尺度不变特征变换匹配算法SIFT（2）

#include   
#include   
  
using namespace std;  
using namespace cv;  
int main()  
{  
    //read the two input images  
    Mat image1 = imread(image1.jpg);  
    Mat image2 = imread(image2.jpg);  
    //if failed  
    if(image1.empty()||image2.empty())  
    {  
        cout< keypoint1,keypoint2;  
    //detect image with SIFT,get key points  
    siftDetector.detect(image1,keypoint1);  
    Mat outImage1;  
    //draw key points at the out image and show to the user  
    drawKeypoints(image1,keypoint1,outImage1,Scalar(255,0,0));  
  
    imshow(original_image1,image1);  
    imshow(sift_image1,outImage1);  
      
    Mat outImage2;  
      
    siftDetector.detect(image2,keypoint2);  
    drawKeypoints(image2,keypoint2,outImage2,Scalar(255,0,0));  
  
    imshow(sift_image2.jpg,outImage2);  
    //imwrite(sift_result2.jpg,outImage2);  
    //store 10 keypoints in order to watch the effect clearly  
    vector keypoint3,keypoint4;  
    for(int i=0;i<10;i++)  
    {  
        keypoint3.push_back(keypoint1[i]);  
        keypoint4.push_back(keypoint2[i]);  
    }  
    // difine a sift descriptor extractor  
    SiftDescriptorExtractor extractor;  
    //store the descriptor of each image  
    Mat descriptor1,descriptor2;  
    BruteForceMatcher> matcher;  
  
    vector matches;  
    Mat img_matches;  
    //compute the descriptor of each image  
    extractor.compute(image1,keypoint3,descriptor1);  
    extractor.compute(image2,keypoint4,descriptor2);  
    //match  
    matcher.match(descriptor1,descriptor2,matches);  
    //show the result  
    drawMatches(image1,keypoint3,image2,keypoint4,matches,img_matches,Scalar(255,0,0));  
    imshow(matches,img_matches);  
    //store the match_image  
    //imwrite(matches.jpg,img_matches);  
  
    waitKey(0);  
    return 0;  
}