Affine transformation for entire image using image points ?

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C++

OpenCV

image-processing

hello,

I have 2 sets of image points (x,y) from 2 images (ImgX, ImgY)

I would like to use these image points and find the affine transformation between the two images.

The getAffineTransform() function of openCV gives me a matrix of individual image points rather than a final matrix which I can apply for the entire image. So how do i get a final affine transformation matrix that can be applied for the image?

What I have tried:

vector<vector < Point2f > > imagePoints; //imagePoints[0] and imagePoints[1] are initilaized with x y values 
 
 Mat view ;  //ImgX is also loaded
 Mat viewGray = Mat::zeros( view.rows, view.cols, view.type() );

for (int j =0; j< imagePoints[0].size(); j++)
    {
       cv::Mat affImg= getAffineTransform( & imagePoints[0][j], & imagePoints[1][j]);
       cv::warpAffine(view,viewGray,affImg, view.size());
       showImage("Affine transform", viewGray);
       cv::waitKey(0);
    }

so, in the above case, do i need to push_back the affImg matrix in a vector of Matrix?