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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Recognizing Facial Expressions Using Model-Based Image Interpretation
verfasst von : Matthias Wimmer, Christoph Mayer, Bernd Radig
Erschienen in: Multimodal Signals: Cognitive and Algorithmic Issues
Verlag: Springer Berlin Heidelberg
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Even if electronic devices widely occupy our daily lives, human-machine interaction still lacks intuition. Therefore, researchers intend to resolve these shortcomings by augmenting traditional systems with aspects of human-human interaction and consider human emotion, behavior, and intention.
This publication focusses on one aspect of this challenge: recognizing facial expressions. Our approach achieves real-time performance and provides robustness for real-world applicability. This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer facial expressions visible. We specifically adapt state-of-the-art techniques to each of these challenging phases. Our system has been successfully presented to industrial, political, and scientific audience in various events.