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A Dynamic Extraction of Feature Points in Lip Regions Based on Color Statistic

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Information Technology and Intelligent Transportation Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 455))

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Abstract

This paper deals with the problem of insensitivity and low-effect in the detecting feature points in lip regions. We propose a new feature points extraction model based on Harris algorithm, combining ideas of color statistic and graph connectivity. To detect feature points, firstly, we build a proper possibility statistical module of color component, with a specifying color model in lip regions, then we realize feature points filter module under the thought of graph connectivity. Experiments show that our algorithm has a better accuracy and stability, especially a competitive advantage in lip regions feature extraction.

This research is supported by the Fundamental Research Funds for the Central Universities (lzujbky-2015-107).

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China

    Yingjie Meng, Huasong Du, Xin Liu, Koujin Wang & Chen Chen

Authors
  1. Yingjie Meng
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  2. Huasong Du
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  3. Xin Liu
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  4. Koujin Wang
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  5. Chen Chen
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Corresponding author

Correspondence to Huasong Du .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. University of South Australia, Bournemouth University, Poole, UK, and University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

  3. School of Information Engineering, Chang'an University, Xi'an, China

    Xiangmo Zhao

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Meng, Y., Du, H., Liu, X., Wang, K., Chen, C. (2017). A Dynamic Extraction of Feature Points in Lip Regions Based on Color Statistic. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-38771-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38769-7

  • Online ISBN: 978-3-319-38771-0

  • eBook Packages: EngineeringEngineering (R0)

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