Hi!
I want to write an android app that:
allows user to upload pics into collection
allows user to write a note for each pic (his name, for example)
pointing camera at a person displays their note (if their pic is in the collection)
user can add another user to friendlist
pointing camera also displays notes of users that are in your friend's collection
My questions are:
1. I know that i can get 128-digit face descriptor using neural networks, but can I get a descriptor for a face that didn't take part in the training?
2. How fast is the process of face descriptor calculation? Is an average smartphone able to handle this operation? For example, in my case the descriptor needs to be calculated in the camera and then compared to ~100 descriptors of user's friends. As far as I'm concerned, i can use face-tracking (which is applied for masks in apps like msqrd and instagram) to fix certain face in camera, to prevent calculating and comparing descriptors on every frame.
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