| // Copyright (c) 2022, ETH Zurich and UNC Chapel Hill. | |
| // All rights reserved. | |
| // | |
| // Redistribution and use in source and binary forms, with or without | |
| // modification, are permitted provided that the following conditions are met: | |
| // | |
| // * Redistributions of source code must retain the above copyright | |
| // notice, this list of conditions and the following disclaimer. | |
| // | |
| // * Redistributions in binary form must reproduce the above copyright | |
| // notice, this list of conditions and the following disclaimer in the | |
| // documentation and/or other materials provided with the distribution. | |
| // | |
| // * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of | |
| // its contributors may be used to endorse or promote products derived | |
| // from this software without specific prior written permission. | |
| // | |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | |
| // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | |
| // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | |
| // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE | |
| // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | |
| // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | |
| // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | |
| // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | |
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| // POSSIBILITY OF SUCH DAMAGE. | |
| // | |
| // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de) | |
| using namespace colmap; | |
| BOOST_AUTO_TEST_CASE(TestCenterAndNormalizeImagePoints) { | |
| std::vector<Eigen::Vector2d> points; | |
| for (size_t i = 0; i < 11; ++i) { | |
| points.emplace_back(i, i); | |
| } | |
| std::vector<Eigen::Vector2d> normed_points; | |
| Eigen::Matrix3d matrix; | |
| CenterAndNormalizeImagePoints(points, &normed_points, &matrix); | |
| BOOST_CHECK_EQUAL(matrix(0, 0), 0.31622776601683794); | |
| BOOST_CHECK_EQUAL(matrix(1, 1), 0.31622776601683794); | |
| BOOST_CHECK_EQUAL(matrix(0, 2), -1.5811388300841898); | |
| BOOST_CHECK_EQUAL(matrix(1, 2), -1.5811388300841898); | |
| Eigen::Vector2d mean_point(0, 0); | |
| for (const auto& point : normed_points) { | |
| mean_point += point; | |
| } | |
| BOOST_CHECK_LT(std::abs(mean_point[0]), 1e-6); | |
| BOOST_CHECK_LT(std::abs(mean_point[1]), 1e-6); | |
| } | |
| BOOST_AUTO_TEST_CASE(TestComputeSquaredSampsonError) { | |
| std::vector<Eigen::Vector2d> points1; | |
| points1.emplace_back(0, 0); | |
| points1.emplace_back(0, 0); | |
| points1.emplace_back(0, 0); | |
| std::vector<Eigen::Vector2d> points2; | |
| points2.emplace_back(2, 0); | |
| points2.emplace_back(2, 1); | |
| points2.emplace_back(2, 2); | |
| const Eigen::Matrix3d E = EssentialMatrixFromPose(Eigen::Matrix3d::Identity(), | |
| Eigen::Vector3d(1, 0, 0)); | |
| std::vector<double> residuals; | |
| ComputeSquaredSampsonError(points1, points2, E, &residuals); | |
| BOOST_CHECK_EQUAL(residuals.size(), 3); | |
| BOOST_CHECK_EQUAL(residuals[0], 0); | |
| BOOST_CHECK_EQUAL(residuals[1], 0.5); | |
| BOOST_CHECK_EQUAL(residuals[2], 2); | |
| } | |