XTDrone/sensing/slam/vslam/ORB_SLAM2/include/Sim3Solver.h

134 lines
3.3 KiB
C++

/**
* This file is part of ORB-SLAM2.
*
* Copyright (C) 2014-2016 Raúl Mur-Artal <raulmur at unizar dot es> (University of Zaragoza)
* For more information see <https://github.com/raulmur/ORB_SLAM2>
*
* ORB-SLAM2 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-SLAM2 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-SLAM2. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef SIM3SOLVER_H
#define SIM3SOLVER_H
#include <opencv2/opencv.hpp>
#include <vector>
#include "KeyFrame.h"
namespace ORB_SLAM2
{
class Sim3Solver
{
public:
Sim3Solver(KeyFrame* pKF1, KeyFrame* pKF2, const std::vector<MapPoint*> &vpMatched12, const bool bFixScale = true);
void SetRansacParameters(double probability = 0.99, int minInliers = 6 , int maxIterations = 300);
cv::Mat find(std::vector<bool> &vbInliers12, int &nInliers);
cv::Mat iterate(int nIterations, bool &bNoMore, std::vector<bool> &vbInliers, int &nInliers);
cv::Mat GetEstimatedRotation();
cv::Mat GetEstimatedTranslation();
float GetEstimatedScale();
protected:
void ComputeCentroid(cv::Mat &P, cv::Mat &Pr, cv::Mat &C);
void ComputeSim3(cv::Mat &P1, cv::Mat &P2);
void CheckInliers();
void Project(const std::vector<cv::Mat> &vP3Dw, std::vector<cv::Mat> &vP2D, cv::Mat Tcw, cv::Mat K);
void FromCameraToImage(const std::vector<cv::Mat> &vP3Dc, std::vector<cv::Mat> &vP2D, cv::Mat K);
protected:
// KeyFrames and matches
KeyFrame* mpKF1;
KeyFrame* mpKF2;
std::vector<cv::Mat> mvX3Dc1;
std::vector<cv::Mat> mvX3Dc2;
std::vector<MapPoint*> mvpMapPoints1;
std::vector<MapPoint*> mvpMapPoints2;
std::vector<MapPoint*> mvpMatches12;
std::vector<size_t> mvnIndices1;
std::vector<size_t> mvSigmaSquare1;
std::vector<size_t> mvSigmaSquare2;
std::vector<size_t> mvnMaxError1;
std::vector<size_t> mvnMaxError2;
int N;
int mN1;
// Current Estimation
cv::Mat mR12i;
cv::Mat mt12i;
float ms12i;
cv::Mat mT12i;
cv::Mat mT21i;
std::vector<bool> mvbInliersi;
int mnInliersi;
// Current Ransac State
int mnIterations;
std::vector<bool> mvbBestInliers;
int mnBestInliers;
cv::Mat mBestT12;
cv::Mat mBestRotation;
cv::Mat mBestTranslation;
float mBestScale;
// Scale is fixed to 1 in the stereo/RGBD case
bool mbFixScale;
// Indices for random selection
std::vector<size_t> mvAllIndices;
// Projections
std::vector<cv::Mat> mvP1im1;
std::vector<cv::Mat> mvP2im2;
// RANSAC probability
double mRansacProb;
// RANSAC min inliers
int mRansacMinInliers;
// RANSAC max iterations
int mRansacMaxIts;
// Threshold inlier/outlier. e = dist(Pi,T_ij*Pj)^2 < 5.991*mSigma2
float mTh;
float mSigma2;
// Calibration
cv::Mat mK1;
cv::Mat mK2;
};
} //namespace ORB_SLAM
#endif // SIM3SOLVER_H