[Xaiph_Rahci]

It is not the same.

There are AI algorithms that 'enhance' blurred faces, however, the output 'looks' like real human face, but in all likelihood, different from the ground truth (i.e. the real face that got blurred). Therefore caution must be exercised in advocating such algorithms (e.g. in court of law)

Whereas this algorithm is 'just' enumerating the text, generating blur and finding the closest match to the original blur.

[c3534l]

Sure, but you could create physical models, rotate those physical models on top of the video, and see if certain faces are a better match. Obviously it helps if there's more pixels and it doesn't need to be proof in a court of law to be useful in some way, or at the very least an interesting experiment. Maybe another algorithm could do the trick. It does seem like a lot of information about a face is leaked when you have multiple samples, a moving grid sampling different parts of the face, etc. I mean, just by watching certain pixels get extra dark when they pass over parts of the face you can figure out approximately where the eyes are. That's probably enough to narrow down a large pool of suspects to a small one.