ROS2-ORB-SLAM3/include/TwoViewReconstruction.h

/**
* This file is part of ORB-SLAM3
*
* Copyright (C) 2017-2020 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 <http://www.gnu.org/licenses/>.
*/

#ifndef TwoViewReconstruction_H
#define TwoViewReconstruction_H

#include<opencv2/opencv.hpp>

#include <unordered_set>

namespace ORB_SLAM3
{

class TwoViewReconstruction
{
    typedef std::pair<int,int> Match;

public:

    // Fix the reference frame
    TwoViewReconstruction(cv::Mat& 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<cv::KeyPoint>& vKeys1, const std::vector<cv::KeyPoint>& vKeys2, const std::vector<int> &vMatches12,
                    cv::Mat &R21, cv::Mat &t21, std::vector<cv::Point3f> &vP3D, std::vector<bool> &vbTriangulated);

private:

    void FindHomography(std::vector<bool> &vbMatchesInliers, float &score, cv::Mat &H21);
    void FindFundamental(std::vector<bool> &vbInliers, float &score, cv::Mat &F21);

    cv::Mat ComputeH21(const std::vector<cv::Point2f> &vP1, const std::vector<cv::Point2f> &vP2);
    cv::Mat ComputeF21(const std::vector<cv::Point2f> &vP1, const std::vector<cv::Point2f> &vP2);

    float CheckHomography(const cv::Mat &H21, const cv::Mat &H12, std::vector<bool> &vbMatchesInliers, float sigma);

    float CheckFundamental(const cv::Mat &F21, std::vector<bool> &vbMatchesInliers, float sigma);

    bool ReconstructF(std::vector<bool> &vbMatchesInliers, cv::Mat &F21, cv::Mat &K,
                      cv::Mat &R21, cv::Mat &t21, std::vector<cv::Point3f> &vP3D, std::vector<bool> &vbTriangulated, float minParallax, int minTriangulated);

    bool ReconstructH(std::vector<bool> &vbMatchesInliers, cv::Mat &H21, cv::Mat &K,
                      cv::Mat &R21, cv::Mat &t21, std::vector<cv::Point3f> &vP3D,std:: vector<bool> &vbTriangulated, float minParallax, int minTriangulated);

    void Triangulate(const cv::KeyPoint &kp1, const cv::KeyPoint &kp2, const cv::Mat &P1, const cv::Mat &P2, cv::Mat &x3D);

    void Normalize(const std::vector<cv::KeyPoint> &vKeys, std::vector<cv::Point2f> &vNormalizedPoints, cv::Mat &T);


    int CheckRT(const cv::Mat &R, const cv::Mat &t, const std::vector<cv::KeyPoint> &vKeys1, const std::vector<cv::KeyPoint> &vKeys2,
                       const std::vector<Match> &vMatches12, std::vector<bool> &vbInliers,
                       const cv::Mat &K, std::vector<cv::Point3f> &vP3D, float th2, std::vector<bool> &vbGood, float &parallax);

    void DecomposeE(const cv::Mat &E, cv::Mat &R1, cv::Mat &R2, cv::Mat &t);


    // Keypoints from Reference Frame (Frame 1)
    std::vector<cv::KeyPoint> mvKeys1;

    // Keypoints from Current Frame (Frame 2)
    std::vector<cv::KeyPoint> mvKeys2;

    // Current Matches from Reference to Current
    std::vector<Match> mvMatches12;
    std::vector<bool> mvbMatched1;

    // Calibration
    cv::Mat mK;

    // Standard Deviation and Variance
    float mSigma, mSigma2;

    // Ransac max iterations
    int mMaxIterations;

    // Ransac sets
    std::vector<std::vector<size_t> > mvSets;

};

} //namespace ORB_SLAM

#endif // TwoViewReconstruction_H