• 使用 FeatureDetector 接口来发现感兴趣点。特别地:
• 使用 SurfFeatureDetector 以及它的函数 detect 来实现检测过程
• 使用函数 drawKeypoints 来绘制检测到的关键点

#include 
#include 
#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 != 3 )
  { readme(); return -1; }
  Mat img_1 = imread( argv[1], CV_LOAD_IMAGE_GRAYSCALE );
  Mat img_2 = imread( argv[2], CV_LOAD_IMAGE_GRAYSCALE );
  if( !img_1.data || !img_2.data )
  { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
  //-- Step 1: Detect the keypoints using SURF Detector
  int minHessian = 400;
  SurfFeatureDetector detector( minHessian );
  std::vector keypoints_1, keypoints_2;
  detector.detect( img_1, keypoints_1 );
  detector.detect( img_2, keypoints_2 );
  //-- Draw keypoints
  Mat img_keypoints_1; Mat img_keypoints_2;
  drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
  drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
  //-- Show detected (drawn) keypoints
  imshow("Keypoints 1", img_keypoints_1 );
  imshow("Keypoints 2", img_keypoints_2 );
  waitKey(0);
  return 0;
  }
  /** @function readme */
  void readme()
  { std::cout << " Usage: ./SURF_detector  " << std::endl; }

1. 这是第一张图的特征点检测结果:

   
   

   

2. 这是第二张图的特征点检测:

   
   

   

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