## Method

The method I used to implement the assignment was to pick a minimum
size to start to that was a .5 to some power of the original image size.
The number chosen needed to be enough to allow for the problems with the
edges not to creep in. From there I used a gaussian multiresolution
approach to speed up the search by limiting the number of tries on any
given level, and to further narrow the search of lower levels. The images
were matched using the vertical derivative of their images, so images with
many vertical features would probably fair poorly with this
implementation. Changing the matrix kernel to be a horizontal derivative
would solve this for those images.

## Results