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Spatial frequency thresholds for face recognition when comparison faces are filtered and unfiltered

机译:筛选和未筛选比较面部时用于面部识别的空间频率阈值

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摘要

Previous work has shown an advantage of middle spatial frequencies (SFs) in face recognition. However, a few recent studies have suggested that this advantage is reduced when comparison and test stimuli are spatially filtered in a similar way. In the present study, we used standard psychophysical methods, in combination with a match-to-sample task, to determine the SF thresholds for face matching under conditions in which: (1) comparison stimuli were unfiltered and (2) comparison stimuli were spatially filtered in the same way as test stimuli. In two experiments, we show that SFs closer to the middle band are sought out more in the former case than in the latter. These results are compatible with the idea that a middle band of SFs will be most useful for any visual task and that the breadth of this optimal middle band will vary depending on task characteristics.
机译:先前的工作显示了人脸识别中中等空间频率(SF)的优势。但是,最近的一些研究表明,当比较和测试刺激以类似方式在空间上进行过滤时,这种优势会降低。在本研究中,我们使用标准的心理物理方法,结合“匹配样本”任务来确定以下条件下人脸匹配的SF阈值:(1)未过滤比较刺激和(2)空间比较刺激以与测试刺激相同的方式进行过滤。在两个实验中,我们表明,在前一种情况下比在后一种情况下,更靠近中频带的SF被寻求。这些结果与以下观点一致:SF的中带对于任何视觉任务都是最有用的,并且该最佳中带的广度将根据任务特征而变化。

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