University project, part of a computer vision unit. The task was to recognise a specific object within a large image containing different objects.
The point of this exercise was to deprecate this way of dealing with image recognition, in favour of the much more efficient SIFT approach (by David Lowe).
We could think of this as the “brute force” compared to the optimised corner detection algorithm. This means that the current approach does work but is not efficient.
Look at the screen
This project did not excite me a lot, but had to be done.