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Estimating Reflectance Functions Using a Cyberware 3030 Scanner

  • Matthew P. Dickens
  • Edwin R. Hancock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)

Abstract

Measuring reflectance properties is important to the fields of computer graphics and vision. We present a novel, rapid measurement technique specifically targeting the reflectance properties of skin. Using a Cyberware laser scanner to capture range and radiance data, a sampling of the surface radiance function under a broad range of incident and view directions is constructed. This function is at the core of local reflectance computation and the recovered data can be used for various tasks including rendering, guiding models, albedo estimation and more. We qualitatively analyse the resulting data, and illustrate a number of possible uses for it.

Keywords

Radiance Data Virtual Camera Radiometric Calibration Incident Irradiance Unit Solid Angle 
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.

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References

  1. 1.
    Nicodemus, F.E., Richmond, J.C., Hsia, J.J., Ginsberg, I.W., Limperis, T.: Geometrical Considerations and Nomenclature for Reflectance, Final Report National Bureau of Standards, Washington, DC. Inst. for Basic Standards (1977)Google Scholar
  2. 2.
    Ward, G.J.: Measuring and Modeling Anisotropic Reflection. Computer Graphics 26(2), 265–272 (1992)CrossRefGoogle Scholar
  3. 3.
    Marschner, S.R., Westin, S.H., Lafortune, E.P.F., Torrance, K.E., Greenberg, D.P.: Image-Based BRDF Measurement Including Human Skin. In: Proc. 10th Eurographics Workshop on Rendering, pp. 139–152 (1999)Google Scholar
  4. 4.
    Matusik, W., Pfister, H., Brand, M., McMillan, L.: Efficient Isotropic BRDF Measurement. In: Eurographics Workshop on Rendering, pp. 241–247 (2003)Google Scholar
  5. 5.
    Jensen, H.W., Marschner, S.R., Levoy, M., Hanrahan, P.: A Practical Model for Subsurface Light Transport. In: Proc. SIGGRAPH. pp. 511–518 (2001)Google Scholar
  6. 6.
    Robles-Kelly, A., Hancock, E.R.: Estimating the Surface Radiance Function from Single Images. Graphical Models 67(6), 518–548 (2005)zbMATHCrossRefGoogle Scholar
  7. 7.
    Debevec, P., Hawkins, T., Tchou, C., Duiker, H.-P., Sarokin, W., Sagar, M.: Acquiring the Reflectance Field of a Human Face. In: Proc. SIGGRAPH, pp. 145–156 (2000)Google Scholar
  8. 8.
    Sato, Y., Ikeuchi, K.: Temporal-Color Space Analysis of Reflection. Journal of Optical Society of America A 11(11), 2990–3002 (1994)CrossRefGoogle Scholar
  9. 9.
    Hanrahan, P., Krueger, W.: Reflection from Layered Surfaces due to Subsurface Scattering. In: Proc. SIGGRAPH, pp. 165–174 (1993)Google Scholar
  10. 10.
    Forsyth, D.A., Ponce, J.: Computer Vision A Modern Approach. Prentice Hall, Englewood Cliffs (2003)Google Scholar
  11. 11.
    Cyberware Scanhead Operation Manual (last accessed, 29/3/2007), http://www.cyberware.com/guides/cyscan/operation.html
  12. 12.
    Walsh, J.: Normal Computations for Heightfield Lighting (last accessed, 01/04/2007), http://www.gamedev.net/reference/programming/features/normalheightfield/default.asp
  13. 13.
    Smith, W.A.P., Hancock, E.R.: Estimating Facial Albedo from a Single Image. Internation Journal of Pattern Recognition and Artificial Intelligence (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Matthew P. Dickens
    • 1
  • Edwin R. Hancock
    • 1
  1. 1.Department of Computer Science, The University of York 

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