skip to main content
10.1145/1174429.1174487acmconferencesArticle/Chapter ViewAbstractPublication PagesgraphiteConference Proceedingsconference-collections
Article

Densely sampled light probe sequences for spatially variant image based lighting

Published:29 November 2006Publication History

ABSTRACT

We present a novel technique for capturing spatially and temporally resolved light probe sequences, and using them for rendering. For this purpose we have designed and built a Real Time Light Probe; a catadioptric imaging system that can capture the full dynamic range of the lighting incident at each point in space at video frame rates, while being moved through a scene. The Real Time Light Probe uses a digital imaging system which we have programmed to capture high quality, photometrically accurate color images with a dynamic range of 10,000,000:1 at 25 frames per second.By tracking the position and orientation of the light probe, it is possible to transform each light probe into a common frame of reference in world coordinates, and map each point in space along the path of motion to a particular frame in the light probe sequence. We demonstrate our technique by rendering synthetic objects illuminated by complex real world lighting, using both traditional image based lighting methods with temporally varying light probe illumination and an extension to handle spatially varying lighting conditions across large objects.

References

  1. Adelson, E. H., and Bergen, J. R. 1991. Computational Models of Visual Processing. MIT Press, Cambridge, Mass., ch. 1. The Plenoptic Function and the Elements of Early Vision.Google ScholarGoogle Scholar
  2. Blinn, J. F. 1976. Texture and reflection in computer generated images. Communications of the ACM 19, 10 (October), 542--547. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Debevec, P. E., and Malik, J. 1997. Recovering high dynamic range radiance maps from photographs. In SIGGRAPH 97, 369--378. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Debevec, P., Hawkins, T., Tchou, C., Duiker, H.-P., Sarokin, W., and Sagar, M. 2000. Acquiring the reflectance field of a human face. Proceedings of SIGGRAPH 2000 (July), 145--156. 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. In SIGGRAPH 98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Gortler, S. J., Grzeszczuk, R., Szeliski, R., and Cohen, M. F. 1996. The Lumigraph. In SIGGRAPH 96, 43--54. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kang, S. B., Uyttendaele, M., Winder, S., and Szeliski, R. 2003. High dynamic range video. ACM Trans. Graph. 22, 3, 319--325. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Krawczyk, G., Goesele, M., and Seidel, H. P. 2005. Photometric calibration of high dynamic range cameras. Tech. Rep. Research Report MPI-I-2005-4-005.Google ScholarGoogle Scholar
  9. Levoy, M., and Hanrahan, P. 1996. Light field rendering. In SIGGRAPH 96, 31--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Madden, B. C. 1993. Extended intensity range imaging. Tech. rep., GRASP Laboratory, University of Pennsylvania.Google ScholarGoogle Scholar
  11. Mann, S., and Picard, R. W. 1995. Being 'undigital' with digital cameras: Extending dynamic range by combining differently exposed pictures. In Proceedings of IS&T 46th annual conference, 422--428.Google ScholarGoogle Scholar
  12. Masselus, V., Peers, P., Dutre;, P., and Willems, Y. D. 2003. Relighting with 4d incident light fields. ACM Trans. Graph. 22, 3, 613--620. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Miller, G. S., and Hoffman, C. R. 1984. Illumination and reflection maps: Simulated objects in simulated and real environments. In SIGGRAPH 84 Course Notes for Advanced Computer Graphics Animation.Google ScholarGoogle Scholar
  14. Mitsunaga, T., and Nayar, S. 1999. Radiometric Self Calibration. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, 374--380.Google ScholarGoogle Scholar
  15. Nayar, S., and Mitsunaga, T. 2000. High Dynamic Range Imaging: Spatially Varying Pixel Exposures. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, 472--479.Google ScholarGoogle Scholar
  16. Reinhard, E., Ward, G., Pattanaik, S., and Debevec, P. 2006. High Dynamic Range Imaging, Acquisition, Display and Image-Based Lighitng. Morgan Kaufmann, San Francisco, CA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Robertson, M. A., Borman, S., and Stevenson, R. L. 1999. Dynamic range improvement through multiple exposures. In IEEE International Conference on Image Processing, 159--163.Google ScholarGoogle Scholar
  18. Sato, I., Sato, Y., and Ikeuchi, K. 1999. Acquiring a radiance distribution to superimpose virtual objects onto a real scene. IEEE Transactions on Visualization and Computer Graphics 5, 1 (January-March), 1--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Swaminathan, R., Grossberg, M. D., and Nayar, S. K. 2006. Non-Single Viewpoint Catadioptric Cameras: Geometry and Analysis. International Journal of Computer Vision 66, 3 (Mar), 211--229. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Unger, J., Wenger, A., Hawkins, T., Gardner, A., and Debevec, P. 2003. Capturing and rendering with incident light fields. In EGRW '03: Proceedings of the 14th Eurographics workshop on Rendering, Eurographics Association, Aire-Ia-Ville, Switzerland, Switzerland, 141--149. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Unger, J., Gustavson, S., Ollila, M., and Johannesson, M. 2004. A real time light probe. In In Proceedings of the 25th Eurographics Annual Conference, vol. Short Papers and Interactive Demos, 17--21.Google ScholarGoogle Scholar
  22. Waese, J., and Debevec, P. 2002. A real-time high dynamic range light probe. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques: Conference Abstracts and Applications, ACM Press/Addison-Wesley Publishing Co., 247.Google ScholarGoogle Scholar
  23. Ward, G. 1991. Real pixels. Graphics Gems II, 80--83. ISBN 0-12-064481-9. Held in Boston.Google ScholarGoogle Scholar

Index Terms

  1. Densely sampled light probe sequences for spatially variant image based lighting

      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
      • Published in

        cover image ACM Conferences
        GRAPHITE '06: Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
        November 2006
        489 pages
        ISBN:1595935649
        DOI:10.1145/1174429

        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: 29 November 2006

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        GRAPHITE '06 Paper Acceptance Rate47of83submissions,57%Overall Acceptance Rate124of241submissions,51%