Skip to main content

Illumination color from the blurred inter-reflection of a reference nose

  • Poster Session I
  • Conference paper
  • First Online:
Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

Included in the following conference series:

  • 129 Accesses

Abstract

This paper presents a novel technique to estimate illumination color in a scene. The key principle is that the blurred inter-reflection of a camera mounted “nose” represents the illumination color directly under weak scene assumptions. The nose surface profile is designed to reflect a blurred scene version into a small image area. The nose image is then spatially mapped to the scene image to correct its colors. Experiments showed that a nose surface represents illumination color robustly and as effective as a scene white patch with the merit of detecting smooth spatial changes of illumination color. The color constancy performance on real images is presented and compared with the retinex method [1].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Land, E. 1987. An alternative technique for the computation of the designator in the retinex theory of color vision, In Proc. Nat. Acad. of Sci. USA, 83, pp.3078–3080.

    Google Scholar 

  2. Bajcsy, R., Lee, S.W., and Leonardis, A., 1996. Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation, IJCV,17(3), pp.241–272.

    Google Scholar 

  3. Novak, C.L., and Shafer, S.A., 1992. Supervised color constancy, Color, Jones and Bartlett, pp.284–299.

    Google Scholar 

  4. Brill, M.H. 1979. Computer simulation of object color recognisers, J.Opt.Soc. Am.69.

    Google Scholar 

  5. Lee, H.-C., 1986. Method for computing the scene-illuminant chromaticity from specular highlights, J. Opt. Soc. Am. A 3(10):pp.1694–1699.

    Google Scholar 

  6. Klinker, G.I., Shafer, S.A., and Kanade, T., 1988. The measurement of highlights in color images, IJCV., 2(1):pp.7–32.

    Google Scholar 

  7. Tominaga, S. and Wandell, B., 1990. Component estimation of surface spectral reflectance, J. Opt. Soc. Am., 7.

    Google Scholar 

  8. Healey, G.1991, Estimating spectral reflectance using highlights, Image and vision computing, 9(5):pp.333–337.

    Google Scholar 

  9. Shafer, S.A., 1985. Using color to separate reflection components, Color Res. & Applications, 10.pp. 210–218.

    Google Scholar 

  10. Wandell, B.A. 1987. The synthesis and analysis of color images, IEEE Trans. PAMI, 9(1), pp.2–13.

    Google Scholar 

  11. Maloney, L.T. 1986. Evaluation of linear models of surface reflectance with small number of parameters, J. Opt. Soc. Am., 3:pp.29–33.

    Google Scholar 

  12. Abdellatif, M, Tanaka, Y, Gofuku, A, and Nagai,I. Color constancy using the inter-reflection from a reference nose, (submitted for the IJCV).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Roland Chin Ting-Chuen Pong

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Abdellatif, M., Tanaka, Y., Gofuku, A., Nagai, I. (1997). Illumination color from the blurred inter-reflection of a reference nose. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_123

Download citation

  • DOI: https://doi.org/10.1007/3-540-63930-6_123

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics