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Facial Component Detection for Efficient Facial Characteristic Point Extraction

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Image Analysis and Recognition (ICIAR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

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Abstract

This paper proposes an algorithm detecting facial component to efficiently extract the FCP (Facial Characteristic Point). The FCP plays an important role in facial expression representation or recognition. For efficient FCP extraction using image processing, we analyze and improve the conventional algorithms detecting facial components that are the basis of the FCP extraction. The proposed algorithm includes face region detection without the effect of skin-color hair, eye region detection with weighted template, eyebrow region detection using a modified histogram, and mouth region detection using skin characteristics.

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References

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Author information

Authors and Affiliations

  1. Division of Image & Information Engineering, Pukyung National University, Korea

    Jeong-Su Oh

  2. School of Engineering, Jeonju University, Korea

    Dong-Wook Kim

  3. Department of Computer & Information Science, Hanseo University, Korea

    Jin-Tae Kim

  4. Graduate School of Advanced Imaging, Multimedia, and Film, Chung-Ang Univ., Korea

    Yong-In Yoon & Jong-Soo Choi

Authors
  1. Jeong-Su Oh
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  2. Dong-Wook Kim
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  3. Jin-Tae Kim
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  4. Yong-In Yoon
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  5. Jong-Soo Choi
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Oh, JS., Kim, DW., Kim, JT., Yoon, YI., Choi, JS. (2005). Facial Component Detection for Efficient Facial Characteristic Point Extraction. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_136

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  • DOI: https://doi.org/10.1007/11559573_136

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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