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// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)

#define TEST_NAME "base/generalized_absolute_pose"
#include "util/testing.h"

#include <array>

#include <Eigen/Core>

#include "base/pose.h"
#include "base/projection.h"
#include "base/similarity_transform.h"
#include "estimators/generalized_absolute_pose.h"
#include "optim/ransac.h"
#include "util/random.h"

using namespace colmap;

BOOST_AUTO_TEST_CASE(Estimate) {
  SetPRNGSeed(0);

  std::vector<Eigen::Vector3d> points3D;
  points3D.emplace_back(1, 1, 1);
  points3D.emplace_back(0, 1, 1);
  points3D.emplace_back(3, 1.0, 4);
  points3D.emplace_back(3, 1.1, 4);
  points3D.emplace_back(3, 1.2, 4);
  points3D.emplace_back(3, 1.3, 4);
  points3D.emplace_back(3, 1.4, 4);
  points3D.emplace_back(2, 1, 7);

  auto points3D_faulty = points3D;
  for (size_t i = 0; i < points3D.size(); ++i) {
    points3D_faulty[i](0) = 20;
  }

  for (double qx = 0; qx < 1; qx += 0.2) {
    for (double tx = 0; tx < 1; tx += 0.1) {
      const int kRefTform = 1;
      const int kNumTforms = 3;

      const std::array<SimilarityTransform3, kNumTforms> orig_tforms = {{
          SimilarityTransform3(1, Eigen::Vector4d(1, qx, 0, 0),
                               Eigen::Vector3d(tx, -0.1, 0)),
          SimilarityTransform3(1, Eigen::Vector4d(1, qx, 0, 0),
                               Eigen::Vector3d(tx, 0, 0)),
          SimilarityTransform3(1, Eigen::Vector4d(1, qx, 0, 0),
                               Eigen::Vector3d(tx, 0.1, 0)),
      }};

      std::array<Eigen::Matrix3x4d, kNumTforms> rel_tforms;
      for (size_t i = 0; i < kNumTforms; ++i) {
        Eigen::Vector4d rel_qvec;
        Eigen::Vector3d rel_tvec;
        ComputeRelativePose(orig_tforms[kRefTform].Rotation(),
                            orig_tforms[kRefTform].Translation(),
                            orig_tforms[i].Rotation(),
                            orig_tforms[i].Translation(), &rel_qvec, &rel_tvec);
        rel_tforms[i] = ComposeProjectionMatrix(rel_qvec, rel_tvec);
      }

      // Project points to camera coordinate system.
      std::vector<GP3PEstimator::X_t> points2D;
      for (size_t i = 0; i < points3D.size(); ++i) {
        Eigen::Vector3d point3D_camera = points3D[i];
        orig_tforms[i % kNumTforms].TransformPoint(&point3D_camera);
        points2D.emplace_back();
        points2D.back().rel_tform = rel_tforms[i % kNumTforms];
        points2D.back().xy = point3D_camera.hnormalized();
      }

      RANSACOptions options;
      options.max_error = 1e-5;
      RANSAC<GP3PEstimator> ransac(options);
      const auto report = ransac.Estimate(points2D, points3D);

      BOOST_CHECK_EQUAL(report.success, true);

      // Test if correct transformation has been determined.
      const double matrix_diff =
          (orig_tforms[kRefTform].Matrix().topLeftCorner<3, 4>() - report.model)
              .norm();
      BOOST_CHECK(matrix_diff < 1e-2);

      // Test residuals of exact points.
      std::vector<double> residuals;
      ransac.estimator.Residuals(points2D, points3D, report.model, &residuals);
      for (size_t i = 0; i < residuals.size(); ++i) {
        BOOST_CHECK(residuals[i] < 1e-10);
      }

      // Test residuals of faulty points.
      ransac.estimator.Residuals(points2D, points3D_faulty, report.model,
                                 &residuals);
      for (size_t i = 0; i < residuals.size(); ++i) {
        BOOST_CHECK(residuals[i] > 1e-10);
      }
    }
  }
}