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Abstracts AVA 2005

Abstracts AVA 2005 Spatial Vision , Vol. 18, No. 4, pp. 493 – 513 (2005)  VSP 2005. Also available online - www.vsppub.com ABSTRACTS of the AVA 2005 ANNUAL MEETING: ACTIVE VISION SESSION 1: VISION IN THE NATURAL WORLD Gender differences for animation LISA GRALEWSKI, NEILL CAMPBELL and IAN PENTON-VOAK University of Bristol, UK Much research has been carried out on the role of head motion and facial expression in the recognition of emotion, sex and identity. Gender differences exist in the manner in which men and women express emotion. Women tend to move their entire countenance more than men, for instance moving their cheeks and lips more frequently whilst smiling. It has been well established that emotion can be categorised from static images. However, it has also been shown that emotion as well as gender can be recognised from an animation of an androgynous 3D head where shape and texture have been removed. Therefore, it has been suggested that head motion and changes in facial expression encode gender information. The work presented here shows that both the head movement and the facial expression of male and female subjects can be clearly categorised using temporal/dynamic auto- regressive models. These models are http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Spatial Vision (continued as Seeing & Perceiving from 2010) Brill

Abstracts AVA 2005

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Publisher
Brill
Copyright
© 2005 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0169-1015
eISSN
1568-5683
DOI
10.1163/1568568054389642
Publisher site
See Article on Publisher Site

Abstract

Spatial Vision , Vol. 18, No. 4, pp. 493 – 513 (2005)  VSP 2005. Also available online - www.vsppub.com ABSTRACTS of the AVA 2005 ANNUAL MEETING: ACTIVE VISION SESSION 1: VISION IN THE NATURAL WORLD Gender differences for animation LISA GRALEWSKI, NEILL CAMPBELL and IAN PENTON-VOAK University of Bristol, UK Much research has been carried out on the role of head motion and facial expression in the recognition of emotion, sex and identity. Gender differences exist in the manner in which men and women express emotion. Women tend to move their entire countenance more than men, for instance moving their cheeks and lips more frequently whilst smiling. It has been well established that emotion can be categorised from static images. However, it has also been shown that emotion as well as gender can be recognised from an animation of an androgynous 3D head where shape and texture have been removed. Therefore, it has been suggested that head motion and changes in facial expression encode gender information. The work presented here shows that both the head movement and the facial expression of male and female subjects can be clearly categorised using temporal/dynamic auto- regressive models. These models are

Journal

Spatial Vision (continued as Seeing & Perceiving from 2010) – Brill

Published: Jan 1, 2005

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