// 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) #ifndef COLMAP_SRC_ESTIMATORS_EUCLIDEAN_TRANSFORM_H_ #define COLMAP_SRC_ESTIMATORS_EUCLIDEAN_TRANSFORM_H_ #include "base/similarity_transform.h" #include "util/alignment.h" namespace colmap { // N-D Euclidean transform estimator from corresponding point pairs in the // source and destination coordinate systems. // // This algorithm is based on the following paper: // // S. Umeyama. Least-Squares Estimation of Transformation Parameters // Between Two Point Patterns. IEEE Transactions on Pattern Analysis and // Machine Intelligence, Volume 13 Issue 4, Page 376-380, 1991. // http://www.stanford.edu/class/cs273/refs/umeyama.pdf // // and uses the Eigen implementation. template using EuclideanTransformEstimator = SimilarityTransformEstimator; } // namespace colmap #endif // COLMAP_SRC_ESTIMATORS_EUCLIDEAN_TRANSFORM_H_