The principle of face recognition

face recognition is a software-level algorithm, which is used to verify or identify a person's identity by processing video frames or digital images, in which the person's face is visible.

In fact, the machine is not good at recognizing images. For example, this image is just a string of and 1 data in the eyes of the machine, and the machine can't understand what this image means. So if we want the machine to learn to recognize images, we need to write a program algorithm for it.

When we describe a person's appearance, we usually use words like melon seeds, willow eyes, garlic nose and cherry mouth. The so-called appearance depends largely on the shape of human head and facial features.

this method was adopted in the earliest face recognition. First, the machine will identify the position of the face in the image, and then draw the outline of the five senses on this face to obtain the shape and position information of the five senses on the face. For example, the distance between the two eyes, the angle of the connecting line between the tip of the nose and the corners of the mouth in the horizontal direction, and so on.