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Dynamic vs. Static Recognition of Facial Expressions

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Ambient Intelligence (AmI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5355))

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Abstract

In this paper, we address the dynamic recognition of basic facial expressions. We introduce a view- and texture independent schemes that exploits facial action parameters estimated by an appearance-based 3D face tracker. We represent the learned facial actions associated with different facial expressions by time series. Furthermore, we compare this dynamic scheme with a static one and show that the former performs better than the latter. We provide evaluations of performance using several classification schemes. With the proposed scheme, we developed an application for social robotics, in which an AIBO is mirroring the facial expression recognized.

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Author information

Authors and Affiliations

  1. Computer Vision Center, Edifici O - Campus UAB, 08193, Bellaterra (Barcelona), Spain

    Bogdan Raducanu

  2. Institut Géographique National, 2 avenue Pasteur, 94165, Saint Mandé (Paris), France

    Fadi Dornaika

Authors
  1. Bogdan Raducanu
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  2. Fadi Dornaika
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Editor information

Editors and Affiliations

  1. Philips Research Europe, Media Interaction Department, High Tech Campus 34-WB-5.27, 5656 AE, Eindhoven, The Netherlands

    Emile Aarts

  2. INRIA Rhône-Alpes, Montbonnot, France

    James L. Crowley

  3. Philips Research, Media Interaction, Prof. Holstlaan 4, 5656 AE, Eindhoven, The Netherlands

    Boris de Ruyter

  4. Fraunhofer IIS, Erlangen, Germany

    Heinz Gerhäuser  & Janina Schmidt  & 

  5. Fraunhofer-ATL, Nürnberg, Germany

    Alexander Pflaum

  6. Fraunhofer-IGD, Interactive Multimedia Appliances, Fraunhoferstr. 5, 64283, Darmstadt, Germany

    Reiner Wichert

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© 2008 Springer-Verlag Berlin Heidelberg

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Raducanu, B., Dornaika, F. (2008). Dynamic vs. Static Recognition of Facial Expressions. In: Aarts, E., et al. Ambient Intelligence. AmI 2008. Lecture Notes in Computer Science, vol 5355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89617-3_2

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  • DOI: https://doi.org/10.1007/978-3-540-89617-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89616-6

  • Online ISBN: 978-3-540-89617-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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