OpenCV 特征描述

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

 using namespace cv;

 void readme();

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

   Mat img_1 = imread( argv[], CV_LOAD_IMAGE_GRAYSCALE );
   Mat img_2 = imread( argv[], CV_LOAD_IMAGE_GRAYSCALE );

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

   //-- Step 1: Detect the keypoints using SURF Detector
   int minHessian = ;

   SurfFeatureDetector detector( minHessian );

   std::vector<KeyPoint> keypoints_1, keypoints_2;

   detector.detect( img_1, keypoints_1 );
   detector.detect( img_2, keypoints_2 );

   //-- Step 2: Calculate descriptors (feature vectors)
   SurfDescriptorExtractor extractor;

   Mat descriptors_1, descriptors_2;

   extractor.compute( img_1, keypoints_1, descriptors_1 );
   extractor.compute( img_2, keypoints_2, descriptors_2 );

   //-- Step 3: Matching descriptor vectors with a brute force matcher
   BruteForceMatcher< L2<float> > matcher;
   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();

   return ;
   }

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