I would like to take several rotated images of a rectangular room like this and rotate them such that the long side of the room is parallel to the x-axis like this in Python. A friend recommended using SVD, and from what I understand I need to use the Numpy or SciPy SVD, find the angle difference between the image and the x-axis, and rotate the image by the angle difference. I do not fully understand SVD, so what do I do once I have gotten the SVD?
Any help would be appreciated. Thank you!
SVD is similar to PCA, it will find the "natural" axes in your data (read wikipedia or any other doco for more rigorous explanation of what "natural" means). The U matrix returned by SVD is the rotation matrix you are after (that is between the original x-y axis of your data, and the "natural" axes found by SVD).
