可视化智能门锁中的3D人脸识别性能测试方法的探究

Research on the Performance Testing Methods of Facial Recognition in Visual Smart Locks

面对3D人脸识别算法在可视化智能门锁上广泛应用的现状,本文通过对比目前智能门锁市场上常用的3D人脸识别技术,提出了一种以认假率(FAR)和拒真率(FRR)为核心评价指标的3D人脸识别性能试验方法。本文详细介绍了该方法的测试人脸库的选择、测试流程的设计和评价指标的统计方法,并通过实际案例的试验,为智能门锁人脸识别技术的性能测试方法提供了一种参考。

In light of the widespread application of 3D facial recognition algorithms in visual-based intelligent locks,this paper proposes a performance testing method for 3D facial recognition,focusing on two core evaluation metrics:False Acceptance Rate(FAR)and False Rejection Rate(FRR).By comparing the commonly used 3D facial recognition technologies in the current intelligent lock market,the paper provides a detailed explanation of the selection of the fa-cial database for testing,the design of the testing process,and the statistical methods for the evaluation metrics.Through practical case experiments,this paper offers a reference for the performance testing methods of facial recognition tech-nology in intelligent locks.