论文标题
实时面部识别系统
Real-Time Face Recognition System
论文作者
论文摘要
在过去的几十年中，对面部识别算法的兴趣一直在迅速增长，甚至超过了人类水平的表现。尽管取得了成就，但由于高计算成本，它们与实时性能系统的实践整合是不可行的。因此，在本文中，我们探讨了可以轻松地与实时设备集成的最新，快速，准确的面部识别系统，并在机器人硬件平台上测试了算法，以确认其稳健性和速度。
Over the past few decades, interest in algorithms for face recognition has been growing rapidly and has even surpassed human-level performance. Despite their accomplishments, their practical integration with a real-time performance-hungry system is not feasible due to high computational costs. So in this paper, we explore the recent, fast, and accurate face recognition system that can be easily integrated with real-time devices, and tested the algorithms on robot hardware platforms to confirm their robustness and speed.
