OpenCV中的图像变换与点变换不匹配

我正在使用 ThinPlateSplineShapeTransformer 来自OpenCV3.4.2条在C++中。另外,使用相同的对象,我想从目标图像的初始图像中扭曲3个点。要可视化转换,我使用3个三角形:

1. 绿色:在原图上画的三角形。这个会是
2. 蓝色:参考三角形(初始坐标)

原始图像用三角形增强以供参考:

代码:

void transform()
{
    Mat img = imread("test.jpg"); // the posted original image
    auto tps = cv::createThinPlateSplineShapeTransformer();
    std::vector<cv::Point2f> sourcePoints, targetPoints, myPoints;
    sourcePoints.push_back(cv::Point2f(0, 0));
    targetPoints.push_back(cv::Point2f(100, 0));
    sourcePoints.push_back(cv::Point2f(650, 40));
    targetPoints.push_back(cv::Point2f(500, 0));
    sourcePoints.push_back(cv::Point2f(0, 599));
    targetPoints.push_back(cv::Point2f(0, 450));
    sourcePoints.push_back(cv::Point2f(799, 599));
    targetPoints.push_back(cv::Point2f(600, 599));

    std::vector<cv::DMatch> matches;
    for (unsigned int i = 0; i < sourcePoints.size(); i++)
        matches.push_back(cv::DMatch(i, i, 0));

    tps->estimateTransformation(sourcePoints, targetPoints, matches);
    std::vector<cv::Point2f> transPoints, transPoints2;

    //======== draw test points
    myPoints.push_back(Point2f(100, 100));
    myPoints.push_back(Point2f(200, 200));
    myPoints.push_back(Point2f(100, 400));
    line(img, myPoints[0], myPoints[1], Scalar(0, 255, 0), 3);
    line(img, myPoints[1], myPoints[2], Scalar(0, 255, 0), 3);
    line(img, myPoints[2], myPoints[0], Scalar(0, 255, 0), 3);

    //========= warp image
    Mat img2 = img.clone();
    tps->warpImage(img, img2);

    //========= warp points
    tps->applyTransformation(myPoints, transPoints);
    //tps->applyTransformation(transPoints2, transPoints);
    line(img2, transPoints[0], transPoints[1], Scalar(0, 0, 255), 3);
    line(img2, transPoints[1], transPoints[2], Scalar(0, 0, 255), 3);
    line(img2, transPoints[2], transPoints[0], Scalar(0, 0, 255), 3);

    //========== draw reference points
    line(img2, myPoints[0], myPoints[1], Scalar(255, 0, 0), 3);
    line(img2, myPoints[1], myPoints[2], Scalar(255, 0, 0), 3);
    line(img2, myPoints[2], myPoints[0], Scalar(255, 0, 0), 3);

    imshow("img", img);
    imshow("img2", img2);

    get_test_contur();
    waitKey(0);
}