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A Modern Library for 3D Data Processing
homography_matrix_test.cc
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30 // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
31 
32 #define TEST_NAME "estimators/homography_matrix"
33 #include "util/testing.h"
34 
35 #include <Eigen/Core>
36 #include <Eigen/Geometry>
37 
39 
40 using namespace colmap;
41 
42 BOOST_AUTO_TEST_CASE(TestEstimate) {
43  for (double x = 0; x < 10; ++x) {
44  Eigen::Matrix3d H0;
45  H0 << x, 0.2, 0.3, 30, 0.2, 0.1, 0.3, 20, 1;
46 
47  std::vector<Eigen::Vector2d> src;
48  src.emplace_back(x, 0);
49  src.emplace_back(1, 0);
50  src.emplace_back(2, 1);
51  src.emplace_back(10, 30);
52 
53  std::vector<Eigen::Vector2d> dst;
54 
55  for (size_t i = 0; i < 4; ++i) {
56  const Eigen::Vector3d dsth = H0 * src[i].homogeneous();
57  dst.push_back(dsth.hnormalized());
58  }
59 
60  HomographyMatrixEstimator est_tform;
61  const auto models = est_tform.Estimate(src, dst);
62 
63  std::vector<double> residuals;
64  est_tform.Residuals(src, dst, models[0], &residuals);
65 
66  for (size_t i = 0; i < 4; ++i) {
67  BOOST_CHECK(residuals[i] < 1e-6);
68  }
69  }
70 }
BOOST_AUTO_TEST_CASE(TestDecomposeHomographyMatrix)
static std::vector< M_t > Estimate(const std::vector< X_t > &points1, const std::vector< Y_t > &points2)
static void Residuals(const std::vector< X_t > &points1, const std::vector< Y_t > &points2, const M_t &H, std::vector< double > *residuals)
const double * e
normal_z x