opencv图像拼接 C++

以下是使用OpenCV C++进行图像拼接的示例代码：

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main()
{
    // 读取需要拼接的两张图片
    Mat img1 = imread("image1.jpg");
    Mat img2 = imread("image2.jpg");

    // 转换为灰度图
    Mat gray1, gray2;
    cvtColor(img1, gray1, COLOR_BGR2GRAY);
    cvtColor(img2, gray2, COLOR_BGR2GRAY);

    // 提取特征点
    vector<KeyPoint> keypoints1, keypoints2;
    Ptr<FeatureDetector> detector = ORB::create();
    detector->detect(gray1, keypoints1);
    detector->detect(gray2, keypoints2);

    // 计算特征描述子
    Mat descriptors1, descriptors2;
    Ptr<DescriptorExtractor> descriptor = ORB::create();
    descriptor->compute(gray1, keypoints1, descriptors1);
    descriptor->compute(gray2, keypoints2, descriptors2);

    // 特征点匹配
    vector<DMatch> matches;
    Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("BruteForce-Hamming");
    matcher->match(descriptors1, descriptors2, matches);

    // 筛选匹配点
    vector<Point2f> points1, points2;
    for (int i = 0; i < matches.size(); i++)
    {
        points1.push_back(keypoints1[matches[i].queryIdx].pt);
        points2.push_back(keypoints2[matches[i].trainIdx].pt);
    }

    // 计算单应性矩阵
    Mat H = findHomography(points2, points1, RANSAC);

    // 图像拼接
    Mat result;
    warpPerspective(img2, result, H, Size(img1.cols + img2.cols, img1.rows));
    Mat half(result, Rect(0, 0, img1.cols, img1.rows));
    img1.copyTo(half);

    // 显示拼接结果
    imshow("Result", result);
    waitKey(0);

    return 0;
}