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Weight Compensated Motion Estimation for Facial Deformation Analysis

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Book cover Image Analysis and Recognition (ICIAR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5627))

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Abstract

Investigation of the motion performed by a person’s face while speaking is the target of this paper. Methods and results of the studied facial motions are presented and rigid and non-rigid motion are analyzed. In order to extract only facial deformation independent from head pose, we use a new and simple approach for separating rigid and non-rigid motion called Weight Compensated Motion Estimation (WCME). This approach weights the data points according to their influence to the desired motion model. A synthetic test as well as real data are used to demonstrate the performance of this approach. We also present results in the field of facial deformation analysis and used basis shapes as description form. These results can be used for recognition purposes by adding temporal changes to the overall process or adding natural deformations other than at the given database.

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Author information

Authors and Affiliations

  1. Fraunhofer Heinrich-Hertz-Institute, Einsteinufer 37, 10587, Berlin, Germany

    Jürgen Rurainsky

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  1. Jürgen Rurainsky
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2009 Springer-Verlag Berlin Heidelberg

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Rurainsky, J. (2009). Weight Compensated Motion Estimation for Facial Deformation Analysis. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_66

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  • DOI: https://doi.org/10.1007/978-3-642-02611-9_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02610-2

  • Online ISBN: 978-3-642-02611-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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