#include
#include
#include
#include
#include

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

Point2f?getTransformPoint（const?Point2f?originalPoint?const?Mat?&transformMaxtri）;

int?main（）
{
	//Mat?srcImage1?=?imread（“D:\\opencv\\pictures\\SIFT_try\\1.png“）;
	Mat?srcImage1?=?imread（“D:\\研一文件夾\\上學(xué)期\\迷之課設(shè)\\課程設(shè)計(jì)\\demo-data\\im44.jpg“）;
	//Mat?srcImage1?=?imread（“D:\\研一文件夾\\上學(xué)期\\迷之課設(shè)\\課程設(shè)計(jì)\\demo-data\\building01.png“）;
	//Mat?srcImage1?=?imread（“D:\\opencv\\pictures\\視頻采集\\35.jpg“）;
	//Mat?srcImage1?=?imread（“D:\\opencv\\pictures\\視頻采集\\headPose_1.jpg“）;
	//Mat?srcImage1?=?imread（“D:\\opencv\\pictures\\eye_close.jpg“）;

	//Mat?srcImage2?=?imread（“D:\\opencv\\pictures\\視頻采集\\headPose_2.jpg“）;
	//Mat?srcImage2=?imread（“D:\\opencv\\pictures\\視頻采集\\79.jpg“）;
	//Mat?srcImage2?=?imread（“D:\\opencv\\pictures\\SIFT_try\\2.png“）;
	Mat?srcImage2?=?imread（“D:\\研一文件夾\\上學(xué)期\\迷之課設(shè)\\課程設(shè)計(jì)\\demo-data\\im54.jpg“）;
	//Mat?srcImage2?=?imread（“D:\\研一文件夾\\上學(xué)期\\迷之課設(shè)\\課程設(shè)計(jì)\\demo-data\\building02.png“）;

	if?（!srcImage1.data?||?!srcImage2.data）
	{
		cout?<		return?false;
	}

	imshow（“原始圖1“?srcImage1）;
	imshow（“原始圖2“?srcImage2）;

	////原？
	//int?minHessian?=?100;

	////改
	int?minHessian?=?700;
	Ptr?detector?=?SurfFeatureDetector::create（minHessian）;

	vector?key_points_1?key_points_2;

	Mat?dstImage1?dstImage2;
	detector->detectAndCompute（srcImage1?Mat（）?key_points_1?dstImage1）;
	detector->detectAndCompute（srcImage2?Mat（）?key_points_2?dstImage2）;//可以分成detect和compute

	Mat?img_keypoints_1?img_keypoints_2;
	drawKeypoints（srcImage1?key_points_1?img_keypoints_1?Scalar::all（-1）?DrawMatchesFlags::DEFAULT）;
	drawKeypoints（srcImage2?key_points_2?img_keypoints_2?Scalar::all（-1）?DrawMatchesFlags::DEFAULT）;

	PtrriptorMatcher>?matcher?=?DescriptorMatcher::create（“Flannbased“）;
	vectormach;

	matcher->match（dstImage1?dstImage2?mach）;
	double?Max_dist?=?0;
	double?Min_dist?=?100;
	for?（int?i?=?0;?i?	{
		double?dist?=?mach[i].distance;
		if?（dist?		if?（dist?>?Max_dist）Max_dist?=?dist;
	}
	cout?<	cout?<
	vectorgoodmaches;
	for?（int?i?=?0;?i?	{
		if?（mach[i].distance?			goodmaches.push_back（mach[i]）;
	}

	////改開始
	cout?<	cout?<	vector??RAN_KP1?RAN_KP2;
	for?（size_t?i?=?0;?i?
	{

		RAN_KP1.push_back（key_points_1[goodmaches[i].queryIdx]）;

		RAN_KP2.push_back（key_points_2[goodmaches[i].trainIdx]）;

		//RAN_KP1是要存儲img01中能與img02匹配的點(diǎn)

		//goodM

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????5113??2019-01-09?15:34??sift+surf匹配代碼\SIFT_RANSAC\main.cpp

?????文件???????2603??2018-11-07?22:58??sift+surf匹配代碼\SIFT_RANSAC\timer.cpp

?????文件??????12404??2019-01-09?21:54??sift+surf匹配代碼\SURF\main.cpp

?????目錄??????????0??2019-03-24?13:07??sift+surf匹配代碼\SIFT_RANSAC

?????目錄??????????0??2019-03-24?13:07??sift+surf匹配代碼\SURF

?????目錄??????????0??2019-03-24?13:07??sift+surf匹配代碼

-----------?---------??----------?-----??----

????????????????20120????????????????????6