skip to main content
article

Acquiring scattering properties of participating media by dilution

Published:01 July 2006Publication History
Skip Abstract Section

Abstract

The visual world around us displays a rich set of volumetric effects due to participating media. The appearance of these media is governed by several physical properties such as particle densities, shapes and sizes, which must be input (directly or indirectly) to a rendering algorithm to generate realistic images. While there has been significant progress in developing rendering techniques (for instance, volumetric Monte Carlo methods and analytic approximations), there are very few methods that measure or estimate these properties for media that are of relevance to computer graphics. In this paper, we present a simple device and technique for robustly estimating the properties of a broad class of participating media that can be either (a) diluted in water such as juices, beverages, paints and cleaning supplies, or (b) dissolved in water such as powders and sugar/salt crystals, or (c) suspended in water such as impurities. The key idea is to dilute the concentrations of the media so that single scattering effects dominate and multiple scattering becomes negligible, leading to a simple and robust estimation algorithm. Furthermore, unlike previous approaches that require complicated or separate measurement setups for different types or properties of media, our method and setup can be used to measure media with a complete range of absorption and scattering properties from a single HDR photograph. Once the parameters of the diluted medium are estimated, a volumetric Monte Carlo technique may be used to create renderings of any medium concentration and with multiple scattering. We have measured the scattering parameters of forty commonly found materials, that can be immediately used by the computer graphics community. We can also create realistic images of combinations or mixtures of the original measured materials, thus giving the user a wide flexibility in making realistic images of participating media.

Skip Supplemental Material Section

Supplemental Material

p1003-narasimhan-high.mov

mov

143.1 MB

p1003-narasimhan-low.mov

mov

32.2 MB

References

  1. Antyufeev, S. 2000. Monte Carlo Method for Solving Inverse Problems of Radiative Transfer. Inverse and Ill-Posed Problems Series, VSP Publishers.Google ScholarGoogle Scholar
  2. Boss, E., and Pegau, W. S. 2001. Relationship of light scattering at an angle in the backward direction to the backscattering coefficient. Applied Optics 40 (30), 5503--5507.Google ScholarGoogle ScholarCross RefCross Ref
  3. Chandrasekhar, S. 1960. Radiative Transfer. Oxford University Press.Google ScholarGoogle Scholar
  4. Dana, K., Nayar, S., van Ginneken, B., and Koenderink, J. 1997. Reflectance and texture of real-world surfaces. In Proc CVPR, 151--157. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Debevec, P. 1998. Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. Proc. SIGGRAPH 98, 189--198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Finsy, E. G., and Joosten, J. 1991. Maximum entropy inversion of static light scattering data for the particle size distribution by number and volume. In Advances in measurements and control of colloidal processes. Butterworth-Heineman, Ch. 30.Google ScholarGoogle Scholar
  7. Fuchs, E., and Jaffe, J. S. 2002. Thin laser light sheet microscope for microbial oceanography. OPTICS EXPRESS 10 (2), 145--154.Google ScholarGoogle ScholarCross RefCross Ref
  8. Hawkins, T., Einarsson, P., and Debevec, P. 2005. Acquisition of time-varying participating media. ACM Trans. on Graphics (SIGGRAPH) 24, 3, 812--815. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Henyey, L., and Greenstein, J. 1941. Diffuse radiation in the galaxy. vol. 93, 70--83.Google ScholarGoogle Scholar
  10. Hulst, V. D. 1957. Light Scattering by small Particles. John Wiley and Sons.Google ScholarGoogle Scholar
  11. Ishimaru, A. 1978. Wave Propagation and Scattering in Random Media. Volume 1: Single Scattering and Transport Theory. Academic Press.Google ScholarGoogle Scholar
  12. Jaeger, D., Demeyere, H., Finsy, R., Sneyers, R., Vanderdeelen, J., Van-Der-Meeren, P., and Van-Laethem, M. 1991. Particle sizing by photon correlation spectroscopy. part i: Monodisperse latices: influence of scattering angle and concentration of dispersed material. In Part. Syst. Charact. 8, 179.Google ScholarGoogle ScholarCross RefCross Ref
  13. Jensen, H., Marschner, S., Levoy, M., and Hanrahan, P. 2001. A practical model for subsurface light transport. In Proc. SIGGRAPH 01, 511--518. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Key, J. R. 2005. Streamer: User's guide. Tech Report, NOAA/NESDIS, Madison, Wisconsin.Google ScholarGoogle Scholar
  15. Marschner, S. 1998. Inverse rendering for computer graphics. PhD Thesis, Cornell University. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Matusik, W., Pfister, H., Brand, M., and McMillan, L. 2003. A data-driven reflectance model. ACM Trans. on Graphics (SIGGRAPH) 22, 3, 759--769. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. McCormick, N. J. 1981. A critique of inverse solutions to slab geometry transport problems. Prog. Nucl. Energy 8.Google ScholarGoogle Scholar
  18. McCormick, N. J. 1985. Sensitivity of multiple-scattering inverse transport methods to measurement errors. JOSA A 2.Google ScholarGoogle Scholar
  19. McCormick, N. J. 1996. Analytical transport theory applications in optical oceanography. Annals of Nuclear Energy 23, 381--395.Google ScholarGoogle ScholarCross RefCross Ref
  20. Narasimhan, S. G., and Nayar, S. K. 2003. Shedding light on the weather. In CVPR 03, 665--672. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Oishi, T. 1990. Significant relationship between the backward scattering coefficient of sea water and the scatterance at 120 degrees. Applied Optics 29 (31), 4658--4665.Google ScholarGoogle ScholarCross RefCross Ref
  22. Prahl, S. A. 1988. Light transport in tissue. PhD Thesis, University of Texas at Austin.Google ScholarGoogle Scholar
  23. Ramamoorthi, R., and Hanrahan, P. 2001. A signal processing framework for inverse rendering. Proc. SIGGRAPH 01, 117--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Sullivan, S. A. 1963. Experimental study of the absorption in distilled water, artificial sea water, and heavy water in the visible region of the spectrum. JOSA 53.Google ScholarGoogle Scholar
  25. Sun, B., Ramamoorthi, R., Narasimhan, S. G., and Nayar, S. K. 2005. A practical analytic single scattering model for real time rendering. ACM Trans. on Graphics (SIGGRAPH) 24, 3, 1040--1049. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Ward-Larson, Rushmeier, H., and Piatko. 1997. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans. on Visualization and Computer Graphics 3, 4, 291--306. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Acquiring scattering properties of participating media by dilution

              Recommendations

              Comments

              Login options

              Check if you have access through your login credentials or your institution to get full access on this article.

              Sign in

              Full Access

              • Published in

                cover image ACM Transactions on Graphics
                ACM Transactions on Graphics  Volume 25, Issue 3
                July 2006
                742 pages
                ISSN:0730-0301
                EISSN:1557-7368
                DOI:10.1145/1141911
                Issue’s Table of Contents

                Copyright © 2006 ACM

                Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                Publisher

                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 1 July 2006
                Published in tog Volume 25, Issue 3

                Permissions

                Request permissions about this article.

                Request Permissions

                Check for updates

                Qualifiers

                • article

              PDF Format

              View or Download as a PDF file.

              PDF

              eReader

              View online with eReader.

              eReader