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The face-space duality hypothesis: a computational model

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Jonathan Vitale, Mary-Anne Williams, Benjamin Johnston

Computer Vision and Pattern Recognition · Submitted 23 Sep 2016

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim 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.

how it is stated · asserted 1.00 read the record →

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arXiv ID1609.07371 (version 1)
Pith IDY7RXL2LL, Pith's permanent record of this paper and its review
CitationBenjamin Johnston, Jonathan Vitale, Mary-Anne Williams. "The face-space duality hypothesis: a computational model." arXiv:1609.07371 (2016). https://pith.science/paper/Y7RXL2LL
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,279 input tokens.

What the abstract itself states, as probabilities: claims first 0.11 · states limitation 0.12 · human participants 0.27 · controlled comparison 0.05 · randomized assignment 0.02 · states quantitative result 0.07 · compares with prior results 0.21 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

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.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Valentine's face-space suggests that faces are represented in a psychological multidimensional space according to their perceived properties. background 1.00 0.04 0.03 hedged possibility 0.92
s1 However, the proposed framework was initially designed as an account of invariant facial features only, and explanations for dynamic features representation were neglected. gap 0.99 0.08 0.02 asserted 1.00
s2 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. contribution 1.00 0.93 0.19 asserted 0.93
s3 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. method 0.55 0.93 0.13 asserted 0.98
s4 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. result 1.00 0.96 0.82 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.75 · evidence from observation or experiment 0.96.

What was examined, and what was not

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not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original 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.

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