Memory and Perception-based Facial Image Reconstruction

Abstract Visual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, the pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this i...

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Autores principales:	Chi-Hsun Chang, Dan Nemrodov, Andy C. H. Lee, Adrian Nestor
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a84c12f75ae14ff19e03fb9ad7ef5fac
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id	oai:doaj.org-article:a84c12f75ae14ff19e03fb9ad7ef5fac
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spelling	oai:doaj.org-article:a84c12f75ae14ff19e03fb9ad7ef5fac2021-12-02T11:41:11ZMemory and Perception-based Facial Image Reconstruction10.1038/s41598-017-06585-22045-2322https://doaj.org/article/a84c12f75ae14ff19e03fb9ad7ef5fac2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06585-2https://doaj.org/toc/2045-2322Abstract Visual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, the pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this issue by reconstructing face images from both perceptual and memory-based behavioural data. Specifically, our work builds upon and further validates the hypothesis that visual memory and perception share a common representational basis underlying facial identity recognition. To this end, we derived facial features directly from perceptual data and then used such features for image reconstruction separately from perception and memory data. Successful levels of reconstruction were achieved in both cases for newly-learned faces as well as for familiar faces retrieved from long-term memory. Theoretically, this work provides insights into the content of memory-based representations while, practically, it may open the path to novel applications, such as computer-based ‘sketch artists’.Chi-Hsun ChangDan NemrodovAndy C. H. LeeAdrian NestorNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chi-Hsun Chang Dan Nemrodov Andy C. H. Lee Adrian Nestor Memory and Perception-based Facial Image Reconstruction
description	Abstract Visual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, the pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this issue by reconstructing face images from both perceptual and memory-based behavioural data. Specifically, our work builds upon and further validates the hypothesis that visual memory and perception share a common representational basis underlying facial identity recognition. To this end, we derived facial features directly from perceptual data and then used such features for image reconstruction separately from perception and memory data. Successful levels of reconstruction were achieved in both cases for newly-learned faces as well as for familiar faces retrieved from long-term memory. Theoretically, this work provides insights into the content of memory-based representations while, practically, it may open the path to novel applications, such as computer-based ‘sketch artists’.
format	article
author	Chi-Hsun Chang Dan Nemrodov Andy C. H. Lee Adrian Nestor
author_facet	Chi-Hsun Chang Dan Nemrodov Andy C. H. Lee Adrian Nestor
author_sort	Chi-Hsun Chang
title	Memory and Perception-based Facial Image Reconstruction
title_short	Memory and Perception-based Facial Image Reconstruction
title_full	Memory and Perception-based Facial Image Reconstruction
title_fullStr	Memory and Perception-based Facial Image Reconstruction
title_full_unstemmed	Memory and Perception-based Facial Image Reconstruction
title_sort	memory and perception-based facial image reconstruction
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a84c12f75ae14ff19e03fb9ad7ef5fac
work_keys_str_mv	AT chihsunchang memoryandperceptionbasedfacialimagereconstruction AT dannemrodov memoryandperceptionbasedfacialimagereconstruction AT andychlee memoryandperceptionbasedfacialimagereconstruction AT adriannestor memoryandperceptionbasedfacialimagereconstruction
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Memory and Perception-based Facial Image Reconstruction

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