opencv学习笔记2： SURF特征提取

main函数带参数在VS2008下调试方法

步骤：
右键要调试的项目—》Properties—》Debugging—》Command Arguments—》输入你要输入的参数即可

opencv_docs中SURF特征提取实例：

/** * @file SURF_descriptor * @brief SURF detector + descritpor + BruteForce Matcher + drawing matches with OpenCV functions * @author A. Huaman */#include <stdio.h>#include <iostream>#include "opencv2/core/core.hpp"#include "opencv2/features2d/features2d.hpp"#include "opencv2/highgui/highgui.hpp"#include "opencv2/nonfree/features2d.hpp"using namespace cv;void readme();/** * @function main * @brief Main function */int main( int argc, char** argv ){  //if( argc != 3 )  //{ return -1; }  Mat img_1 = imread( "d:/tsukuba_r.png", IMREAD_GRAYSCALE );  Mat img_2 = imread( "d:/tsukuba_l.png", IMREAD_GRAYSCALE );  if( !img_1.data || !img_2.data )  { return -1; }  //-- Step 1: Detect the keypoints using SURF Detector  int minHessian = 400; //关键值，值越大，特征点越少  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  BFMatcher matcher(NORM_L2); //选择matcher的类型  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; }