Burton, A Mike orcid.org/0000-0002-2035-2084, Kramer, Robin S S, Ritchie, Kay L et al. (1 more author) (2016) Identity From Variation:Representations of Faces Derived From Multiple Instances. COGNITIVE SCIENCE. pp. 202-223. ISSN 0364-0213
Abstract
Research in face recognition has tended to focus on discriminating between individuals, or "telling people apart." It has recently become clear that it is also necessary to understand how images of the same person can vary, or "telling people together." Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across different photos of the same person. We demonstrate that people vary in systematic ways, and that this variability is idiosyncratic-the dimensions of variability in one face do not generalize well to another. Learning a new face therefore entails learning how that face varies. We present evidence for this proposal and suggest that it provides an explanation for various effects in face recognition. We conclude by making a number of testable predictions derived from this framework.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2015 Cognitive Science Society, Inc. All rights reserved. This is the author produced peer reviewed version of the following article: Burton, A. M., Kramer, R. S. S., Ritchie, K. L. and Jenkins, R. (2015), Identity From Variation: Representations of Faces Derived From Multiple Instances. Cognitive Science, which has been published in final form at DOI: 10.1111/cogs.12231. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Face learning,Face recognition,Familiarity,Principal components analysis,Variability,Learning,Facial Recognition,Humans,Principal Component Analysis |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION 20120411 ECONOMIC AND SOCIAL RESEARCH COUNCIL (ESRC) ES/J022950/2 |
Depositing User: | Pure (York) |
Date Deposited: | 07 Oct 2015 11:15 |
Last Modified: | 07 Jan 2025 00:08 |
Published Version: | https://doi.org/10.1111/cogs.12231 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1111/cogs.12231 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85534 |