/* ---------------------------------------------------------------------------- * GTSAM Copyright 2010, Georgia Tech Research Corporation, * Atlanta, Georgia 30332-0415 * All Rights Reserved * Authors: Frank Dellaert, et al. (see THANKS for the full author list) * See LICENSE for the license information * -------------------------------------------------------------------------- */ /** * testTriangulationFactor.h * @date March 2, 2014 * @author Frank Dellaert */ #include #include #include #include #include namespace gtsam { /** * Non-linear factor for a constraint derived from a 2D measurement. * The calibration and pose are assumed known. * @addtogroup SLAM */ template class TriangulationFactor: public NoiseModelFactor1 { public: /// Camera type typedef PinholeCamera Camera; protected: // Keep a copy of measurement and calibration for I/O const Camera camera_; ///< Camera in which this landmark was seen const Point2 measured_; ///< 2D measurement // verbosity handling for Cheirality Exceptions const bool throwCheirality_; ///< If true, rethrows Cheirality exceptions (default: false) const bool verboseCheirality_; ///< If true, prints text for Cheirality exceptions (default: false) public: /// shorthand for base class type typedef NoiseModelFactor1 Base; /// shorthand for this class typedef TriangulationFactor This; /// shorthand for a smart pointer to a factor typedef boost::shared_ptr shared_ptr; /// Default constructor TriangulationFactor() : throwCheirality_(false), verboseCheirality_(false) { } /** * Constructor with exception-handling flags * @param camera is the camera in which unknown landmark is seen * @param measured is the 2 dimensional location of point in image (the measurement) * @param model is the standard deviation * @param pointKey is the index of the landmark * @param throwCheirality determines whether Cheirality exceptions are rethrown * @param verboseCheirality determines whether exceptions are printed for Cheirality */ TriangulationFactor(const Camera& camera, const Point2& measured, const SharedNoiseModel& model, Key pointKey, bool throwCheirality = false, bool verboseCheirality = false) : Base(model, pointKey), camera_(camera), measured_(measured), throwCheirality_( throwCheirality), verboseCheirality_(verboseCheirality) { if (model && model->dim() != 2) throw std::invalid_argument( "TriangulationFactor must be created with 2-dimensional noise model."); } /** Virtual destructor */ virtual ~TriangulationFactor() { } /// @return a deep copy of this factor virtual gtsam::NonlinearFactor::shared_ptr clone() const { return boost::static_pointer_cast( gtsam::NonlinearFactor::shared_ptr(new This(*this))); } /** * print * @param s optional string naming the factor * @param keyFormatter optional formatter useful for printing Symbols */ void print(const std::string& s = "", const KeyFormatter& keyFormatter = DefaultKeyFormatter) const { std::cout << s << "TriangulationFactor,"; camera_.print("camera"); measured_.print("z"); Base::print("", keyFormatter); } /// equals virtual bool equals(const NonlinearFactor& p, double tol = 1e-9) const { const This *e = dynamic_cast(&p); return e && Base::equals(p, tol) && this->camera_.equals(e->camera_, tol) && this->measured_.equals(e->measured_, tol); } /// Evaluate error h(x)-z and optionally derivatives Vector evaluateError(const Point3& point, boost::optional H2 = boost::none) const { try { Point2 error(camera_.project(point, boost::none, H2) - measured_); return error.vector(); } catch (CheiralityException& e) { if (H2) *H2 = zeros(2, 3); if (verboseCheirality_) std::cout << e.what() << ": Landmark " << DefaultKeyFormatter(this->key()) << " moved behind camera" << std::endl; if (throwCheirality_) throw e; return ones(2) * 2.0 * camera_.calibration().fx(); } } /// thread-safe (?) scratch memory for linearize mutable VerticalBlockMatrix Ab; mutable Matrix A; mutable Vector b; /** * Linearize to a JacobianFactor, does not support constrained noise model ! * \f$ Ax-b \approx h(x+\delta x)-z = h(x) + A \delta x - z \f$ * Hence \f$ b = z - h(x) = - \mathtt{error\_vector}(x) \f$ */ boost::shared_ptr linearize(const Values& x) const { // Only linearize if the factor is active if (!this->active(x)) return boost::shared_ptr(); // Allocate memory for Jacobian factor, do only once if (Ab.rows() == 0) { std::vector dimensions(1, 3); Ab = VerticalBlockMatrix(dimensions, 2, true); A.resize(2,3); b.resize(2); } // Would be even better if we could pass blocks to project const Point3& point = x.at(key()); b = -(camera_.project(point, boost::none, A) - measured_).vector(); if (noiseModel_) this->noiseModel_->WhitenSystem(A, b); Ab(0) = A; Ab(1) = b; return boost::make_shared(this->keys_, Ab); } /** return the measurement */ const Point2& measured() const { return measured_; } /** return verbosity */ inline bool verboseCheirality() const { return verboseCheirality_; } /** return flag for throwing cheirality exceptions */ inline bool throwCheirality() const { return throwCheirality_; } private: /// Serialization function friend class boost::serialization::access; template void serialize(ARCHIVE & ar, const unsigned int version) { ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Base); ar & BOOST_SERIALIZATION_NVP(camera_); ar & BOOST_SERIALIZATION_NVP(measured_); ar & BOOST_SERIALIZATION_NVP(throwCheirality_); ar & BOOST_SERIALIZATION_NVP(verboseCheirality_); } }; } // \ namespace gtsam