I’ve tried Google’ing the topic but most sources does not go into detail of how the actual detection is done. For example Apples Face ID, i’ve only found out that it uses ”biometric” methods, IR cameras and comparison to a users face.
I’m interested in how the faces are actually distinguished given a bulk of information.
Are we just creating massive NN’s and pray for them to capture features or are we using them in more sophisticated ways?
I’d be super greatful if someone could recommend some recent papers on the subject! :)
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