opencvc++四个摄像头标定和去畸变的C++代码

以下是使用OpenCV进行四个摄像头标定和去畸变的C++代码示例：

标定：

// 定义标定板的大小
Size boardSize = Size(8, 6);

// 定义标定板上每个角点的实际坐标
vector<Point3f> objectPoints;
for (int i = 0; i < boardSize.height; i++) {
    for (int j = 0; j < boardSize.width; j++) {
        objectPoints.push_back(Point3f(j, i, 0));
    }
}

// 读取图像和角点坐标
vector<vector<Point2f>> imagePoints;
vector<vector<Point3f>> objectPointsList;
for (int i = 0; i < 4; i++) {
    string filename = "camera" + to_string(i) + ".png";
    Mat image = imread(filename);
    vector<Point2f> corners;
    bool found = findChessboardCorners(image, boardSize, corners, CALIB_CB_ADAPTIVE_THRESH + CALIB_CB_NORMALIZE_IMAGE + CALIB_CB_FAST_CHECK);
    if (found) {
        Mat gray;
        cvtColor(image, gray, COLOR_BGR2GRAY);
        cornerSubPix(gray, corners, Size(11, 11), Size(-1, -1), TermCriteria(TermCriteria::EPS + TermCriteria::COUNT, 30, 0.1));
        imagePoints.push_back(corners);
        objectPointsList.push_back(objectPoints);
    }
}

// 标定相机
Mat cameraMatrix[4], distCoeffs[4];
vector<Mat> rvecs[4], tvecs[4];
calibrateCamera(objectPointsList, imagePoints, Size(image.cols, image.rows), cameraMatrix, distCoeffs, rvecs, tvecs);

去畸变：

// 去畸变
Mat undistorted[4];
for (int i = 0; i < 4; i++) {
    string filename = "camera" + to_string(i) + ".png";
    Mat image = imread(filename);
    undistort(image, undistorted[i], cameraMatrix[i], distCoeffs[i]);
}

请注意，这只是一个示例代码，并且假定你已经拍摄了足够的图像来进行标定。在实际应用中，需要根据具体情况进行调整。