/** * This file is part of ORB-SLAM3 * * Copyright (C) 2017-2021 Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M.M. Montiel and Juan D. Tardós, University of Zaragoza. * Copyright (C) 2014-2016 Raúl Mur-Artal, José M.M. Montiel and Juan D. Tardós, University of Zaragoza. * * ORB-SLAM3 is free software: you can redistribute it and/or modify it under the terms of the GNU General Public * License as published by the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * ORB-SLAM3 is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even * the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License along with ORB-SLAM3. * If not, see . */ #ifndef TwoViewReconstruction_H #define TwoViewReconstruction_H #include #include #include #include namespace ORB_SLAM3 { class TwoViewReconstruction { typedef std::pair Match; public: EIGEN_MAKE_ALIGNED_OPERATOR_NEW // Fix the reference frame TwoViewReconstruction(const Eigen::Matrix3f& k, float sigma = 1.0, int iterations = 200); // Computes in parallel a fundamental matrix and a homography // Selects a model and tries to recover the motion and the structure from motion bool Reconstruct(const std::vector& vKeys1, const std::vector& vKeys2, const std::vector &vMatches12, Sophus::SE3f &T21, std::vector &vP3D, std::vector &vbTriangulated); private: void FindHomography(std::vector &vbMatchesInliers, float &score, Eigen::Matrix3f &H21); void FindFundamental(std::vector &vbInliers, float &score, Eigen::Matrix3f &F21); Eigen::Matrix3f ComputeH21(const std::vector &vP1, const std::vector &vP2); Eigen::Matrix3f ComputeF21(const std::vector &vP1, const std::vector &vP2); float CheckHomography(const Eigen::Matrix3f &H21, const Eigen::Matrix3f &H12, std::vector &vbMatchesInliers, float sigma); float CheckFundamental(const Eigen::Matrix3f &F21, std::vector &vbMatchesInliers, float sigma); bool ReconstructF(std::vector &vbMatchesInliers, Eigen::Matrix3f &F21, Eigen::Matrix3f &K, Sophus::SE3f &T21, std::vector &vP3D, std::vector &vbTriangulated, float minParallax, int minTriangulated); bool ReconstructH(std::vector &vbMatchesInliers, Eigen::Matrix3f &H21, Eigen::Matrix3f &K, Sophus::SE3f &T21, std::vector &vP3D,std:: vector &vbTriangulated, float minParallax, int minTriangulated); void Normalize(const std::vector &vKeys, std::vector &vNormalizedPoints, Eigen::Matrix3f &T); int CheckRT(const Eigen::Matrix3f &R, const Eigen::Vector3f &t, const std::vector &vKeys1, const std::vector &vKeys2, const std::vector &vMatches12, std::vector &vbMatchesInliers, const Eigen::Matrix3f &K, std::vector &vP3D, float th2, std::vector &vbGood, float ¶llax); void DecomposeE(const Eigen::Matrix3f &E, Eigen::Matrix3f &R1, Eigen::Matrix3f &R2, Eigen::Vector3f &t); // Keypoints from Reference Frame (Frame 1) std::vector mvKeys1; // Keypoints from Current Frame (Frame 2) std::vector mvKeys2; // Current Matches from Reference to Current std::vector mvMatches12; std::vector mvbMatched1; // Calibration Eigen::Matrix3f mK; // Standard Deviation and Variance float mSigma, mSigma2; // Ransac max iterations int mMaxIterations; // Ransac sets std::vector > mvSets; }; } //namespace ORB_SLAM #endif // TwoViewReconstruction_H