1 | // This file is part of Eigen, a lightweight C++ template library
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2 | // for linear algebra.
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3 | //
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4 | // Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
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5 | //
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6 | // This Source Code Form is subject to the terms of the Mozilla
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7 | // Public License v. 2.0. If a copy of the MPL was not distributed
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8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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9 |
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10 | #include "main.h"
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11 | #include <Eigen/Geometry>
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12 |
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13 | template<typename Scalar,int Size> void homogeneous(void)
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14 | {
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15 | /* this test covers the following files:
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16 | Homogeneous.h
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17 | */
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18 |
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19 | typedef Matrix<Scalar,Size,Size> MatrixType;
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20 | typedef Matrix<Scalar,Size,1, ColMajor> VectorType;
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21 |
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22 | typedef Matrix<Scalar,Size+1,Size> HMatrixType;
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23 | typedef Matrix<Scalar,Size+1,1> HVectorType;
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24 |
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25 | typedef Matrix<Scalar,Size,Size+1> T1MatrixType;
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26 | typedef Matrix<Scalar,Size+1,Size+1> T2MatrixType;
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27 | typedef Matrix<Scalar,Size+1,Size> T3MatrixType;
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28 |
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29 | VectorType v0 = VectorType::Random(),
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30 | ones = VectorType::Ones();
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31 |
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32 | HVectorType hv0 = HVectorType::Random();
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33 |
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34 | MatrixType m0 = MatrixType::Random();
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35 |
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36 | HMatrixType hm0 = HMatrixType::Random();
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37 |
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38 | hv0 << v0, 1;
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39 | VERIFY_IS_APPROX(v0.homogeneous(), hv0);
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40 | VERIFY_IS_APPROX(v0, hv0.hnormalized());
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41 |
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42 | hm0 << m0, ones.transpose();
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43 | VERIFY_IS_APPROX(m0.colwise().homogeneous(), hm0);
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44 | VERIFY_IS_APPROX(m0, hm0.colwise().hnormalized());
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45 | hm0.row(Size-1).setRandom();
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46 | for(int j=0; j<Size; ++j)
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47 | m0.col(j) = hm0.col(j).head(Size) / hm0(Size,j);
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48 | VERIFY_IS_APPROX(m0, hm0.colwise().hnormalized());
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49 |
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50 | T1MatrixType t1 = T1MatrixType::Random();
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51 | VERIFY_IS_APPROX(t1 * (v0.homogeneous().eval()), t1 * v0.homogeneous());
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52 | VERIFY_IS_APPROX(t1 * (m0.colwise().homogeneous().eval()), t1 * m0.colwise().homogeneous());
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53 |
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54 | T2MatrixType t2 = T2MatrixType::Random();
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55 | VERIFY_IS_APPROX(t2 * (v0.homogeneous().eval()), t2 * v0.homogeneous());
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56 | VERIFY_IS_APPROX(t2 * (m0.colwise().homogeneous().eval()), t2 * m0.colwise().homogeneous());
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57 | VERIFY_IS_APPROX(t2 * (v0.homogeneous().asDiagonal()), t2 * hv0.asDiagonal());
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58 | VERIFY_IS_APPROX((v0.homogeneous().asDiagonal()) * t2, hv0.asDiagonal() * t2);
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59 |
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60 | VERIFY_IS_APPROX((v0.transpose().rowwise().homogeneous().eval()) * t2,
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61 | v0.transpose().rowwise().homogeneous() * t2);
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62 | m0.transpose().rowwise().homogeneous().eval();
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63 | VERIFY_IS_APPROX((m0.transpose().rowwise().homogeneous().eval()) * t2,
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64 | m0.transpose().rowwise().homogeneous() * t2);
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65 |
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66 | T3MatrixType t3 = T3MatrixType::Random();
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67 | VERIFY_IS_APPROX((v0.transpose().rowwise().homogeneous().eval()) * t3,
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68 | v0.transpose().rowwise().homogeneous() * t3);
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69 | VERIFY_IS_APPROX((m0.transpose().rowwise().homogeneous().eval()) * t3,
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70 | m0.transpose().rowwise().homogeneous() * t3);
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71 |
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72 | // test product with a Transform object
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73 | Transform<Scalar, Size, Affine> aff;
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74 | Transform<Scalar, Size, AffineCompact> caff;
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75 | Transform<Scalar, Size, Projective> proj;
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76 | Matrix<Scalar, Size, Dynamic> pts;
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77 | Matrix<Scalar, Size+1, Dynamic> pts1, pts2;
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78 |
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79 | aff.affine().setRandom();
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80 | proj = caff = aff;
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81 | pts.setRandom(Size,internal::random<int>(1,20));
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82 |
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83 | pts1 = pts.colwise().homogeneous();
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84 | VERIFY_IS_APPROX(aff * pts.colwise().homogeneous(), (aff * pts1).colwise().hnormalized());
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85 | VERIFY_IS_APPROX(caff * pts.colwise().homogeneous(), (caff * pts1).colwise().hnormalized());
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86 | VERIFY_IS_APPROX(proj * pts.colwise().homogeneous(), (proj * pts1));
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87 |
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88 | VERIFY_IS_APPROX((aff * pts1).colwise().hnormalized(), aff * pts);
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89 | VERIFY_IS_APPROX((caff * pts1).colwise().hnormalized(), caff * pts);
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90 |
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91 | pts2 = pts1;
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92 | pts2.row(Size).setRandom();
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93 | VERIFY_IS_APPROX((aff * pts2).colwise().hnormalized(), aff * pts2.colwise().hnormalized());
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94 | VERIFY_IS_APPROX((caff * pts2).colwise().hnormalized(), caff * pts2.colwise().hnormalized());
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95 | VERIFY_IS_APPROX((proj * pts2).colwise().hnormalized(), (proj * pts2.colwise().hnormalized().colwise().homogeneous()).colwise().hnormalized());
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96 | }
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97 |
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98 | void test_geo_homogeneous()
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99 | {
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100 | for(int i = 0; i < g_repeat; i++) {
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101 | CALL_SUBTEST_1(( homogeneous<float,1>() ));
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102 | CALL_SUBTEST_2(( homogeneous<double,3>() ));
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103 | CALL_SUBTEST_3(( homogeneous<double,8>() ));
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104 | }
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105 | }
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