<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...

Field	Type	Instructions
Request_id	string	Distinguish each request, unique value
Faces	An array of string	The array of faces that were detected
Image_id	An array of string	The identification of the detected picture
Time_used	The integer	The time taken for the entire request, in milliseconds.
Error_message	string	Request failure information
Face_num	The integer	The number of faces recognized

Field	Type	Instructions
Face_token	string	Identification of human face
Face_rectangle	object	The position of the face box contains the following attributes.Top: The ordinate of the upper left corner of the face boxleft: The abscissa of the upper left corner of the face boxwidth: The width of the face frameHeight: The height of the face frame
Landmark	object	Coordinates of key points
Attributes	object	Facial feature information

3D Face Feature Processing and Recognition Technology

Pubblicato online: 26 mag 2023

Pagine: 9 - 20

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

Parole chiave
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.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Description of returned values

Faces array values

3D Face Feature Processing and Recognition Technology

Pubblicato online: 26 mag 2023

Pagine: 9 - 20

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

Parole chiaveFace 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.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

Figure 7.

Figure 8.

Figure 9.

Figure 10.

Description of returned values

Faces array values

Parole chiave
Face Recognition, Model Theory, Image Processing