added capability to use multiple measurements from the same pose. unfortunately still had to define a non-templated function from cameraSet

release/4.3a0
lcarlone 2021-08-26 11:56:16 -04:00
parent 8af633a991
commit fe75554862
2 changed files with 47 additions and 10 deletions

View File

@ -293,6 +293,19 @@ public:
hessianKeys);
}
/**
* non-templated version of function above
*/
static SymmetricBlockMatrix SchurComplementAndRearrangeBlocks_3_6_6(
const std::vector<Eigen::Matrix<double,ZDim, 6>,
Eigen::aligned_allocator<Eigen::Matrix<double,ZDim,6> > >& Fs,
const Matrix& E, const Eigen::Matrix<double,3,3>& P, const Vector& b,
const KeyVector jacobianKeys, const KeyVector hessianKeys) {
return SchurComplementAndRearrangeBlocks<3,6,6>(Fs, E, P, b,
jacobianKeys,
hessianKeys);
}
/**
* Do Schur complement, given Jacobian as Fs,E,P, return SymmetricBlockMatrix
* G = F' * F - F' * E * P * E' * F

View File

@ -15,6 +15,7 @@
* Same as SmartProjectionPoseFactor, except:
* - it is templated on CAMERA (i.e., it allows cameras beyond pinhole)
* - it admits a different calibration for each measurement (i.e., it can model a multi-camera system)
* - it allows multiple observations from the same pose/key (again, to model a multi-camera system)
* @author Luca Carlone
* @author Chris Beall
* @author Zsolt Kira
@ -58,6 +59,9 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
protected:
/// vector of keys (one for each observation) with potentially repeated keys
std::vector<Key> nonUniqueKeys_;
/// shared pointer to calibration object (one for each observation)
std::vector<boost::shared_ptr<CALIBRATION> > K_all_;
@ -106,7 +110,12 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
Pose3::identity()) {
// store measurement and key
this->measured_.push_back(measured);
this->keys_.push_back(poseKey);
this->nonUniqueKeys_.push_back(poseKey);
// also store keys in the keys_ vector: these keys are assumed to be unique, so we avoid duplicates here
if (std::find(this->keys_.begin(), this->keys_.end(), poseKey) == this->keys_.end())
this->keys_.push_back(poseKey); // add only unique keys
// store fixed intrinsic calibration
K_all_.push_back(K);
// store fixed extrinsics of the camera
@ -145,6 +154,11 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
return body_P_sensors_;
}
/// return (for each observation) the (possibly non unique) keys involved in the measurements
const std::vector<Key> nonUniqueKeys() const {
return nonUniqueKeys_;
}
/**
* print
* @param s optional string naming the factor
@ -155,6 +169,7 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
std::cout << s << "SmartProjectionFactorP: \n ";
for (size_t i = 0; i < K_all_.size(); i++) {
std::cout << "-- Measurement nr " << i << std::endl;
std::cout << "key: " << keyFormatter(nonUniqueKeys_[i]) << std::endl;
body_P_sensors_[i].print("extrinsic calibration:\n");
K_all_[i]->print("intrinsic calibration = ");
}
@ -177,7 +192,7 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
}
return e && Base::equals(p, tol) && K_all_ == e->calibration()
&& extrinsicCalibrationEqual;
&& nonUniqueKeys_ == e->nonUniqueKeys() && extrinsicCalibrationEqual;
}
/**
@ -188,9 +203,9 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
*/
typename Base::Cameras cameras(const Values& values) const override {
typename Base::Cameras cameras;
for (size_t i = 0; i < this->keys_.size(); i++) {
for (size_t i = 0; i < nonUniqueKeys_.size(); i++) {
const Pose3& body_P_cam_i = body_P_sensors_[i];
const Pose3 world_P_sensor_i = values.at<Pose3>(this->keys_[i])
const Pose3 world_P_sensor_i = values.at<Pose3>(nonUniqueKeys_[i])
* body_P_cam_i;
cameras.emplace_back(world_P_sensor_i, K_all_[i]);
}
@ -237,13 +252,16 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
const Values& values, const double lambda = 0.0, bool diagonalDamping =
false) const {
size_t nrKeys = this->keys_.size();
// we may have multiple observation sharing the same keys (e.g., 2 cameras measuring from the same body pose),
// hence the number of unique keys may be smaller than nrMeasurements
size_t nrUniqueKeys = this->keys_.size(); // note: by construction, keys_ only contains unique keys
Cameras cameras = this->cameras(values);
// Create structures for Hessian Factors
KeyVector js;
std::vector < Matrix > Gs(nrKeys * (nrKeys + 1) / 2);
std::vector < Vector > gs(nrKeys);
std::vector < Matrix > Gs(nrUniqueKeys * (nrUniqueKeys + 1) / 2);
std::vector < Vector > gs(nrUniqueKeys);
if (this->measured_.size() != this->cameras(values).size()) // 1 observation per camera
throw std::runtime_error("SmartProjectionFactorP: "
@ -279,10 +297,16 @@ class SmartProjectionFactorP : public SmartProjectionFactor<CAMERA> {
Fs[i] = this->noiseModel_->Whiten(Fs[i]);
}
// build augmented hessian
SymmetricBlockMatrix augmentedHessian = Cameras::SchurComplement(Fs, E, b);
Matrix3 P = Base::Cameras::PointCov(E, lambda, diagonalDamping);
// Build augmented Hessian (with last row/column being the information vector)
// Note: we need to get the augumented hessian wrt the unique keys in key_
SymmetricBlockMatrix augmentedHessianUniqueKeys =
Base::Cameras::SchurComplementAndRearrangeBlocks_3_6_6(
Fs, E, P, b, nonUniqueKeys_, this->keys_);
return boost::make_shared < RegularHessianFactor<DimPose>
> (this->keys_, augmentedHessian);
> (this->keys_, augmentedHessianUniqueKeys);
}
/**