// 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 // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. // // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de) #define TEST_NAME "estimators/translation_transform" #include "util/testing.h" #include #include "estimators/translation_transform.h" #include "optim/ransac.h" #include "util/random.h" using namespace colmap; BOOST_AUTO_TEST_CASE(TestEstimate) { SetPRNGSeed(0); std::vector src; for (size_t i = 0; i < 100; ++i) { src.emplace_back(RandomReal(-1000.0, 1000.0), RandomReal(-1000.0, 1000.0)); } Eigen::Vector2d translation(RandomReal(-1000.0, 1000.0), RandomReal(-1000.0, 1000.0)); std::vector dst; for (size_t i = 0; i < src.size(); ++i) { dst.push_back(src[i] + translation); } const auto estimated_translation = TranslationTransformEstimator<2>::Estimate(src, dst)[0]; BOOST_CHECK_CLOSE(translation(0), estimated_translation(0), 1e-6); BOOST_CHECK_CLOSE(translation(1), estimated_translation(1), 1e-6); std::vector residuals; TranslationTransformEstimator<2>::Residuals(src, dst, estimated_translation, &residuals); for (size_t i = 0; i < residuals.size(); ++i) { BOOST_CHECK(residuals[i] < 1e-6); } }