Skip to main content

Decomposition Equation of Basis Images with Consideration of Global Illumination

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7633)

Abstract

In augmented reality, it is required to sense the changing of the light condition for achieving illumination consistency. In this paper, we build up the decomposition equation of basis images of static scenes for this purpose. It is proved that the basis images are invariants of the scene, which is the global illumination effects of a distributed light source with unit power, and it is unnecessary to assume that the reflectance of appearance of objects in scenes is ideal diffuse. Our method can also be applied in image understanding and compressing.

Keywords

  • basis image decomposition
  • illumination invariants
  • global illumination

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   72.00
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kajiya, J.: The rendering equation. In: SIGGRAPH 1986 Proceedings of the 13th Annual Conference on Computer Graphics and Interactive Techniques, vol. 20(4) (1986)

    Google Scholar 

  2. Liu, Y., Qin, X., Xu, S., Nakamae, E., Peng, Q.: Light source estimation of outdoor scenes for mixed reality. The Visual Computer: International Journal of Computer Graphics 25(5-7), 637–646 (2009)

    CrossRef  Google Scholar 

  3. Barrow, H., Tenenbaum, J.: Recovering intrinsic scene characteristics fromimages. In: Computer Vision Systems (1978)

    Google Scholar 

  4. Matsushita, Y., Lin, S., Kang, S.B., Shum, H.-Y.: Estimating Intrinsic Images from Image Sequences with Biased Illumination. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004, Part II. LNCS, vol. 3022, pp. 274–286. Springer, Heidelberg (2004)

    CrossRef  Google Scholar 

  5. Kimmel, R., Elad, M., Shaked, D., Keshet, R., Sobel, I.: A variational framework for retinex. International Journal of Computer Vision, 7–23 (2003)

    Google Scholar 

  6. Tappen, M., Freeman, W., Adelson, E.: Recovering intrinsic images from a single image. In: Advances in Neural Information Processing Systems 15. MIT Press (2002)

    Google Scholar 

  7. Sunkavalli, K., Matusik, W., Pfister, H., Rusinkiewicz, S.: Factored time-lapse video. In: Proc. of SIGGRAPH, vol. 26(3), pp. 101–111 (2007)

    Google Scholar 

  8. Sunkavalli, K., Romeiro, F., Matusik, W., Zickler, T., Pfister, H.: What do color changes reveal about an outdoor scene? In: IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1–8 (2008)

    Google Scholar 

  9. Tadamura, K., Nakamae, E., Kaneda, K., Baba, M., Yamashita, H., Nishita, T.: Modeling of Skylight and Rendering of Outdoor Scenes. Comput. Graph. Forum 12(3), 189–200 (1993)

    CrossRef  Google Scholar 

  10. Debevec, P., Malik, J.: Recovering high dynamic range radiance maps from photographs. In: Proc. of SIGGRAPH, pp. 369–378 (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Qin, X., Zhang, R., Lin, L., Zhong, F., Xing, G., Peng, Q. (2012). Decomposition Equation of Basis Images with Consideration of Global Illumination. In: Hu, SM., Martin, R.R. (eds) Computational Visual Media. CVM 2012. Lecture Notes in Computer Science, vol 7633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34263-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34263-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34262-2

  • Online ISBN: 978-3-642-34263-9

  • eBook Packages: Computer ScienceComputer Science (R0)