Skin Color Separation and Synthesis for E-Cosmetics

  • Norimichi Tsumura
  • Nobutoshi Ojima
  • Toshiya Nakaguchi
  • Yoichi Miyake

E-cosmetic function for digital images is introduced based on physics and physiologically based image processing. A practical skin color and texture analysis/synthesis technique is developed for this E-cosmetic function. Shading on the face is removed by a simple color vector analysis in the optical density domain as an inverse lighting technique. The image without shading is analyzed by extracting hemoglobin and melanin components using independent component analysis. Based on the image processing for the extracted components, we synthesized the various appearances of facial images changed due to these extracted components.


Skin Color Facial Image Color Vector Laplacian Pyramid Skin Texture 


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  1. 1.
    Blanz, V., Vetter, T.: A morphable model for the synthesis of 3d faces. In: Proceedings of SIGGRAPH ’99, pp. 187–194 (1999)Google Scholar
  2. 2.
    Brooks, M.J.: Shape from Shading. MIT Press, Cambridge, MA (1989)Google Scholar
  3. 3.
    Burt, P.J., Adelson, E.H.: A multiresolution spline with application to image mosaics. ACM Transactions on Graphics 2(4), 217–236 (1983)CrossRefGoogle Scholar
  4. 4.
    Drew, M.S., Chen, C., Hordley, S.D., Finlayson, G.D.: Sensor transforms for invariant image enhancement. In: Color Imaging Conference, pp. 325–330 (2002)Google Scholar
  5. 5.
    Heeger, D.J., Bergen, J.R.: Pyramid-based texture analysis/synthesis. In: Proceedings of SIGGRAPH ’95, pp. 229–238 (1995)Google Scholar
  6. 6.
    Hiraoka, M., Firbank, M., Essenpreis, M., Cope, M., Arridge, S.R., van der Zee, P., Delpy, D.T.: A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy. Physics in Medicine and Biology 38, 1859–1876 (1993)CrossRefGoogle Scholar
  7. 7.
    Hunt, R.W.G.: The Reproduction of Colour. Fountain Press (1995)Google Scholar
  8. 8.
    Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. Wiley, New York (2001)CrossRefGoogle Scholar
  9. 9.
    Hyvärinen, A., Oja, E.: A fast fixed-point algorithm for independent component analysis. Neural Computation 9(7), 1483–1492 (1997)CrossRefGoogle Scholar
  10. 10.
    ICC (International Color Consortium): Specification ICC.1:1998-09, File Format for Color Profiles (1998)Google Scholar
  11. 11.
    IEC 61966-2-1 (1999-10): Multimedia systems and equipment – Colour measurement and management – Part 2-1: Colour management – Default RGB colour space – sRGB (1999)Google Scholar
  12. 12.
    Marschner, S.R.: Inverse lighting for photography. Ph.D. thesis (1998)Google Scholar
  13. 13.
    Marschner, S.R., Greenberg, D.P.: Inverse lighting for photography. In: Proceedings of the Fifth Color Imaging Conference, Society for Imaging Science and Technology (1997)Google Scholar
  14. 14.
    Numata, K., Ri, K., Kira, K.: “E-Make”; A real-time HD skin-make-up machine. Technical Report 76 (1999)Google Scholar
  15. 15.
    Ojima, N., Minami, T., M, K.: Transmittance measurement of cosmetic layer applied on skin by using image processing. In: Proceedings of The 3rd Scientific Conference of the Asian Societies of Cosmetic Scientists, 114 (1997)Google Scholar
  16. 16.
    Ojima, N., Yohida, T., Osanai, O., Akazaki, S.: Image synthesis of cosmetic applied skin based on optical properties of foundation layers. In: Proceedings of International Congress of Imaging Science, pp. 467–468 (2002)Google Scholar
  17. 17.
    Ramamoorthi, R., Hanrahan, P.: A signal-processing framework for inverse rendering. In: Proceedings of SIGGRAPH ’01, pp. 117–128 (2001)Google Scholar
  18. 18.
    Sato, Y., Ikeuchi, K.: Temporal-color space analysis of reflection. Journal of Optical Society of America A 11(11), 2990–3002 (1994)CrossRefGoogle Scholar
  19. 19.
    Shafer, S.A.: Using color to separate reflection components. Color research and applications 10(4), 210–218 (1985)CrossRefGoogle Scholar
  20. 20.
    Tominaga, S., Wandell, B.A.: Standard surface-reflectance model and illuminant estimation. Journal of the Optical Society of America A 6(4), 576–584 (1989)CrossRefGoogle Scholar
  21. 21.
    Tsumura, N., Haneishi, H., Miyake, Y.: Independent-component analysis of skin color image. Journal of the Optical Society of America A 16, 2169–2176 (1999)CrossRefGoogle Scholar
  22. 22.
    Tsumura, N., Nakaguchi, T., Ojima, N., Takase, K., Okaguchi, S., Hori, K., Miyake, Y.: Image-based control of skin melanin texture. Applied Optics 45(25), 6626–6633 (2006)CrossRefGoogle Scholar
  23. 23.
    Tsumura, N., Ojima, N., Sato, K., Shiraishi, M., Shimizu, H., Nabeshima, H., Akazaki, S., Hori, K., Miyake, Y.: Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. In: Proceedings of SIGGRAPH ’03, pp. 770–779 (2003)Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Norimichi Tsumura
    • 1
  • Nobutoshi Ojima
    • 2
  • Toshiya Nakaguchi
    • 1
  • Yoichi Miyake
    • 1
  1. 1.Graduate School of Advanced Integration ScienceChiba UniversityJapan
  2. 2.Kao CorporationJapan

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