In MATLAB, create a code that incoporates stereo vision by distorting two images that are identical to each other $($such as the posted image$)$ so they can perfectly match when aligned. To do so$,$ the algorithm has to be fed with $5$ to $20$ examples of points in one image, and their corresponding matching points in the other image. With these pairs $(5$ to $20)$ you have to build a spline capable of approximating all corresponding points of one image in the second image $($generalization based on the set of $5$ to $20$ examples$).$ Once the spline is built, you can distort one image to match the other, just by going pixel by pixel and shifting it to its corresponding position in the other image. The result is a distorted images that perfectly lines up when superimposed on the other $($although with some grooves or missing parts due to the distortion, i$.$e$.$ like stretched$).$ Also, show proof that the code works.