// Copyright (c) 2018, ETH Zurich and UNC Chapel Hill.
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// Author: Johannes L. Schoenberger (jsch at inf.ethz.ch)

#define TEST_NAME "estimators/fundamental_matrix"
#include "util/testing.h"

#include "estimators/fundamental_matrix.h"

using namespace colmap;

BOOST_AUTO_TEST_CASE(TestSevenPoint) {
  const double points1_raw[] = {0.4964, 1.0577,  0.3650,  -0.0919, -0.5412,
                                0.0159, -0.5239, 0.9467,  0.3467,  0.5301,
                                0.2797, 0.0012,  -0.1986, 0.0460};

  const double points2_raw[] = {0.7570, 2.7340,  0.3961,  0.6981, -0.6014,
                                0.7110, -0.7385, 2.2712,  0.4177, 1.2132,
                                0.3052, 0.4835,  -0.2171, 0.5057};

  const size_t kNumPoints = 7;

  std::vector<Eigen::Vector2d> points1(kNumPoints);
  std::vector<Eigen::Vector2d> points2(kNumPoints);
  for (size_t i = 0; i < kNumPoints; ++i) {
    points1[i] = Eigen::Vector2d(points1_raw[2 * i], points1_raw[2 * i + 1]);
    points2[i] = Eigen::Vector2d(points2_raw[2 * i], points2_raw[2 * i + 1]);
  }

  FundamentalMatrixSevenPointEstimator estimator;
  const auto F = estimator.Estimate(points1, points2)[0];

  // Reference values obtained from Matlab.
  BOOST_CHECK_CLOSE(F(0, 0), 4.81441976, 1e-6);
  BOOST_CHECK_CLOSE(F(0, 1), -8.16978909, 1e-6);
  BOOST_CHECK_CLOSE(F(0, 2), 6.73133404, 1e-6);
  BOOST_CHECK_CLOSE(F(1, 0), 5.16247992, 1e-6);
  BOOST_CHECK_CLOSE(F(1, 1), 0.19325606, 1e-6);
  BOOST_CHECK_CLOSE(F(1, 2), -2.87239381, 1e-6);
  BOOST_CHECK_CLOSE(F(2, 0), -9.92570126, 1e-6);
  BOOST_CHECK_CLOSE(F(2, 1), 3.64159554, 1e-6);
  BOOST_CHECK_CLOSE(F(2, 2), 1., 1e-6);
}

BOOST_AUTO_TEST_CASE(TestEightPoint) {
  const double points1_raw[] = {1.839035, 1.924743, 0.543582,  0.375221,
                                0.473240, 0.142522, 0.964910,  0.598376,
                                0.102388, 0.140092, 15.994343, 9.622164,
                                0.285901, 0.430055, 0.091150,  0.254594};

  const double points2_raw[] = {
      1.002114, 1.129644, 1.521742, 1.846002, 1.084332, 0.275134,
      0.293328, 0.588992, 0.839509, 0.087290, 1.779735, 1.116857,
      0.878616, 0.602447, 0.642616, 1.028681,
  };

  const size_t kNumPoints = 8;
  std::vector<Eigen::Vector2d> points1(kNumPoints);
  std::vector<Eigen::Vector2d> points2(kNumPoints);
  for (size_t i = 0; i < kNumPoints; ++i) {
    points1[i] = Eigen::Vector2d(points1_raw[2 * i], points1_raw[2 * i + 1]);
    points2[i] = Eigen::Vector2d(points2_raw[2 * i], points2_raw[2 * i + 1]);
  }

  FundamentalMatrixEightPointEstimator estimator;
  const auto F = estimator.Estimate(points1, points2)[0];

  // Reference values obtained from Matlab.
  BOOST_CHECK(std::abs(F(0, 0) - -0.217859) < 1e-5);
  BOOST_CHECK(std::abs(F(0, 1) - 0.419282) < 1e-5);
  BOOST_CHECK(std::abs(F(0, 2) - -0.0343075) < 1e-5);
  BOOST_CHECK(std::abs(F(1, 0) - -0.0717941) < 1e-5);
  BOOST_CHECK(std::abs(F(1, 1) - 0.0451643) < 1e-5);
  BOOST_CHECK(std::abs(F(1, 2) - 0.0216073) < 1e-5);
  BOOST_CHECK(std::abs(F(2, 0) - 0.248062) < 1e-5);
  BOOST_CHECK(std::abs(F(2, 1) - -0.429478) < 1e-5);
  BOOST_CHECK(std::abs(F(2, 2) - 0.0221019) < 1e-5);
}
