#include <opencv2/core/core.hpp> 
#include <opencv2/highgui/highgui.hpp> 
#include <opencv2/imgproc/imgproc.hpp> 
#include <opencv2/features2d/features2d.hpp>
using namespace cv;
// 計算影象的SIFT特徵及匹配
cv::Mat cacORBFeatureAndCompare(cv::Mat srcImage1,
	cv::Mat srcImage2)
{ 
	CV_Assert(srcImage1.data != NULL && srcImage2.data != NULL);
	// 關鍵點檢測
	std::vector<KeyPoint> keyPoint1, keyPoint2;
	ORB orb;
	orb.detect(srcImage1, keyPoint1);
	orb.detect(srcImage2, keyPoint2);
	// 計算特徵向量
	Mat descriptorMat1, descriptorMat2;
	orb.compute(srcImage1, keyPoint1, descriptorMat1);
	orb.compute(srcImage2, keyPoint2, descriptorMat2);
	// 特徵匹配
	BFMatcher matcher(NORM_HAMMING);
	std::vector<DMatch> mathces;
	matcher.match(descriptorMat1, descriptorMat2, mathces);
	// 繪製匹配點集
	Mat matchMat;
	drawMatches(srcImage1, keyPoint1,
		srcImage2, keyPoint2, mathces, matchMat);
	//cv::imshow("Mathces", matchMat);
	return matchMat;
}
int main ()
{
	// 讀取源影象及待匹配影象
	cv::Mat srcImage1 = 
		cv::imread("hand1.jpg", 1); 
	if (srcImage1.empty()) 
		return -1;
	cv::Mat srcImage2 = 
		cv::imread("hand3.jpg", 1); 
	if (srcImage2.empty()) 
		return -1;
	cv::Mat  matchMat = cacORBFeatureAndCompare(srcImage1, srcImage2);
	cv::imshow("matchMat", matchMat);
	cv::waitKey(0);
	return 0;
}
 

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