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Dynamic FacesInsights from Experiments and Computation$
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Cristobal Curio, Heinrich H. Bulthoff, and Martin A. Giese

Print publication date: 2010

Print ISBN-13: 9780262014533

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014533.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 19 May 2022

Investigating the Dynamic Characteristics Important for Face Recognition

Investigating the Dynamic Characteristics Important for Face Recognition

(p.31) 3 Investigating the Dynamic Characteristics Important for Face Recognition
Dynamic Faces

Natalie Butcher

Karen Lander

The MIT Press

This chapter offers information on several studies, demonstrating the parameters of facial motion that are important for face recognition. The occurrence of the motion advantage for facial recognition is still a matter of debate among computer scientists and psychologists. According to the supplemental information hypothesis, the recognition benefit of motion can be explained by examining characteristic motion patterns. The findings of the studies have shown the complexity of the motion advantage and its dependence on a view or seeing the precise dynamic information that is exhibited by the face. The importance and impact of the new research in probing the nature of characteristic motion patterns has also been recognized. The chapter emphasizes that there is a need to examine the relative importance of motion and static-based information in face recognition with the help of future advances in computer animation.

Keywords:   facial motion, face recognition, psychologists, supplemental information hypothesis, characteristic motion patterns

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