coordinate_frame_test.cc

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// Copyright (c) 2018, ETH Zurich and UNC Chapel Hill.
// All rights reserved.
//
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// modification, are permitted provided that the following conditions are met:
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//       its contributors may be used to endorse or promote products derived
//       from this software without specific prior written permission.
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
 
#define TEST_NAME "estimators/coordinate_frame"
#include "util/testing.h"
 
#include "estimators/coordinate_frame.h"
#include "base/gps.h"
 
using namespace colmap;
 
BOOST_AUTO_TEST_CASE(TestEstimateGravityVectorFromImageOrientation) {
  Reconstruction reconstruction;
  BOOST_CHECK_EQUAL(EstimateGravityVectorFromImageOrientation(reconstruction),
                    Eigen::Vector3d::Zero());
}
 
BOOST_AUTO_TEST_CASE(TestEstimateManhattanWorldFrame) {
  Reconstruction reconstruction;
  std::string image_path;
  BOOST_CHECK_EQUAL(
      EstimateManhattanWorldFrame(ManhattanWorldFrameEstimationOptions(),
                                  reconstruction, image_path),
      Eigen::Matrix3d::Zero());
}
 
BOOST_AUTO_TEST_CASE(TestAlignToPrincipalPlane) {
  // Start with reconstruction containing points on the Y-Z plane and cameras
  // "above" the plane on the positive X axis. After alignment the points should
  // be on the X-Y plane and the cameras "above" the plane on the positive Z
  // axis.
  SimilarityTransform3 tform;
  Reconstruction reconstruction;
  // Setup image with projection center at (1, 0, 0)
  Image image;
  image.SetImageId(1);
  image.Qvec() = Eigen::Vector4d(1.0, 0.0, 0.0, 0.0);
  image.Tvec() = Eigen::Vector3d(-1.0, 0.0, 0.0);
  reconstruction.AddImage(image);
  // Setup 4 points on the Y-Z plane
  point3D_t p1 =
      reconstruction.AddPoint3D(Eigen::Vector3d(0.0, -1.0, 0.0), Track());
  point3D_t p2 =
      reconstruction.AddPoint3D(Eigen::Vector3d(0.0, 1.0, 0.0), Track());
  point3D_t p3 =
      reconstruction.AddPoint3D(Eigen::Vector3d(0.0, 0.0, -1.0), Track());
  point3D_t p4 =
      reconstruction.AddPoint3D(Eigen::Vector3d(0.0, 0.0, 1.0), Track());
  AlignToPrincipalPlane(&reconstruction, &tform);
  // Note that the final X and Y axes may be inverted after alignment, so we
  // need to account for both cases when checking for correctness
  const bool inverted = tform.Rotation()(2) < 0;
 
  // Verify that points lie on the correct locations of the X-Y plane
  BOOST_CHECK_LE((reconstruction.Point3D(p1).XYZ() -
                  Eigen::Vector3d(inverted ? 1.0 : -1.0, 0.0, 0.0))
                     .norm(),
                 1e-6);
  BOOST_CHECK_LE((reconstruction.Point3D(p2).XYZ() -
                  Eigen::Vector3d(inverted ? -1.0 : 1.0, 0.0, 0.0))
                     .norm(),
                 1e-6);
  BOOST_CHECK_LE((reconstruction.Point3D(p3).XYZ() -
                  Eigen::Vector3d(0.0, inverted ? 1.0 : -1.0, 0.0))
                     .norm(),
                 1e-6);
  BOOST_CHECK_LE((reconstruction.Point3D(p4).XYZ() -
                  Eigen::Vector3d(0.0, inverted ? -1.0 : 1.0, 0.0))
                     .norm(),
                 1e-6);
  // Verify that projection center is at (0, 0, 1)
  BOOST_CHECK_LE((reconstruction.Image(1).ProjectionCenter() -
                  Eigen::Vector3d(0.0, 0.0, 1.0))
                     .norm(),
                 1e-6);
  // Verify that transform matrix does shuffling of axes
  Eigen::Matrix4d mat;
  if (inverted) {
    mat << 0, -1, 0, 0, 0, 0, -1, 0, 1, 0, 0, 0, 0, 0, 0, 1;
  } else {
    mat << 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1;
  }
  std::cout << tform.Matrix() << std::endl;
  BOOST_CHECK_LE((tform.Matrix() - mat).norm(), 1e-6);
}
 
BOOST_AUTO_TEST_CASE(TestAlignToENUPlane) {
  // Create reconstruction with 4 points with known LLA coordinates. After the
  // ENU transform all 4 points should land approximately on the X-Y plane.
  GPSTransform gps;
  auto points = gps.EllToXYZ(
      {Eigen::Vector3d(50, 10.1, 100), Eigen::Vector3d(50.1, 10, 100),
       Eigen::Vector3d(50.1, 10.1, 100), Eigen::Vector3d(50, 10, 100)});
  SimilarityTransform3 tform;
  Reconstruction reconstruction;
  std::vector<point3D_t> point_ids;
  for (size_t i = 0; i < points.size(); ++i) {
    point_ids.push_back(reconstruction.AddPoint3D(points[i], Track()));
    std::cout << points[i].transpose() << std::endl;
  }
  AlignToENUPlane(&reconstruction, &tform, false);
  // Verify final locations of points
  BOOST_CHECK_LE((reconstruction.Point3D(point_ids[0]).XYZ() -
                  Eigen::Vector3d(3584.8565215, -5561.5336506, 0.0742643))
                     .norm(),
                 1e-6);
  BOOST_CHECK_LE((reconstruction.Point3D(point_ids[1]).XYZ() -
                  Eigen::Vector3d(-3577.3888622, 5561.6397107, 0.0783761))
                     .norm(),
                 1e-6);
  BOOST_CHECK_LE((reconstruction.Point3D(point_ids[2]).XYZ() -
                  Eigen::Vector3d(3577.4152111, 5561.6397283, 0.0783613))
                     .norm(),
                 1e-6);
  BOOST_CHECK_LE((reconstruction.Point3D(point_ids[3]).XYZ() -
                  Eigen::Vector3d(-3584.8301178, -5561.5336683, 0.0742791))
                     .norm(),
                 1e-6);
 
  // Verify that straight line distance between points is preserved
  for (size_t i = 1; i < points.size(); ++i) {
    const double dist_orig = (points[i] - points[i - 1]).norm();
    const double dist_tform = (reconstruction.Point3D(point_ids[i]).XYZ() -
                               reconstruction.Point3D(point_ids[i - 1]).XYZ())
                                  .norm();
    BOOST_CHECK_LE(std::abs(dist_orig - dist_tform), 1e-6);
  }
 
}