可用性测试的覆盖,以提高人脸捕捉

M. Theofanos, Brian C. Stanton, Yee-Yin Choong, R. Micheals
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引用次数: 4

摘要

拍脸部照片很容易,不是吗?如果那张照片是用来输入自动面部识别系统的呢?那么,为什么即使在过境点或入境点这样的“俘虏观众”面前,还有那么多的人脸照片不适合人脸识别呢?在之前的一项研究中,作者建议使用“面部覆盖”——一种可以叠加到实时视频馈送上的视觉网格,以促进面部图像捕获过程。在本研究中,我们对视觉覆盖的可视性、效率、有效性和用户满意度进行了详细的定性和定量分析。一项受控可用性研究的结果表明,即使摄影师没有事先接受过培训,覆盖也能改善面部图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Usability testing of an overlay to improve face capture
It's easy to take a face photograph, isn't it? What if that photograph is intended for input into an automatic face recognition system? Why is it then, even with a "captive audience" such as at a border crossing or point of entry, are so many face photographs unsuitable for face recognition? In a previous study, the authors suggested the use of a "face overlay" — a visual reticule that may be superimposed onto a live video feed to facilitate the face image capture process. In this study, we provide a detailed qualitative and quantitative analysis of the affordance, efficiency, effectiveness, and user-satisfaction of the visual overlay. Results of a controlled usability study suggest that the overlay improves face image quality, even when photographers are provided with no prior training.
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