运用贝叶斯进行绿幕抠像时出现没有与参数列表匹配的重载函数实例错误

Question

在论坛下载的贝叶斯抠图代码，open cv3.4环境下运行时出现报错

void BayesianMatting::SolveBF(int r, int c, CvMat* fg_mean, CvMat* inv_fg_cov, CvMat* bg_mean, CvMat* inv_bg_cov)
{
    CvMat* A = cvCreateMat(6, 6, CV_32FC1);
    CvMat* x = cvCreateMat(6, 1, CV_32FC1);
    CvMat* b = cvCreateMat(6, 1, CV_32FC1);
    CvMat* I = cvCreateMat(3, 3, CV_32FC1);
    CvMat* work_3x3 = cvCreateMat(3, 3, CV_32FC1);
    CvMat* work_3x1 = cvCreateMat(3, 1, CV_32FC1);

    float alpha = CV_IMAGE_ELEM(alphamap, float, r, c);
    CvScalar fg_color = cvScalar(CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c), CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 1), CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 2));
    CvScalar bg_color = cvScalar(CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c), CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 1), CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 2));
    CvScalar  c_color = cvScalar(CV_IMAGE_ELEM(colorImg, uchar, r, 3 * c), CV_IMAGE_ELEM(colorImg, uchar, r, 3 * c + 1), CV_IMAGE_ELEM(colorImg, uchar, r, 3 * c + 2));

    float inv_sigmac_square = 1.f / (sigmac * sigmac);

    cvZero(I);
    CV_MAT_ELEM(*I, float, 0, 0) = CV_MAT_ELEM(*I, float, 1, 1) = CV_MAT_ELEM(*I, float, 2, 2) = 1.f;

    ////a
    cvCvtScale(I, work_3x3, alpha * alpha * inv_sigmac_square);
    cvAdd(inv_fg_cov, work_3x3, work_3x3);
    for (int i = 0; i < 3; ++i)
        for (int j = 0; j < 3; ++j)
            CV_MAT_ELEM(*A, float, i, j) = CV_MAT_ELEM(*work_3x3, float, i, j);

    //
    cvCvtScale(I, work_3x3, alpha * (1 - alpha) * inv_sigmac_square);
    for (int i = 0; i < 3; ++i)
        for (int j = 0; j < 3; ++j)
            CV_MAT_ELEM(*A, float, i, 3 + j) = CV_MAT_ELEM(*A, float, 3 + i, j) = CV_MAT_ELEM(*work_3x3, float, i, j);

    //
    cvCvtScale(I, work_3x3, (1 - alpha) * (1 - alpha) * inv_sigmac_square);
    cvAdd(inv_bg_cov, work_3x3, work_3x3);
    for (int i = 0; i < 3; ++i)
        for (int j = 0; j < 3; ++j)
            CV_MAT_ELEM(*A, float, 3 + i, 3 + j) = CV_MAT_ELEM(*work_3x3, float, i, j);

    ////x
    cvZero(x);

    ////b
    cvMatMul(inv_fg_cov, fg_mean, work_3x1);
    for (int i = 0; i < 3; ++i)
        CV_MAT_ELEM(*b, float, i, 0) = CV_MAT_ELEM(*work_3x1, float, i, 0) + (float)c_color.val[i] * alpha * inv_sigmac_square;
    //
    cvMatMul(inv_bg_cov, bg_mean, work_3x1);
    for (int i = 0; i < 3; ++i)
        CV_MAT_ELEM(*b, float, 3 + i, 0) = CV_MAT_ELEM(*work_3x1, float, i, 0) + (float)c_color.val[i] * (1 - alpha) * inv_sigmac_square;


    //
    cvSolve(A, b, x);
    CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c) = max(0, min(255, CV_MAT_ELEM(*x, float, 0, 0)));
    CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 1) = max(0, min(255, CV_MAT_ELEM(*x, float, 1, 0)));
    CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 2) = max(0, min(255, CV_MAT_ELEM(*x, float, 2, 0)));
    CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c) = max(0, min(255, CV_MAT_ELEM(*x, float, 3, 0)));
    CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 1) = max(0, min(255, CV_MAT_ELEM(*x, float, 4, 0)));
    CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 2) = max(0, min(255, CV_MAT_ELEM(*x, float, 5, 0)));

    cvReleaseMat(&A), cvReleaseMat(&x), cvReleaseMat(&b), cvReleaseMat(&I), cvReleaseMat(&work_3x3), cvReleaseMat(&work_3x1);
}

inline void BayesianMatting::SolveAlpha(int r, int c)
{
    CV_IMAGE_ELEM(alphamap, float, r, c) =
        (((float)CV_IMAGE_ELEM(colorImg, uchar, r, 3 * c) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c)) * ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c))
            + ((float)CV_IMAGE_ELEM(colorImg, uchar, r, 3 * c + 1) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 1)) * ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 1) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 1))
            + ((float)CV_IMAGE_ELEM(colorImg, uchar, r, 3 * c + 2) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 2)) * ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 2) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 2))
            ) /
            (
        ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c)) * ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c))
                + ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 1) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 1)) * ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 1) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 1))
                + ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 2) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 2)) * ((float)CV_IMAGE_ELEM(fgImg, uchar, r, 3 * c + 2) - (float)CV_IMAGE_ELEM(bgImg, uchar, r, 3 * c + 2))
                );

    CV_IMAGE_ELEM(alphamap, float, r, c) = max(0, min(1, CV_IMAGE_ELEM(alphamap, float, r, c)));
}

恳请大佬帮看看是为什么出错了，用的是VS2019

Answer 1

https://blog.csdn.net/chenxun_2010/article/details/38402951