How is face recognition realized?

Face recognition is a biometric identification technology based on face feature information. A series of related technologies, usually called portrait recognition and face recognition, are used to collect images or video streams containing faces, automatically detect and track faces in images, and then recognize the detected faces.

The traditional face recognition technology is mainly based on visible light images, which is also a familiar recognition method and has been developed for more than 30 years. However, this method has insurmountable defects, especially when the ambient illumination changes, the recognition effect will drop sharply, which can not meet the needs of the actual system. There are three-dimensional image face recognition and thermal imaging face recognition to solve the illumination problem. However, these two technologies are far from mature, and the recognition effect is not satisfactory.

The human face is born with other biological characteristics of the human body (fingerprint, iris, etc. ), its uniqueness and good characteristics of not being easily copied provide the necessary premise for identity authentication. Compared with other types of biometric identification, face recognition has the following characteristics:

Non-mandatory: users can unconsciously collect face images without special cooperation with face collection equipment, so this sampling method is not "mandatory";

Non-contact: users can get face images without direct contact with equipment;

Concurrency: multiple faces can be sorted, judged and recognized in practical application scenarios;

In addition, it also conforms to the visual characteristics: the characteristics of "judging people by their appearances" and the characteristics of simple operation, intuitive results and good concealment.