明视
面部表情
照度
暗视
表达式(计算机科学)
面部表情识别
光谱功率分布
计算机科学
行人
人工智能
计算机视觉
模式识别(心理学)
心理学
面部识别系统
工程类
运输工程
物理
光学
神经科学
程序设计语言
视网膜
作者
Tianyu Li,Hang SU,Songbo Zhang,Binglei Xie,Biao Yang
标识
DOI:10.1016/j.buildenv.2022.109896
摘要
One function of road lighting is to enable pedestrians to evaluate the intentions of other people or to make interpersonal judgement. This paper aims to investigate the effect of lighting conditions on the ability of pedestrian to recognize facial expressions of 3D models. Fifteen lighting conditions were examined: five vertical illuminances (0.33, 1.00, 3.33, 10.0, and 30.0 lx) crossing spectral power distribution with three different scotopic/photopic ratios (0.57, 1.77 and 25.13). The results show that recognition of 3D facial expressions tended to be improved as illuminance increased. However, manipulation on spectral power distribution would not lead to better performance on 3D facial expression recognition. Compared to previous studies that used 2D images as visual stimuli, the current results from the 3D model present a slightly better performance on facial expression recognition. These findings are expected to contribute to the recommendations of optimal lighting levels based on facial expression recognition, and provide further evidence for the development of lighting standards.
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