加载相机矩阵和失真系数

Question

我正在尝试校准相机，使用AruCo标记进行头部姿势估计。我尝试用C ++中的OpenCV库进行校准但没有成功，所以我使用MATLAB相机校准工具箱校准了我的相机，我的AruCo标记检测代码是用C ++编写的，需要相机矩阵和失真系数作为参数。我的问题是如何在标记检测功能中加载这些参数。我尝试将相机矩阵和失真系数存储在数组中，它向我显示错误“类型int *的参数与int 的参数不兼容”。负责标记检测的部分代码如下。

    using namespace std;
    using namespace cv;

    int cameraMatrix[] =   { 4.499, 0, 1.827, 0, 4.485, 0.97, 0, 0, 1 };
    int  distanceCoefficients[] = { 0.20255, -0.45448, -0.00117, 0.00241, 0 };
    int startWebcamMonitoring(const int cameraMatrix, const int 
    distanceCoefficients, float arucoSquareDimensions)
{
     Mat frame, Croppedframe;

     vector<int> markerIds;
     vector < vector<Point2f>> markerCorners, rejectedCandidates;
     aruco::DetectorParameters parameters;

     Ptr<aruco::Dictionary> makerDiktionary = 

aruco :: getPredefinedDictionary（aruco :: PREDEFINED_DICTIONARY_NAME :: DICT_4X4_50）;

  VideoCapture vid(0);

 if (!vid.isOpened())
{
    return -1;
}

//namedWindow("Webcam", CV_WINDOW_AUTOSIZE);

vid.set(CAP_PROP_FRAME_WIDTH, 3840);
vid.set(CAP_PROP_FRAME_HEIGHT, 2160);

vector<Vec3d> rotationVectors, translationVectors;

while (true)
{
    vid >> frame;

    Croppedframe = frame(cv::Rect(1500, 850, 1250, 1250));

    if (!vid.read(frame))
        break;

    aruco::detectMarkers(Croppedframe, makerDiktionary, markerCorners, markerIds);
    aruco::estimatePoseSingleMarkers(markerCorners, arucoSquareDimension, cameraMatrix, distanceCoefficients, rotationVectors, translationVectors);

    for (int i = 0; i < markerIds.size(); i++)
    {
        aruco::drawAxis(Croppedframe, cameraMatrix, distanceCoefficients, rotationVectors[i], translationVectors[i], 0.1f);
        cout << translationVectors[i] << "translation" << "vector" << markerIds[i] << endl;
        markerIds[i] << endl;


    }
    imshow("Cropped Webcam", Croppedframe);
    //imshow("Webcam", frame);
    if (waitKey(30) >= 0) break;
}

return 1;

}
int main(int argv, char** argc)

{
startWebcamMonitoring(cameraMatrix, distanceCoefficients, 0.01f);

return 0;
}