修改回环bug
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0b0f2d49ed
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5d57b1d807
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@ -57,7 +57,7 @@ Viewer.PointSize: 2.0
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Viewer.CameraSize: 0.7
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Viewer.CameraSize: 0.7
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Viewer.CameraLineWidth: 3.0
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Viewer.CameraLineWidth: 3.0
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Viewer.ViewpointX: 0.0
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Viewer.ViewpointX: 0.0
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Viewer.ViewpointY: -100
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Viewer.ViewpointY: -100.0
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Viewer.ViewpointZ: -0.1
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Viewer.ViewpointZ: -0.1
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Viewer.ViewpointF: 2000.0
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Viewer.ViewpointF: 2000.0
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@ -180,7 +180,7 @@ protected:
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std::vector<KeyFrame*> mvpCurrentConnectedKFs;
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std::vector<KeyFrame*> mvpCurrentConnectedKFs;
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std::vector<MapPoint*> mvpCurrentMatchedPoints;
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std::vector<MapPoint*> mvpCurrentMatchedPoints;
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std::vector<MapPoint*> mvpLoopMapPoints;
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std::vector<MapPoint*> mvpLoopMapPoints;
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cv::Mat mScw;
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g2o::Sim3 mg2oScw;
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g2o::Sim3 mg2oScw;
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//-------
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//-------
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@ -323,9 +323,11 @@ bool KannalaBrandt8::epipolarConstrain(GeometricCamera *pCamera2, const cv::KeyP
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const Eigen::Matrix3f &R12, const Eigen::Vector3f &t12, const float sigmaLevel, const float unc)
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const Eigen::Matrix3f &R12, const Eigen::Vector3f &t12, const float sigmaLevel, const float unc)
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{
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{
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Eigen::Vector3f p3D;
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Eigen::Vector3f p3D;
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// 用三角化出点并验证的这个过程代替极线验证
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return this->TriangulateMatches(pCamera2, kp1, kp2, R12, t12, sigmaLevel, unc, p3D) > 0.0001f;
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return this->TriangulateMatches(pCamera2, kp1, kp2, R12, t12, sigmaLevel, unc, p3D) > 0.0001f;
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}
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}
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// 没用
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bool KannalaBrandt8::matchAndtriangulate(const cv::KeyPoint &kp1, const cv::KeyPoint &kp2, GeometricCamera *pOther,
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bool KannalaBrandt8::matchAndtriangulate(const cv::KeyPoint &kp1, const cv::KeyPoint &kp2, GeometricCamera *pOther,
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Sophus::SE3f &Tcw1, Sophus::SE3f &Tcw2,
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Sophus::SE3f &Tcw1, Sophus::SE3f &Tcw2,
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const float sigmaLevel1, const float sigmaLevel2,
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const float sigmaLevel1, const float sigmaLevel2,
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@ -439,7 +441,7 @@ float KannalaBrandt8::TriangulateMatches(
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const Eigen::Matrix3f &R12, const Eigen::Vector3f &t12, const float sigmaLevel,
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const Eigen::Matrix3f &R12, const Eigen::Vector3f &t12, const float sigmaLevel,
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const float unc, Eigen::Vector3f &p3D)
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const float unc, Eigen::Vector3f &p3D)
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{
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{
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// 1. 得到对应特征点的相平面坐标
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// 1. 得到对应特征点的归一化平面坐标
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Eigen::Vector3f r1 = this->unprojectEig(kp1.pt);
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Eigen::Vector3f r1 = this->unprojectEig(kp1.pt);
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Eigen::Vector3f r2 = pCamera2->unprojectEig(kp2.pt);
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Eigen::Vector3f r2 = pCamera2->unprojectEig(kp2.pt);
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@ -179,8 +179,8 @@ void LoopClosing::Run()
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// If inertial, force only yaw
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// If inertial, force only yaw
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// 如果是imu模式并且完成了初始化,强制将焊接变换的 roll 和 pitch 设为0
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// 如果是imu模式并且完成了初始化,强制将焊接变换的 roll 和 pitch 设为0
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// 通过物理约束来保证两个坐标轴都是水平的
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// 通过物理约束来保证两个坐标轴都是水平的
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if ((mpTracker->mSensor==System::IMU_MONOCULAR ||mpTracker->mSensor==System::IMU_STEREO) &&
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if ((mpTracker->mSensor==System::IMU_MONOCULAR || mpTracker->mSensor==System::IMU_STEREO || mpTracker->mSensor==System::IMU_RGBD) &&
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mpCurrentKF->GetMap()->GetIniertialBA1()) // TODO, maybe with GetIniertialBA1
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mpCurrentKF->GetMap()->GetIniertialBA1())
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{
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{
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Eigen::Vector3d phi = LogSO3(mSold_new.rotation().toRotationMatrix());
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Eigen::Vector3d phi = LogSO3(mSold_new.rotation().toRotationMatrix());
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phi(0)=0;
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phi(0)=0;
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@ -693,8 +693,7 @@ bool LoopClosing::DetectAndReffineSim3FromLastKF(KeyFrame* pCurrentKF, KeyFrame*
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if(numOptMatches > nProjOptMatches)
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if(numOptMatches > nProjOptMatches)
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{
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{
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//!bug, 以下gScw_estimation应该通过上述sim3优化后的位姿来更新。以下mScw应该改为 gscm * gswm^-1
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//!bug, 以下gScw_estimation应该通过上述sim3优化后的位姿来更新。以下mScw应该改为 gscm * gswm^-1
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g2o::Sim3 gScw_estimation(Converter::toMatrix3d(mScw.rowRange(0, 3).colRange(0, 3)),
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g2o::Sim3 gScw_estimation(gScw.rotation(), gScw.translation(),1.0);
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Converter::toVector3d(mScw.rowRange(0, 3).col(3)),1.0);
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vector<MapPoint*> vpMatchedMP;
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vector<MapPoint*> vpMatchedMP;
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vpMatchedMP.resize(mpCurrentKF->GetMapPointMatches().size(), static_cast<MapPoint*>(NULL));
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vpMatchedMP.resize(mpCurrentKF->GetMapPointMatches().size(), static_cast<MapPoint*>(NULL));
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1170
src/Settings.cc
1170
src/Settings.cc
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