Three-dimensional dynamic face recognition realizes three-dimensional face modeling, that is, the key feature points of face, such as eyes, nose tip, mouth corner, eyebrows and contour points of various parts of face, are automatically located according to the input face image.
Face recognition is a biometric technology based on facial feature information. A series of related technologies, such as portrait recognition and face recognition, use cameras to collect images or video streams containing faces, and automatically detect and track faces in images.
Principle of 3D dynamic face recognition technology;
1, and the core technology is neural network algorithm. Stored a clear face image, the computer will automatically collect many features of the face, such as the location of pores, the thickness of wrinkles, the size of lying silkworms and so on.
2.3D face recognition has an automatic learning mechanism. Every time I brush my face, the environment, light, posture and so on. It can't be exactly the same The computer system will learn the characteristics of details according to the first photo, and then you will collect more data every time you use it.
3, sleep state, pictures and posters are unrecognizable. Because the image taken by the camera is 3D modeling, it is not feasible to unlock the photo.