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Leveraging Computer Vision Face Representation to Understand Human Face Representation

Face processing plays a critical role in human social life, from differentiating friends from enemies to choosing a life mate. In this work, we leverage various computer vision techniques, combined with human assessments of similarity between pairs of faces, to investigate human face representation....

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Detalles Bibliográficos
Autores principales: Ryali, Chaitanya K., Wang, Xiaotian, Yu, Angela J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336428/
https://www.ncbi.nlm.nih.gov/pubmed/34355219
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author Ryali, Chaitanya K.
Wang, Xiaotian
Yu, Angela J.
author_facet Ryali, Chaitanya K.
Wang, Xiaotian
Yu, Angela J.
author_sort Ryali, Chaitanya K.
collection PubMed
description Face processing plays a critical role in human social life, from differentiating friends from enemies to choosing a life mate. In this work, we leverage various computer vision techniques, combined with human assessments of similarity between pairs of faces, to investigate human face representation. We find that combining a shape- and texture-feature based model (Active Appearance Model) with a particular form of metric learning, not only achieves the best performance in predicting human similarity judgments on held-out data (both compared to other algorithms and to humans), but also performs better or comparable to alternative approaches in modeling human social trait judgment (e.g. trustworthiness, attractiveness) and affective assessment (e.g. happy, angry, sad). This analysis yields several scientific findings: (1) facial similarity judgments rely on a relative small number of facial features (8–12), (2) race- and gender-informative features play a prominent role in similarity perception, (3) similarity-relevant features alone are insufficient to capture human face representation, in particular some affective features missing from similarity judgments are also necessary for constructing the complete psychological face representation.
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spelling pubmed-83364282021-08-04 Leveraging Computer Vision Face Representation to Understand Human Face Representation Ryali, Chaitanya K. Wang, Xiaotian Yu, Angela J. Cogsci Article Face processing plays a critical role in human social life, from differentiating friends from enemies to choosing a life mate. In this work, we leverage various computer vision techniques, combined with human assessments of similarity between pairs of faces, to investigate human face representation. We find that combining a shape- and texture-feature based model (Active Appearance Model) with a particular form of metric learning, not only achieves the best performance in predicting human similarity judgments on held-out data (both compared to other algorithms and to humans), but also performs better or comparable to alternative approaches in modeling human social trait judgment (e.g. trustworthiness, attractiveness) and affective assessment (e.g. happy, angry, sad). This analysis yields several scientific findings: (1) facial similarity judgments rely on a relative small number of facial features (8–12), (2) race- and gender-informative features play a prominent role in similarity perception, (3) similarity-relevant features alone are insufficient to capture human face representation, in particular some affective features missing from similarity judgments are also necessary for constructing the complete psychological face representation. 2020 /pmc/articles/PMC8336428/ /pubmed/34355219 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY).
spellingShingle Article
Ryali, Chaitanya K.
Wang, Xiaotian
Yu, Angela J.
Leveraging Computer Vision Face Representation to Understand Human Face Representation
title Leveraging Computer Vision Face Representation to Understand Human Face Representation
title_full Leveraging Computer Vision Face Representation to Understand Human Face Representation
title_fullStr Leveraging Computer Vision Face Representation to Understand Human Face Representation
title_full_unstemmed Leveraging Computer Vision Face Representation to Understand Human Face Representation
title_short Leveraging Computer Vision Face Representation to Understand Human Face Representation
title_sort leveraging computer vision face representation to understand human face representation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336428/
https://www.ncbi.nlm.nih.gov/pubmed/34355219
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