#include?
#include?
#include?

using?namespace?std;
using?namespace?cv;
using?namespace?cv::xfeatures2d;


void?surfMatch_ransac（Mat?srcImage1Mat?srcImage2Mat&Homgimg_matches）?{
	//【0】改變console字體顏色??
	system（“color?1F“）;


	//【1】載入原始圖片??
	/*Mat?srcImage1?=?imread（“1.jpg“?1）;
	Mat?srcImage2?=?imread（“2.jpg“?1）;*/
	Mat?copysrcImage1?=?srcImage1.clone（）;
	Mat?copysrcImage2?=?srcImage2.clone（）;

	

	//【2】使用SURF算子檢測關鍵點??
	int?minHessian?=?800;//SURF算法中的hessian閾值??
	//SurfFeatureDetector?detector（minHessian）;//定義一個SurfFeatureDetector（SURF）?特征檢測類對象????
	vector?keypoints_object?keypoints_scene;//vector模板類，存放任意類型的動態數組??
	Ptrdetect?=?SURF::create（minHessian?4?3?true?true）;
													???//【3】調用detect函數檢測出SURF特征關鍵點，保存在vector容器中??
	Mat?descriptors_object?descriptors_scene;
	detect->detectAndCompute（srcImage1Mat（）?keypoints_objectdescriptors_object）;
	detect->detectAndCompute（srcImage2?Mat（）keypoints_scenedescriptors_scene）;

	//【4】計算描述符（特征向量）??
	/*SurfDescriptorExtractor?extractor;
	
	extractor.compute（srcImage1?keypoints_object?descriptors_object）;
	extractor.compute（srcImage2?keypoints_scene?descriptors_scene）;*/

	//【5】使用FLANN匹配算子進行匹配??
	FlannbasedMatcher?matcher;
	vector?matches;
	matcher.match（descriptors_object?descriptors_scene?matches）;
	sort（matches.begin（）?matches.end（））;
	vector?good_matches;
	int?ptsPairs?=?std::min（30?（int）（matches.size（）?*?0.15））;//匹配點數量不大于20
	cout?<	for?（int?i?=?0;?i?	{
		good_matches.push_back（matches[i]）;//距離最小的50個壓入新的DMatch
	}
	//double?max_dist?=?0;?double?min_dist?=?100;//最小距離和最大距離??

	//										???//【6】計算出關鍵點之間距離的最大值和最小值??
	//for?（int?i?=?0;?i?riptors_object.rows;?i++）
	//{
	//	double?dist?=?matches[i].distance;
	//	if?（dist?	//	if?（dist?>?max_dist）?max_dist?=?dist;
	//}

	//printf（“>Max?dist?最大距離?:?%f?\n“?max_dist）;
	//printf（“>Min?dist?最小距離?:?%f?\n“?min_dist）;

	////【7】存下匹配距離小于3*min_dist的點對??
	//std::vector?good_matches;
	//for?（int?i?=?0;?i?riptors_object.rows;?i++）
	//{
	//	if?（matches[i].distance?	//	{
	//		good_matches.push_back（matches[i]）;
	//	}
	//}

	//繪制出匹配到的關鍵點??
	Mat?img_matches;
	drawMatches（srcImage1?keypoints_object?srcImage2?keypoints_scene
		good_matches?img_matches?Scalar::all（-1）?Scalar::all（-1）
		vector（）?DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS）;

	//定義兩個局部變量??
	vector?obj;
	vector?scene;

	//從匹配成功的匹配對中獲取關鍵點??
	for?（unsigned?int?i?=?0;?i?	{
		obj.push_back（keypoints_object[good_matches[i].queryIdx].pt）;
		scene.push_back（keypoints_scene[good_matches[i].trainIdx].pt）;
	}
	vector?listpoints;

	//Mat?H?=?findHomography（?obj?scene?CV_RANSAC?）;//計算透視變換???
	Mat?H?=?findHomography（obj?scene?CV_RANSAC?3