/* Copyright (c) 2012 Patrick Ruoff * * Permission to use, copy, modify, and/or distribute this software for any * purpose with or without fee is hereby granted, provided that the above * copyright notice and this permission notice appear in all copies. */ #ifndef POINTTRACKER_H #define POINTTRACKER_H #include #include #include #include "opentrack-compat/timer.hpp" #include "ftnoir_tracker_pt_settings.h" #include // ---------------------------------------------------------------------------- // Affine frame trafo class Affine { public: Affine() : R(cv::Matx33f::eye()), t(0,0,0) {} Affine(const cv::Matx33f& R, const cv::Vec3f& t) : R(R),t(t) {} cv::Matx33f R; cv::Vec3f t; }; inline Affine operator*(const Affine& X, const Affine& Y) { return Affine(X.R*Y.R, X.R*Y.t + X.t); } inline Affine operator*(const cv::Matx33f& X, const Affine& Y) { return Affine(X*Y.R, X*Y.t); } inline Affine operator*(const Affine& X, const cv::Matx33f& Y) { return Affine(X.R*Y, X.t); } inline cv::Vec3f operator*(const Affine& X, const cv::Vec3f& v) { return X.R*v + X.t; } // ---------------------------------------------------------------------------- // Describes a 3-point model // nomenclature as in // [Denis Oberkampf, Daniel F. DeMenthon, Larry S. Davis: "Iterative Pose Estimation Using Coplanar Feature Points"] class PointModel { friend class PointTracker; public: static constexpr int N_POINTS = 3; cv::Vec3f M01; // M01 in model frame cv::Vec3f M02; // M02 in model frame cv::Vec3f u; // unit vector perpendicular to M01,M02-plane cv::Matx22f P; PointModel(settings_pt& s) { set_model(s); // calculate u u = M01.cross(M02); u /= norm(u); // calculate projection matrix on M01,M02 plane float s11 = M01.dot(M01); float s12 = M01.dot(M02); float s22 = M02.dot(M02); P = 1.0/(s11*s22-s12*s12) * cv::Matx22f(s22, -s12, -s12, s11); } void set_model(settings_pt& s) { enum { Cap = 0, ClipRight = 1, ClipLeft = 2 }; switch (s.model_used) { default: case Cap: { const double x = 60, y = 90, z = 95; M01 = cv::Vec3f(-x, -y, z); M02 = cv::Vec3f(x, -y, z); break; } case ClipLeft: case ClipRight: { const double a = 27, b = 43, c = 62, d = 74; M01 = cv::Vec3f(0, b, -a); M02 = cv::Vec3f(0, -c, -d); break; } } } void get_d_order(const std::vector& points, int* d_order, cv::Vec2f d) const; }; // ---------------------------------------------------------------------------- // Tracks a 3-point model // implementing the POSIT algorithm for coplanar points as presented in // [Denis Oberkampf, Daniel F. DeMenthon, Larry S. Davis: "Iterative Pose Estimation Using Coplanar Feature Points"] class PointTracker { public: PointTracker(); // track the pose using the set of normalized point coordinates (x pos in range -0.5:0.5) // f : (focal length)/(sensor width) // dt : time since last call void track(const std::vector& projected_points, const PointModel& model, float f, bool dynamic_pose, int init_phase_timeout); Affine pose() const { return X_CM; } cv::Vec2f project(const cv::Vec3f& v_M, float f); void reset(const Affine& pose) { X_CM = pose; } private: // the points in model order struct PointOrder { cv::Vec2f points[PointModel::N_POINTS]; PointOrder() { for (int i = 0; i < PointModel::N_POINTS; i++) points[i] = cv::Vec2f(0, 0); } }; PointOrder find_correspondences(const std::vector& projected_points, const PointModel &model); PointOrder find_correspondences_previous(const std::vector& points, const PointModel &model, float f); int POSIT(const PointModel& point_model, const PointOrder& order, float focal_length); // The POSIT algorithm, returns the number of iterations Affine X_CM; // trafo from model to camera Timer t; bool init_phase; }; #endif //POINTTRACKER_H