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A Canonical Face Based Virtual Face Modeling

  • Conference paper
Affective Computing and Intelligent Interaction (ACII 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3784))

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Abstract

The research presented here is to create 3D virtual face based on the canonical face model derived from a clustering method on facial feature points. The algorithm efficiently transforms feature points of the canonical face model into those of the new face model for input images without creating new face manually. By comparative experiments, we have shown both facial models generated by manually and automatically. In conclusion, both facial models are quite identical visually whereas efficiency is totally different.

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Author information

Authors and Affiliations

  1. Division of Multimedia, Sungkyul University, Anyang-City, Korea

    Seongah Chin

Authors
  1. Seongah Chin
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,  

    Jianhua Tao

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  3. MIT Media Laboratory, 20 Ames Street, 02139, Cambridge, MA, USA

    Rosalind W. Picard

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© 2005 Springer-Verlag Berlin Heidelberg

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Chin, S. (2005). A Canonical Face Based Virtual Face Modeling. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_23

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  • DOI: https://doi.org/10.1007/11573548_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29621-8

  • Online ISBN: 978-3-540-32273-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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