include <ros ros.h="">

include <cv_bridge cv_bridge.h="">

include <sensor_msgs image_encodings.h="">

include <opencv2 opencv.hpp="">

include <opencv2 highgui="" highgui.hpp="">

include <opencv2 nonfree="" features2d.hpp="">

include <opencv2 features2d="" features2d.hpp="">

#include <ros/ros.h>
#include <cv_bridge/cv_bridge.h>
#include <sensor_msgs/image_encodings.h>

#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include <opencv2/features2d/features2d.hpp>

using namespace cv;
using namespace std;
 
std;
SiftFeatureDetector detector;
SiftDescriptorExtractor extractor;
FlannBasedMatcher matcher;
 
matcher;
Mat img_object, img_scene;
Mat img_object_g, img_scene_g;
 
vector<keypoint> img_scene_g;
vector<KeyPoint> keypoints_object, keypoints_scene;
Mat descriptors_object, descriptors_scene;
 
descriptors_scene;
//////////////////////////////////////////////////////////////////////////////////
cv_bridge::CvImagePtr cv_ptr;
void image_cb (const sensor_msgs::ImageConstPtr& msg) {
  double t0 = getTickCount ();
 cv_ptr = cv_bridge::toCvCopy (msg, sensor_msgs::image_encodings::BGR8);
 img_scene = cv_ptr->image;
 cvtColor (img_scene, img_scene_g, CV_BGR2GRAY);
 
CV_BGR2GRAY);
detector.detect (img_scene_g, keypoints_scene);
extractor.compute (img_scene_g, keypoints_scene, descriptors_scene);
std::vector< DMatch > matches;
matcher.match( descriptors_object, descriptors_scene, matches );
double max_dist = 0; double min_dist = 100;
for( int i = 0; i < descriptors_object.rows; i++ ) {
double dist = matches[i].distance;
if( dist < min_dist ) min_dist = dist;
if( dist > max_dist ) max_dist = dist;
}
std::vector< DMatch > good_matches;
for( int i = 0; i < descriptors_object.rows; i++ ) {
if( matches[i].distance < 3*min_dist ) {
good_matches.push_back( matches[i]);
}
}
Mat img_displayed;
Mat img_displayed_1;
 
 // ve cac duong thang va xoa cac diem khong tot
drawMatches( img_object, keypoints_object, img_scene, keypoints_scene,
   good_matches, img_displayed, Scalar::all(-1), Scalar::all(-1),
 vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
 
);
//-- Localize the object
std::vector<Point2f> obj;
std::vector<Point2f> scene;
for( int i = 0; i < good_matches.size(); i++ ) {
obj.push_back( keypoints_object[ good_matches[i].queryIdx ].pt );
scene.push_back( keypoints_scene[ good_matches[i].trainIdx ].pt );
}
Mat H = findHomography( obj, scene, CV_RANSAC );
//-- Get the corners from the image_1 ( the object to be "detected" )
std::vector<Point2f> obj_corners(4);
obj_corners[0] = cvPoint(img_object.cols/8,img_object.rows/8); obj_corners[1] = cvPoint(  img_object.cols*7/8, img_object.rows/8 );
 obj_corners[2] = cvPoint( img_object.cols*7/8, img_object.rows*3/8 ); obj_corners[3] = cvPoint( img_object.cols/8, img_object.rows*3/8 );
 std::vector<Point2f> scene_corners(4);
 
 perspectiveTransform( obj_corners, scene_corners, H);
//-- Draw lines between the corners (the mapped object in the scene - image_2 )
line( img_displayed, scene_corners[0] + Point2f( img_object.cols, 0), scene_corners[1] + Point2f( img_object.cols, 0), Scalar(0, 255, 0), 4 );
line( img_displayed, scene_corners[1] + Point2f( img_object.cols, 0), scene_corners[2] + Point2f( img_object.cols, 0), Scalar( 0, 255, 0), 4 );
line( img_displayed, scene_corners[2] + Point2f( img_object.cols, 0), scene_corners[3] + Point2f( img_object.cols, 0), Scalar( 0, 255, 0), 4 );
line( img_displayed, scene_corners[3] + Point2f( img_object.cols, 0), scene_corners[0] + Point2f( img_object.cols, 0), Scalar( 0, 255, 0), 4 );
 
);
//-- Get the corners from the image_2 ( the object to be "detected" )
std::vector<point2f> std::vector<Point2f> obj_corners_2(4);
obj_corners_2[0] = cvPoint(0,img_object.rows/2); obj_corners_2[1] = cvPoint( img_object.cols, img_object.rows/2 );
obj_corners_2[2] = cvPoint( img_object.cols, img_object.rows ); obj_corners_2[3] = cvPoint( 0, img_object.rows );
std::vector<point2f> scene_corners_2(4);
 
std::vector<Point2f> scene_corners_2(4);
perspectiveTransform( obj_corners_2, scene_corners_2, H);
//-- Draw lines between the corners (the mapped object in the scene - image_2 )
line( img_displayed, scene_corners_2[0] + Point2f( img_object.cols, 0), scene_corners_2[1] + Point2f( img_object.cols, 0), Scalar(255, 0, 0), 4 );
line( img_displayed, scene_corners_2[1] + Point2f( img_object.cols, 0), scene_corners_2[2] + Point2f( img_object.cols, 0), Scalar( 255, 0, 0), 4 );
line( img_displayed, scene_corners_2[2] + Point2f( img_object.cols, 0), scene_corners_2[3] + Point2f( img_object.cols, 0), Scalar( 255, 0, 0), 4 );
line( img_displayed, scene_corners_2[3] + Point2f( img_object.cols, 0), scene_corners_2[0] + Point2f( img_object.cols, 0), Scalar( 255, 0, 0), 4 );
 
);
//imshow ("ImageDisplayer_1", img_displayed_1);
imshow ("ImageDisplayer", img_displayed);
cout << "Frame rate = " << getTickFrequency () / (getTickCount () - t0) << endl;
 
}
 
}
int main( int argc, char** argv ) {
ros::init (argc, argv, "VisionBasedLineFollowing");
ros::NodeHandle nh;
ros::Subscriber image_sub = nh.subscribe ("/camera/rgb/image_color", 1,
image_cb);
namedWindow ("ImageDisplayer", CV_WINDOW_AUTOSIZE);
 
CV_WINDOW_AUTOSIZE);
img_object = imread ("imageDst1.jpg");
cvtColor (img_object, img_object_g, CV_BGR2GRAY);
detector.detect (img_object_g, keypoints_object);
extractor.compute (img_object_g, keypoints_object, descriptors_object);
while (char (waitKey (1)) != 'q') {
ros::spinOnce ();
 }
}
  
}