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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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Elements for a Neural Theory of the Processing of Dynamic Faces

Elements for a Neural Theory of the Processing of Dynamic Faces

Chapter:
(p.187) 13 Elements for a Neural Theory of the Processing of Dynamic Faces
Source:
Dynamic Faces
Author(s):

Thomas Serre

Martin A. Giese

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262014533.003.0014

This chapter discusses computer vision models for the processing of dynamic faces along with an analysis of computational neurobiological models for the recognition and detection of static faces and dynamic body stimuli. It examines a physiologically plausible core architecture that reaches performance levels for the recognition of shapes and motion patterns which are competitive with a state-of-the-art computer vision system. The chapter emphasizes that the availability of conclusive and constraining experimental data will determine the development of useful models for the recognition of dynamic faces. It concludes that the integration of different experimental methods, including psychophysics and single-cell physiology, is still required to answer several open questions related to the processing of static and dynamic faces.

Keywords:   computational neurobiological models, psychophysics, single-cell physiology, dynamic faces, body stimuli

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