The face-space duality hypothesis: a computational model

Title
The face-space duality hypothesis: a computational model
Publication Date
2016
Author(s)
Vitale, Jonathan
( author )
OrcID: https://orcid.org/0000-0001-6099-675X
Email: jvitale@une.edu.au
UNE Id une-id:jvitale
Williams, Mary-Anne
Johnston, Benjamin
Editor
Editor(s): A. Papafragou, Daniel J. Grodner, D. Mirman, And J. Trueswell
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Cognitive Science Society
Place of publication
United States of America
UNE publication id
une:1959.11/59490
Abstract

Valentine's face-space suggests that faces are represented in a psychological multidimensional space according to their perceived properties. However, the proposed framework was initially designed as an account of invariant facial features only, and explanations for dynamic features representation were neglected. In this paper we propose, develop and evaluate a computational model for a twofold structure of the face-space, able to unify both identity and expression representations in a single implemented model. To capture both invariant and dynamic facial features we introduce the face-space duality hypothesis and subsequently validate it through a mathematical presentation using a general approach to dimensionality reduction. Two experiments with real facial images show that the proposed face-space: (1) supports both identity and expression recognition, and (2) has a twofold structure anticipated by our formal argument.

Link
Citation
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 38(0), p. 514-519
Start page
514
End page
519

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