# Recover Affine Transform

## Using control points from 2 images

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Recently, I wrote code for the following:

Allow the user to mark n corresponding points on two images and recover the best affine transform using these control points.

# Functions

## click_event

It basically stores the coordinates of points clicked by the user for the first image.

## click_event2

It basically stores the coordinates of points clicked by the user for the second image.

After getting the coordinates, X = np.dot(np.inv(A),B) is performed to get the required six values, followed by applying the recovered matrix to the original image.

# Transformations

I have tested 3 transformations namely rotation, translation and scaling.

The sequence of output images is as follows:

1. original input image.

2. transformed input image.

3. output of applying recovered matrix using corresponding points on the original input image.

## Rotation

## Translation

## Scaling

Code can be accessed using this repository.