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Face Edge Detection System by Using the GAs

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

In this paper, we propose a new extraction method which is able to obtain the exact face edge including jawline. Five quadratic functions form the face edge. All parameters of quadratic functions are decided on genetic algorithm. In order to show the effectiveness of the proposed method, computer simulations were performed by using the proposed method. Images of the man and woman of various ages are used for the simulations. From the simulation results, it was shown that the face edge including jawline were obtained using five quadratic functions. In addition, the parameter group with five quadratic functions was acquirable as a quantitative feature for expressing the shape of the face.

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References

  1. Akamatsu, S.: Computer Recognition of Human Face – A Survey –. IEICE J80-D-II(8), 2031–2046 (1997)

    Google Scholar 

  2. Hasegawa, O., Morishima, S., Kaneko, M.: Processing of Facial Information by Computer. IEICE J80-D-II(8), 2047–2065 (1997)

    Google Scholar 

  3. Budynek, J., Lyons, M.J., Akamatsu, S.: Classifying Images of Facial Expression using a Gabor Wavelet Representation. In: Proc. The 2nd Int. Conf. on Cognitive Science and The 16th Annual Meeting of the Japanese Cognitive Science Society Joint Conference, pp. 113–118 (1999)

    Google Scholar 

  4. Kim, S.H., Kim, N.K., Ahn, S.C., Kim, H.G.: Object Oriented Face Detection Using Range and Color Information. In: Proc. of Automatic Face and Gesture Recognition, pp. 76–81 (1998)

    Google Scholar 

  5. Goldberg, D.E.: Genetic Algorithms in Search, Optimization & Machine Learning. Addison Wesley, Reading (1989)

    MATH  Google Scholar 

  6. Davis, L.: Handbook Of Genetic Algorithms. Van Nostrand Reinhold (1990)

    Google Scholar 

  7. Sherrah, J., Gong, S.: Skin Colour Analysis (2001)

    Google Scholar 

  8. Ono, I., Satoh, H., Kobayashi, S.: A Real-Coded Genetic Algorithm for Function Optimization Using the Unimodal Normal Distribution Crossover. Japanese Society for Artificial Intelligence 14(6), 1146–1155 (1999)

    Google Scholar 

  9. Satoh, H., Ono, I., Kobayashi, S.: A New Generation Alternation Model of Genetic Algorithms and Its Assessment. Japanese Society for Artificial Intelligence 12(5), 734–744 (1997)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Sato, H., Sakamoto, K., Mitsukura, Y., Akamatsu, N. (2004). Face Edge Detection System by Using the GAs. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_114

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_114

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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