Lewis, Michael Bevan ![]() |
Abstract
Explanations of the caricature advantage (caricatured faces are recognized faster than veridicals) usually involve an encoded prototypical norm face (Rhodes, Brennan, & Carey, 1987). As an alternative to these, the present study describes a mathematical framework based on Valentine's (1991) exemplar-based model, which accounts for the caricature advantage without reference to an explicitly encoded norm face. This framework encodes faces in a multidimensional Voronoi diagram based on normally distributed face-space representations. The properties of this framework are investigated geometrically and computationally. It is demonstrated how a parallel processing system can extract a Voronoi diagram from multidimensional representations. The framework was able to account for many of the empirical findings on face recognition and caricaturization without extracting a norm face.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Psychology |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
Publisher: | Taylor & Francis |
ISSN: | 1350-6285 |
Last Modified: | 21 Oct 2022 09:11 |
URI: | https://orca.cardiff.ac.uk/id/eprint/35540 |
Citation Data
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