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The Study on Face Contour Description Based on ASM and Semantic Techniques

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Future Information Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 309))

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Abstract

Face contour is a kind of intuitional characteristic at the first glance. Due to its simplicity, it is impressive and unforgettable. It can be used for face indexing and retrieval. In this paper, we integrated the techniques of the Active Shape Models (ASM) and the semantic knowledge engine to establish the effective face retrieval framework. Furthermore, we pointed out that other organs on the face also can be described by the ASM and semantic web techniques and the overall face description can be figured out. It is feasible and efficient interactive way in text-based face image search.

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Author information

Authors and Affiliations

  1. Postdoctoral Research Station of Computer Science and Technology, Fudan University, 200433, Shanghai, P.R. China

    Zhiguo Yan

  2. Cyber Physical System R&D Center, The Third Research Institute of Ministry of Public Security,  Shanghai , 201204, P.R. China

    Hao Ge & Zekun Liu

Authors
  1. Zhiguo Yan
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  2. Hao Ge
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  3. Zekun Liu
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Corresponding author

Correspondence to Zhiguo Yan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Yi Pan

  3. Digital Media Engineering, Anyang University, Anyang, Korea, Republic of (South Korea)

    Cheon-Shik Kim

  4. Information & Communication Technologies, Swinburne University of Technology, Melbourne, Victoria, Australia

    Yun Yang

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Yan, Z., Ge, H., Liu, Z. (2014). The Study on Face Contour Description Based on ASM and Semantic Techniques. In: Park, J., Pan, Y., Kim, CS., Yang, Y. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55038-6_59

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  • DOI: https://doi.org/10.1007/978-3-642-55038-6_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55037-9

  • Online ISBN: 978-3-642-55038-6

  • eBook Packages: EngineeringEngineering (R0)

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