4 deleted 6 characters in body

So we have such situation:

pic 1

In my particular case the Image Plane has 3 quadrilaterals - projections of real world squares, which, as we know, have same size, lying on the same plane, with same rotation relative to the plane they are lying on, and are not situated on same line on plane.

pic 2

I wonder if we can get rotation angles of Image Plane to World Plane knowing stuff described?

In my case as input I have such data structures: original image (RGB pixels), objects (squares) with angles points in pixels (x,y) on Image Plane.

Problem I am describing is generally known as pose estimation - determining the 3D orientation and position of an object relative to a camera from a 2D view.

3 added 162 characters in body

So we have such situation:

pic 1

In this illustration, the first quadrilateral is shown on the Image Plane and the second quadrilateral is shown on the World Plane. [1]

In my particular case the Image Plane has 3 quadrilaterals - projections of real world squares, which, as we know, have same size, lying on the same plane, with same rotation relative to the plane they are lying on, and are not situated on same line on plane.

pic 2

I wonder if we can get rotation angles of Image Plane to World Plane knowing stuff described?

In my case as input I have such data structures: original image (RGB pixels), objects (squares) with angles points in pixels (x,y) on Image Plane.

Problem I am describing is generally known as pose estimation - determining the 3D orientation and position of an object relative to a camera from a 2D view.

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