[CS]尺度不变特征变换匹配算法SIFT

#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;
}