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Dual photography

Published:01 July 2005Publication History
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Abstract

We present a novel photographic technique called dual photography, which exploits Helmholtz reciprocity to interchange the lights and cameras in a scene. With a video projector providing structured illumination, reciprocity permits us to generate pictures from the viewpoint of the projector, even though no camera was present at that location. The technique is completely image-based, requiring no knowledge of scene geometry or surface properties, and by its nature automatically includes all transport paths, including shadows, inter-reflections and caustics. In its simplest form, the technique can be used to take photographs without a camera; we demonstrate this by capturing a photograph using a projector and a photo-resistor. If the photo-resistor is replaced by a camera, we can produce a 4D dataset that allows for relighting with 2D incident illumination. Using an array of cameras we can produce a 6D slice of the 8D reflectance field that allows for relighting with arbitrary light fields. Since an array of cameras can operate in parallel without interference, whereas an array of light sources cannot, dual photography is fundamentally a more efficient way to capture such a 6D dataset than a system based on multiple projectors and one camera. As an example, we show how dual photography can be used to capture and relight scenes.

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References

  1. Debevec, P., and Malik, J. 1997. Recovering High Dynamic Range Radiance Maps from Photographs. In SIGGRAPH '97, 369--378. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Debevec, P., Hawkins, T., Tchou, C., Duiker, H.-P., Sarokin, W., and Sagar, M. 2000. Acquiring the Reflectance Field of a Human Face. In SIGGRAPH '00, 145--156. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Goesele, M., Lensch, H. P. A., Lang, J., Fuchs, C., and Seidel, H.-P. 2004. DISCO: Acquisition of Translucent Objects. In SIGGRAPH '04, 835--844. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Gortler, S. J., Grzeszczuk, R., Szeliski, R., and Cohen, M. F. 1996. The Lumigraph. In SIGGRAPH '96, 43--54. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Levoy, M., and Hanrahan, P. 1996. Light Field Rendering. In SIGGRAPH '96, 31--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Levoy, M., Chen, B., Vaish, V., Horowitz, M., McDowall, I., and Bolas, M. 2004. Synthetic Aperture Confocal Imaging. In SIGGRAPH '04, 825--834. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Masselus, V., Peers, P., Dutré, P., and Willems, Y. D. 2003. Relighting with 4D Incident Light Fields. In SIGGRAPH '03, 613--620. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Matusik, W., Pfister, H., Ngan, A., Beardsley, P., and McMillan, L. 2002. Image-Based 3D Photography Using Opacity Hulls. In SIGGRAPH '02, 427--437. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Matusik, W., Pfister, H., Ziegler, R., Ngan, A., and McMillan, L. 2002. Acquisition and Rendering of Transparent and Refractive Objects. In Eurographics Symposium on Rendering, 277--288. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Matusik, W., Loper, M., and Pfister, H. 2004. Progressively-Refined Reflectance Functions for Natural Illumination. In Eurographics Symposium on Rendering, 299--308. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Peers, P., and Dutré, P. 2003. Wavelet Environment Matting. In Eurographics Symposium on Rendering. 157--166. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Rayleigh, J. W. S. B. 1900. On the Law of Reciprocity in Diffuse Reflexion. Philosophical Magazine 49, 324--325.Google ScholarGoogle Scholar
  13. Robertson, M. A., S., and Stevenson, R. L. 1999. Dynamic Range Improvement through Multiple Exposures. In Proceedings of the IEEE Intl. Conference on Image Processing (ICIP'99), 159--163.Google ScholarGoogle Scholar
  14. Rusinkiewicz, S., Hall-Holt, O., and Levoy, M. 2002. Real-time 3D Model Acquisition. In SIGGRAPH '02, 438--446. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Schechner, Y. Y., Nayar, S. K., and Belhumeur, P. N. 2003. A Theory of Multiplexed Illumination. In Proceedings of the IEEE Intl. Conference on Computer Vision (ICCV '03), 808--815. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Tu, P., Mendonca, P., Ross, J., and Miller, J. 2003. Surface Registration with a Helmholtz Reciprocity Image Pair. In IEEE Workshop on Color and Photometric Methods in Computer Vision.Google ScholarGoogle Scholar
  17. Veach, E. 1997. Robust Monte Carlo Methods for Light Transport Simulation. PhD thesis, Stanford University. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Von Helmholtz, H. 1856. Treatise on Physiological Optics (1925). The Optical Society of America. Electronic edition (2001): University of Pennsylvania http://psych.upenn.edu/backuslab/helmholtz.Google ScholarGoogle Scholar
  19. Whitted, T. 1980. An Improved Illumination Model for Shaded Display. Commun. ACM 23, 6, 343--349. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Wilburn, B., Joshi, N., Vaish, V., Talvala, E.-V., Antunez, E., Barth, A., Adams, A., Levoy, M., and Horowitz, M. 2005. High Performance Imaging using Large Camera Arrays. In SIGGRAPH '05. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Zickler, T., Belhumeur, P., and Kriegman, D. 2002. Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction. Intl. Journal of Computer Vision 49, 2--3, 215--227. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Zongker, D. E., Werner, D. M., Curless, B., and Salesin, D. H. 1999. Environment Matting and Compositing. In SIGGRAPH '99, 205--214. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Zotkin, D., Duraiswami, R., Grassi, E., and Gumerov, N. 2004. Fast Head Related Transfer Function Measurement via Reciprocity. Technical Report No. CS-4620, University of Maryland.Google ScholarGoogle Scholar

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          cover image ACM Transactions on Graphics
          ACM Transactions on Graphics  Volume 24, Issue 3
          July 2005
          826 pages
          ISSN:0730-0301
          EISSN:1557-7368
          DOI:10.1145/1073204
          Issue’s Table of Contents

          Copyright © 2005 ACM

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          Publication History

          • Published: 1 July 2005
          Published in tog Volume 24, Issue 3

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