128 lines
4.4 KiB
C++
128 lines
4.4 KiB
C++
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/**
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* @file InvDepthFactor3.h
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* @brief Inverse Depth Factor based on Civera09tro, Montiel06rss.
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* Landmarks are initialized from the first camera observation with
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* (x,y,z,theta,phi,inv_depth), where x,y,z are the coordinates of
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* the camera. InvDepthCamera provides methods to initialize inverse
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* depth landmarks (backproject), and to convert inverse depth
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* landmarks to cartesian coordinates (Point3) for visualization, etc.
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* The inverse depth parameterization is split into (x,y,z,theta,phi),
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* (inv_depth) to make it easy to add a prior on inverse depth alone
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* @author Chris Beall
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*/
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#pragma once
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#include <gtsam/geometry/Cal3_S2.h>
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#include <gtsam/nonlinear/NonlinearFactor.h>
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#include <gtsam_unstable/geometry/InvDepthCamera3.h>
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namespace gtsam {
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/**
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* Ternary factor representing a visual measurement that includes inverse depth
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*/
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template<class POSE, class LANDMARK, class INVDEPTH>
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class InvDepthFactor3: public NoiseModelFactorN<POSE, LANDMARK, INVDEPTH> {
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protected:
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// Keep a copy of measurement and calibration for I/O
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Point2 measured_; ///< 2D measurement
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std::shared_ptr<Cal3_S2> K_; ///< shared pointer to calibration object
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public:
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/// shorthand for base class type
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typedef NoiseModelFactor3<POSE, LANDMARK, INVDEPTH> Base;
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// Provide access to the Matrix& version of evaluateError:
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using Base::evaluateError;
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/// shorthand for this class
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typedef InvDepthFactor3<POSE, LANDMARK, INVDEPTH> This;
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/// shorthand for a smart pointer to a factor
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typedef std::shared_ptr<This> shared_ptr;
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/// Default constructor
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InvDepthFactor3() :
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measured_(0.0, 0.0), K_(new Cal3_S2(444, 555, 666, 777, 888)) {
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}
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/**
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* Constructor
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* TODO: Mark argument order standard (keys, measurement, parameters)
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* @param measured is the 2 dimensional location of point in image (the measurement)
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* @param model is the standard deviation
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* @param poseKey is the index of the camera pose
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* @param pointKey is the index of the landmark
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* @param invDepthKey is the index of inverse depth
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* @param K shared pointer to the constant calibration
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*/
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InvDepthFactor3(const Point2& measured, const SharedNoiseModel& model,
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const Key poseKey, Key pointKey, Key invDepthKey, const Cal3_S2::shared_ptr& K) :
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Base(model, poseKey, pointKey, invDepthKey), measured_(measured), K_(K) {}
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/** Virtual destructor */
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~InvDepthFactor3() override {}
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/**
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* print
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* @param s optional string naming the factor
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* @param keyFormatter optional formatter useful for printing Symbols
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*/
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void print(const std::string& s = "InvDepthFactor3",
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const KeyFormatter& keyFormatter = DefaultKeyFormatter) const override {
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Base::print(s, keyFormatter);
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traits<Point2>::Print(measured_, s + ".z");
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}
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/// equals
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bool equals(const NonlinearFactor& p, double tol = 1e-9) const override {
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const This *e = dynamic_cast<const This*>(&p);
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return e && Base::equals(p, tol) && traits<Point2>::Equals(this->measured_, e->measured_, tol) && this->K_->equals(*e->K_, tol);
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}
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/// Evaluate error h(x)-z and optionally derivatives
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Vector evaluateError(const POSE& pose, const Vector5& point, const INVDEPTH& invDepth,
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OptionalMatrixType H1, OptionalMatrixType H2, OptionalMatrixType H3) const override {
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try {
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InvDepthCamera3<Cal3_S2> camera(pose, K_);
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return camera.project(point, invDepth, H1, H2, H3) - measured_;
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} catch( CheiralityException& e) {
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if (H1) *H1 = Matrix::Zero(2,6);
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if (H2) *H2 = Matrix::Zero(2,5);
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if (H3) *H3 = Matrix::Zero(2,1);
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std::cout << e.what() << ": Landmark "<< DefaultKeyFormatter(this->key2()) <<
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" moved behind camera " << DefaultKeyFormatter(this->key1()) << std::endl;
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return Vector::Ones(2) * 2.0 * K_->fx();
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}
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return (Vector(1) << 0.0).finished();
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}
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/** return the measurement */
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const Point2& imagePoint() const {
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return measured_;
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}
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/** return the calibration object */
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inline const Cal3_S2::shared_ptr calibration() const {
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return K_;
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}
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private:
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#if GTSAM_ENABLE_BOOST_SERIALIZATION ///
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/// Serialization function
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friend class boost::serialization::access;
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template<class ARCHIVE>
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void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
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ar & BOOST_SERIALIZATION_BASE_OBJECT_NVP(Base);
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ar & BOOST_SERIALIZATION_NVP(measured_);
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ar & BOOST_SERIALIZATION_NVP(K_);
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}
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#endif
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};
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} // \ namespace gtsam
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