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1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
5 //
6 // This Source Code Form is subject to the terms of the Mozilla
7 // Public License v. 2.0. If a copy of the MPL was not distributed
8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9 
10 #include "main.h"
11 #include <Eigen/Geometry>
12 #include <Eigen/LU>
13 #include <Eigen/SVD>
14 
15 /* this test covers the following files:
16    Geometry/OrthoMethods.h
17 */
18 
orthomethods_3()19 template<typename Scalar> void orthomethods_3()
20 {
21   typedef typename NumTraits<Scalar>::Real RealScalar;
22   typedef Matrix<Scalar,3,3> Matrix3;
23   typedef Matrix<Scalar,3,1> Vector3;
24 
25   typedef Matrix<Scalar,4,1> Vector4;
26 
27   Vector3 v0 = Vector3::Random(),
28           v1 = Vector3::Random(),
29           v2 = Vector3::Random();
30 
31   // cross product
32   VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).dot(v1), Scalar(1));
33   VERIFY_IS_MUCH_SMALLER_THAN(v1.dot(v1.cross(v2)), Scalar(1));
34   VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(v2).dot(v2), Scalar(1));
35   VERIFY_IS_MUCH_SMALLER_THAN(v2.dot(v1.cross(v2)), Scalar(1));
36   VERIFY_IS_MUCH_SMALLER_THAN(v1.cross(Vector3::Random()).dot(v1), Scalar(1));
37   Matrix3 mat3;
38   mat3 << v0.normalized(),
39          (v0.cross(v1)).normalized(),
40          (v0.cross(v1).cross(v0)).normalized();
41   VERIFY(mat3.isUnitary());
42 
43   mat3.setRandom();
44   VERIFY_IS_APPROX(v0.cross(mat3*v1), -(mat3*v1).cross(v0));
45   VERIFY_IS_APPROX(v0.cross(mat3.lazyProduct(v1)), -(mat3.lazyProduct(v1)).cross(v0));
46 
47   // colwise/rowwise cross product
48   mat3.setRandom();
49   Vector3 vec3 = Vector3::Random();
50   Matrix3 mcross;
51   int i = internal::random<int>(0,2);
52   mcross = mat3.colwise().cross(vec3);
53   VERIFY_IS_APPROX(mcross.col(i), mat3.col(i).cross(vec3));
54 
55   VERIFY_IS_MUCH_SMALLER_THAN((mat3.adjoint() * mat3.colwise().cross(vec3)).diagonal().cwiseAbs().sum(), Scalar(1));
56   VERIFY_IS_MUCH_SMALLER_THAN((mat3.adjoint() * mat3.colwise().cross(Vector3::Random())).diagonal().cwiseAbs().sum(), Scalar(1));
57 
58   VERIFY_IS_MUCH_SMALLER_THAN((vec3.adjoint() * mat3.colwise().cross(vec3)).cwiseAbs().sum(), Scalar(1));
59   VERIFY_IS_MUCH_SMALLER_THAN((vec3.adjoint() * Matrix3::Random().colwise().cross(vec3)).cwiseAbs().sum(), Scalar(1));
60 
61   mcross = mat3.rowwise().cross(vec3);
62   VERIFY_IS_APPROX(mcross.row(i), mat3.row(i).cross(vec3));
63 
64   // cross3
65   Vector4 v40 = Vector4::Random(),
66           v41 = Vector4::Random(),
67           v42 = Vector4::Random();
68   v40.w() = v41.w() = v42.w() = 0;
69   v42.template head<3>() = v40.template head<3>().cross(v41.template head<3>());
70   VERIFY_IS_APPROX(v40.cross3(v41), v42);
71   VERIFY_IS_MUCH_SMALLER_THAN(v40.cross3(Vector4::Random()).dot(v40), Scalar(1));
72 
73   // check mixed product
74   typedef Matrix<RealScalar, 3, 1> RealVector3;
75   RealVector3 rv1 = RealVector3::Random();
76   VERIFY_IS_APPROX(v1.cross(rv1.template cast<Scalar>()), v1.cross(rv1));
77   VERIFY_IS_APPROX(rv1.template cast<Scalar>().cross(v1), rv1.cross(v1));
78 }
79 
orthomethods(int size=Size)80 template<typename Scalar, int Size> void orthomethods(int size=Size)
81 {
82   typedef typename NumTraits<Scalar>::Real RealScalar;
83   typedef Matrix<Scalar,Size,1> VectorType;
84   typedef Matrix<Scalar,3,Size> Matrix3N;
85   typedef Matrix<Scalar,Size,3> MatrixN3;
86   typedef Matrix<Scalar,3,1> Vector3;
87 
88   VectorType v0 = VectorType::Random(size);
89 
90   // unitOrthogonal
91   VERIFY_IS_MUCH_SMALLER_THAN(v0.unitOrthogonal().dot(v0), Scalar(1));
92   VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), RealScalar(1));
93 
94   if (size>=3)
95   {
96     v0.template head<2>().setZero();
97     v0.tail(size-2).setRandom();
98 
99     VERIFY_IS_MUCH_SMALLER_THAN(v0.unitOrthogonal().dot(v0), Scalar(1));
100     VERIFY_IS_APPROX(v0.unitOrthogonal().norm(), RealScalar(1));
101   }
102 
103   // colwise/rowwise cross product
104   Vector3 vec3 = Vector3::Random();
105   int i = internal::random<int>(0,size-1);
106 
107   Matrix3N mat3N(3,size), mcross3N(3,size);
108   mat3N.setRandom();
109   mcross3N = mat3N.colwise().cross(vec3);
110   VERIFY_IS_APPROX(mcross3N.col(i), mat3N.col(i).cross(vec3));
111 
112   MatrixN3 matN3(size,3), mcrossN3(size,3);
113   matN3.setRandom();
114   mcrossN3 = matN3.rowwise().cross(vec3);
115   VERIFY_IS_APPROX(mcrossN3.row(i), matN3.row(i).cross(vec3));
116 }
117 
test_geo_orthomethods()118 void test_geo_orthomethods()
119 {
120   for(int i = 0; i < g_repeat; i++) {
121     CALL_SUBTEST_1( orthomethods_3<float>() );
122     CALL_SUBTEST_2( orthomethods_3<double>() );
123     CALL_SUBTEST_4( orthomethods_3<std::complex<double> >() );
124     CALL_SUBTEST_1( (orthomethods<float,2>()) );
125     CALL_SUBTEST_2( (orthomethods<double,2>()) );
126     CALL_SUBTEST_1( (orthomethods<float,3>()) );
127     CALL_SUBTEST_2( (orthomethods<double,3>()) );
128     CALL_SUBTEST_3( (orthomethods<float,7>()) );
129     CALL_SUBTEST_4( (orthomethods<std::complex<double>,8>()) );
130     CALL_SUBTEST_5( (orthomethods<float,Dynamic>(36)) );
131     CALL_SUBTEST_6( (orthomethods<double,Dynamic>(35)) );
132   }
133 }
134