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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2012: Artificial Intelligence and Soft Computing pp 276–283Cite as

Influence of Facial Asymmetry on Human Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

Abstract

In this paper, two types of holistic asymmetry representations are introduced: a) asymmetry of facial silhouette AFS, b) asymmetry of facial elements AFE. These asymmetry types in combination with the maintaining aspect ratio facial normalization [3], to the best of our knowledge have not been yet proposed in literature by other authors. To investigate quantitative influence of such approach, classification based on the PCA and the Mahalanobis distance is studied. Performed observations confirm existence of correlation between facial asymmetry and classification rate. The experiment results to demonstrate the proposed approach efficiency and accuracy are provided.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Al. Armii Krajowej 36, 42-200, Czestochowa, Poland

    Damian Kurach & Danuta Rutkowska

Authors
  1. Damian Kurach
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  2. Danuta Rutkowska
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Computer Science Division, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2012 Springer-Verlag Berlin Heidelberg

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Kurach, D., Rutkowska, D. (2012). Influence of Facial Asymmetry on Human Recognition. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_33

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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