Hands-On Image Processing with Python

Robust image matching using the RANSAC algorithm and Harris Corner features

In this example, we will match an image with its affine transformed version; they can be considered as if they were taken from different view points. The following steps describe the image matching algorithm:

1. First, we will compute the interest points or the Harris Corners in both the images.
2. A small space around the points will be considered, and the correspondences in-between the points will then be computed using a weighted sum of squared differences. This measure is not very robust, and it's only usable with slight viewpoint changes.
3. A set of source and corresponding destination coordinates will be obtained once the correspondences are found; they are used to ...