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A Improved Facial Expression Recognition Method

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Advances in Multimodal Interfaces — ICMI 2000 (ICMI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1948))

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Abstract

We proposed a novel facial expression recognition algorithm based on Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA). ICA produced a set of independent basis images of expression image, LDA selected features obtained from ICA. Experiments proved the excellent performance of our algorithm.

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References

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Author information

Authors and Affiliations

  1. Automation Department, Tsinghua University Institute of Information Processing, 100084

    Sun Jun, Zhuo Qing & Wang wenyuan

Authors
  1. Sun Jun
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  2. Zhuo Qing
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  3. Wang wenyuan
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Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, P.O.Box 2728, 100080, Beijing, China

    Tieniu Tan

  2. Computer Department, Media Laboratory, Tsinghua University, 100084, Beijing, China

    Yuanchun Shi

  3. Institute of Computing Technology, Chinese Academy of Sciences, P.O.Box 2704, 100080, Beijing, China

    Wen Gao

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© 2000 Springer-Verlag Berlin Heidelberg

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Jun, S., Qing, Z., wenyuan, W. (2000). A Improved Facial Expression Recognition Method. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_28

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  • DOI: https://doi.org/10.1007/3-540-40063-X_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41180-2

  • Online ISBN: 978-3-540-40063-9

  • eBook Packages: Springer Book Archive

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