人脸匹配中的自动识别系统与人机交互

E. Noyes, Matthew Q. Hill
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引用次数: 0

摘要

人脸有助于在安全和警务场景中进行识别。在这些环境中,近年来自动人脸识别系统的普及程度和准确性都有所提高。因此,曾经完全由人来完成的识别任务,现在是一个由人和机器共同完成的过程。自动人脸识别系统提供图像相似性比较,并可以创建候选列表以缩小潜在目标的范围。人们对这些系统的准确性以及算法在识别工作中可以发挥的作用越来越感兴趣。这些自动系统的设计、操作使用和有效性,以及人机识别的交互是本章的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Recognition Systems and Human Computer Interaction in Face Matching
The human face facilitates identification in security and policing scenarios. In these settings, automatic face recognition systems have increased in prevalence and accuracy in recent years. As a result, the identification task, which once fell entirely to humans, is now a process performed by man and machine. Automatic face recognition systems provide image similarity comparisons and can create candidate lists to narrow down potential targets. There is increasing interest in the accuracy of these systems, and the role that algorithms can play in the identification effort. The design, operational usage, and effectiveness of these automatic systems, as well as the interaction of human and computer recognition are the topics of this chapter.
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