Switched to isotropic
parent
51fc68b4f7
commit
ac16b7e1d4
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@ -97,17 +97,32 @@ public:
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virtual ~SmartFactorBase() {
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}
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// check that noise model is isotropic and the same
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void maybeSetNoiseModel(const SharedNoiseModel& sharedNoiseModel) {
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if (!sharedNoiseModel)
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return;
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SharedIsotropic sharedIsotropic = boost::dynamic_pointer_cast<
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noiseModel::Isotropic>(sharedNoiseModel);
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if (!sharedIsotropic)
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throw std::runtime_error("SmartFactorBase: needs isotropic");
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if (!noiseModel_)
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noiseModel_ = sharedIsotropic;
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else if (!sharedIsotropic->equals(*noiseModel_))
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throw std::runtime_error(
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"SmartFactorBase: cannot add measurements with different noise model");
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}
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/**
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* Add a new measurement and pose key
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* @param measured_i is the 2m dimensional projection of a single landmark
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* @param poseKey is the index corresponding to the camera observing the landmark
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* @param noise_i is the measurement noise
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* @param sharedNoiseModel is the measurement noise
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*/
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void add(const Z& measured_i, const Key& poseKey_i,
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const SharedNoiseModel& noise_i) {
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const SharedNoiseModel& sharedNoiseModel) {
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this->measured_.push_back(measured_i);
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this->keys_.push_back(poseKey_i);
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this->noise_.push_back(noise_i);
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maybeSetNoiseModel(sharedNoiseModel);
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}
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/**
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@ -118,7 +133,7 @@ public:
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for (size_t i = 0; i < measurements.size(); i++) {
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this->measured_.push_back(measurements.at(i));
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this->keys_.push_back(poseKeys.at(i));
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this->noise_.push_back(noises.at(i));
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maybeSetNoiseModel(noises.at(i));
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}
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}
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@ -130,7 +145,7 @@ public:
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for (size_t i = 0; i < measurements.size(); i++) {
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this->measured_.push_back(measurements.at(i));
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this->keys_.push_back(poseKeys.at(i));
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this->noise_.push_back(noise);
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maybeSetNoiseModel(noise);
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}
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}
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@ -143,7 +158,7 @@ public:
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for (size_t k = 0; k < trackToAdd.number_measurements(); k++) {
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this->measured_.push_back(trackToAdd.measurements[k].second);
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this->keys_.push_back(trackToAdd.measurements[k].first);
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this->noise_.push_back(noise);
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maybeSetNoiseModel(noise);
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}
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}
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@ -223,7 +238,7 @@ public:
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Vector b = reprojectionError(cameras, point);
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size_t nrCameras = cameras.size();
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for (size_t i = 0, row = 0; i < nrCameras; i++, row += ZDim)
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b.segment<ZDim>(row) = noise_.at(i)->whiten(b.segment<ZDim>(row));
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b.segment<ZDim>(row) = noiseModel_->whiten(b.segment<ZDim>(row));
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return b;
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}
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@ -240,7 +255,7 @@ public:
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double overallError = 0;
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size_t nrCameras = cameras.size();
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for (size_t i = 0; i < nrCameras; i++)
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overallError += noise_.at(i)->distance(b.segment<ZDim>(i * ZDim));
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overallError += noiseModel_->distance(b.segment<ZDim>(i * ZDim));
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return 0.5 * overallError;
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}
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@ -272,7 +287,7 @@ public:
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Vector bi = (zi - predicted[i]).vector();
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// if needed, whiten
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SharedNoiseModel model = noise_.at(i);
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SharedNoiseModel model = noiseModel_;
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if (model) {
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// TODO: re-factor noiseModel to take any block/fixed vector/matrix
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Vector dummy;
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@ -325,16 +340,15 @@ public:
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}
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// if needed, whiten
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SharedNoiseModel model = noise_.at(i);
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if (model) {
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if (noiseModel_) {
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// TODO, refactor noiseModel so we can take blocks
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Matrix Fi = F.block<ZDim, 6>(row, 0);
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Matrix Ei = E.block<ZDim, 3>(row, 0);
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if (!G)
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model->WhitenSystem(Fi, Ei, bi);
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noiseModel_->WhitenSystem(Fi, Ei, bi);
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else {
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Matrix Gi = G->block<ZDim, D - 6>(row, 0);
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model->WhitenSystem(Fi, Ei, Gi, bi);
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noiseModel_->WhitenSystem(Fi, Ei, Gi, bi);
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G->block<ZDim, D - 6>(row, 0) = Gi;
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}
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F.block<ZDim, 6>(row, 0) = Fi;
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@ -413,7 +427,8 @@ public:
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}
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/// Create BIG block-diagonal matrix F from Fblocks
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static void FillDiagonalF(const std::vector<KeyMatrix2D>& Fblocks, Matrix& F) {
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static void FillDiagonalF(const std::vector<KeyMatrix2D>& Fblocks,
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Matrix& F) {
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size_t m = Fblocks.size();
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F.resize(ZDim * m, D * m);
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F.setZero();
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@ -533,7 +533,7 @@ public:
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Vector bi = -(cameras[i].projectPointAtInfinity(this->point_, Fi, Ei)
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- this->measured_.at(i)).vector();
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this->noise_.at(i)->WhitenSystem(Fi, Ei, bi);
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this->noiseModel_->WhitenSystem(Fi, Ei, bi);
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f += bi.squaredNorm();
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Fblocks.push_back(typename Base::KeyMatrix2D(this->keys_[i], Fi));
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E.block<2, 2>(2 * i, 0) = Ei;
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@ -639,7 +639,7 @@ public:
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Point2 reprojectionError(
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camera.projectPointAtInfinity(this->point_) - zi);
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overallError += 0.5
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* this->noise_.at(i)->distance(reprojectionError.vector());
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* this->noiseModel_->distance(reprojectionError.vector());
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i += 1;
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}
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return overallError;
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