--- /dev/null
+#include <iostream>
+#include <boost/lexical_cast.hpp>
+
+#include "Mesh.h"
+#include "Model.h"
+#include "PnPProblem.h"
+#include "RobustMatcher.h"
+#include "ModelRegistration.h"
+#include "Utils.h"
+
+#include <opencv2/core/core.hpp>
+#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/calib3d/calib3d.hpp>
+#include <opencv2/features2d/features2d.hpp>
+#include <opencv2/nonfree/features2d.hpp>
+
+ /*
+ * Set up the images paths
+ */
+
+ // COOKIES BOX [718x480]
+ std::string img_path = "../Data/resized_IMG_3875.JPG"; // f 55
+
+ // COOKIES BOX MESH
+ std::string ply_read_path = "../Data/box.ply";
+
+ // YAML writting path
+ std::string write_path = "../Data/cookies_ORB.yml";
+
+ // Boolean the know if the registration it's done
+ bool end_registration = false;
+
+ /*
+ * Set up the intrinsic camera parameters: CANON
+ */
+ double f = 45; // focal length in mm
+ double sx = 22.3, sy = 14.9;
+ double width = 2592, height = 1944;
+ double params_CANON[] = { width*f/sx, // fx
+ height*f/sy, // fy
+ width/2, // cx
+ height/2}; // cy
+
+
+ // Setup the points to register in the image
+ // In the order of the *.ply file and starting at 1
+ int n = 8;
+ int pts[] = {1, 2, 3, 4, 5, 6, 7, 8}; // 3 -> 4
+
+ /*
+ * Set up some basic colors
+ */
+ cv::Scalar red(0, 0, 255);
+ cv::Scalar green(0,255,0);
+ cv::Scalar blue(255,0,0);
+ cv::Scalar yellow(0,255,255);
+
+ /*
+ * CREATE MODEL REGISTRATION OBJECT
+ * CREATE OBJECT MESH
+ * CREATE OBJECT MODEL
+ * CREATE PNP OBJECT
+ */
+ ModelRegistration registration;
+ Model model;
+ Mesh mesh;
+ PnPProblem pnp_registration(params_CANON);
+
+
+// Mouse events for model registration
+static void onMouseModelRegistration( int event, int x, int y, int, void* )
+{
+ if ( event == cv::EVENT_LBUTTONUP )
+ {
+ int n_regist = registration.getNumRegist();
+ int n_vertex = pts[n_regist];
+
+ cv::Point2f point_2d = cv::Point2f(x,y);
+ cv::Point3f point_3d = mesh.getVertex(n_vertex-1);
+
+ bool is_registrable = registration.is_registrable();
+ if (is_registrable)
+ {
+ registration.registerPoint(point_2d, point_3d);
+ if( registration.getNumRegist() == registration.getNumMax() ) end_registration = true;
+ }
+ }
+}
+
+/*
+ * MAIN PROGRAM
+ *
+ */
+
+int main(int argc, char *argv[])
+{
+
+ std::cout << "!!!Hello Registration!!!" << std::endl;
+
+ // load a mesh given the *.ply file path
+ mesh.load(ply_read_path);
+
+ // set parameters
+ int numKeyPoints = 10000;
+
+ //Instantiate robust matcher: detector, extractor, matcher
+ RobustMatcher rmatcher;
+ cv::FeatureDetector * detector = new cv::OrbFeatureDetector(numKeyPoints);
+ //rmatcher.setFeatureDetector(detector);
+
+ /*
+ * GROUND TRUTH OF THE FIRST IMAGE
+ *
+ * by the moment it is the reference image
+ */
+
+ // Create & Open Window
+ cv::namedWindow("MODEL REGISTRATION", cv::WINDOW_KEEPRATIO);
+
+ // Set up the mouse events
+ cv::setMouseCallback("MODEL REGISTRATION", onMouseModelRegistration, 0 );
+
+ // Open the image to register
+ cv::Mat img_in = cv::imread(img_path, cv::IMREAD_COLOR);
+ cv::Mat img_vis = img_in.clone();
+
+ if (!img_in.data) {
+ std::cout << "Could not open or find the image" << std::endl;
+ return -1;
+ }
+
+ // Set the number of points to register
+ int num_registrations = n;
+ registration.setNumMax(num_registrations);
+
+ std::cout << "Click the box corners ..." << std::endl;
+ std::cout << "Waiting ..." << std::endl;
+
+ // Loop until all the points are registered
+ while ( cv::waitKey(30) < 0 )
+ {
+ // Refresh debug image
+ img_vis = img_in.clone();
+
+ // Current registered points
+ std::vector<cv::Point2f> list_points2d = registration.get_points2d();
+ std::vector<cv::Point3f> list_points3d = registration.get_points3d();
+
+ // Draw current registered points
+ drawPoints(img_vis, list_points2d, list_points3d, red);
+
+ // If the registration is not finished, draw which 3D point we have to register.
+ // If the registration is finished, breaks the loop.
+ if (!end_registration)
+ {
+ // Draw debug text
+ int n_regist = registration.getNumRegist();
+ int n_vertex = pts[n_regist];
+ cv::Point3f current_poin3d = mesh.getVertex(n_vertex-1);
+
+ drawQuestion(img_vis, current_poin3d, green);
+ drawCounter(img_vis, registration.getNumRegist(), registration.getNumMax(), red);
+ }
+ else
+ {
+ // Draw debug text
+ drawText(img_vis, "END REGISTRATION", green);
+ drawCounter(img_vis, registration.getNumRegist(), registration.getNumMax(), green);
+ break;
+ }
+
+ // Show the image
+ cv::imshow("MODEL REGISTRATION", img_vis);
+ }
+
+
+ /*
+ *
+ * COMPUTE CAMERA POSE
+ *
+ */
+
+ std::cout << "COMPUTING POSE ..." << std::endl;
+
+ // The list of registered points
+ std::vector<cv::Point2f> list_points2d = registration.get_points2d();
+ std::vector<cv::Point3f> list_points3d = registration.get_points3d();
+
+ // Estimate pose given the registered points
+ bool is_correspondence = pnp_registration.estimatePose(list_points3d, list_points2d, cv::ITERATIVE);
+ if ( is_correspondence )
+ {
+ std::cout << "Correspondence found" << std::endl;
+
+ // Compute all the 2D points of the mesh to verify the algorithm and draw it
+ std::vector<cv::Point2f> list_points2d_mesh = pnp_registration.verify_points(&mesh);
+ draw2DPoints(img_vis, list_points2d_mesh, green);
+
+ } else {
+ std::cout << "Correspondence not found" << std::endl << std::endl;
+ }
+
+ // Show the image
+ cv::imshow("MODEL REGISTRATION", img_vis);
+
+ // Show image until ESC pressed
+ cv::waitKey(0);
+
+
+ /*
+ *
+ * COMPUTE 3D of the image Keypoints
+ *
+ */
+
+
+ // Containers for keypoints and descriptors of the model
+ std::vector<cv::KeyPoint> keypoints_model;
+ cv::Mat descriptors;
+
+ // Compute keypoints and descriptors
+ rmatcher.computeKeyPoints(img_in, keypoints_model);
+ rmatcher.computeDescriptors(img_in, keypoints_model, descriptors);
+
+ // Check if keypoints are on the surface of the registration image and add to the model
+ for (unsigned int i = 0; i < keypoints_model.size(); ++i) {
+ cv::Point2f point2d(keypoints_model[i].pt);
+ cv::Point3f point3d;
+ bool on_surface = pnp_registration.backproject2DPoint(&mesh, point2d, point3d);
+ if (on_surface)
+ {
+ model.add_correspondence(point2d, point3d);
+ model.add_descriptor(descriptors.row(i));
+ model.add_keypoint(keypoints_model[i]);
+ }
+ else
+ {
+ model.add_outlier(point2d);
+ }
+ }
+
+ // save the model into a *.yaml file
+ model.save(write_path);
+
+ // Out image
+ img_vis = img_in.clone();
+
+ // The list of the points2d of the model
+ std::vector<cv::Point2f> list_points_in = model.get_points2d_in();
+ std::vector<cv::Point2f> list_points_out = model.get_points2d_out();
+
+ // Draw some debug text
+ std::string num = boost::lexical_cast< std::string >(list_points_in.size());
+ std::string text = "There are " + num + " inliers";
+ drawText(img_vis, text, green);
+
+ // Draw some debug text
+ num = boost::lexical_cast< std::string >(list_points_out.size());
+ text = "There are " + num + " outliers";
+ drawText2(img_vis, text, red);
+
+ // Draw the object mesh
+ drawObjectMesh(img_vis, &mesh, &pnp_registration, blue);
+
+ // Draw found keypoints depending on if are or not on the surface
+ draw2DPoints(img_vis, list_points_in, green);
+ draw2DPoints(img_vis, list_points_out, red);
+
+ // Show the image
+ cv::imshow("MODEL REGISTRATION", img_vis);
+
+ // Wait until ESC pressed
+ cv::waitKey(0);
+
+ // Close and Destroy Window
+ cv::destroyWindow("MODEL REGISTRATION");
+
+ std::cout << "GOODBYE" << std::endl;
+
+}