1. Data acquisition method: 2D face recognition obtains face data by using ordinary 2D cameras or still images. 2D face recognition can capture face images in a long distance and in a short time. 3D face recognition needs to use a dedicated 3D sensor or depth camera to obtain face data. It captures the geometric features of human face in high-precision three-dimensional form.
2. Anti-attack performance: For the face recognition system in 2D images, there are some common attack methods, such as using fake face photos or masks to deceive the system. Because 3D face recognition has the ability to model a face in three dimensions, it can effectively identify the difference between a real face and a mask.
The use of face recognition
1. security field: traditional authentication methods such as passwords and cards are easy to be imitated or stolen, while face recognition technology can realize efficient and accurate identity authentication by analyzing and identifying facial appearance features. For example, in airports, banks, scientific research institutions and other places, face recognition technology can be used to monitor, identify and record the information of people entering and leaving, which effectively improves the security and confidentiality.
2. Social entertainment: In the social media platform, face recognition technology can automatically identify and mark people by analyzing photos uploaded by users. On the one hand, it is convenient for users to organize photos, on the other hand, it is also convenient for users to find friends and meet new friends on social networks.
3. Business field: Face recognition technology can be used to monitor and analyze customers' behaviors and preferences in real time, thus providing personalized recommendations and services. Face recognition technology can also be used for crowd statistics and passenger flow analysis to optimize the marketing strategy and layout of shopping malls. In hotels, restaurants and other service industries, face recognition technology can be used to achieve a more efficient check-in and payment process.
The above contents refer to Baidu Encyclopedia-Face Recognition.