What is face recognition?

Two soft of problem:

• Face verification : one to one problem, one image matching name/ID

• Face recognition: one to many problem, one matching many face images

face verification is a one shot problem.

One Shot Learning

It means that learning from one example to recognize the person again.

so meaning that you have only one image of this person in the database, but you may recognize this person from the camera when it shows up.

The traditional CNN with a SoftMax output layer struggles with the introduction of new classes. For example, when a new employee joins the team, the model typically requires retraining and an adjustment to the SoftMax output to accommodate the new identity.

So the problem should be reformed to Leaning a “similarity“ function; meaning that comparing two images by measuring the degree of difference between them.

if the difference of two images less than a value, then we think they are the same.