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Understanding Familiar Face Recognition for 3D Scanned Images: The Importance of Internal and External Facial Features

Williams, Anna, York, Helen and Frowd, Charlie D. (2012) Understanding Familiar Face Recognition for 3D Scanned Images: The Importance of Internal and External Facial Features. In: Third International Conference on Emerging Security Technologies. EST 2012 . IEEE, Lisbon, Portugal, pp. 27-32. ISBN 978-1-4673-2448-9

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Clay or computerised facial reconstructions are often presented to the public for recognition without information about the external features of a head (hair, ears and neck) as these are thought to be potentially distracting or even misleading. In this context, the mechanisms of face recognition are poorly understood, but existing research using photographs of familiar faces suggests that external features play an important role for recognition, and external features may even be necessary for recognition to occur at all. The current research aimed to determine the contribution that external features make to the recognition of a familiar face rendered in 3D. It will also determine whether the inclusion or exclusion of external features from a reconstruction is likely to be beneficial. Volunteers were asked to name images of 3D faces of people known to them, presented as either full face 3D surface scans, or where the internal or external features had been removed. As was expected, a clear correlation was found between information presented in the scans and the recognition rate, with participants correctly naming full face images most often and images of external features least often. Logistic regression analysis demonstrated a significant linear trend in recognition rate in the order of external features, internal features and full face. Incorrect naming also increased linearly, indicating that participants were more likely to offer a name (correct or otherwise) when more useful facial information was provided.

Item Type: Book Chapter
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Q Science > QM Human anatomy
Schools: School of Applied Sciences
Related URLs:
Depositing User: Sara Taylor
Date Deposited: 10 Oct 2013 10:33
Last Modified: 28 Aug 2021 11:33


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