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陌生面孔学习中视图不变人脸识别单元的证据。

Evidence for view-invariant face recognition units in unfamiliar face learning.

作者信息

Etchells David B, Brooks Joseph L, Johnston Robert A

机构信息

a Centre for Cognitive Neuroscience and Cognitive Systems, School of Psychology , University of Kent , Canterbury , UK.

出版信息

Q J Exp Psychol (Hove). 2017 May;70(5):874-889. doi: 10.1080/17470218.2016.1248453. Epub 2016 Nov 4.

DOI:10.1080/17470218.2016.1248453
PMID:27809666
Abstract

Many models of face recognition incorporate the idea of a face recognition unit (FRU), an abstracted representation formed from each experience of a face which aids recognition under novel viewing conditions. Some previous studies have failed to find evidence of this FRU representation. Here, we report three experiments which investigated this theoretical construct by modifying the face learning procedure from that in previous work. During learning, one or two views of previously unfamiliar faces were shown to participants in a serial matching task. Later, participants attempted to recognize both seen and novel views of the learned faces (recognition phase). Experiment 1 tested participants' recognition of a novel view, a day after learning. Experiment 2 was identical, but tested participants on the same day as learning. Experiment 3 repeated Experiment 1, but tested participants on a novel view that was outside the rotation of those views learned. Results revealed a significant advantage, across all experiments, for recognizing a novel view when two views had been learned compared to single view learning. The observed view invariance supports the notion that an FRU representation is established during multi-view face learning under particular learning conditions.

摘要

许多人脸识别模型都纳入了人脸识别单元(FRU)的概念,这是一种从每次面部体验中形成的抽象表征,有助于在新的观察条件下进行识别。先前的一些研究未能找到这种FRU表征的证据。在此,我们报告了三个实验,通过修改先前工作中的面部学习程序来研究这一理论结构。在学习过程中,向参与者展示一到两个之前不熟悉的面孔视图,并进行连续匹配任务。之后,参与者尝试识别所学面孔的已见视图和新视图(识别阶段)。实验1在学习一天后测试参与者对新视图的识别。实验2与之相同,但在学习当天对参与者进行测试。实验3重复实验1,但测试参与者对所学视图旋转范围之外的新视图的识别。结果显示,在所有实验中,与单视图学习相比,当学习了两个视图时,识别新视图具有显著优势。观察到的视图不变性支持了这样一种观点,即在特定学习条件下的多视图面部学习过程中会建立FRU表征。

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