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Automatic Detailed Localization of Facial Features

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Advanced Research in Applied Artificial Intelligence (IEA/AIE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7345))

Abstract

We propose a complete framework for automatic detailed facial feature localization. Feature points and contours of the eyes, the nose, the mouth and the chin are of interest. Face detection is performed followed by the region detection that locates a rough bounding box of each facial component, and detailed features are then extracted within each bounding box. Since the feature points lie on the shape contours, we start from shape contour extraction, and then detect the feature points from the extracted contours. Experimental results show the robustness and accuracy of our methods. The main application of our work is automatic diagnosis based on facial features.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Missouri, Columbia, MO, USA

    Qing He & Ye Duan

  2. Department of Mathematics and Computer Science, York College, The City University of New York, Jamaica, NY, USA

    Danyang Zhang

Authors
  1. Qing He
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  2. Ye Duan
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  3. Danyang Zhang
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Editor information

Editors and Affiliations

  1. School of Software, Dalian University of Technology, Dalian, China

    He Jiang

  2. Department of Computer Science, University of Massachusetts Boston, 100 Morrissey Boulevard, 02125-3393, Boston,, MA, USA

    Wei Ding

  3. Department of Computer Science, Texas State University San Marcos, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

  4. Department of Computer Science, University of Vermont, Burlington, VT, USA

    Xindong Wu

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© 2012 Springer-Verlag Berlin Heidelberg

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He, Q., Duan, Y., Zhang, D. (2012). Automatic Detailed Localization of Facial Features. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds) Advanced Research in Applied Artificial Intelligence. IEA/AIE 2012. Lecture Notes in Computer Science(), vol 7345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31087-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-31087-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31086-7

  • Online ISBN: 978-3-642-31087-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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