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当比较面孔经过滤波和未经过滤波时,人脸识别的空间频率阈值。

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

作者信息

Collin Charles A, Therrien Megan, Martin Cheron, Rainville Stephane

机构信息

School of Psychology, University of Ottawa, Ottawa, Ontario, Canada.

出版信息

Percept Psychophys. 2006 Aug;68(6):879-89. doi: 10.3758/bf03193351.

Abstract

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.

摘要

先前的研究表明,中频空间频率(SFs)在人脸识别中具有优势。然而,最近的一些研究表明,当比较刺激和测试刺激以相似的方式进行空间滤波时,这种优势会减弱。在本研究中,我们使用标准的心理物理学方法,结合样本匹配任务,来确定在以下条件下进行面部匹配的SF阈值:(1)比较刺激未经过滤波;(2)比较刺激与测试刺激以相同的方式进行空间滤波。在两个实验中,我们表明,在前一种情况下,比后一种情况更倾向于选择更接近中频带的SFs。这些结果与以下观点一致,即中频带的SFs对任何视觉任务最有用,并且这个最佳中频带的宽度将根据任务特征而变化。

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