Rendering Optical Effects Based on Spectra Representation in Complex Scenes

  • Weiming Dong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4035)


Rendering the structural color of natural objects or modern industrial products in the 3D environment is not possible with RGB-based graphics platforms and software and very time consuming, even with the most efficient spectra representation based methods previously proposed. Our framework allows computing full spectra light object interactions only when it is needed, i.e. for the part of the scene that requires simulating special spectra sensitive phenomena. Achieving the rendering of complex scenes with both the full spectra and RGB light and object interactions in a ray-tracer costs only some additional fractions of seconds. To prove the efficiency of our framework, we implemented a “Multilayer Film” in a simple ray-tracer. However, the framework is convenient for any complex lighting model, including diffraction or fluorescence.


Computer Graphic Interactive Technique Material Element Complex Scene Object Interaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Devlin, K., Chalmers, A., Wilkie, A., Purgathofer, W.: State of the art report: Tone reproduction and physically based spectral rendering. In: Proceedings of Eurographics 2002, pp. 101–123 (2002)Google Scholar
  2. 2.
    Glassner, A.S.: Principles of Digital Image Synthesis. Morgan Kaufmann Publishers Inc., San Francisco (1995)Google Scholar
  3. 3.
    Sun, Y.: Rendering biological iridescences with rgb-based renderers. ACM Trans. Graph (2006)Google Scholar
  4. 4.
    Sun, Y., Fracchia, F.D., Drew, M.S., Calvert, T.W.: A spectrally based framework for realistic image synthesis. The Visual Computer 17(7), 429–444 (2001)MATHCrossRefGoogle Scholar
  5. 5.
    Hall, R.A., Greenberg, D.P.: A testbed for realistic image synthesis, vol. 3(8), pp. 10–20 (1983)Google Scholar
  6. 6.
    Rougeron, G., Péroche, B.: An adaptive representation of spectral data for reflectance computations. In: Proceedings of the Eurographics Workshop on Rendering Techniques 1997, pp. 127–138. Springer, London (1997)Google Scholar
  7. 7.
    Iehl, J.C., Péroche, B.: An adaptive spectral rendering with a perceptual control. Comput. Graph. Forum 19(3) (2000)Google Scholar
  8. 8.
    Greenberg, D.P., Torrance, K.E., Shirley, P., Arvo, J., Lafortune, E., Ferwerda, J.A., Walter, B., Trumbore, B., Pattanaik, S., Foo, S.C.: A framework for realistic image synthesis. In: SIGGRAPH 1997: Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp. 477–494. ACM Press/Addison-Wesley, New York (1997)CrossRefGoogle Scholar
  9. 9.
    Glassner, A.S.: A model of fluorescence and phosphorescence. In: Proceedings of the 5th Eurographics Workshop on Rendering, pp. 57–68. Springer, Heidelberg (1994)Google Scholar
  10. 10.
    Stam, J.: Diffraction shaders. In: SIGGRAPH 1999: Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pp. 101–110. ACM Press/Addison-Wesley Publishing Co, New York (1999)CrossRefGoogle Scholar
  11. 11.
    Cook, R.L., Torrance, K.E.: A reflectance model for computer graphics. ACM Trans. Graph. 1(1), 7–24 (1982)CrossRefGoogle Scholar
  12. 12.
    Meyer, G.W.: Wavelength selection for synthetic image generation. Comput. Vision Graph. Image Process 41(1), 57–79 (1988)CrossRefGoogle Scholar
  13. 13.
    Peercy, M.S.: Linear color representations for full speed spectral rendering. In: SIGGRAPH 1993: Proceedings of the 20th annual conference on Computer graphics and interactive techniques, pp. 191–198. ACM Press, New York (1993)CrossRefGoogle Scholar
  14. 14.
    Raso, M.G., Fournier, A.: A piecewise polynomial approach to shading using spectral distributions. In: Graphics Interface 1991, pp. 40–46. Canadian Information Processing Society, Toronto, Canada (1991)Google Scholar
  15. 15.
    Sun, Y., Fracchia, F.D., Calvert, T.W., Drew, M.S.: Deriving spectra from colors and rendering light interference. IEEE Comput. Graph. Appl. 19(4), 61–67 (1999)CrossRefGoogle Scholar
  16. 16.
    Hirayama, H., Kaneda, K., Yamashita, H., Yamaji, Y., Monden, Y.: Visualization of optical phenomena caused by multilayer films with complex refractive indices. In: PG 1999: Proceedings of the 7th Pacific Conference on Computer Graphics and Applications, Washington, DC, USA, pp. 128–137. IEEE Computer Society, Los Alamitos (1999)Google Scholar
  17. 17.
    Kinoshita, S., Yoshioka, S., Kawagoe, K.: Mechanisms of structural colour in the morpho butterfly: cooperation of regularity and irregularity in an iridescent scale. Proc. R. Soc. Lond. B 266 269(1499), 1417–1421 (2002)CrossRefGoogle Scholar
  18. 18.
    Baker, B.B., Copson, E.T.: The Mathematical Theory of Huygens’ Principle, 2nd edn. Oxford University Press, Oxford (1950)MATHGoogle Scholar
  19. 19.
    Jensen, H.W.: Realistic Image Synthesis Using Photon Mapping. A.K. Peters, Ltd., Natick, MA, USA (2001)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Weiming Dong
    • 1
  1. 1.Project ALICE, INRIA Lorraine/LoriaFrance

Personalised recommendations