Skip to main content

An adaptive representation of spectral data for reflectance computations

  • Conference paper
  • First Online:
Book cover Rendering Techniques ’97 (EGSR 1997)

Part of the book series: Eurographics ((EUROGRAPH))

Included in the following conference series:

Abstract

This paper deals with the representation of spectral data so as to control the colorimetric error committed during rendering computations. These data are projected on a set of hierarchical basis functions called scaling functions leading to a representation by means of binary trees. An adaptive algorithm is proposed in which refinement and merge steps managed by an estimation of the error made in the X Y Z color space allows to control the representation of spectra

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C.S. Mc Camy, H. Marcus, and J.G. Davidson, A color rendition chart, Journal of Applied Photographics Engineering 2 (1976), no. 3, 95–99. 138

    Google Scholar 

  2. P. Deville, S. Merzouk, D. Cazier, and J.C. Paul, Spectral data modeling for a lighting application, Eurographics 94 13 (1994), no. 3, 97–106.

    Google Scholar 

  3. P. Hanrahan, D. Salzman, and L. Aupperle, A rapid hierarchical radiosity algorithm, Computer Graphics 25 (1991), no. 4, 197–206.

    Article  Google Scholar 

  4. R.W.G. Hunt, Measuring colour, Ellis Horwood, 1995.

    Google Scholar 

  5. Jean-Luc Maillot, Pseudo-réalisme et progressivité pour le tracé de rayons, Ph.D. thesis, Ecole des Mines de Saint-Etienne, France, September 1996.

    Google Scholar 

  6. Jean-Luc Maillot, Laurent Carraro, and Bernard Peroche, Progressive ray tracing, Third Eurographics Workshop on Rendering, Bristol, England (1992), 9–19.

    Google Scholar 

  7. G. Meyer, Wavelength selection for synthetic image generation, Computer Vision, Graphics and Image Processing (1988), no. 41, 57–79.

    Article  Google Scholar 

  8. S. Peercy, Linear color representation for full spectral rendering, Computer Graphics 27 (1993), 191–198.

    Google Scholar 

  9. M. G. Raso and A. Fournier, A piecewise polynomial approach to shading using spectral distribution, Proceedings of Graphics Interface 91, Calgary, Canada (1991), 40–46.

    Google Scholar 

  10. Marc Roelens, Un environnement pour le tracé de rayons utilisant une modélisation par arbre de construction, Ph.D. thesis, Ecole des Mines de Saint-Etienne, France, February 1993.

    Google Scholar 

  11. R. Wallis, Fast computation of tristimulus values by use of Gaussian quadrature, J. Opt. Soc. Am 65 (1975), no. 1, 91–94.

    Article  Google Scholar 

  12. G. Wysecki and W. Stiles, Color science: Concepts and methods, quantitative data and formulae, John Wiley and Sons, New York, 1982.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag/Wien

About this paper

Cite this paper

Rougeron, G., Péroche, B. (1997). An adaptive representation of spectral data for reflectance computations. In: Dorsey, J., Slusallek, P. (eds) Rendering Techniques ’97. EGSR 1997. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6858-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-6858-5_12

  • Published:

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83001-7

  • Online ISBN: 978-3-7091-6858-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics