直接贴上源码
来源：http://www.myexception.cn/image/1498389.html
实验效果
Left.jpg????????????????????????????
right.jpg
ImageMatch.jpg
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#include <iostream>
#include <iomanip>
#include "opencv2/core/core.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/nonfree/nonfree.hpp"
#include "opencv2/imgproc/imgproc_c.h"
#include "opencv2/legacy/legacy.hpp"
#include "opencv2/legacy/compat.hpp"
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using namespace cv;
using namespace std;
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int main()
{
????Mat leftImg=imread("left.jpg");
????Mat rightImg=imread("right.jpg");
????if(leftImg.data==NULL||rightImg.data==NULL)
????????return 0;
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????//转化成灰度图
????Mat leftGray;
????Mat rightGray;
????cvtColor(leftImg,leftGray,CV_BGR2GRAY);
????cvtColor(rightImg,rightGray,CV_BGR2GRAY);
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????//获取两幅图像的共同特征点
????int minHessian=400;
????SurfFeatureDetector detector(minHessian);
????vector<KeyPoint> leftKeyPoints,rightKeyPoints;
????detector.detect(leftGray,leftKeyPoints);
????detector.detect(rightGray,rightKeyPoints);
????SurfDescriptorExtractor extractor;
????Mat leftDescriptor,rightDescriptor;
????extractor.compute(leftGray,leftKeyPoints,leftDescriptor);
????extractor.compute(rightGray,rightKeyPoints,rightDescriptor);
????FlannBasedMatcher matcher;
????vector<DMatch> matches;
????matcher.match(leftDescriptor,rightDescriptor,matches);????
????int matchCount=leftDescriptor.rows;
????if(matchCount>15)
????{
????????matchCount=15;
????????//sort(matches.begin(),matches.begin()+leftDescriptor.rows,DistanceLessThan);
????????sort(matches.begin(),matches.begin()+leftDescriptor.rows);
????}????
????vector<Point2f> leftPoints;
????vector<Point2f> rightPoints;
????for(int i=0; i<matchCount; i++)
????{
????????leftPoints.push_back(leftKeyPoints[matches[i].queryIdx].pt);
????????rightPoints.push_back(rightKeyPoints[matches[i].trainIdx].pt);
????}
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????//获取左边图像到右边图像的投影映射关系
????Mat homo=findHomography(leftPoints,rightPoints);
????Mat shftMat=(Mat_<double>(3,3)<<1.0,0,leftImg.cols, 0,1.0,0, 0,0,1.0);
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????//拼接图像
????Mat tiledImg;
????warpPerspective(leftImg,tiledImg,shftMat*homo,Size(leftImg.cols+rightImg.cols,rightImg.rows));
????rightImg.copyTo(Mat(tiledImg,Rect(leftImg.cols,0,rightImg.cols,rightImg.rows)));
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????//保存图像
????imwrite("tiled.jpg",tiledImg);
????????
????//显示拼接的图像
????imshow("tiled image",tiledImg);
????waitKey(0);
????return 0;
}