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Detection of Facial Feature Points Using Anthropometric Face Model

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Signal Processing for Image Enhancement and Multimedia Processing

Part of the book series: Multimedia Systems and Applications Series ((MMSA,volume 31))

Summary

This chapter describes an automated technique for detecting the eighteen most important facial feature points using a statistically developed anthropometric face model. Most of the important facial feature points are located just about the area of mouth, nose, eyes and eyebrows. After carefully observing the structural symmetry of human face and performing necessary anthropometric measurements, we have been able to construct a model that can be used in isolating the above mentioned facial feature regions. In the proposed model, distance between the two eye centers serves as the principal parameter of measurement for locating the centers of other facial feature regions. Hence, our method works by detecting the two eye centers in every possible situation of eyes and isolating each of the facial feature regions using the proposed anthropometric face model . Combinations of differnt image processing techniques are then applied within the localized regions for detecting the eighteen most important facial feature points. Experimental result shows that the developed system can detect the eighteen feature points successfully in 90.44% cases when applied over the test databases.

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Author information

Authors and Affiliations

  1. Concordia Institute for Information Systems Engineering (CIISE), Concordia University, 1515 St. Catherine West, Montreal, H3G 2W1, Canada

    Abu Sayeed Md. Sohail & Prabir Bhattacharya

Authors
  1. Abu Sayeed Md. Sohail
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  2. Prabir Bhattacharya
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Editor information

Editors and Affiliations

  1. Dipto. Tecnologie dell′Informazione, Università Milano-Bicocca, via Festa del Perdono,7, 20122 MILANO, Italy

    Ernesto Damiani

  2. Université de Bourgogne LE2I-CNRS, Aile de l′ingénieur, 21000 Dijon, France

    Kokou Yétongnon , Albert Dipanda  & Richard Chbeir ,  & 

  3. Dept. Electronics and Info. Processing (ETRO), Vrije Universiteit Brussels, Pleinlaan 2, 1050 BRUXELLES, Belgium

    Peter Schelkens

  4. Université de Bourgogne LE2I-CNRS, 21000 Dijon, France

    Louis Legrand

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© 2008 Springer Science+Business Media, LLC

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Sohail, A.S.M., Bhattacharya, P. (2008). Detection of Facial Feature Points Using Anthropometric Face Model. In: Damiani, E., Yétongnon, K., Schelkens, P., Dipanda, A., Legrand, L., Chbeir, R. (eds) Signal Processing for Image Enhancement and Multimedia Processing. Multimedia Systems and Applications Series, vol 31. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72500-0_17

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  • DOI: https://doi.org/10.1007/978-0-387-72500-0_17

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-72499-7

  • Online ISBN: 978-0-387-72500-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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