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The utility of multiple synthesized views in the recognition of unfamiliar faces

The ability to recognize an unfamiliar individual on the basis of prior exposure to a photograph is notoriously poor and prone to errors, but recognition accuracy is improved when multiple photographs are available. In applied situations, when only limited real images are available (e.g., from a mug...

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Autores principales: Jones, Scott P., Dwyer, Dominic M., Lewis, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Routledge 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5214802/
https://www.ncbi.nlm.nih.gov/pubmed/26909545
http://dx.doi.org/10.1080/17470218.2016.1158302
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author Jones, Scott P.
Dwyer, Dominic M.
Lewis, Michael B.
author_facet Jones, Scott P.
Dwyer, Dominic M.
Lewis, Michael B.
author_sort Jones, Scott P.
collection PubMed
description The ability to recognize an unfamiliar individual on the basis of prior exposure to a photograph is notoriously poor and prone to errors, but recognition accuracy is improved when multiple photographs are available. In applied situations, when only limited real images are available (e.g., from a mugshot or CCTV image), the generation of new images might provide a technological prosthesis for otherwise fallible human recognition. We report two experiments examining the effects of providing computer-generated additional views of a target face. In Experiment 1, provision of computer-generated views supported better target face recognition than exposure to the target image alone and equivalent performance to that for exposure of multiple photograph views. Experiment 2 replicated the advantage of providing generated views, but also indicated an advantage for multiple viewings of the single target photograph. These results strengthen the claim that identifying a target face can be improved by providing multiple synthesized views based on a single target image. In addition, our results suggest that the degree of advantage provided by synthesized views may be affected by the quality of synthesized material.
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spelling pubmed-52148022017-02-08 The utility of multiple synthesized views in the recognition of unfamiliar faces Jones, Scott P. Dwyer, Dominic M. Lewis, Michael B. Q J Exp Psychol (Hove) Original Articles The ability to recognize an unfamiliar individual on the basis of prior exposure to a photograph is notoriously poor and prone to errors, but recognition accuracy is improved when multiple photographs are available. In applied situations, when only limited real images are available (e.g., from a mugshot or CCTV image), the generation of new images might provide a technological prosthesis for otherwise fallible human recognition. We report two experiments examining the effects of providing computer-generated additional views of a target face. In Experiment 1, provision of computer-generated views supported better target face recognition than exposure to the target image alone and equivalent performance to that for exposure of multiple photograph views. Experiment 2 replicated the advantage of providing generated views, but also indicated an advantage for multiple viewings of the single target photograph. These results strengthen the claim that identifying a target face can be improved by providing multiple synthesized views based on a single target image. In addition, our results suggest that the degree of advantage provided by synthesized views may be affected by the quality of synthesized material. Routledge 2017-05-04 2016-03-24 /pmc/articles/PMC5214802/ /pubmed/26909545 http://dx.doi.org/10.1080/17470218.2016.1158302 Text en © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/Licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Original Articles
Jones, Scott P.
Dwyer, Dominic M.
Lewis, Michael B.
The utility of multiple synthesized views in the recognition of unfamiliar faces
title The utility of multiple synthesized views in the recognition of unfamiliar faces
title_full The utility of multiple synthesized views in the recognition of unfamiliar faces
title_fullStr The utility of multiple synthesized views in the recognition of unfamiliar faces
title_full_unstemmed The utility of multiple synthesized views in the recognition of unfamiliar faces
title_short The utility of multiple synthesized views in the recognition of unfamiliar faces
title_sort utility of multiple synthesized views in the recognition of unfamiliar faces
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5214802/
https://www.ncbi.nlm.nih.gov/pubmed/26909545
http://dx.doi.org/10.1080/17470218.2016.1158302
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