Abstract
The overall objective of the main project is to propose and develop a system of facial authentication in unlocking phones or applications in phones using facial recognition. The system will include four separate architectures: face detection, face recognition, face spoofing, and classification of closed eyes. In which, we consider the problem of face recognition to be the most important, determining the true identity of the person standing in front of the screen with absolute accuracy is what facial recognition systems need to achieve. Along with the development of the face recognition problem, the problem of the anti-fake face is also gradually becoming popular and equally important. Our goal is to propose and develop two loss functions: LMCot and Double Loss. Then apply them to the face authentication process.
Abstract (translated)
该项目的总体目标是提出和开发一种在解锁手机或在手机上使用面部识别的面部验证系统。该系统将包括四个独立的架构:面部检测、面部识别、面部模拟和闭眼分类。我们认为面部识别的问题是最重要的,以绝对的准确性确定站在屏幕前的人的真实身份是面部识别系统需要实现的。随着面部识别问题的发展,反伪造面部也 gradually变得越来越流行和同样重要。我们的的目标是提出和开发两个损失函数:LMCot和Double Loss,并将它们应用于面部验证过程。
URL
https://arxiv.org/abs/2302.11427
