include stdio.h>

include iostream>

include "opencv2/core/core.hpp"

include "opencv2/features2d/features2d.hpp"

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.hpp"

include "opencv2/calib3d/calib3d.hpp"

using namespace cv;

int main() { Mat object = imread( "sample.jpeg", CV_LOAD_IMAGE_GRAYSCALE );

if( !object.data )
{
    std::cout<< "Error reading object " << std::endl;
    return -1;
}

//Detect the keypoints using SURF Detector
int minHessian = 500;

SurfFeatureDetector detector( minHessian );
std::vector<KeyPoint> kp_object;

detector.detect( object, kp_object );

//Calculate descriptors (feature vectors)
SurfDescriptorExtractor extractor;
Mat des_object;

extractor.compute( object, kp_object, des_object );

FlannBasedMatcher matcher;

VideoCapture cap(0);

namedWindow("Good Matches",0);
cvResizeWindow("Good Matches",800,800);

std::vector<Point2f> obj_corners(4);

//Get the corners from the object
obj_corners[0] = (cvPoint(0,0));
obj_corners[1] = (cvPoint(object.cols,0));
obj_corners[2] = (cvPoint(object.cols,object.rows));
obj_corners[3] = (cvPoint(0, object.rows));

char key = 'a';
int framecount = 0;
while (key != 27)
{
    Mat frame;
    cap >> frame;

    if (framecount < 5)
    {
        framecount++;
        continue;
    }

    Mat des_image, img_matches;
    std::vector<KeyPoint> kp_image;
    std::vector<vector<DMatch > > matches;
    std::vector<DMatch > good_matches;
    std::vector<Point2f> obj;
    std::vector<Point2f> scene;
    std::vector<Point2f> scene_corners(4);
    Mat H;
    Mat image;

    cvtColor(frame, image, CV_RGB2GRAY);

    detector.detect( image, kp_image );
   extractor.compute( image, kp_image, des_image );

    matcher.knnMatch(des_object, des_image, matches, 2);

   for(int i = 0; i < min(des_image.rows-1,(int) matches.size()); i++) //THIS LOOP IS SENSITIVE TO SEGFAULTS
  {
        if((matches[i][0].distance < 0.6*(matches[i][1].distance)) && ((int) matches[i].size()<=2 && (int) matches[i].size()>0))
     {
          good_matches.push_back(matches[i][0]);
        }
   }

    //Draw only "good" matches
 //  drawMatches( object, kp_object, image, kp_image, good_matches, img_matches, Scalar::all(-1), Scalar::all(-1), vector<char>(),DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);

    if (good_matches.size() >= 4)
    {
        for( int i = 0; i < good_matches.size(); i++ )
        {
            //Get the keypoints from the good matches
            obj.push_back( kp_object[ good_matches[i].queryIdx ].pt );
            scene.push_back( kp_image[ good_matches[i].trainIdx ].pt );
       }

        H = findHomography( obj, scene, CV_RANSAC );

        perspectiveTransform( obj_corners, scene_corners, H);

        //Draw lines between the corners (the mapped object in the scene image )
        line( image, scene_corners[0] + Point2f( object.cols, 0), scene_corners[1] + Point2f( object.cols, 0), Scalar(0, 255, 0), 4 );
        line( image, scene_corners[1] + Point2f( object.cols, 0), scene_corners[2] + Point2f( object.cols, 0), Scalar( 0, 255, 0), 4 );
        line( image, scene_corners[2] + Point2f( object.cols, 0), scene_corners[3] + Point2f( object.cols, 0), Scalar( 0, 255, 0), 4 );
        line( image, scene_corners[3] + Point2f( object.cols, 0), scene_corners[0] + Point2f( object.cols, 0), Scalar( 0, 255, 0), 4 );
    }

    //Show detected matches
    imshow( "Good Matches", image );

    key = waitKey(1);
}
return 0;

}

I've a SURF code that works on OpenCV. I need to run this code on ROS. How can I do it with the help of cv_bridge?