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Curvature Based Range Face Recognition Analysis Using Projection Vector by Subimage

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

We will present a new practical implementation of a person verification system using the projection vectors based on curvatures for range face images. The combination of the four curvatures according to the curvature threshold and depth values show that proposed method achieves higher recognition rate of the cases for ranked best candidates, respectively, and combined recognition rate also.

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References

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Author information

Authors and Affiliations

  1. SEECS Yeungnam University, Kyongsan, Kyongsangbuk-do, 712-749, Korea

    Yeunghak Lee

  2. Dept. of Computer Engineering, Andong National University, 388 Songcheon-Dong, Andong, Kyungpook, 760-749, Korea

    Ik-Dong Kim

Authors
  1. Yeunghak Lee
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  2. Ik-Dong Kim
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Editor information

Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, Y., Kim, ID. (2005). Curvature Based Range Face Recognition Analysis Using Projection Vector by Subimage. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_175

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  • DOI: https://doi.org/10.1007/11589990_175

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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