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A New Method for Face Identification and Determing Facial Asymmetry

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Semantic Methods for Knowledge Management and Communication

Part of the book series: Studies in Computational Intelligence ((SCI,volume 381))

Abstract

In the paper the new automatic method for recognizing faces, determining the facial asymmetry and a new frontal facial asymmetry measures are proposed. These new factors and measures are the great help in designing more novel and automatic methods for recognizing not only the faces but also determining the dominance of a proper brain hemisphere. The examples of the implementation of the method are presented and compared with the improved method derived by Milczarski, Kompanets and Kurach [14] and the Anuashvili’s [1] method for the estimation of verical axis. The results of the estimation may be used for designing absolutely novel e-learning technologies, for choosing an appropriate type of learning program for bilateral, left-brain, or right-brain thinker, or for synthesis of synergic work collectives. The method may be used for automatic identification of the mentioned above personality types in the future.

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References

  1. Anuashvili, A.N.: Fundamentals of Objective Psychology, 5th edn. Institute of Control, Psychology and Psychotherapy, Warsaw-Moscow (2008)

    Google Scholar 

  2. Chen, A.C., German, C., Zaidel, D.W.: Brain Asymmetry and Facial Attractiveness. Neuropsychologia 35(4), 471–476 (1997)

    Article  Google Scholar 

  3. Kamenskaya, E., Kukharev, G.: Recognition of psychological characteristics from face. Methods of Applied Informatics, Pol. Acad. Sci. 1, 59–73 (2008)

    Google Scholar 

  4. Kamenskaya, E., Kukharev, G.: Some aspects of automated psychological characteristics recognition from the facial image. Methods of Applied Informatics, Pol. Acad. Sci. 2, 29–37 (2008)

    Google Scholar 

  5. Keirsey, D., Bates, M.: Please Understand Me: Character and Temperament Types. Prometheus Nemesis. Del Mar, CA (1984)

    Google Scholar 

  6. Kompanets, L.: Biometrics of Asymmetrical Face. In: Zhang, D., Jain, A.K. (eds.) ICBA 2004. LNCS, vol. 3072, pp. 67–73. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Kompanets, L.: Facial Composites, Ophthalmic Geometry Pattern, and Based on Stated Phenomena the Test of Person/Personality Virtuality/Aliveness. In: 7th Intern. Conf. on Intelligent Systems Design and Applications, pp. 831–836. IEEE Computer Society Press, Los Alamitos (2007)

    Google Scholar 

  8. Kompanets, L., Kurach, D.: On Facial Frontal Vertical Axes Projections and Area Facial Asymmetry Measure. Intern. J. of Computing, Multimedia and Intelligent Techniques 3(1), 61–88 (2007)

    Google Scholar 

  9. Kurach, D., Milczarski, P.: Test Of Aliveness/Virtuality Based on Ophthalmo-geometry and Facial Asymmetry Characteristics. Polish Journal of Environmental Studies 17(4C), 497–502 (2008)

    Google Scholar 

  10. Liu, Y., Schmidt, K., Cohn, J., Mitra, S.: Facial asymmetry quantification for expression invariant human identification. Computer Vision and Image Understanding 91, 138–159 (2003)

    Article  Google Scholar 

  11. Liu, Y., Weaver, R.L., Schmidt, K., Serban, N., Cohn, J.: Facial Asymmetry: A New Biometric. The Robotic Institute of Carnegie Melon Univ. (2001)

    Google Scholar 

  12. Martin, M.A., Mendel, J.M.: Flirtation, a Very Fuzzy Prospect: a Flirtation Advisor. (1995)

    Google Scholar 

  13. Myers-Briggs, I., Myers, P.: Gifts Differing: Understanding Personality Type. Davies-Black Publishing (1995)

    Google Scholar 

  14. Milczarski, P., Kompanets, L., Kurach, D.: An Approach to Brain Thinker Type Recognition Based on Facial Asymmetry. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M., et al. (eds.) ICAISC 2010. LNCS (LNAI), vol. 6113, pp. 643–650. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  15. Muldashev, E.R.: Whom Did We Descend From? OLMA-Press, Moscow (2002)

    Google Scholar 

  16. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Systems, Man and Cybernetics 9, 62–66 (1979)

    Article  Google Scholar 

  17. Reis, V.A., Zaidel, D.W.: Functional Asymmetry in the Human Face: Perception of Health in the Left and Right Sides of the Face. Laterality 6(3), 225–231 (2001)

    Article  Google Scholar 

  18. Rutkowska, D.: An Expert System for Human Personality Characteristics Recognition. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS, vol. 6113, pp. 665–672. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

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Milczarski, P. (2011). A New Method for Face Identification and Determing Facial Asymmetry. In: Katarzyniak, R., Chiu, TF., Hong, CF., Nguyen, N.T. (eds) Semantic Methods for Knowledge Management and Communication. Studies in Computational Intelligence, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23418-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-23418-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23417-0

  • Online ISBN: 978-3-642-23418-7

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