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# Feature Description

## Goal

In this tutorial you will learn how to:

- Use the DescriptorExtractor interface in order to find the feature vector correspondent to the keypoints. Specifically:
  - Use SurfDescriptorExtractor and its function compute to perform the required calculations.
  - Use a BFMatcher to match the features vector
  - Use the function drawMatches to draw the detected matches.

## Theory

## Code

This tutorial code’s is shown lines below.

    #include <stdio.h>
    #include <iostream>
    #include "opencv2/core.hpp"
    #include "opencv2/features2d.hpp"
    #include "opencv2/highgui.hpp"
    #include "opencv2/xfeatures2d.hpp"

    using namespace cv;
    using namespace cv::xfeatures2d;

    void readme();

    /** @function main */
    int main( int argc, char** argv )
    {
      if( argc != 3 )
       { return -1; }

      Mat img_1 = imread( argv[1], IMREAD_GRAYSCALE );
      Mat img_2 = imread( argv[2], IMREAD_GRAYSCALE );

      if( !img_1.data || !img_2.data )
       { return -1; }

      //-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
      int minHessian = 400;

      Ptr<SURF> detector = SURF::create();
      detector->setMinHessian(minHessian);

      std::vector<KeyPoint> keypoints_1, keypoints_2;
      Mat descriptors_1, descriptors_2;

      detector->detectAndCompute( img_1, keypoints_1, descriptors_1 );
      detector->detectAndCompute( img_2, keypoints_2, descriptors_2 );

      //-- Step 2: Matching descriptor vectors with a brute force matcher
      BFMatcher matcher(NORM_L2);
      std::vector< DMatch > matches;
      matcher.match( descriptors_1, descriptors_2, matches );

      //-- Draw matches
      Mat img_matches;
      drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );

      //-- Show detected matches
      imshow("Matches", img_matches );

      waitKey(0);

      return 0;
      }

     /** @function readme */
     void readme()
     { std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; }

## Explanation

## Result

1. Here is the result after applying the BruteForce matcher between the two original images:

## Help and Feedback

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### Navigation

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- feature2d module. 2D Features framework »