Question on 2D projective transformation

The help page on Matrix Representation of geometric tranformations, under 2D projective transformations states that in the transformation matrix

[1 0 E; 0 1 F; 0 0 1]

That E and F influence the vanishing point. These seem to emulate rotating the image around the x or y axis if this were a 3D object being rotated. So if I take an image of a dot grid, e.g.

And I perform the following

t = [1 0 .002; 0 1 0; 0 0 1]
tform = projective2d(t);
outImg = imwarp(im,tform);

I get this image as a result

So if my x axis were left/right and y axis up/down this seems to rotate around the y axis. I would like to control the angle of rotation, what exactly does .002 represent here? What I'd like to do is simulate rotating this image, say 3 degrees around the y axis.

[Meriem Chetmi]

Hello,

did you maybe find the relation between the rotation angles and these E , F parameters? I'm facing the same problem

Thank you

[Michael]

Hi, I did not look into this any further. My goal was to create images while simulating rotation around the x,y,z axis. I ended up doing this with the OpenCV function WarpPerspective.