Aggarwal was inspired by a facial-recognition technique called sparse representation, which matches an image of a face by comparing it with combinations of individual features from faces already recorded in a database. If the closest matching combination turns out to be made up of features mostly drawn from one person in the database, it is a good bet to say the target image is also of that person. But if the best match combines features pulled from images of many different people then the system has failed to identify the new face.This interesting technique for face recognition doesn't really do face recognition at all. It does left eye recognition, right eye recognition, nose recognition and mouth recognition, and then it sees if the top results of each query belong on the same face. That's an impressive leap of imagination.
If you're sole interest is in thwarting facial recognition systems, you may consider trying out some of the pointers at cvdazzle.com before rhinoplasty because in terms of facial recognition, expense, reversibility and pain:
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| Images: CVDazzle & Wikipedia |
via @HodgeBarry & WSJ
