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Extraction of Face Parts by Using Flesh Color and Boundary Images

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Abstract

The new method for detection of the face direction is proposed. In this study, the face region was extracted according to the histogram which shows the distribution of the flesh color and histogram of edge image got by the Sobel filter. And, the direction of the face was roughly specified from the histogram which showed the distribution of the low bright pixels. Then, face parts detection was carried out using the template matching. Since rough face direction and position of parts have been specified firstly, the template matching was efficiently carried out. The result of the rough face direction was generally good, and the face parts detection such as eyes and mouth was also good. But the face parts detection in left or right direction was not as accurate as the front face.

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References

  1. Song, X., Lee, C.-W., Xu, G., Tsuji, S.: Extraction of Facial Organ Features Using Partial Feature Template and Global Constraints. Trans. Of IEICE D-II J77-D-II(8), 1601–1609 (1994)

    Google Scholar 

  2. Doi, M., Chen, Q., Matani, A., Oshiro, O., Sato, K., Chihara, K.: Lock Control System Based on Face Identification. Trans. of IEICE D-II J80-D-II(8), 2203–2208 (1997)

    Google Scholar 

  3. Aoyama, K., Yamamura, T., Ohnishi, N., Sugie, N.: Estimating Face-and-Eye Direction from Images Taken with a Camera, Technical Report of IEICE, PRU95-233, pp.131–136 (1996)

    Google Scholar 

  4. Hongo, H., Hagai, N., Yamamoto, K.: Method of Face and Facial Feature Detection using Directional Features and Color Information. In: MIRU 1998, pp. II-307–312 (1998)

    Google Scholar 

  5. Hagai, N., Hongo, H., Kato, K., Yamamoto, K.: Facial Parts Extraction Using 2-Dimentional Color Histogram on UV Plane. In: MIRU 1998, pp. II-391–396 (1998)

    Google Scholar 

  6. Chin, R.T., Dyer, C.R.: Model-Based Recognition in Robot Vision. ACM Computing Surveys 18(1), 67–108 (1986)

    Article  Google Scholar 

  7. Besl, P.J., Jain, R.C.: Three-Dimensional Object Recognition. ACM Computing Surveys 17(1), 75–145 (1985)

    Google Scholar 

  8. Adachi, Y., Imai, H., Ozaki, M., Ishii, N.: Study on Extraction of Flesh-Colored Region and Detection of Face Direction. Intl. J. of KES 5(2), 112–117 (2001)

    Google Scholar 

  9. Kamiya, T., Adachi, Y., Ozaki, M., Ishii, N.: Recognition of Face Direction. In: KES 2001, Part 1, pp. 637–641 (2001)

    Google Scholar 

  10. Adachi, Y., Takeoka, S., Ozaki, M.: Detection of Face Direction from Flesh Color and Boundary Images. In: KES 2002, Part 2, pp. 770–774 (2002)

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Adachi, Y., Takeoka, S., Ozaki, M. (2003). Extraction of Face Parts by Using Flesh Color and Boundary Images. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_77

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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