Dynamic Faces: Insights from Experiments and Computation (Mit Press) - Hardcover

Hardcover

ISBN 10: 026201453X ISBN 13: 9780262014533

Publisher: MIT Press, 2010

Synopsis

State-of-the-art research on the perception of dynamic faces, a topic of importance to brain, cognitive, and computational sciences.

The recognition of faces is a fundamental visual function with importance for social interaction and communication. Scientific interest in facial recognition has increased dramatically over the last decade. Researchers in such fields as psychology, neurophysiology, and functional imaging have published more than 10,000 studies on face processing. Almost all of these studies focus on the processing of static pictures of faces, however, with little attention paid to the recognition of dynamic faces, faces as they change over time--a topic in neuroscience that is also relevant for a variety of technical applications, including robotics, animation, and human-computer interfaces. This volume offers a state-of-the-art, interdisciplinary overview of recent work on dynamic faces from both biological and computational perspectives.

The chapters cover a broad range of topics, including the psychophysics of dynamic face perception, results from electrophysiology and imaging, clinical deficits in patients with impairments of dynamic face processing, and computational models that provide insights about the brain mechanisms for the processing of dynamic faces. The book offers neuroscientists and biologists an essential reference for designing new experiments, and provides computer scientists with knowledge that will help them improve technical systems for the recognition, processing, synthesizing, and animating of dynamic faces.

About this title

About the Authors

Cristó bal Curio is a Senior Research Scientist specializing in biologically motivated Machine Vision and Human Perception at the Max Planck Institute for Biological Cybernetics in Tü bingen.

Heinrich Bü lthoff is Professor and Director of the Perception, Cognition, and Action Department at the Max Planck Institute for Biological Cybernetics in Tü bingen.

Martin A. Giese is Professor for Computational Sensorimotorics at the Department of Cognitive Neurology, Hertie Institute for Clinical Brain Sciences and Center for Integrative Neuroscience, at the University Clinic Tü bingen.

Tomaso A. Poggio is Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at MIT, where he is also Director of the Center for Brains, Minds, and Machines and Codirector of the Center for Biological and Computational Learning. He is coeditor of Perceptual Learning (MIT Press).

Bernhard Schölkopf is Director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.

Edition details

• Publisher: MIT Press
• Publication date: 2010
• Language: English
• ISBN 10: 026201453X
• ISBN 13: 9780262014533
• Binding: Hardcover
• Number of pages: 283
• Editor: Curio Project Leader Cristóbal, Bülthoff Director Heinrich H, Giese Martin A