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AI has awakened super powers, and can recognize you by wearing a mask?

This is probably a misunderstanding. The basis of face recognition is the extraction of the entire face feature. If the captured face is highly similar to an existing face feature in the database, they are considered to be the same person.

Masks cover people’s mouth and nose, and lose a lot of facial feature information, so it is difficult to perform face recognition on faces wearing masks.

There is such a misunderstanding that it confuses face recognition and face detection.

Face detection refers to finding the position of a face from a picture. It does not care about what the face looks like and who it belongs to.

Face recognition focuses on identifying the unique identity of this face.

For example, in a non-sensing temperature scenario, we need face detection to confirm the position of the forehead in order to detect the temperature, and identity information is not necessary. Just like finding cats in pictures, the machine only needs to learn from a large number of faces wearing masks to find them in the real world.

Like a train station or high-speed rail station approaching scene, you need to check whether the holder’s face is consistent with the ID card information. At this time, you need to remove the mask for face recognition.

But can’t a face with a mask be recognized?

This depends on the specific scenario. For example, in a small community, the number of people is limited and the resident population is fixed. The information provided in the upper half of the face is enough to distinguish who this face belongs to. Judging from the news, some communities are piloting such applications to prevent non-residents from entering.

Don’t forget multimodality. If the gait information or action trajectory of the face owner can be obtained, and multiple types of information can be used together for identification, the identity of the person wearing the mask can also be determined.