| International Journal of Advanced Network, Monitoring, and Controls | |
| 3D Face Feature Processing and Recognition Technology | |
| article | |
| Hejing Wu1  | |
| [1] East University of Heilongjiang | |
| 关键词: Face Recognition; Model Theory; Image Processing; | |
| DOI : 10.2478/ijanmc-2022-0032 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Asociación Regional De Diálisis Y Trasplantes Renales | |
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【 摘 要 】
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.
【 授权许可】
CC BY-NC-ND
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307160003456ZK.pdf | 789KB |
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