Pursuing Reality with Image-Based Modeling, Rendering, and Lighting

  • Paul Debevec
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2018)

Abstract

This paper presents techniques and animations developed from 1991 to 2000 that use digital photographs of the real world to create 3D models, virtual camera moves, and realistic computer animations. In these projects, images are used to determine the structure, appearance, and lighting conditions of the scenes. Early work in recovering geometry (and generating novel views) from silhouettes and stereo correspondence are presented, which motivate Façcade, an interactive photogrammetric modeling system that uses geometric primitives to model the scene. Subsequent work has been done to recover lighting and reflectance properties of real scenes, to illuminate synthetic objects with light captured from the real world, and to directly capture reflectance fields of real-world objects and people. The projects presented include The Chevette Project (1991), Immersion 94 (1994), Rouen Revisited (1996), The Campanile Movie (1997), Rendering with Natural Light (1998), Fiat Lux (1999), and the Light Stage (2000).

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Addison, A. C., Macleod, D., Margolis, G., Naimark, M., AND Schwartz, H.-P. Museums without walls: New media for new museums. In Computer Graphics annual Conference Series (SIGGRAPH 95) (August 1995), R. Cook, Ed., pp. 480–481.Google Scholar
  2. 2.
    Debevec, P. Rendering synthetic objects into real scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In SIGGRAPH 98 (July 1998).Google Scholar
  3. 3.
    Debevec, P., Hawkins, T., Tchou, C., Duiker, H.-P., Sarokin, W., and Sagar, M. Acquiring the reflectance field of a human face. Proceedings of SIG-GRAPH 2000 (July 2000), 145–156. ISBN 1-58113-208-5.Google Scholar
  4. 4.
    Debevec, P. E. Modeling and Rendering Architecture from Photographs. PhD thesis, University of California at Berkeley, Computer Science Division, Berkeley CA, 1996. http://www.debevec.org/Thesis.Google Scholar
  5. 5.
    Debevec, P. E., AND Malik, J. Recovering high dynamic range radiance maps from photographs. In SIGGRAPH 97 (August 1997), pp. 369–378.Google Scholar
  6. 6.
    Debevec, P. E., Taylor, C. J., AND Malik, J. Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach. In SIGGRAPH 96 (August 1996), pp. 11–20.Google Scholar
  7. 7.
    Debevec, P. E., Yu, Y., AND Borshukov, G. D. Efficient view-dependent image-based rendering with projective texture-mapping. In 9th Eurographics work-shop on Rendering (June 1998), pp. 105–116.Google Scholar
  8. 8.
    Gortler, S. J., Grzeszczuk, R., Szeliski, R., AND Cohen, M. F. The Lumigraph. In SIGGRAPH 96 (1996), pp. 43–54.Google Scholar
  9. 9.
    Levoy, M., AND Hanrahan, P. Light field rendering. In SIGGRAPH 96 (1996), pp. 31–42.Google Scholar
  10. 10.
    Naimark, M., Woodfill, J., Debevec, P., and Villareal, L. Immersion’ 94. http://www.debevec.org/Immersion/, 1994.
  11. 11.
    Taylor, C. J., AND Kriegman, D. J. Structure and motion from line segments in multiple images. IEEE Trans. Pattern Anal. Machine Intell. (November 1995).Google Scholar
  12. 12.
    Yu, Y., Debevec, P., Malik, J., AND Hawkins, T. Inverse global illumination: Recovering reflectance models of real scenes from photographs. In SIGGRAPH 99 (August 1999).Google Scholar
  13. 13.
    Zabih, R., AND Woodfill, J. Non-parametric local transforms for computing visual correspondence. In European Conference on Computer Vision (May 1994), pp. 151–158.Google Scholar

References

  1. 1.
    P. Debevec, T. Hawkins, C. Tchou, H.-P. Duiker, W. Sarokin, and M. Sagar. Acquiring the reflectance field of a human face. In Proceedings, SIGGRAPH, 2000.Google Scholar
  2. 2.
    M. Pollefeys, R. Koch, M. Vergauwen and L. Van Gool, Metric 3D Surface Reconstruction from Uncalibrated Image Sequences. In Proc. SMILE Workshop, R. Koch and L. Van Gool (Eds.), LNCS 1506, pp.138–153, Springer-Verlag, 1998.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Paul Debevec
    • 1
  1. 1.Institute for Creative TechnologiesUniversity of Southern CaliforniaMarina del ReyUSA

Personalised recommendations