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Optimizer.cc
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Optimizer.cc
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/**
* 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/>.
*/
#include "ORBSLAM/include/Optimizer.h"
#include "Thirdparty/g2o/g2o/core/block_solver.h"
#include "Thirdparty/g2o/g2o/core/optimization_algorithm_levenberg.h"
#include "Thirdparty/g2o/g2o/solvers/linear_solver_eigen.h"
#include "Thirdparty/g2o/g2o/types/types_six_dof_expmap.h"
#include "Thirdparty/g2o/g2o/core/robust_kernel_impl.h"
#include "Thirdparty/g2o/g2o/solvers/linear_solver_dense.h"
#include "Thirdparty/g2o/g2o/types/types_seven_dof_expmap.h"
#include<Eigen/StdVector>
#include "ORBSLAM/include/Converter.h"
#include "ORBSLAM/include/Camera.h"
#include<mutex>
namespace ORB_SLAM2
{
void Optimizer::GlobalBundleAdjustemnt(Map* pMap, int nIterations, bool* pbStopFlag, const unsigned long nLoopKF, const bool bRobust)
{
vector<KeyFrame*> vpKFs = pMap->GetAllKeyFrames();
vector<MapPoint*> vpMP = pMap->GetAllMapPoints();
BundleAdjustment(vpKFs,vpMP,nIterations,pbStopFlag, nLoopKF, bRobust);
}
void Optimizer::BundleAdjustment(const vector<KeyFrame *> &vpKFs, const vector<MapPoint *> &vpMP,
int nIterations, bool* pbStopFlag, const unsigned long nLoopKF, const bool bRobust)
{
vector<bool> vbNotIncludedMP;
vbNotIncludedMP.resize(vpMP.size());
g2o::SparseOptimizer optimizer;
g2o::BlockSolver_6_3::LinearSolverType * linearSolver;
linearSolver = new g2o::LinearSolverEigen<g2o::BlockSolver_6_3::PoseMatrixType>();
g2o::BlockSolver_6_3 * solver_ptr = new g2o::BlockSolver_6_3(linearSolver);
g2o::OptimizationAlgorithmLevenberg* solver = new g2o::OptimizationAlgorithmLevenberg(solver_ptr);
optimizer.setAlgorithm(solver);
if(pbStopFlag)
optimizer.setForceStopFlag(pbStopFlag);
long unsigned int maxKFid = 0;
// Set KeyFrame vertices
for(size_t i=0; i<vpKFs.size(); i++)
{
KeyFrame* pKF = vpKFs[i];
if(pKF->isBad())
continue;
g2o::VertexSE3Expmap * vSE3 = new g2o::VertexSE3Expmap();
vSE3->setEstimate(Converter::toSE3Quat(pKF->GetPose()));
vSE3->setId(pKF->mnId);
vSE3->setFixed(pKF->mnId==0);
optimizer.addVertex(vSE3);
if(pKF->mnId>maxKFid)
maxKFid=pKF->mnId;
}
const float thHuber2D = sqrt(5.99);
const float thHuber3D = sqrt(7.815);
// Set MapPoint vertices
for(size_t i=0; i<vpMP.size(); i++)
{
MapPoint* pMP = vpMP[i];
if(pMP->isBad())
continue;
g2o::VertexSBAPointXYZ* vPoint = new g2o::VertexSBAPointXYZ();
vPoint->setEstimate(Converter::toVector3d(pMP->GetWorldPos()));
const int id = pMP->mnId+maxKFid+1;
vPoint->setId(id);
vPoint->setMarginalized(true);
optimizer.addVertex(vPoint);
const map<KeyFrame*,size_t> observations = pMP->GetObservations();
int nEdges = 0;
//SET EDGES
for(map<KeyFrame*,size_t>::const_iterator mit=observations.begin(); mit!=observations.end(); mit++)
{
KeyFrame* pKF = mit->first;
if(pKF->isBad() || pKF->mnId>maxKFid)
continue;
nEdges++;
const cv::KeyPoint &kpUn = pKF->mvKeysUn[mit->second];
if(pKF->mvuRight[mit->second]<0)
{
Eigen::Matrix<double,2,1> obs;
obs << kpUn.pt.x, kpUn.pt.y;
g2o::EdgeSE3ProjectXYZ* e = new g2o::EdgeSE3ProjectXYZ();
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(id)));
e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(pKF->mnId)));
e->setMeasurement(obs);
const float &invSigma2 = pKF->mvInvLevelSigma2[kpUn.octave];
e->setInformation(Eigen::Matrix2d::Identity()*invSigma2);
if(bRobust)
{
g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
e->setRobustKernel(rk);
rk->setDelta(thHuber2D);
}
e->fx = Camera::fx;
e->fy = Camera::fy;
e->cx = Camera::cx;
e->cy = Camera::cy;
optimizer.addEdge(e);
}
else
{
Eigen::Matrix<double,3,1> obs;
const float kp_ur = pKF->mvuRight[mit->second];
obs << kpUn.pt.x, kpUn.pt.y, kp_ur;
g2o::EdgeStereoSE3ProjectXYZ* e = new g2o::EdgeStereoSE3ProjectXYZ();
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(id)));
e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(pKF->mnId)));
e->setMeasurement(obs);
const float &invSigma2 = pKF->mvInvLevelSigma2[kpUn.octave];
Eigen::Matrix3d Info = Eigen::Matrix3d::Identity()*invSigma2;
e->setInformation(Info);
if(bRobust)
{
g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
e->setRobustKernel(rk);
rk->setDelta(thHuber3D);
}
e->fx = Camera::fx;
e->fy = Camera::fy;
e->cx = Camera::cx;
e->cy = Camera::cy;
e->bf = Camera::bf;
optimizer.addEdge(e);
}
}
if(nEdges==0)
{
optimizer.removeVertex(vPoint);
vbNotIncludedMP[i]=true;
}
else
{
vbNotIncludedMP[i]=false;
}
}
// Optimize!
optimizer.initializeOptimization();
optimizer.optimize(nIterations);
// Recover optimized data
//Keyframes
for(size_t i=0; i<vpKFs.size(); i++)
{
KeyFrame* pKF = vpKFs[i];
if(pKF->isBad())
continue;
g2o::VertexSE3Expmap* vSE3 = static_cast<g2o::VertexSE3Expmap*>(optimizer.vertex(pKF->mnId));
g2o::SE3Quat SE3quat = vSE3->estimate();
if(nLoopKF==0)
{
pKF->SetPose(Converter::toCvMat(SE3quat));
}
else
{
pKF->mTcwGBA.create(4,4,CV_32F);
Converter::toCvMat(SE3quat).copyTo(pKF->mTcwGBA);
pKF->mnBAGlobalForKF = nLoopKF;
}
}
//Points
for(size_t i=0; i<vpMP.size(); i++)
{
if(vbNotIncludedMP[i])
continue;
MapPoint* pMP = vpMP[i];
if(pMP->isBad())
continue;
g2o::VertexSBAPointXYZ* vPoint = static_cast<g2o::VertexSBAPointXYZ*>(optimizer.vertex(pMP->mnId+maxKFid+1));
if(nLoopKF==0)
{
pMP->SetWorldPos(Converter::toCvMat(vPoint->estimate()));
pMP->UpdateNormalAndDepth();
}
else
{
pMP->mPosGBA.create(3,1,CV_32F);
Converter::toCvMat(vPoint->estimate()).copyTo(pMP->mPosGBA);
pMP->mnBAGlobalForKF = nLoopKF;
}
}
}
int Optimizer::PoseOptimization(Frame *pFrame)
{
g2o::SparseOptimizer optimizer;
g2o::BlockSolver_6_3::LinearSolverType * linearSolver;
linearSolver = new g2o::LinearSolverDense<g2o::BlockSolver_6_3::PoseMatrixType>();
g2o::BlockSolver_6_3 * solver_ptr = new g2o::BlockSolver_6_3(linearSolver);
g2o::OptimizationAlgorithmLevenberg* solver = new g2o::OptimizationAlgorithmLevenberg(solver_ptr);
optimizer.setAlgorithm(solver);
int nInitialCorrespondences=0;
// Set Frame vertex
g2o::VertexSE3Expmap * vSE3 = new g2o::VertexSE3Expmap();
vSE3->setEstimate(Converter::toSE3Quat(pFrame->mTcw));
vSE3->setId(0);
vSE3->setFixed(false);
optimizer.addVertex(vSE3);
// Set MapPoint vertices
const int N = pFrame->N;
vector<g2o::EdgeSE3ProjectXYZOnlyPose*> vpEdgesMono;
vector<size_t> vnIndexEdgeMono;
vpEdgesMono.reserve(N);
vnIndexEdgeMono.reserve(N);
vector<g2o::EdgeStereoSE3ProjectXYZOnlyPose*> vpEdgesStereo;
vector<size_t> vnIndexEdgeStereo;
vpEdgesStereo.reserve(N);
vnIndexEdgeStereo.reserve(N);
const float deltaMono = sqrt(5.991);
const float deltaStereo = sqrt(7.815);
{
unique_lock<mutex> lock(MapPoint::mGlobalMutex);
for(int i=0; i<N; i++)
{
MapPoint* pMP = pFrame->mvpMapPoints[i];
if(pMP)
{
// Monocular observation
if(pFrame->mvuRight[i]<0)
{
nInitialCorrespondences++;
pFrame->mvbOutlier[i] = false;
Eigen::Matrix<double,2,1> obs;
const cv::KeyPoint &kpUn = pFrame->mvKeysUn[i];
obs << kpUn.pt.x, kpUn.pt.y;
g2o::EdgeSE3ProjectXYZOnlyPose* e = new g2o::EdgeSE3ProjectXYZOnlyPose();
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(0)));
e->setMeasurement(obs);
const float invSigma2 = pFrame->mvInvLevelSigma2[kpUn.octave];
e->setInformation(Eigen::Matrix2d::Identity()*invSigma2);
g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
e->setRobustKernel(rk);
rk->setDelta(deltaMono);
e->fx = Camera::fx;
e->fy = Camera::fy;
e->cx = Camera::cx;
e->cy = Camera::cy;
cv::Mat Xw = pMP->GetWorldPos();
e->Xw[0] = Xw.at<float>(0);
e->Xw[1] = Xw.at<float>(1);
e->Xw[2] = Xw.at<float>(2);
optimizer.addEdge(e);
vpEdgesMono.push_back(e);
vnIndexEdgeMono.push_back(i);
}
else // Stereo observation
{
nInitialCorrespondences++;
pFrame->mvbOutlier[i] = false;
//SET EDGE
Eigen::Matrix<double,3,1> obs;
const cv::KeyPoint &kpUn = pFrame->mvKeysUn[i];
const float &kp_ur = pFrame->mvuRight[i];
obs << kpUn.pt.x, kpUn.pt.y, kp_ur;
g2o::EdgeStereoSE3ProjectXYZOnlyPose* e = new g2o::EdgeStereoSE3ProjectXYZOnlyPose();
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(0)));
e->setMeasurement(obs);
const float invSigma2 = pFrame->mvInvLevelSigma2[kpUn.octave];
Eigen::Matrix3d Info = Eigen::Matrix3d::Identity()*invSigma2;
e->setInformation(Info);
g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
e->setRobustKernel(rk);
rk->setDelta(deltaStereo);
e->fx = Camera::fx;
e->fy = Camera::fy;
e->cx = Camera::cx;
e->cy = Camera::cy;
e->bf = Camera::bf;
cv::Mat Xw = pMP->GetWorldPos();
e->Xw[0] = Xw.at<float>(0);
e->Xw[1] = Xw.at<float>(1);
e->Xw[2] = Xw.at<float>(2);
optimizer.addEdge(e);
vpEdgesStereo.push_back(e);
vnIndexEdgeStereo.push_back(i);
}
}
}
}
if(nInitialCorrespondences<3)
return 0;
// We perform 4 optimizations, after each optimization we classify observation as inlier/outlier
// At the next optimization, outliers are not included, but at the end they can be classified as inliers again.
const float chi2Mono[4]={5.991,5.991,5.991,5.991};
const float chi2Stereo[4]={7.815,7.815,7.815, 7.815};
const int its[4]={10,10,10,10};
int nBad=0;
for(size_t it=0; it<4; it++)
{
vSE3->setEstimate(Converter::toSE3Quat(pFrame->mTcw));
optimizer.initializeOptimization(0);
optimizer.optimize(its[it]);
nBad=0;
for(size_t i=0, iend=vpEdgesMono.size(); i<iend; i++)
{
g2o::EdgeSE3ProjectXYZOnlyPose* e = vpEdgesMono[i];
const size_t idx = vnIndexEdgeMono[i];
if(pFrame->mvbOutlier[idx])
{
e->computeError();
}
const float chi2 = e->chi2();
if(chi2>chi2Mono[it])
{
pFrame->mvbOutlier[idx]=true;
e->setLevel(1);
nBad++;
}
else
{
pFrame->mvbOutlier[idx]=false;
e->setLevel(0);
}
if(it==2)
e->setRobustKernel(0);
}
for(size_t i=0, iend=vpEdgesStereo.size(); i<iend; i++)
{
g2o::EdgeStereoSE3ProjectXYZOnlyPose* e = vpEdgesStereo[i];
const size_t idx = vnIndexEdgeStereo[i];
if(pFrame->mvbOutlier[idx])
{
e->computeError();
}
const float chi2 = e->chi2();
if(chi2>chi2Stereo[it])
{
pFrame->mvbOutlier[idx]=true;
e->setLevel(1);
nBad++;
}
else
{
e->setLevel(0);
pFrame->mvbOutlier[idx]=false;
}
if(it==2)
e->setRobustKernel(0);
}
if(optimizer.edges().size()<10)
break;
}
// Recover optimized pose and return number of inliers
g2o::VertexSE3Expmap* vSE3_recov = static_cast<g2o::VertexSE3Expmap*>(optimizer.vertex(0));
g2o::SE3Quat SE3quat_recov = vSE3_recov->estimate();
cv::Mat pose = Converter::toCvMat(SE3quat_recov);
pFrame->SetPose(pose);
return nInitialCorrespondences-nBad;
}
void Optimizer::LocalBundleAdjustment(KeyFrame *pKF, bool* pbStopFlag, Map* pMap)
{
// Local KeyFrames: First Breath Search from Current Keyframe
list<KeyFrame*> lLocalKeyFrames;
lLocalKeyFrames.push_back(pKF);
pKF->mnBALocalForKF = pKF->mnId;
const vector<KeyFrame*> vNeighKFs = pKF->GetVectorCovisibleKeyFrames();
for(int i=0, iend=vNeighKFs.size(); i<iend; i++)
{
KeyFrame* pKFi = vNeighKFs[i];
pKFi->mnBALocalForKF = pKF->mnId;
if(!pKFi->isBad())
lLocalKeyFrames.push_back(pKFi);
}
// Local MapPoints seen in Local KeyFrames
list<MapPoint*> lLocalMapPoints;
for(list<KeyFrame*>::iterator lit=lLocalKeyFrames.begin() , lend=lLocalKeyFrames.end(); lit!=lend; lit++)
{
vector<MapPoint*> vpMPs = (*lit)->GetMapPointMatches();
for(vector<MapPoint*>::iterator vit=vpMPs.begin(), vend=vpMPs.end(); vit!=vend; vit++)
{
MapPoint* pMP = *vit;
if(pMP)
if(!pMP->isBad())
if(pMP->mnBALocalForKF!=pKF->mnId)
{
lLocalMapPoints.push_back(pMP);
pMP->mnBALocalForKF=pKF->mnId;
}
}
}
// Fixed Keyframes. Keyframes that see Local MapPoints but that are not Local Keyframes
list<KeyFrame*> lFixedCameras;
for(list<MapPoint*>::iterator lit=lLocalMapPoints.begin(), lend=lLocalMapPoints.end(); lit!=lend; lit++)
{
map<KeyFrame*,size_t> observations = (*lit)->GetObservations();
for(map<KeyFrame*,size_t>::iterator mit=observations.begin(), mend=observations.end(); mit!=mend; mit++)
{
KeyFrame* pKFi = mit->first;
if(pKFi->mnBALocalForKF!=pKF->mnId && pKFi->mnBAFixedForKF!=pKF->mnId)
{
pKFi->mnBAFixedForKF=pKF->mnId;
if(!pKFi->isBad())
lFixedCameras.push_back(pKFi);
}
}
}
// Setup optimizer
g2o::SparseOptimizer optimizer;
g2o::BlockSolver_6_3::LinearSolverType * linearSolver;
linearSolver = new g2o::LinearSolverEigen<g2o::BlockSolver_6_3::PoseMatrixType>();
g2o::BlockSolver_6_3 * solver_ptr = new g2o::BlockSolver_6_3(linearSolver);
g2o::OptimizationAlgorithmLevenberg* solver = new g2o::OptimizationAlgorithmLevenberg(solver_ptr);
optimizer.setAlgorithm(solver);
if(pbStopFlag)
optimizer.setForceStopFlag(pbStopFlag);
unsigned long maxKFid = 0;
// Set Local KeyFrame vertices
for(list<KeyFrame*>::iterator lit=lLocalKeyFrames.begin(), lend=lLocalKeyFrames.end(); lit!=lend; lit++)
{
KeyFrame* pKFi = *lit;
g2o::VertexSE3Expmap * vSE3 = new g2o::VertexSE3Expmap();
vSE3->setEstimate(Converter::toSE3Quat(pKFi->GetPose()));
vSE3->setId(pKFi->mnId);
vSE3->setFixed(pKFi->mnId==0);
optimizer.addVertex(vSE3);
if(pKFi->mnId>maxKFid)
maxKFid=pKFi->mnId;
}
// Set Fixed KeyFrame vertices
for(list<KeyFrame*>::iterator lit=lFixedCameras.begin(), lend=lFixedCameras.end(); lit!=lend; lit++)
{
KeyFrame* pKFi = *lit;
g2o::VertexSE3Expmap * vSE3 = new g2o::VertexSE3Expmap();
vSE3->setEstimate(Converter::toSE3Quat(pKFi->GetPose()));
vSE3->setId(pKFi->mnId);
vSE3->setFixed(true);
optimizer.addVertex(vSE3);
if(pKFi->mnId>maxKFid)
maxKFid=pKFi->mnId;
}
// Set MapPoint vertices
const int nExpectedSize = (lLocalKeyFrames.size()+lFixedCameras.size())*lLocalMapPoints.size();
vector<g2o::EdgeSE3ProjectXYZ*> vpEdgesMono;
vpEdgesMono.reserve(nExpectedSize);
vector<KeyFrame*> vpEdgeKFMono;
vpEdgeKFMono.reserve(nExpectedSize);
vector<MapPoint*> vpMapPointEdgeMono;
vpMapPointEdgeMono.reserve(nExpectedSize);
vector<g2o::EdgeStereoSE3ProjectXYZ*> vpEdgesStereo;
vpEdgesStereo.reserve(nExpectedSize);
vector<KeyFrame*> vpEdgeKFStereo;
vpEdgeKFStereo.reserve(nExpectedSize);
vector<MapPoint*> vpMapPointEdgeStereo;
vpMapPointEdgeStereo.reserve(nExpectedSize);
const float thHuberMono = sqrt(5.991);
const float thHuberStereo = sqrt(7.815);
for(list<MapPoint*>::iterator lit=lLocalMapPoints.begin(), lend=lLocalMapPoints.end(); lit!=lend; lit++)
{
MapPoint* pMP = *lit;
g2o::VertexSBAPointXYZ* vPoint = new g2o::VertexSBAPointXYZ();
vPoint->setEstimate(Converter::toVector3d(pMP->GetWorldPos()));
int id = pMP->mnId+maxKFid+1;
vPoint->setId(id);
vPoint->setMarginalized(true);
optimizer.addVertex(vPoint);
const map<KeyFrame*,size_t> observations = pMP->GetObservations();
//Set edges
for(map<KeyFrame*,size_t>::const_iterator mit=observations.begin(), mend=observations.end(); mit!=mend; mit++)
{
KeyFrame* pKFi = mit->first;
if(!pKFi->isBad())
{
const cv::KeyPoint &kpUn = pKFi->mvKeysUn[mit->second];
// Monocular observation
if(pKFi->mvuRight[mit->second]<0)
{
Eigen::Matrix<double,2,1> obs;
obs << kpUn.pt.x, kpUn.pt.y;
g2o::EdgeSE3ProjectXYZ* e = new g2o::EdgeSE3ProjectXYZ();
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(id)));
e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(pKFi->mnId)));
e->setMeasurement(obs);
const float &invSigma2 = pKFi->mvInvLevelSigma2[kpUn.octave];
e->setInformation(Eigen::Matrix2d::Identity()*invSigma2);
g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
e->setRobustKernel(rk);
rk->setDelta(thHuberMono);
e->fx = Camera::fx;
e->fy = Camera::fy;
e->cx = Camera::cx;
e->cy = Camera::cy;
optimizer.addEdge(e);
vpEdgesMono.push_back(e);
vpEdgeKFMono.push_back(pKFi);
vpMapPointEdgeMono.push_back(pMP);
}
else // Stereo observation
{
Eigen::Matrix<double,3,1> obs;
const float kp_ur = pKFi->mvuRight[mit->second];
obs << kpUn.pt.x, kpUn.pt.y, kp_ur;
g2o::EdgeStereoSE3ProjectXYZ* e = new g2o::EdgeStereoSE3ProjectXYZ();
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(id)));
e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(pKFi->mnId)));
e->setMeasurement(obs);
const float &invSigma2 = pKFi->mvInvLevelSigma2[kpUn.octave];
Eigen::Matrix3d Info = Eigen::Matrix3d::Identity()*invSigma2;
e->setInformation(Info);
g2o::RobustKernelHuber* rk = new g2o::RobustKernelHuber;
e->setRobustKernel(rk);
rk->setDelta(thHuberStereo);
e->fx = Camera::fx;
e->fy = Camera::fy;
e->cx = Camera::cx;
e->cy = Camera::cy;
e->bf = Camera::bf;
optimizer.addEdge(e);
vpEdgesStereo.push_back(e);
vpEdgeKFStereo.push_back(pKFi);
vpMapPointEdgeStereo.push_back(pMP);
}
}
}
}
if(pbStopFlag)
if(*pbStopFlag)
return;
optimizer.initializeOptimization();
optimizer.optimize(5);
bool bDoMore= true;
if(pbStopFlag)
if(*pbStopFlag)
bDoMore = false;
if(bDoMore)
{
// Check inlier observations
for(size_t i=0, iend=vpEdgesMono.size(); i<iend;i++)
{
g2o::EdgeSE3ProjectXYZ* e = vpEdgesMono[i];
MapPoint* pMP = vpMapPointEdgeMono[i];
if(pMP->isBad())
continue;
if(e->chi2()>5.991 || !e->isDepthPositive())
{
e->setLevel(1);
}
e->setRobustKernel(0);
}
for(size_t i=0, iend=vpEdgesStereo.size(); i<iend;i++)
{
g2o::EdgeStereoSE3ProjectXYZ* e = vpEdgesStereo[i];
MapPoint* pMP = vpMapPointEdgeStereo[i];
if(pMP->isBad())
continue;
if(e->chi2()>7.815 || !e->isDepthPositive())
{
e->setLevel(1);
}
e->setRobustKernel(0);
}
// Optimize again without the outliers
optimizer.initializeOptimization(0);
optimizer.optimize(10);
}
vector<pair<KeyFrame*,MapPoint*> > vToErase;
vToErase.reserve(vpEdgesMono.size()+vpEdgesStereo.size());
// Check inlier observations
for(size_t i=0, iend=vpEdgesMono.size(); i<iend;i++)
{
g2o::EdgeSE3ProjectXYZ* e = vpEdgesMono[i];
MapPoint* pMP = vpMapPointEdgeMono[i];
if(pMP->isBad())
continue;
if(e->chi2()>5.991 || !e->isDepthPositive())
{
KeyFrame* pKFi = vpEdgeKFMono[i];
vToErase.push_back(make_pair(pKFi,pMP));
}
}
for(size_t i=0, iend=vpEdgesStereo.size(); i<iend;i++)
{
g2o::EdgeStereoSE3ProjectXYZ* e = vpEdgesStereo[i];
MapPoint* pMP = vpMapPointEdgeStereo[i];
if(pMP->isBad())
continue;
if(e->chi2()>7.815 || !e->isDepthPositive())
{
KeyFrame* pKFi = vpEdgeKFStereo[i];
vToErase.push_back(make_pair(pKFi,pMP));
}
}
// Get Map Mutex
unique_lock<mutex> lock(pMap->mMutexMapUpdate);
if(!vToErase.empty())
{
for(size_t i=0;i<vToErase.size();i++)
{
KeyFrame* pKFi = vToErase[i].first;
MapPoint* pMPi = vToErase[i].second;
pKFi->EraseMapPointMatch(pMPi);
pMPi->EraseObservation(pKFi);
}
}
// Recover optimized data
//Keyframes
for(list<KeyFrame*>::iterator lit=lLocalKeyFrames.begin(), lend=lLocalKeyFrames.end(); lit!=lend; lit++)
{
KeyFrame* pKF = *lit;
g2o::VertexSE3Expmap* vSE3 = static_cast<g2o::VertexSE3Expmap*>(optimizer.vertex(pKF->mnId));
g2o::SE3Quat SE3quat = vSE3->estimate();
pKF->SetPose(Converter::toCvMat(SE3quat));
}
//Points
for(list<MapPoint*>::iterator lit=lLocalMapPoints.begin(), lend=lLocalMapPoints.end(); lit!=lend; lit++)
{
MapPoint* pMP = *lit;
g2o::VertexSBAPointXYZ* vPoint = static_cast<g2o::VertexSBAPointXYZ*>(optimizer.vertex(pMP->mnId+maxKFid+1));
pMP->SetWorldPos(Converter::toCvMat(vPoint->estimate()));
pMP->UpdateNormalAndDepth();
}
}
void Optimizer::OptimizeEssentialGraph(Map* pMap, KeyFrame* pLoopKF, KeyFrame* pCurKF,
const LoopClosing::KeyFrameAndPose &NonCorrectedSim3,
const LoopClosing::KeyFrameAndPose &CorrectedSim3,
const map<KeyFrame *, set<KeyFrame *> > &LoopConnections, const bool &bFixScale)
{
// Setup optimizer
g2o::SparseOptimizer optimizer;
optimizer.setVerbose(false);
g2o::BlockSolver_7_3::LinearSolverType * linearSolver =
new g2o::LinearSolverEigen<g2o::BlockSolver_7_3::PoseMatrixType>();
g2o::BlockSolver_7_3 * solver_ptr= new g2o::BlockSolver_7_3(linearSolver);
g2o::OptimizationAlgorithmLevenberg* solver = new g2o::OptimizationAlgorithmLevenberg(solver_ptr);
solver->setUserLambdaInit(1e-16);
optimizer.setAlgorithm(solver);
const vector<KeyFrame*> vpKFs = pMap->GetAllKeyFrames();
const vector<MapPoint*> vpMPs = pMap->GetAllMapPoints();
const unsigned int nMaxKFid = pMap->GetMaxKFid();
vector<g2o::Sim3,Eigen::aligned_allocator<g2o::Sim3> > vScw(nMaxKFid+1);
vector<g2o::Sim3,Eigen::aligned_allocator<g2o::Sim3> > vCorrectedSwc(nMaxKFid+1);
vector<g2o::VertexSim3Expmap*> vpVertices(nMaxKFid+1);
const int minFeat = 100;
// Set KeyFrame vertices
for(size_t i=0, iend=vpKFs.size(); i<iend;i++)
{
KeyFrame* pKF = vpKFs[i];
if(pKF->isBad())
continue;
g2o::VertexSim3Expmap* VSim3 = new g2o::VertexSim3Expmap();
const int nIDi = pKF->mnId;
LoopClosing::KeyFrameAndPose::const_iterator it = CorrectedSim3.find(pKF);
if(it!=CorrectedSim3.end())
{
vScw[nIDi] = it->second;
VSim3->setEstimate(it->second);
}
else
{
Eigen::Matrix<double,3,3> Rcw = Converter::toMatrix3d(pKF->GetRotation());
Eigen::Matrix<double,3,1> tcw = Converter::toVector3d(pKF->GetTranslation());
g2o::Sim3 Siw(Rcw,tcw,1.0);
vScw[nIDi] = Siw;
VSim3->setEstimate(Siw);
}
if(pKF==pLoopKF)
VSim3->setFixed(true);
VSim3->setId(nIDi);
VSim3->setMarginalized(false);
VSim3->_fix_scale = bFixScale;
optimizer.addVertex(VSim3);
vpVertices[nIDi]=VSim3;
}
set<pair<long unsigned int,long unsigned int> > sInsertedEdges;
const Eigen::Matrix<double,7,7> matLambda = Eigen::Matrix<double,7,7>::Identity();
// Set Loop edges
for(map<KeyFrame *, set<KeyFrame *> >::const_iterator mit = LoopConnections.begin(), mend=LoopConnections.end(); mit!=mend; mit++)
{
KeyFrame* pKF = mit->first;
const long unsigned int nIDi = pKF->mnId;
const set<KeyFrame*> &spConnections = mit->second;
const g2o::Sim3 Siw = vScw[nIDi];
const g2o::Sim3 Swi = Siw.inverse();
for(set<KeyFrame*>::const_iterator sit=spConnections.begin(), send=spConnections.end(); sit!=send; sit++)
{
const long unsigned int nIDj = (*sit)->mnId;
if((nIDi!=pCurKF->mnId || nIDj!=pLoopKF->mnId) && pKF->GetWeight(*sit)<minFeat)
continue;
const g2o::Sim3 Sjw = vScw[nIDj];
const g2o::Sim3 Sji = Sjw * Swi;
g2o::EdgeSim3* e = new g2o::EdgeSim3();
e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(nIDj)));
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(nIDi)));
e->setMeasurement(Sji);
e->information() = matLambda;
optimizer.addEdge(e);
sInsertedEdges.insert(make_pair(min(nIDi,nIDj),max(nIDi,nIDj)));
}
}
// Set normal edges
for(size_t i=0, iend=vpKFs.size(); i<iend; i++)
{
KeyFrame* pKF = vpKFs[i];
const int nIDi = pKF->mnId;
g2o::Sim3 Swi;
LoopClosing::KeyFrameAndPose::const_iterator iti = NonCorrectedSim3.find(pKF);
if(iti!=NonCorrectedSim3.end())
Swi = (iti->second).inverse();
else
Swi = vScw[nIDi].inverse();
KeyFrame* pParentKF = pKF->GetParent();
// Spanning tree edge
if(pParentKF)
{
int nIDj = pParentKF->mnId;
g2o::Sim3 Sjw;
LoopClosing::KeyFrameAndPose::const_iterator itj = NonCorrectedSim3.find(pParentKF);
if(itj!=NonCorrectedSim3.end())
Sjw = itj->second;
else
Sjw = vScw[nIDj];
g2o::Sim3 Sji = Sjw * Swi;
g2o::EdgeSim3* e = new g2o::EdgeSim3();
e->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(nIDj)));
e->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(nIDi)));
e->setMeasurement(Sji);
e->information() = matLambda;
optimizer.addEdge(e);
}
// Loop edges
const set<KeyFrame*> sLoopEdges = pKF->GetLoopEdges();
for(set<KeyFrame*>::const_iterator sit=sLoopEdges.begin(), send=sLoopEdges.end(); sit!=send; sit++)
{
KeyFrame* pLKF = *sit;
if(pLKF->mnId<pKF->mnId)
{
g2o::Sim3 Slw;
LoopClosing::KeyFrameAndPose::const_iterator itl = NonCorrectedSim3.find(pLKF);
if(itl!=NonCorrectedSim3.end())
Slw = itl->second;
else
Slw = vScw[pLKF->mnId];
g2o::Sim3 Sli = Slw * Swi;
g2o::EdgeSim3* el = new g2o::EdgeSim3();
el->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(pLKF->mnId)));
el->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(nIDi)));
el->setMeasurement(Sli);
el->information() = matLambda;
optimizer.addEdge(el);
}
}
// Covisibility graph edges
const vector<KeyFrame*> vpConnectedKFs = pKF->GetCovisiblesByWeight(minFeat);
for(vector<KeyFrame*>::const_iterator vit=vpConnectedKFs.begin(); vit!=vpConnectedKFs.end(); vit++)
{
KeyFrame* pKFn = *vit;
if(pKFn && pKFn!=pParentKF && !pKF->hasChild(pKFn) && !sLoopEdges.count(pKFn))
{
if(!pKFn->isBad() && pKFn->mnId<pKF->mnId)
{
if(sInsertedEdges.count(make_pair(min(pKF->mnId,pKFn->mnId),max(pKF->mnId,pKFn->mnId))))
continue;
g2o::Sim3 Snw;
LoopClosing::KeyFrameAndPose::const_iterator itn = NonCorrectedSim3.find(pKFn);
if(itn!=NonCorrectedSim3.end())
Snw = itn->second;
else
Snw = vScw[pKFn->mnId];
g2o::Sim3 Sni = Snw * Swi;
g2o::EdgeSim3* en = new g2o::EdgeSim3();
en->setVertex(1, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(pKFn->mnId)));
en->setVertex(0, dynamic_cast<g2o::OptimizableGraph::Vertex*>(optimizer.vertex(nIDi)));
en->setMeasurement(Sni);
en->information() = matLambda;
optimizer.addEdge(en);
}
}
}
}
// Optimize!
optimizer.initializeOptimization();
optimizer.optimize(20);
unique_lock<mutex> lock(pMap->mMutexMapUpdate);
// SE3 Pose Recovering. Sim3:[sR t;0 1] -> SE3:[R t/s;0 1]
for(size_t i=0;i<vpKFs.size();i++)
{
KeyFrame* pKFi = vpKFs[i];
const int nIDi = pKFi->mnId;
g2o::VertexSim3Expmap* VSim3 = static_cast<g2o::VertexSim3Expmap*>(optimizer.vertex(nIDi));
g2o::Sim3 CorrectedSiw = VSim3->estimate();