<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Nowadays, we frequently use a lot of biometric identification technology means, such as: iris recognition, voice recognition and face recognition, but compared with other human biometric features, face information is easier to collect and more easily accepted by the public. According to the survey, in interpersonal contact, most people get information based on the first impression, even if there are changes in external conditions such as age, expression, makeup, etc., but the brain can still recognize these information, this phenomenon shows that face does have more feature information. From the information of a person's facial features, we can effectively distinguish each person. Face recognition is a technology that analyzes the face data and then uses it as an authentication mechanism. Generally, cameras are used to track and collect human faces, model theory and then analyze the collected binary data stream to extract relevant feature data. The research of human face recognition technology began in the middle of 1960s. After 1980s, due to the development of computer technology and the improvement of optical image processing technology, it gradually matured. The real use stage of face recognition is in the late 1990s, with Germany, Japan and the United States as the main technologies.</p>
</abstract>

Nowadays, we frequently use a lot of biometric identification technology means, such as: iris recognition, voice recognition and face recognition, but compared with other human biometric features, face information is easier to collect and more easily accepted by the public. According to the survey, in interpersonal contact, most people get information based on the first impression, even if there are changes in external conditions such as age, expression, makeup, etc., but the brain can still recognize these information, this phenomenon shows that face does have more feature information. From the information of a person's facial features, we can effectively distinguish each person. Face recognition is a technology that analyzes the face data and then uses it as an authentication mechanism. Generally, cameras are used to track and collect human faces, model theory and then analyze the collected binary data stream to extract relevant feature data. The research of human face recognition technology began in the middle of 1960s. After 1980s, due to the development of computer technology and the improvement of optical image processing technology, it gradually matured. The real use stage of face recognition is in the late 1990s, with Germany, Japan and the United States as the main technologies.

3D Face Feature Processing and Recognition Technology

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"3D Face Feature Processing and Recognition Technology"}

Nowadays, we frequently use a lot of biometric identification technology means, such as: iris recognition, voice recognition and face recognition, but compared...

3D Face Feature Processing and Recognition Technology

Data publikacji: 26 maj 2023

Zakres stron: 9 - 20

DOI: https://doi.org/10.2478/ijanmc-2022-0032

Słowa kluczowe
Face Recognition, Model Theory, Image Processing

© 2022 Hejing Wu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

3D Face Feature Processing and Recognition Technology

Data publikacji: 26 maj 2023

Zakres stron: 9 - 20

DOI: https://doi.org/10.2478/ijanmc-2022-0032

Słowa kluczoweFace Recognition, Model Theory, Image Processing

© 2022 Hejing Wu, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Face Recognition, Model Theory, Image Processing