geo_hyperplane.cpp revision c981c48f5bc9aefeffc0bcb0cc3934c2fae179dd
1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Geometry>
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/LU>
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/QR>
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename HyperplaneType> void hyperplane(const HyperplaneType& _plane)
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /* this test covers the following files:
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath     Hyperplane.h
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename HyperplaneType::Index Index;
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  const Index dim = _plane.dim();
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum { Options = HyperplaneType::Options };
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename HyperplaneType::Scalar Scalar;
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime, 1> VectorType;
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime,
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                         HyperplaneType::AmbientDimAtCompileTime> MatrixType;
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType p0 = VectorType::Random(dim);
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType p1 = VectorType::Random(dim);
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType n0 = VectorType::Random(dim).normalized();
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType n1 = VectorType::Random(dim).normalized();
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  HyperplaneType pl0(n0, p0);
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  HyperplaneType pl1(n1, p1);
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  HyperplaneType pl2 = pl1;
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar s0 = internal::random<Scalar>();
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar s1 = internal::random<Scalar>();
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( n1.dot(n1), Scalar(1) );
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN( pl0.absDistance(p0), Scalar(1) );
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( pl1.signedDistance(p1 + n1 * s0), s0 );
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN( pl1.signedDistance(pl1.projection(p0)), Scalar(1) );
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN( pl1.absDistance(p1 +  pl1.normal().unitOrthogonal() * s1), Scalar(1) );
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // transform
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if (!NumTraits<Scalar>::IsComplex)
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixType rot = MatrixType::Random(dim,dim).householderQr().householderQ();
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    DiagonalMatrix<Scalar,HyperplaneType::AmbientDimAtCompileTime> scaling(VectorType::Random());
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Translation<Scalar,HyperplaneType::AmbientDimAtCompileTime> translation(VectorType::Random());
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    pl2 = pl1;
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot).absDistance(rot * p1), Scalar(1) );
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    pl2 = pl1;
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot,Isometry).absDistance(rot * p1), Scalar(1) );
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    pl2 = pl1;
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling).absDistance((rot*scaling) * p1), Scalar(1) );
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    pl2 = pl1;
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling*translation)
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                                 .absDistance((rot*scaling*translation) * p1), Scalar(1) );
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    pl2 = pl1;
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*translation,Isometry)
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                                 .absDistance((rot*translation) * p1), Scalar(1) );
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // casting
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  const int Dim = HyperplaneType::AmbientDimAtCompileTime;
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename GetDifferentType<Scalar>::type OtherScalar;
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Hyperplane<OtherScalar,Dim,Options> hp1f = pl1.template cast<OtherScalar>();
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(hp1f.template cast<Scalar>(),pl1);
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Hyperplane<Scalar,Dim,Options> hp1d = pl1.template cast<Scalar>();
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),pl1);
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> void lines()
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Hyperplane<Scalar, 2> HLine;
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef ParametrizedLine<Scalar, 2> PLine;
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,2,1> Vector;
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,3,1> CoeffsType;
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < 10; i++)
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Vector center = Vector::Random();
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Vector u = Vector::Random();
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Vector v = Vector::Random();
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Scalar a = internal::random<Scalar>();
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    while (internal::abs(a-1) < 1e-4) a = internal::random<Scalar>();
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    while (u.norm() < 1e-4) u = Vector::Random();
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    while (v.norm() < 1e-4) v = Vector::Random();
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    HLine line_u = HLine::Through(center + u, center + a*u);
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    HLine line_v = HLine::Through(center + v, center + a*v);
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // the line equations should be normalized so that a^2+b^2=1
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(line_u.normal().norm(), Scalar(1));
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(line_v.normal().norm(), Scalar(1));
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Vector result = line_u.intersection(line_v);
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // the lines should intersect at the point we called "center"
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(result, center);
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // check conversions between two types of lines
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    PLine pl(line_u); // gcc 3.3 will commit suicide if we don't name this variable
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CoeffsType converted_coeffs = HLine(pl).coeffs();
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    converted_coeffs *= (line_u.coeffs()[0])/(converted_coeffs[0]);
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY(line_u.coeffs().isApprox(converted_coeffs));
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> void hyperplane_alignment()
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Hyperplane<Scalar,3,AutoAlign> Plane3a;
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Hyperplane<Scalar,3,DontAlign> Plane3u;
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  EIGEN_ALIGN16 Scalar array1[4];
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  EIGEN_ALIGN16 Scalar array2[4];
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  EIGEN_ALIGN16 Scalar array3[4+1];
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar* array3u = array3+1;
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Plane3a *p1 = ::new(reinterpret_cast<void*>(array1)) Plane3a;
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Plane3u *p2 = ::new(reinterpret_cast<void*>(array2)) Plane3u;
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Plane3u *p3 = ::new(reinterpret_cast<void*>(array3u)) Plane3u;
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  p1->coeffs().setRandom();
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *p2 = *p1;
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *p3 = *p1;
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(p1->coeffs(), p2->coeffs());
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(p1->coeffs(), p3->coeffs());
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  #if defined(EIGEN_VECTORIZE) && EIGEN_ALIGN_STATICALLY
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if(internal::packet_traits<Scalar>::Vectorizable)
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT((::new(reinterpret_cast<void*>(array3u)) Plane3a));
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  #endif
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_geo_hyperplane()
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat; i++) {
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( hyperplane(Hyperplane<float,2>()) );
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( hyperplane(Hyperplane<float,3>()) );
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( hyperplane(Hyperplane<float,3,DontAlign>()) );
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( hyperplane_alignment<float>() );
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( hyperplane(Hyperplane<double,4>()) );
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( hyperplane(Hyperplane<std::complex<double>,5>()) );
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( lines<float>() );
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( lines<double>() );
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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