moving to more appropriate construction of Hessian
parent
b3c828f8d2
commit
ec047ccd08
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@ -35,7 +35,10 @@ void SmartStereoProjectionFactorPP::add(
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w_P_body_keys_.push_back(w_P_body_key);
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body_P_cam_keys_.push_back(body_P_cam_key);
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keys_.push_back(body_P_cam_key);
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// pose keys are assumed to be unique (1 observation per time stamp), but calibration can be shared
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if(std::find(keys_.begin(), keys_.end(), body_P_cam_key) == keys_.end())
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keys_.push_back(body_P_cam_key); // add only unique keys
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K_all_.push_back(K);
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}
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@ -48,7 +51,9 @@ void SmartStereoProjectionFactorPP::add(
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assert(w_P_body_keys.size() == Ks.size());
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for (size_t i = 0; i < measurements.size(); i++) {
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Base::add(measurements[i], w_P_body_keys[i]);
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keys_.push_back(body_P_cam_keys[i]);
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// pose keys are assumed to be unique (1 observation per time stamp), but calibration can be shared
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if(std::find(keys_.begin(), keys_.end(), body_P_cam_keys[i]) == keys_.end())
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keys_.push_back(body_P_cam_keys[i]); // add only unique keys
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w_P_body_keys_.push_back(w_P_body_keys[i]);
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body_P_cam_keys_.push_back(body_P_cam_keys[i]);
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@ -65,7 +70,9 @@ void SmartStereoProjectionFactorPP::add(
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assert(w_P_body_keys.size() == body_P_cam_keys.size());
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for (size_t i = 0; i < measurements.size(); i++) {
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Base::add(measurements[i], w_P_body_keys[i]);
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keys_.push_back(body_P_cam_keys[i]);
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// pose keys are assumed to be unique (1 observation per time stamp), but calibration can be shared
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if(std::find(keys_.begin(), keys_.end(), body_P_cam_keys[i]) == keys_.end())
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keys_.push_back(body_P_cam_keys[i]); // add only unique keys
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w_P_body_keys_.push_back(w_P_body_keys[i]);
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body_P_cam_keys_.push_back(body_P_cam_keys[i]);
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@ -194,10 +194,6 @@ class SmartStereoProjectionFactorPP : public SmartStereoProjectionFactor {
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KeyVector allKeys; // includes body poses and *unique* extrinsic poses
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allKeys.insert(allKeys.end(), keys_.begin(), keys_.end());
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// KeyVector sorted_body_P_cam_keys(body_P_cam_keys_); // make a copy that we can edit
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// std::sort(sorted_body_P_cam_keys.begin(), sorted_body_P_cam_keys.end()); // required by unique
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// std::unique(sorted_body_P_cam_keys.begin(), sorted_body_P_cam_keys.end());
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// allKeys.insert(allKeys.end(), sorted_body_P_cam_keys.begin(), sorted_body_P_cam_keys.end());
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size_t numKeys = allKeys.size();
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// Create structures for Hessian Factors
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@ -225,6 +221,7 @@ class SmartStereoProjectionFactorPP : public SmartStereoProjectionFactor {
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return boost::make_shared<RegularHessianFactor<DimPose> >(allKeys,
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Gs, gs, 0.0);
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}
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// std::cout << "result_" << *result_ << std::endl;
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// std::cout << "result_2" << result_ << std::endl;
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// Jacobian could be 3D Point3 OR 2D Unit3, difference is E.cols().
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@ -260,14 +257,46 @@ class SmartStereoProjectionFactorPP : public SmartStereoProjectionFactor {
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SymmetricBlockMatrix augmentedHessian = //
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Cameras::SchurComplement<3,Dim>(Fs, E, P, b);
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// KeyVector sorted_body_P_cam_keys(body_P_cam_keys_); // make a copy that we can edit
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// std::sort(sorted_body_P_cam_keys.begin(), sorted_body_P_cam_keys.end()); // required by unique
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// std::unique(sorted_body_P_cam_keys.begin(), sorted_body_P_cam_keys.end());
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// allKeys.insert(allKeys.end(), sorted_body_P_cam_keys.begin(), sorted_body_P_cam_keys.end());
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std::vector<DenseIndex> dims(numKeys + 1); // this also includes the b term
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std::fill(dims.begin(), dims.end() - 1, 6);
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dims.back() = 1;
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SymmetricBlockMatrix augmentedHessianPP(dims, Matrix(augmentedHessian.selfadjointView()));
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//std::cout << "Matrix(augmentedHessian.selfadjointView()) \n" << Matrix(augmentedHessian.selfadjointView()) <<std::endl;
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size_t nrKeysNonUnique = w_P_body_keys_.size() + body_P_cam_keys_.size();
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if ( numKeys == nrKeysNonUnique ){ // 1 calibration per camera
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SymmetricBlockMatrix augmentedHessianPP = SymmetricBlockMatrix(dims, Matrix(augmentedHessian.selfadjointView()));
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return boost::make_shared<RegularHessianFactor<DimPose> >(allKeys,
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augmentedHessianPP);
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}else{
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Matrix augmentedHessianMatrixPP = Matrix(augmentedHessian.selfadjointView());
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Matrix associationMatrix = Matrix::Zero( numKeys, nrKeysNonUnique ); // association from unique keys to vector with potentially repeated keys
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std::cout << "Linearize" << std::endl;
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return boost::make_shared<RegularHessianFactor<DimPose> >(allKeys,
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augmentedHessianPP);
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for(size_t i=0; i<numKeys;i++){
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for(size_t j=0; j<nrKeysNonUnique;k++){
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if ( keys_[i] == )
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// std::cout <<"key: " << DefaultKeyFormatter(allKeys[i]) << std::endl;
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}
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}
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for (size_t i=0; i < w_P_body_keys_.size() + body_P_cam_keys_.size(); i++){
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// create map of unique keys
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}
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std::vector<Matrix> Gs(numKeys * (numKeys + 1) / 2);
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std::vector<Vector> gs(numKeys);
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for(Matrix& m: Gs)
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m = Matrix::Zero(DimPose,DimPose);
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for(Vector& v: gs)
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v = Vector::Zero(DimPose);
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double e = augmentedHessianMatrixPP( augmentedHessianMatrixPP.rows()-1, augmentedHessianMatrixPP.cols()-1 );
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return boost::make_shared<RegularHessianFactor<DimPose> >(allKeys,
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Gs, gs, e);
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}
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//std::cout << "Matrix(augmentedHessian.selfadjointView()) \n" << Matrix(augmentedHessian.selfadjointView()) <<std::endl;
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}
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/**
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