalar(1));
    112 
    113     Vector result = line_u.intersection(line_v);
    114 
    115     // the lines should intersect at the point we called "center"
    116     if(abs(a-1) > Scalar(1e-2) && abs(v.normalized().dot(u.normalized()))<Scalar(0.9))
    117       VERIFY_IS_APPROX(result, center);
    118 
    119     // check conversions between two types of lines
    120     PLine pl(line_u); // gcc 3.3 will crash if we don't name this variable.
    121     HLine line_u2(pl);
    122     CoeffsType converted_coeffs = line_u2.coeffs();
    123     if(line_u2.normal().dot(line_u.normal())<Scalar(0))
    124       converted_coeffs = -line_u2.coeffs();
    125     VERIFY(line_u.coeffs().isApprox(converted_coeffs));
    126   }
    127 }
    128 
    129 template<typename Scalar> void planes()
    130 {
    131   using std::abs;
    132   typedef Hyperplane<Scalar, 3> Plane;
    133   typedef Matrix<Scalar,3,1> Vector;
    134 
    135   for(int i = 0; i < 10; i++)
    136   {
    137     Vector v0 = Vector::Random();
    138     Vector v1(v0), v2(v0);
    139     if(internal::random<double>(0,1)>0.25)
    140       v1 += Vector::Random();
    141     if(internal::random<double>(0,1)>0.25)
    142       v2 += v1 * std::pow(internal::random<Scalar>(0,1),internal::random<int>(1,16));
    143     if(internal::random<double>(0,1)>0.25)
    144       v2 += Vector::Random() * std::pow(internal::random<Scalar>(0,1),internal::random<int>(1,16));
    145 
    146     Plane p0 = Plane::Through(v0, v1, v2);
    147 
    148     VERIFY_IS_APPROX(p0.normal().norm(), Scalar(1));
    149     VERIFY_IS_MUCH_SMALLER_THAN(p0.absDistance(v0), Scalar(1));
    150     VERIFY_IS_MUCH_SMALLER_THAN(p0.absDistance(v1), Scalar(1));
    151     VERIFY_IS_MUCH_SMALLER_THAN(p0.absDistance(v2), Scalar(1));
    152   }
    153 }
    154 
    155 template<typename Scalar> void hyperplane_alignment()
    156 {
    157   typedef Hyperplane<Scalar,3,AutoAlign> Plane3a;
    158   typedef Hyperplane<Scalar,3,DontAlign> Plane3u;
    159 
    160   EIGEN_ALIGN_MAX Scalar array1[4];
    161   EIGEN_ALIGN_MAX Scalar array2[4];
    162   EIGEN_ALIGN_MAX Scalar array3[4+1];
    163   Scalar* array3u = array3+1;
    164 
    165   Plane3a *p1 = ::new(reinterpret_cast<void*>(array1)) Plane3a;
    166   Plane3u *p2 = ::new(reinterpret_cast<void*>(array2)) Plane3u;
    167   Plane3u *p3 = ::new(reinterpret_cast<void*>(array3u)) Plane3u;
    168   
    169   p1->coeffs().setRandom();
    170   *p2 = *p1;
    171   *p3 = *p1;
    172 
    173   VERIFY_IS_APPROX(p1->coeffs(), p2->coeffs());
    174   VERIFY_IS_APPROX(p1->coeffs(), p3->coeffs());
    175 }
    176 
    177 
    178 EIGEN_DECLARE_TEST(geo_hyperplane)
    179 {
    180   for(int i = 0; i < g_repeat; i++) {
    181     CALL_SUBTEST_1( hyperplane(Hyperplane<float,2>()) );
    182     CALL_SUBTEST_2( hyperplane(Hyperplane<float,3>()) );
    183     CALL_SUBTEST_2( hyperplane(Hyperplane<float,3,DontAlign>()) );
    184     CALL_SUBTEST_2( hyperplane_alignment<float>() );
    185     CALL_SUBTEST_3( hyperplane(Hyperplane<double,4>()) );
    186     CALL_SUBTEST_4( hyperplane(Hyperplane<std::complex<double>,5>()) );
    187     CALL_SUBTEST_1( lines<float>() );
    188     CALL_SUBTEST_3( lines<double>() );
    189     CALL_SUBTEST_2( planes<float>() );
    190     CALL_SUBTEST_5( planes<double>() );
    191   }
    192 }