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/* 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.
*/
#pragma once
#include "compat/timer.hpp"
#include "cv/affine.hpp"
#include "cv/numeric.hpp"
#include "pt-api.hpp"
#include "point-filter.hpp"
#include <cstddef>
#include <memory>
#include <vector>
#include <array>
#include <opencv2/core.hpp>
#include <QObject>
namespace pt_impl {
// ----------------------------------------------------------------------------
// Describes a 3-point model
// nomenclature as in
// [Denis Oberkampf, Daniel F. DeMenthon, Larry S. Davis: "Iterative Pose Estimation Using Coplanar Feature Points"]
using namespace numeric_types;
struct PointModel final
{
static constexpr unsigned N_POINTS = 3;
vec3 M01; // M01 in model frame
vec3 M02; // M02 in model frame
vec3 u; // unit vector perpendicular to M01,M02-plane
mat22 P;
enum Model { Clip, Cap, Custom };
explicit PointModel(const pt_settings& s);
void set_model(const pt_settings& s);
static void get_d_order(const vec2* points, unsigned* d_order, const vec2& d);
};
// ----------------------------------------------------------------------------
// 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 final
{
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<vec2>& projected_points,
const PointModel& model,
const pt_camera_info& info,
int init_phase_timeout,
point_filter& filter);
Affine pose() const { return X_CM; }
vec2 project(const vec3& v_M, f focal_length);
vec2 project(const vec3& v_M, f focal_length, const Affine& X_CM);
void reset_state();
private:
// the points in model order
using PointOrder = std::array<vec2, 3>;
static PointOrder find_correspondences(const vec2* projected_points, const PointModel &model);
PointOrder find_correspondences_previous(const vec2* points, const PointModel &model, const pt_camera_info& info);
// The POSIT algorithm, returns the number of iterations
int POSIT(const PointModel& point_model, const PointOrder& order, f focal_length);
Affine X_CM; // transform from model to camera
Affine X_CM_expected;
Timer t;
bool init_phase = true;
};
} // ns pt_impl
using PointTracker = pt_impl::PointTracker;
using PointModel = pt_impl::PointModel;
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