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Robust Face Recognition System based on a multi view face database Dominique Gina, Fan Yang, Xiaojuan Liu, Jiangsu Dang, Michel Paindavoine To cite this version: Dominique Gina, Fan Yang, Xiaojuan
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What is robust face recognition system?
A robust face recognition system is a technology that can accurately identify and verify individuals by analyzing their facial features and comparing them with a database of known faces.
Who is required to file robust face recognition system?
The requirement to file a robust face recognition system depends on the specific rules and regulations set by the governing body or organization implementing the system. It may be required for law enforcement agencies, border control agencies, or any entity that needs to authenticate individuals based on their facial features.
How to fill out robust face recognition system?
The process of filling out a robust face recognition system may vary depending on the specific system being used. Generally, it involves capturing facial images or videos, extracting facial features, matching them with a database, and generating a result or output indicating the person's identity or level of likelihood.
What is the purpose of robust face recognition system?
The purpose of a robust face recognition system is to enhance security, streamline identification processes, and prevent unauthorized access. It can be used in various applications, such as criminal investigations, access control systems, surveillance, and identity verification.
What information must be reported on robust face recognition system?
The information reported on a robust face recognition system may include a person's facial image or video, biometric data extracted from the face, match results or similarity scores, and any additional metadata or contextual information relevant to the identification process.
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