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Feature-by-feature comparison and holistic processing in unfamiliar face matching

机译:陌生人脸匹配中的逐个特征比较和整体处理

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摘要

Identity comparisons of photographs of unfamiliar faces are prone to error but imperative for security settings, such as the verification of face identities at passport control. Therefore, finding techniques to improve face-matching accuracy is an important contemporary research topic. This study investigates whether matching accuracy can be enhanced by verbal instructions that address feature comparisons or holistic processing. Findings demonstrate that feature-by-feature comparison strategy had no effect on face matching. In contrast, verbal instructions focused on holistic processing made face matching faster, but they impaired accuracy. Given the recent evidence for the heredity of face perception and the previously reported small or no improvements of face-matching ability, it seems reasonable to suggest that improving unfamiliar face matching is not an easy task, but it is presumably worthwhile to explore new methods for improvement nonetheless.
机译:比较陌生面孔的照片的身份比较容易出错,但对于安全设置(例如在护照控制处验证面孔身份)非常重要。因此,寻找提高面部匹配精度的技术是当代重要的研究课题。这项研究调查了是否可以通过针对特征比较或整体处理的口头指示来提高匹配精度。结果表明,逐个特征的比较策略对脸部匹配没有影响。相比之下,专注于整体处理的口头指令使人脸匹配更快,但是却降低了准确性。鉴于最近关于面部感知遗传的证据以及先前报道的面部匹配能力的改善很小或没有改善,似乎有理由建议改善不熟悉的面部匹配不是一件容易的事,但大概值得探索新的方法来解决尽管如此。

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