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Image Understanding and Knowledge-Based Systems
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Technical University of Munich

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Informatik IX

Image Understanding and Knowledge-Based Systems

Boltzmannstrasse 3
85748 Garching

info@iuks.in.tum.de




Recognizing Facial Expressions Using Model-based Image Interpretation (bibtex)
Recognizing Facial Expressions Using Model-based Image Interpretation (bibtex)
by M Wimmer, C Mayer and B Radig
Abstract:
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.
Reference:
Recognizing Facial Expressions Using Model-based Image Interpretation (M Wimmer, C Mayer and B Radig), In Verbal and Nonverbal Communication Behaviours, COST Action 2102 International Workshop, 2008. (Invited Paper)
Bibtex Entry:
@inproceedings{wimmer_recognizing_2008,
 author = {M Wimmer and C Mayer and B Radig},
 title = {Recognizing Facial Expressions Using Model-based Image Interpretation},
 booktitle = {Verbal and Nonverbal Communication Behaviours, {COST} Action 2102
	International Workshop},
 year = {2008},
 address = {Vietri sul Mare, Italy},
 month = {apr},
 abstract = {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.},
 keywords = {facial expressions},
}
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Informatik IX

Image Understanding and Knowledge-Based Systems

Boltzmannstrasse 3
85748 Garching

info@iuks.in.tum.de